System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting an image of a space desired to be reformed; means for analyzing the input image and generating a vision after reforming; means for obtaining quotations from a plurality of reforming companies based on the generated vision after reforming; means for presenting the obtained quotation information to a user; means for generating an electronic contract based on a reforming plan selected by the user; and means for monitoring progress of a reforming process and notifying the user of AI information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] The renovation industry faces many challenges in the renovation process. For example, users often feel anxious due to inconsistent communication with renovation contractors, the hassle of obtaining estimates, and the lack of transparency regarding the progress of the renovation process. It is also difficult to visualize the final result, which can result in a different outcome than expected. There is a need to resolve these issues and make the renovation process more efficient and transparent. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems with a system that includes a means for inputting image data of a space to be renovated, a generation AI means for analyzing the input image data and generating a vision of the renovated space, a means for obtaining estimates from multiple renovating companies based on the generated vision of the renovated space, a means for presenting the obtained estimate information to the user, a means for generating an electronic contract based on the renovating plan selected by the user, and a means for monitoring the progress of the renovating process and notifying the user of progress information. This allows the user to proceed through the entire renovating process efficiently and transparently, and by being able to specifically confirm the vision of the renovated space in advance, user satisfaction can be improved.

[0006] "Image data" means a digital image file containing visual information of the space desired to be remodeled.

[0007] "Input means" refers to the interface or function that allows the user to upload or provide image data of the space they wish to renovate to the system.

[0008] A "generative AI method" is an artificial intelligence or machine learning algorithm that analyzes input image data and generates a vision of the renovated home.

[0009] "Means of obtaining estimates" refers to functions or systems for collecting estimates of the costs required for renovation from multiple renovation contractors based on the generated vision of the renovated building.

[0010] "Presentation means" refers to the interface or function for visually displaying the acquired estimate information and the generated vision of the remodeled home to the user.

[0011] "Means for generating an electronic contract" refers to a function or system that automatically creates a contract for renovation work based on the renovation plan selected by the user.

[0012] "Means for notifying progress information" refers to functions or systems that inform users in real time of the completion status and progress of each step in the renovation process. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0014] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0017] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0018] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0019] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0026] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0033] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0034] The following describes in detail the embodiments of the present invention. The present invention is a system that provides an efficient and transparent renovation process based on image data of a space that is desired to be renovated. This system includes the following main components: a means for inputting image data, a generating AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, and a means for notifying progress information.

[0035] Users upload images of the space they wish to renovate.

[0036] Users upload photos of the room they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users can select the target photo and click the "Upload" button to provide the image data to the system.

[0037] The server analyzes the image data and generates a vision of the remodeled home.

[0038] The server receives the uploaded image data and sends it to a cloud-based AI generator. The AI ​​first analyzes the image data to understand the current layout, furniture placement, wall color, material, and other characteristics. It then generates a vision of the remodeled home based on the user's preferences. In doing so, the AI ​​considers styles such as modern, classic, and minimalist to propose the optimal design.

[0039] Examples:

[0040] If a user uploads a photo of their living room, the server analyzes the photo and recognizes the current furniture arrangement, wall color, floor material, etc.

[0041] As a result, the generative AI chooses a modern style and creates a revision that includes new furniture arrangements, wall paint, flooring materials, etc.

[0042] The server gets quotes from multiple renovation contractors

[0043] The server proposes renovation plans to multiple renovation companies based on the generated vision of the renovation. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database.

[0044] Examples:

[0045] The server sends the design of the renovated living room to contractors A, B, and C and obtains quotes from each.

[0046] Contractor A quotes $10,000, Contractor B quotes $12,000, and Contractor C quotes $11,000.

[0047] The terminal displays the estimate information and vision on the user interface.

[0048] The server organizes the collected estimate information and the generated vision for the renovation, and sends it to the terminal. The terminal displays this information on a user interface, allowing the user to easily compare the renovation plan and estimate.

[0049] Examples:

[0050] The device displays an image of the new living room design, along with corresponding quotes (price and item details) from three contractors.

[0051] The user selects a renovation plan and generates an electronic contract

[0052] The user compares the proposed renovation plans with the estimates and selects the plan they like best. After that, by clicking the "Select" button, the server automatically generates an electronic contract. The user digitally signs the electronic contract, and the contract is officially concluded.

[0053] Examples:

[0054] The user selects the $10,000 plan from Provider A and clicks the "Select" button.

[0055] The server automatically generates a contract and displays it on the terminal.

[0056] The user digitally signs the contract and the agreement is concluded.

[0057] The server monitors the progress of the renovation process and notifies the user of the progress.

[0058] The server monitors the progress of the renovation process, collecting real-time information as the contractor updates the progress of each step. Notifications are sent to the device according to the progress of the renovation, allowing the user to keep track of the progress of the renovation at all times.

[0059] Examples:

[0060] Update the status after the contractor finishes painting the wall.

[0061] The server receives the progress information and sends a notification to the terminal that "wall painting is complete."

[0062] The above series of processes allows users to proceed with the renovation process efficiently and transparently. By confirming the vision for the post-renovation state in advance, it is possible to avoid unexpected problems and achieve a renovation that is highly satisfactory.

[0063] The processing flow will be explained below.

[0064] Step 1:

[0065] Users take photos of the room they want to renovate and select the photos using the app on their device or the web interface. After selecting, they click the "Upload" button to send the image data to the system.

[0066] Step 2:

[0067] The device sends the image data to a server, which then stores the received image data in cloud storage and sends instructions for analysis to the generative AI system.

[0068] Step 3:

[0069] The AI ​​system on the server analyzes the image data and identifies the current room layout, furniture placement, wall color, and materials. Once the analysis is complete, it generates a vision of what the room will look like after renovation. This vision generation takes into account the selected style (modern, classic, etc.).

[0070] Step 4:

[0071] The server sends the vision of the remodeled house obtained from the generative AI to multiple remodeling contractors and requests quotes from each contractor. The request includes details of the remodeling contents (e.g., new furniture arrangement, wall painting, etc.).

[0072] Step 5:

[0073] Each contractor creates an estimate based on the received renovation plan and sends it back to the server, which collects all estimates and stores them in a database.

[0074] Step 6:

[0075] The server organizes the collected estimate information and the generated vision of the remodeled house and sends this information to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[0076] Step 7:

[0077] The user compares the displayed renovation plans with the estimates and selects the most suitable plan. After selecting, the user clicks the "Select" button, and the server generates an electronic contract based on the selected plan.

[0078] Step 8:

[0079] The user then checks the generated electronic contract on the terminal and digitally signs it, officially signing the contract with the renovation contractor.

[0080] Step 9:

[0081] The server provides a project management system to the contractor to monitor the progress of the renovation process. The contractor updates the status as each renovation step (e.g., demolition, installation, finishing, etc.) is completed.

[0082] Step 10:

[0083] The server receives real-time progress information from the contractor, collects the progress status, and sends a notification to the device each time a step is completed, informing the user of the progress of the renovation.

[0084] Example 1

[0085] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0086] The traditional renovation process requires users to communicate directly with renovation contractors, which is time-consuming and often opaque. It's also difficult for users to see the desired vision for the finished product beforehand, which can result in a less-than-satisfactory renovation. There are also few ways to monitor the progress of renovations in real time, which can leave users feeling unsatisfied. A system that can solve these issues is needed.

[0087] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0088] In this invention, the server includes: means for uploading image data of the space the user wishes to renovate from a terminal and transmitting it to the server; a generation AI means for the server to analyze the input image data and generate a vision of the renovated space; a means for obtaining estimates from multiple renovating contractors based on the generated vision of the renovated space; a means for presenting the obtained estimate information on a user interface; a means for generating an electronic contract based on the renovating plan selected by the user; and a means for monitoring the progress of the renovating process and notifying the user of progress information. This allows the user to proceed with the renovating process efficiently and transparently, confirm the vision of the renovated space in advance, and achieve a renovating experience that is highly satisfying. Furthermore, the ability to grasp the progress of the renovating process in real time alleviates anxiety.

[0089] A "user" is an individual or entity that operates a control device or computer system to perform a particular operation.

[0090] A "terminal" is a device operated by a user, and is an electronic device including a smartphone, tablet, PC, etc.

[0091] A "server" is a central control unit that receives and processes requests over a network.

[0092] "Image data" is data containing visual information stored in digital form.

[0093] "Generative AI" is an artificial intelligence technology that analyzes input data and generates new data.

[0094] The "vision after renovation" is a visual image that specifically expresses the appearance and design of the space after renovation.

[0095] A "renovation contractor" is a professional or company that specializes in renovation work.

[0096] "Quote" means a document setting out the prices and terms for specific services or goods.

[0097] The "user interface" is the part that provides the screen and operation method for the user to interact with the system.

[0098] An "electronic contract" is a contract document created in digital format that becomes legally binding when signed digitally.

[0099] "Progress information" is data that indicates the progress of a project or task.

[0100] A "notification" is a message that notifies the user of a particular event or update.

[0101] The present invention provides a system for providing an efficient and transparent renovation process based on image data of a space that is desired to be renovated. Specific embodiments will be described below.

[0102] Users upload images of the space they wish to renovate

[0103] Users upload image data of the space they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users select an image of the space to be renovated and click the "upload" button to send the image data to the server. As a specific example, a user might take a photo of their living room with their smartphone and upload it through the app.

[0104] The server analyzes the image data and generates a vision of the remodeled home.

[0105] The server receives the uploaded image data and sends it to a generating AI on the cloud. The generating AI first analyzes the image data to understand characteristics such as the space's layout, furniture placement, and wall color and materials. It then generates a vision of the remodeled space based on the user's desired remodeling style (e.g., modern, classic, minimalist, etc.). The generating AI model uses the latest deep learning technology. For example, a user may select a "modern style," and the generating AI may propose a design that matches that.

[0106] The server gets quotes from multiple renovation contractors

[0107] Based on the generated vision of the remodel, the server proposes renovation plans to multiple remodeling companies. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database. For example, the server may send proposals to companies A, B, and C, and they may return estimates of $10,000, $12,000, and $11,000, respectively.

[0108] The terminal displays the estimate information and vision on the user interface.

[0109] The server organizes the collected estimate information and the generated vision for the remodeled home, and sends it to the device. The device then displays this information on a user interface, allowing the user to easily compare the remodeling plan and estimates. For example, a device screen might display a design image of a new living room alongside three corresponding estimates (prices and item details).

[0110] The user selects a renovation plan and generates an electronic contract

[0111] The user compares the proposed renovation plans with the estimates and selects the plan they like best. After that, when they click the "Select" button, the server automatically generates an electronic contract and displays it on the terminal. The user digitally signs the electronic contract, and the contract is officially concluded. As a specific example, the user selects Contractor A's $10,000 plan, clicks the "Select" button, and the server generates a contract and displays it on the terminal.

[0112] The server monitors the progress of the renovation process and notifies the user of the progress.

[0113] The server monitors the progress of the entire renovation process and collects information in real time as the renovation contractor updates the progress of each step. Depending on the progress of the renovation, the server sends notifications to the device. This allows the user to always know the progress of the renovation. For example, after the renovation contractor finishes painting the wall, the server updates the status and sends a notification to the device saying "Wall painting completed."

[0114] This allows users to proceed with the renovation process efficiently and transparently. By checking the vision for the finished product in advance, it is possible to avoid unexpected problems and achieve a highly satisfying renovation. In addition, by knowing the progress of the renovation in real time, users can eliminate anxiety and proceed with the renovation with peace of mind.

[0115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0116] Step 1:

[0117] The user uploads image data of the space they wish to renovate.

[0118] Specifically, a user opens the app or web interface on their smartphone or PC, presses the "Upload" button, selects an image file (for example, "living_room.jpg"), and clicks the "Send" button.

[0119] Input: Image data of the living room

[0120] Output: Image data is sent from the device to the server

[0121] Step 2:

[0122] The server receives the image data and sends it to the generation AI on the cloud.

[0123] Specifically, the server transfers the received "living_room.jpg" to the generation AI, which analyzes the image data to determine the layout, furniture placement, wall color and materials, and extracts their characteristics.

[0124] Input: Image data of the living room

[0125] Output: Image data characteristics information

[0126] Step 3:

[0127] The server generates characteristic information and creates a vision for the post-renovation period based on AI.

[0128] Specifically, the generation AI uses the analyzed characteristic information to generate a post-renovation design based on the user's desired renovation style (for example, "modern style") and creates a vision.

[0129] Input: Image data characteristics information and the user's desired renovation style

[0130] Output: Vision after renovation (visual image)

[0131] Step 4:

[0132] Based on the vision of the remodeled home that the server has generated, it requests estimates from multiple remodeling companies.

[0133] Specifically, the server sends the generated vision to vendors A, B, and C and receives quotes from each. For example, the quote from vendor A is $10,000, from vendor B is $12,000, and from vendor C is $11,000.

[0134] Input: Vision after renovation

[0135] Output: Estimate information from each renovation contractor

[0136] Step 5:

[0137] The server sends the collected estimate information and the generated vision to the terminal.

[0138] Specifically, the server sends the design image of the new living room and three estimates to the device, which then displays this information on the user interface, allowing the user to easily compare the renovation plans and estimates.

[0139] Input: Estimate information and vision after renovation

[0140] Output: Vision and estimate information for the renovation displayed on the user interface

[0141] Step 6:

[0142] The user selects a renovation plan and generates an electronic contract.

[0143] Specifically, when the user selects Provider A's $10,000 plan and clicks the "Select" button, the server automatically generates an electronic contract and displays it on the terminal. Once the user digitally signs the contract, the contract is officially concluded.

[0144] Input: Selected renovation plan

[0145] Output: Generated e-contract and digitally signed contract

[0146] Step 7:

[0147] The server monitors the progress of the renovation process and notifies the user of the progress.

[0148] Specifically, the renovation contractor updates the progress of each process to the server, which collects the information in real time. The server then sends notifications to the device according to the progress. For example, a notification saying "Wall painting completed" is displayed on the device.

[0149] Input: Progress information from the renovation contractor

[0150] Output: Progress notification to user terminal

[0151] This allows users to navigate the renovation process efficiently and transparently.

[0152] (Application example 1)

[0153] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0154] The conventional renovation process required users to contact multiple renovation contractors and compare quotes, which was time-consuming, and it was difficult to see the vision of the finished product in advance. Furthermore, the progress of the renovation process was unclear, which led to the possibility of unexpected problems occurring. Furthermore, in terms of physical security, it was difficult to detect suspicious individuals or abnormal behavior, making it difficult to ensure an environment in which renovations could be carried out with peace of mind.

[0155] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0156] In this invention, the server includes means for inputting image data of a space to be renovated, a generation AI means for analyzing the input image data and generating a vision of the renovated space, a means for obtaining estimates from multiple renovating companies based on the generated vision of the renovated space, a means for presenting the obtained estimate information to the user, a means for generating an electronic contract based on a renovating plan selected by the user, a means for monitoring the progress of the renovating process and notifying the user of progress information, a means for analyzing surveillance camera footage and detecting anomalies, and a means for issuing an alert when an anomaly is detected. This allows the user to proceed with the renovating process efficiently, ensures transparency, and strengthens physical security during the renovating process.

[0157] The "means for inputting image data of the space to be remodeled" is an interface that allows the user to import images of the room or space that the user wishes to remodel into the system.

[0158] The "generative AI means for analyzing input image data and generating a vision of the post-renovation state" is an artificial intelligence system that analyzes image data uploaded by users and predicts and suggests the state of the property after renovation.

[0159] "Means of obtaining estimates from multiple renovation contractors based on the generated vision of the remodeled home" refers to the process of requesting estimates from multiple renovation contractors based on the remodeling plan created by the generation AI.

[0160] The "means for presenting the acquired quotation information to the user" is an interface for visually displaying the collected quotation information to the user.

[0161] The "means for generating an electronic contract based on a renovation plan selected by a user" is a system that electronically generates a formal contract document based on a renovation plan selected by a user.

[0162] "Means for monitoring the progress of the renovation process and notifying the user of progress information" is a function that tracks the stage of the renovation work in real time and notifies the user of that information.

[0163] "Means for analyzing surveillance camera footage and detecting abnormalities" refers to a system that analyzes video data obtained from surveillance cameras and detects unusual movements or suspicious behavior.

[0164] "Means for issuing a warning when an abnormality is detected" is a function that immediately sends a warning to users and related organizations when an abnormality is detected through analysis.

[0165] The following is a detailed description of an embodiment of the present invention. This invention is a system that provides an efficient and transparent renovation process based on image data of a space to be renovated, and further includes a function that analyzes surveillance camera footage to detect abnormalities and issue warnings. This system mainly includes the following components: a means for inputting image data, a generation AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, a means for notifying progress information, a means for analyzing surveillance camera footage, and a means for issuing warnings.

[0166] A means of inputting image data

[0167] Users upload photos of the room they want to renovate to the system from their device (smartphone, tablet, PC, etc.) using a dedicated app or web interface.

[0168] Generation AI means

[0169] The server sends the image data uploaded by the user to the AI ​​generator, which analyzes the current floor plan, furniture placement, wall color and materials, etc. It then generates a vision of the remodeled home based on the user's preferences. This AI generator then proposes the optimal design, taking into account styles such as modern, classic, and minimalist.

[0170] How to get and provide quotes

[0171] Based on the generated vision of the remodeled house, the server proposes the remodeling contents to multiple remodeling companies and obtains estimates from each company. The estimate information is stored in a database, and the collected estimate information and the generated vision of the remodeled house are displayed on the user interface. The user can compare the proposed remodeling plan with the estimates.

[0172] A means of generating electronic contracts

[0173] The user compares the proposed renovation plan with the estimate, and the server automatically generates an electronic contract based on the plan they select. The user then digitally signs the electronic contract, officially concluding the contract.

[0174] A means of communicating progress information

[0175] The server monitors the progress of the renovation process, collecting real-time progress information as the contractor completes each step, and then sends notifications to the device, allowing the user to stay informed of the progress of the renovation.

[0176] Means of analyzing surveillance camera footage and issuing warnings

[0177] The server analyzes surveillance camera footage in real time. The main technologies and software used include OpenCV (video data processing) and Keras (generative AI model inference). The system acquires video data from surveillance cameras and performs image analysis to detect suspicious individuals or abnormal behavior. If an abnormality is detected, the server immediately sends an alert to the user or relevant authorities. For example, if a suspicious individual is detected in the middle of the night on surveillance camera footage from a home's living room, the server analyzes the image data and issues an alert.

[0178] Example prompt: "Detect suspicious individuals from this video data."

[0179] This series of processes allows users to efficiently navigate the renovation process at hand, ensures transparency, and also enhances physical security during the renovation.

[0180] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0181] Step 1:

[0182] The user uploads image data of the space they wish to renovate from their terminal.

[0183] Input: A photo of the room taken by the user.

[0184] What happens: The user uses the app on their device or the web interface to select the photo they want to upload and clicks the "Upload" button.

[0185] Output: Image data is sent to the server and saved.

[0186] Step 2:

[0187] The server analyzes the image data and generates a vision of the post-renovation look.

[0188] Input: Uploaded image data.

[0189] How it works: The server sends image data to a cloud-based generative AI model, which analyzes characteristics such as the floor plan, furniture placement, and wall color and materials. The generative AI then generates a vision for the remodel based on the user's preferences, taking into account styles such as modern, classic, and minimalist.

[0190] Output: Design images containing the vision of the remodeled space according to the user's wishes.

[0191] Step 3:

[0192] The server obtains estimates from multiple renovation companies based on the generated vision of the remodeled house.

[0193] Input: Generated vision of the remodeled area.

[0194] Specific operation: The server sends the renovation vision to multiple renovation contractors and requests estimates based on the renovation contents.

[0195] Output: Estimate information from each renovation contractor.

[0196] Step 4:

[0197] The terminal displays estimate information and a vision for the remodeled home on a user interface.

[0198] Input: The estimate information obtained and the generated vision for the remodel.

[0199] Specific operation: The server organizes the estimate information and design images and sends them to the terminal. The estimate information (price and item details) and the renovation vision are displayed on the user interface.

[0200] Output: The estimate information and vision of the remodel presented to the user.

[0201] Step 5:

[0202] The user selects a renovation plan and generates an electronic contract.

[0203] Input: User selected renovation plan.

[0204] Specific operation: The user selects the plan they like from the presented plans and clicks the "Select" button, which causes the server to automatically generate an electronic contract.

[0205] Output: An automatically generated electronic contract, and the user's digital signature.

[0206] Step 6:

[0207] The server monitors the progress of the renovation process and notifies the user of the progress.

[0208] Input: Progress data for the renovation process.

[0209] What it does: Monitors progress and updates the status as the contractor completes each step. Collects real-time progress updates and sends them to the device.

[0210] Output: Progress information sent to the user's device in real time.

[0211] Step 7:

[0212] The server analyzes surveillance camera footage and detects abnormalities.

[0213] Input: Security camera footage.

[0214] How it works: The server receives video data from surveillance cameras in real time and analyzes the footage using OpenCV. A generative AI model using Keras detects suspicious individuals and abnormal behavior.

[0215] Output: Information about detected anomalies.

[0216] Step 8:

[0217] The server issues an alert when it detects an abnormality.

[0218] Input: Anomaly detection information.

[0219] Specific behavior: If an anomaly is detected, the server will use an alert notification system such as Twilio to send an alert to the user or relevant authorities.

[0220] Output: A warning message.

[0221] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0222] The following describes in detail the embodiments of the present invention. The present invention is a system that provides an efficient and transparent renovation process based on image data of a space to be renovated, and further combines it with an emotion engine that recognizes the user's emotions and reflects them in the renovation plan. This system includes the following main components: a means for inputting image data, a generation AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, a means for notifying progress information, and an emotion engine that recognizes the user's emotions.

[0223] Users upload images of the space they wish to renovate.

[0224] Users upload photos of the room they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users can select the target photo and click the "Upload" button to provide the image data to the system.

[0225] The server analyzes the image data and generates a vision of the remodeled home.

[0226] The server receives the uploaded image data and sends it to a cloud-based AI generator. The AI ​​first analyzes the image data to identify the current floor plan, furniture placement, wall color and materials, etc. It then generates a vision for the remodel based on the user's preferences. In doing so, the AI ​​considers styles such as modern, classic, and minimalist to propose the optimal design.

[0227] Examples:

[0228] If a user uploads a photo of their living room, the server analyzes the photo and recognizes the current furniture arrangement, wall color, floor material, etc.

[0229] As a result, the generative AI chooses a modern style and creates a revision that includes new furniture arrangements, wall paint, flooring materials, etc.

[0230] The server gets quotes from multiple renovation contractors

[0231] The server proposes renovation plans to multiple renovation companies based on the generated vision of the renovation. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database.

[0232] Examples:

[0233] The server sends the design of the renovated living room to contractors A, B, and C and obtains quotes from each.

[0234] Contractor A quotes $10,000, Contractor B quotes $12,000, and Contractor C quotes $11,000.

[0235] The terminal displays the estimate information and vision on the user interface.

[0236] The server organizes the collected estimate information and the generated vision of the remodeled house and sends it to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[0237] Examples:

[0238] The device displays an image of the new living room design, along with corresponding quotes (price and item details) from three contractors.

[0239] Recognizing the user's emotional state

[0240] As the user checks the vision for the remodeled home, the device uses emotion recognition sensors such as cameras and microphones to detect the user's emotions in real time, and the emotion engine then determines whether the user is satisfied or anxious.

[0241] Examples:

[0242] If a user looks at the living room design presented and says, "I'd prefer something a little simpler in color than this," the device will determine from the user's voice and facial expression that they are feeling anxious.

[0243] The server modifies the renovation plan based on the user's emotions.

[0244] The server receives the emotion data provided by the emotion engine and automatically modifies the renovation plan based on the user's emotions. For example, if the user feels anxious, the server instructs the generation AI to change the suggested color palette or furniture arrangement.

[0245] Examples:

[0246] The server receives the user's emotional data and instructs the AI ​​to re-optimize the living room design, resulting in a new design with altered color tones.

[0247] The user checks and selects the new renovation plan.

[0248] The terminal displays the revised renovation plan and estimate information on the user interface again, allowing the user to compare and select. The user can check the plans and select the most suitable plan once they are satisfied.

[0249] The server generates electronic contracts and monitors the renovation process.

[0250] The server generates an electronic contract based on the renovation plan selected by the user, and once the user digitally signs it, the renovation contract is officially concluded.The server then monitors the progress of the renovation process and notifies the terminal of progress information each time the contractor completes each step.

[0251] Examples:

[0252] The server receives the progress information and notifies the terminal of the status, such as "Painting of the wall is complete."

[0253] This system allows users to achieve a more satisfying renovation by providing them with a renovation plan that takes their emotions into consideration.

[0254] The processing flow will be explained below.

[0255] Step 1:

[0256] Users take photos of the room they want to renovate and select the photos using the app on their device or the web interface. After selecting, they click the "Upload" button to send the image data to the system.

[0257] Step 2:

[0258] The device sends the image data to a server, which then stores the received image data in cloud storage and sends instructions for analysis to the generative AI system.

[0259] Step 3:

[0260] The AI ​​system on the server analyzes the image data and identifies the current room layout, furniture placement, wall color, and materials. Once the analysis is complete, it generates a vision of what the room will look like after renovation. This vision generation takes into account the style selected by the user (modern, classic, etc.).

[0261] Step 4:

[0262] The server sends the vision of the remodeled house obtained from the generative AI to multiple remodeling contractors and requests quotes from each contractor. The request includes details of the remodeling contents (e.g., new furniture arrangement, wall painting, etc.).

[0263] Step 5:

[0264] Each contractor creates an estimate based on the received renovation plan and sends it back to the server, which collects all estimates and stores them in a database.

[0265] Step 6:

[0266] The server organizes the collected estimate information and the generated vision of the remodeled house and sends this information to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[0267] Step 7:

[0268] As the user checks the vision for the remodeled home, the device uses emotion recognition sensors such as cameras and microphones to detect the user's emotions in real time, and the emotion engine then determines whether the user is satisfied or anxious.

[0269] Step 8:

[0270] The server receives the emotion data provided by the emotion engine and automatically modifies the renovation plan based on the user's emotions. For example, if the user feels anxious, the server instructs the generation AI to change the suggested color palette or furniture arrangement.

[0271] Step 9:

[0272] The server sends the revised renovation plan to the terminal again, and the terminal displays the new renovation plan and estimate information on the user interface, allowing the user to compare and select again.

[0273] Step 10:

[0274] The user compares the displayed renovation plans with the estimates and selects the most suitable plan. After selecting, the user clicks the "Select" button, and the server generates an electronic contract based on the selected plan.

[0275] Step 11:

[0276] The user then checks the generated electronic contract on the terminal and digitally signs it, officially signing the contract with the renovation contractor.

[0277] Step 12:

[0278] The server provides a project management system to the contractor to monitor the progress of the renovation process. The contractor updates the status as each renovation step (e.g., demolition, installation, finishing, etc.) is completed.

[0279] Step 13:

[0280] The server receives real-time progress information from the contractor, collects the progress status, and sends a notification to the device each time a step is completed, informing the user of the progress of the renovation.

[0281] Example 2

[0282] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0283] In conventional renovation processes, users have to spend a lot of time and effort to come up with a concrete renovation plan. Furthermore, the plan does not take into account the user's emotional changes, resulting in low satisfaction with the final renovation results. Furthermore, obtaining and comparing quotes from renovation contractors is cumbersome, resulting in a lack of efficiency in the entire process. A system that can solve these issues and improve user satisfaction is needed.

[0284] The specification processing by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting image data of a space desired to be renovated, generation AI means for analyzing the input image data and generating a vision of the renovated space, means for obtaining estimates from multiple renovating companies based on the generated vision of the renovated space, means for presenting the obtained estimate information to the user, emotion engine means for recognizing the user's emotional state and revising the renovating plan, means for presenting the revised renovating plan to the user and allowing the user to select it, means for generating an electronic contract based on the renovating plan selected by the user, and means for monitoring the progress of the renovating process and notifying the user of progress information. This enables an efficient and transparent renovating process that takes the user's emotions into consideration.

[0285] "Means for inputting image data of the space you wish to renovate" refers to a method and device that allows a user to use a terminal (smartphone, tablet, PC, etc.) to upload images of the room you wish to renovate to the system.

[0286] "Generative AI means" refers to artificial intelligence technology and related devices that analyze uploaded image data, identify the current floor plan, furniture placement, wall color and material, etc., and then generate a vision of the renovated home based on the user's wishes.

[0287] "Means for obtaining estimates" refers to a method and device for presenting the renovation details to multiple renovation contractors based on the generated vision of the renovation and obtaining estimates from each contractor.

[0288] "Means for presenting acquired estimate information to the user" refers to a method and device for organizing the estimate information acquired from each renovation contractor and displaying it on a user interface so that the user can check it.

[0289] "Emotion engine means" refers to technology and related devices that recognize the user's emotional state (e.g., satisfaction, anxiety, etc.) in real time when the user confirms the vision for the remodeling, and adjusts the remodeling plan based on that information.

[0290] The "means for generating an electronic contract" refers to a system and method for automatically generating an electronic contract based on a renovation plan selected by a user and for the user to digitally sign it.

[0291] "Means for monitoring the progress of the renovation process and notifying the user of progress information" refers to a method and apparatus for monitoring the progress of the renovation in real time and notifying the user of the progress as each process is completed.

[0292] The present invention is a system for efficiently and transparently carrying out the renovation process, and is capable of consistently performing everything from inputting image data to obtaining estimates, presenting renovation plans, and generating contracts. The present invention also incorporates an emotion engine that can recognize the user's emotions in real time and reflect them in the renovation plan. The specific hardware and software configurations and processing procedures for this system are described in detail below.

[0293] The system consists of a terminal for users to input image data of the room they wish to renovate, a generation AI that analyzes and generates the data, a server for obtaining estimate information, a terminal that provides a user interface, an emotion engine that recognizes the user's emotions, and a software module for generating electronic contracts.

[0294] Hardware and software configuration

[0295] 1. Device:

[0296] Internet-connected devices such as smartphones, tablets, and PCs.

[0297] These devices have built-in cameras and microphones, and are capable of capturing image data and collecting audio data.

[0298] 2. Server:

[0299] Use computing resources built on cloud infrastructure.

[0300] Hosts generative AI models and performs data analysis and generation processing on the cloud.

[0301] 3. Generation AI:

[0302] AI model using machine learning algorithms.

[0303] It combines image processing techniques (e.g., computer vision) and natural language processing techniques to generate a vision of what the renovation will look like.

[0304] 4. Emotion Engine:

[0305] It uses voice and facial expression recognition technology to analyze the user's emotions in real time.

[0306] Based on the analysis results, feedback is sent to the generating AI, which then adjusts the renovation plan.

[0307] 5. Software Module:

[0308] Software for integrated management of the entire system.

[0309] Generates electronic contracts and notifies progress information.

[0310] Detailed procedure

[0311] 1. User image data upload:

[0312] Users use an application on their smartphone or PC to take pictures of the room they want to renovate and upload them to the system.

[0313] The device sends the uploaded images to a server on the cloud.

[0314] 2. Image data analysis and post-renovation vision generation:

[0315] The server sends the received image data to the generative AI model.

[0316] The generative AI model analyzes images to identify the current floor plan, furniture placement, wall color, etc., and generates a vision of what the home will look like after renovation.

[0317] The generative AI model takes into account a specified style (e.g., modern, classic, minimalist, etc.) and suggests the best design.

[0318] Examples:

[0319] When a user uploads a photo of their living room to the system, the server sends the photo to a generative AI model.

[0320] A generative AI model analyzes photos and generates modern living room designs.

[0321] Example prompt sentence:

[0322] "User has uploaded a picture of their living room and expressed a preference for a minimalist style. Analyze the current room layout and provide a new room design that features minimalist elements."

[0323] 3. Obtaining and Presenting Quotes:

[0324] Based on the generated vision of the remodeled home, the server proposes remodeling plans to multiple remodeling contractors and obtains estimates.

[0325] The acquired quotation data is organized and presented to the user through a user interface.

[0326] The user compares the displayed quote information and selects the appropriate plan.

[0327] Examples:

[0328] The server sends a request for quotation to three vendors (A, B, and C) and receives a quotation from each.

[0329] The server organizes the quote information and sends it to the terminal.

[0330] The terminal displays quote information on the user interface, allowing the user to compare and consider options.

[0331] 4. Emotional engine regulation:

[0332] The device uses a camera and microphone to recognize the user's emotional state in real time as they check the vision for the renovated home.

[0333] The emotion engine analyzes the user's emotions from their facial expressions and voice and sends that information to the server.

[0334] Based on the emotional data, the server instructs the generating AI to adjust the renovation plan.

[0335] Examples:

[0336] If the user shows an anxious expression and says, "I want it to be a little simpler," the device collects that emotional data.

[0337] The server issues new instructions to the generation AI and regenerates the renovation plan based on the emotion data.

[0338] 5. Electronic contract generation and progress notification:

[0339] The server generates an electronic contract based on the renovation plan selected by the user and prompts the user to digitally sign it.

[0340] Once the renovation process begins, the server monitors progress information in real time and notifies the user's terminal of the completion information for each process.

[0341] This allows users to use the optimal renovation plan that takes their feelings into consideration and experience an efficient and transparent renovation process.

[0342] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0343] Step 1:

[0344] Users upload images of the room they wish to renovate from their device to the system. They use the app on their device or the web interface to select the desired photo and click the "Upload" button. The input is the image file of the room taken by the user. The device then sends this image file to a server on the cloud. The output is the image data received by the server.

[0345] Specific behavior:

[0346] A user uploads a photo of their living room using a smartphone app.

[0347] The device sends the photo data to the server.

[0348] Step 2:

[0349] The server sends the received image data to the generative AI model. The input at this time is the image data sent to the server in step 1. The generative AI model analyzes the image and identifies the floor plan, furniture placement, decorative elements, etc. The results of this analysis become the output of the generative AI model.

[0350] Specific behavior:

[0351] The server sends image data from the living room to the generative AI model.

[0352] The generative AI model analyzes the image and recognizes the current furniture arrangement and room layout.

[0353] Step 3:

[0354] The generative AI model generates a vision of the remodeled home based on the analysis results and the user's desired style. The inputs are the image analysis results and the user's desired style (e.g., modern, classic). The output is the design details of the remodeled home.

[0355] Specific behavior:

[0356] A generative AI model generates a new design for a living room based on the user's "modern style" preferences.

[0357] The generated vision is stored on the cloud.

[0358] Step 4:

[0359] Based on the generated vision of the remodeled house, the server proposes the remodeling contents to multiple remodeling companies and obtains estimates. The input is the generated vision of the remodeled house, and the output is the estimate data returned by each company. The server stores these estimates in a database.

[0360] Specific behavior:

[0361] The server sends the vision for the remodeled house to contractors A, B, and C.

[0362] The server receives quotes from Vendor A for $10,000, Vendor B for $12,000, and Vendor C for $11,000.

[0363] The obtained quotation information is saved in the database.

[0364] Step 5:

[0365] The server organizes the collected estimate information and the generated vision of the remodeled house and sends it to the terminal. The input is the saved estimate information and the vision of the remodeled house, and the output is the information displayed on the user interface. The terminal displays this information, allowing the user to compare the estimate and the vision of the remodeled house.

[0366] Specific behavior:

[0367] The server organizes the estimate information and renovation vision and sends them to the terminal.

[0368] The terminal displays this information on the user interface.

[0369] Step 6:

[0370] When the user checks the vision of the renovation, the device detects the user's emotions in real time using emotion recognition sensors such as cameras and microphones. The input is the user's facial expression data and voice data, which the emotion engine analyzes and outputs as the user's emotional state.

[0371] Specific behavior:

[0372] While looking at the living room design presented to the user, the user says, "I'd prefer something a little simpler in color than this."

[0373] The device recognizes the user's emotions from their voice and facial expressions, and the emotion engine analyzes them.

[0374] Step 7:

[0375] The server receives the emotion data from the emotion engine and automatically modifies the renovation plan based on the user's emotion. The inputs are the emotion data from the emotion engine and the original renovation vision, and the modified renovation plan is output.

[0376] Specific behavior:

[0377] The server receives the emotion data and issues instructions to the generating AI again.

[0378] A generative AI model generates a new renovation plan with adjusted color tones.

[0379] Step 8:

[0380] The terminal displays the revised renovation plan and estimate information again on the user interface, allowing the user to compare and select. The input is the revised renovation plan and estimate information, and the output is screen information that the user can check. The user checks the plans and selects the most suitable one.

[0381] Specific behavior:

[0382] The terminal displays the revised renovation plan and estimate information on the user interface.

[0383] The user reviews the plans and chooses the one that best suits them.

[0384] Step 9:

[0385] The server generates an electronic contract based on the renovation plan selected by the user and prompts the user to sign it digitally. The input is the selected renovation plan and the user's digital signature information, and the output is a formal renovation contract. The server then monitors the renovation process and notifies the terminal of progress information.

[0386] Specific behavior:

[0387] The server generates the electronic contract.

[0388] The user digitally signs the document and the contract is concluded.

[0389] The server monitors the progress of the renovation and notifies the terminal of the completion information for each process.

[0390] The above-described processing flow allows the user to efficiently and transparently create an optimal renovation plan that reflects their own feelings.

[0391] (Application example 2)

[0392] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0393] In the conventional renovation process, there was a lack of means to confirm whether the user was satisfied with the proposed plan, making it particularly difficult to propose an optimal renovation plan that reflected the user's emotions. Furthermore, in the immediacy-demanding environment of a physical store, it was difficult to make proposals that reflected the customer's emotions in real time, which was one of the factors that reduced customer satisfaction. Furthermore, there was insufficient guarantee that estimates and contract procedures were carried out quickly and transparently, which left users' concerns and questions unresolved.

[0394] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting image data of a space desired to be renovated, generation AI means for analyzing the input image data and generating a vision of the renovated space, means for obtaining estimates from multiple renovating contractors based on the generated vision of the renovated space, means for presenting the obtained estimate information to the user, means for generating an electronic contract based on the renovating plan selected by the user, means for monitoring the progress of the renovating process and notifying the user of progress information, means for recognizing the user's emotional state, and means for modifying the renovating plan based on the recognized emotion. This makes it possible to propose an optimal renovating plan that reflects the user's emotions and to make the renovating process more transparent and faster.

[0395] "Means for inputting image data of the space that the user wishes to renovate" refers to hardware or software that allows the user to upload image data of the space that the user wishes to renovate into the system.

[0396] "Generative AI means" refers to a means that uses artificial intelligence technology to analyze input image data and generate a vision of the space after renovation.

[0397] "Means for obtaining estimates" refers to software and communication technology for obtaining estimates from multiple renovation contractors based on the generated vision of the remodeled home.

[0398] The "means for presenting estimate information to the user" refers to a system including a user interface for presenting the acquired estimate information to the user in an easy-to-understand manner.

[0399] "Means for generating an electronic contract" refers to a means for automatically generating a digital contract based on the renovation plan selected by the user, and saving and submitting it in a format that can be electronically signed.

[0400] "Means for monitoring progress and notifying progress information" refers to a system for monitoring the progress of the renovation process in real time and notifying the user of progress information for each step.

[0401] "Means for recognizing the user's emotional state" refers to technology that uses sensors such as cameras and microphones to recognize the user's emotional state regarding the vision of the renovated home that they have confirmed.

[0402] "Means for modifying home improvement plans based on emotions" refers to algorithms and techniques for automatically adapting and modifying proposed home improvement plans based on recognized user emotion data.

[0403] The following describes in detail the embodiments of the present invention. The present invention is a system for realizing renovation proposals, particularly in brick-and-mortar stores, and generates renovation plans that take the user's emotions into consideration. Specific embodiments of the invention will be described based on the main components and their operations shown below.

[0404] First, the user takes an image of the space they wish to renovate using their smartphone camera, or imports an existing photo into the device. The image data is then uploaded through the device's application and sent to the server. The server analyzes this image data and generates a vision of the renovated space using a generative AI tool. This is done using prompts that reflect the user's desired style and requests. Examples of prompts are as follows:

[0405] Current layout and furniture: The walls are white and the floors are wooden. The desired renovation style is classic. The overall atmosphere is calm.

[0406] Next, the server obtains estimates from multiple remodeling contractors based on the generated vision of the remodeled home. This estimate information is sent from the server to the user's device and displayed on the user interface. Here, the user can check and compare the presented remodeling plan and estimate information.

[0407] Next, when the user checks the renovation plan, the device's camera and microphone are used to capture the user's facial expressions and voice, recognizing their emotional state in real time. The emotion engine analyzes this data and determines whether the user is satisfied or anxious. For example, if the user says, "This color seems a little too flashy," the device will recognize that the user is anxious.

[0408] The server modifies the renovation plan based on the recognized emotion data. The data provided by the emotion engine sends new prompts to the generation AI, which then generates a new vision. In this way, the optimal renovation plan that reflects the user's emotions is provided.

[0409] Finally, the server generates an electronic contract based on the renovation plan selected by the user, and the official renovation contract is concluded when the user digitally signs it.The progress of the renovation process is then monitored, and progress information is sent to the terminal each time the contractor completes a step.

[0410] This system allows users to achieve a more satisfying renovation by providing them with a renovation plan that takes their emotions into consideration. It also makes the renovation process more transparent and quicker, improving the user experience in physical stores.

[0411] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0412] Step 1:

[0413] Users take images of the space they wish to renovate on their device, or import existing photos, and upload them to the server through the device's application. The input data is in the form of an image file, and the output is image data transferred to the server.

[0414] Step 2:

[0415] The server analyzes the uploaded image data. This analysis uses image analysis software such as OpenCV to extract features such as the current floor plan, furniture placement, and wall color and material. The input is image data, and the output is analyzed structural data.

[0416] Step 3:

[0417] The server sends a prompt to the generation AI based on the analysis results to generate a vision of the remodeled home. For example, OpenAI GPT-3 is used as the generation AI, and a prompt is given to generate a text version of the vision of the remodeled home. The input is the analyzed structure data and the prompt, and the output is the text version of the vision of the remodeled home.

[0418] Step 4:

[0419] The server requests quotes from multiple renovation companies based on the generated vision of the finished house. Each company creates a quote based on the renovation details and sends it back to the server. The input is the vision text of the finished house, and the output is the quote data from each company.

[0420] Step 5:

[0421] The server organizes the acquired quotation information and sends it to the terminal through the user interface. The user can check and compare this information on the terminal. The input is quotation data, and the output is the data displayed on the user interface.

[0422] Step 6:

[0423] The device uses a camera and microphone to recognize the user's emotional state in real time as they check the vision and estimate for the renovation. The input is the user's facial expression and voice data, and the output is emotional state data.

[0424] Step 7:

[0425] The server receives the emotional state data provided by the emotion engine and modifies the renovation plan based on the emotion. It then sends a new prompt to the generation AI, which then generates a new vision of the renovation. The input is the emotional state data and the initial renovation vision, and the output is the modified renovation vision.

[0426] Step 8:

[0427] The user then rechecks the revised renovation plan and estimate information and selects the most appropriate plan. The input is the revised renovation vision and estimate data, and the output is the selected renovation plan.

[0428] Step 9:

[0429] The server generates an electronic contract based on the selected renovation plan and prompts the user to digitally sign it. Once the user digitally signs, the renovation contract is officially concluded. The input is the selected renovation plan, and the output is the electronic contract.

[0430] Step 10:

[0431] The server monitors the progress of the renovation process and notifies the user of progress information for each step. The input is renovation progress data, and the output is progress notification messages.

[0432] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0433] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0434] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0435] [Second embodiment]

[0436] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0437] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0438] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0439] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0440] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0441] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0442] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0443] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0444] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0445] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0446] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0447] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0448] The following describes in detail the embodiments of the present invention. The present invention is a system that provides an efficient and transparent renovation process based on image data of a space that is desired to be renovated. This system includes the following main components: a means for inputting image data, a generating AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, and a means for notifying progress information.

[0449] Users upload images of the space they wish to renovate.

[0450] Users upload photos of the room they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users can select the target photo and click the "Upload" button to provide the image data to the system.

[0451] The server analyzes the image data and generates a vision of the remodeled home.

[0452] The server receives the uploaded image data and sends it to a cloud-based AI generator. The AI ​​first analyzes the image data to understand the current layout, furniture placement, wall color, material, and other characteristics. It then generates a vision of the remodeled home based on the user's preferences. In doing so, the AI ​​considers styles such as modern, classic, and minimalist to propose the optimal design.

[0453] Examples:

[0454] If a user uploads a photo of their living room, the server analyzes the photo and recognizes the current furniture arrangement, wall color, floor material, etc.

[0455] As a result, the generative AI chooses a modern style and creates a revision that includes new furniture arrangements, wall paint, flooring materials, etc.

[0456] The server gets quotes from multiple renovation contractors

[0457] The server proposes renovation plans to multiple renovation companies based on the generated vision of the renovation. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database.

[0458] Examples:

[0459] The server sends the design of the renovated living room to contractors A, B, and C and obtains quotes from each.

[0460] Contractor A quotes $10,000, Contractor B quotes $12,000, and Contractor C quotes $11,000.

[0461] The terminal displays the estimate information and vision on the user interface.

[0462] The server organizes the collected estimate information and the generated vision for the renovation, and sends it to the terminal. The terminal displays this information on a user interface, allowing the user to easily compare the renovation plan and estimate.

[0463] Examples:

[0464] The device displays an image of the new living room design, along with corresponding quotes (price and item details) from three contractors.

[0465] The user selects a renovation plan and generates an electronic contract

[0466] The user compares the proposed renovation plans with the estimates and selects the plan they like best. After that, by clicking the "Select" button, the server automatically generates an electronic contract. The user digitally signs the electronic contract, and the contract is officially concluded.

[0467] Examples:

[0468] The user selects the $10,000 plan from Provider A and clicks the "Select" button.

[0469] The server automatically generates a contract and displays it on the terminal.

[0470] The user digitally signs the contract and the agreement is concluded.

[0471] The server monitors the progress of the renovation process and notifies the user of the progress.

[0472] The server monitors the progress of the renovation process, collecting real-time information as the contractor updates the progress of each step. Notifications are sent to the device according to the progress of the renovation, allowing the user to keep track of the progress of the renovation at all times.

[0473] Examples:

[0474] Update the status after the contractor finishes painting the wall.

[0475] The server receives the progress information and sends a notification to the terminal that "wall painting is complete."

[0476] The above series of processes allows users to proceed with the renovation process efficiently and transparently. By confirming the vision for the post-renovation state in advance, it is possible to avoid unexpected problems and achieve a renovation that is highly satisfactory.

[0477] The processing flow will be explained below.

[0478] Step 1:

[0479] Users take photos of the room they want to renovate and select the photos using the app on their device or the web interface. After selecting, they click the "Upload" button to send the image data to the system.

[0480] Step 2:

[0481] The device sends the image data to a server, which then stores the received image data in cloud storage and sends instructions for analysis to the generative AI system.

[0482] Step 3:

[0483] The AI ​​system on the server analyzes the image data and identifies the current room layout, furniture placement, wall color, and materials. Once the analysis is complete, it generates a vision of what the room will look like after renovation. This vision generation takes into account the selected style (modern, classic, etc.).

[0484] Step 4:

[0485] The server sends the vision of the remodeled house obtained from the generative AI to multiple remodeling contractors and requests quotes from each contractor. The request includes details of the remodeling contents (e.g., new furniture arrangement, wall painting, etc.).

[0486] Step 5:

[0487] Each contractor creates an estimate based on the received renovation plan and sends it back to the server, which collects all estimates and stores them in a database.

[0488] Step 6:

[0489] The server organizes the collected estimate information and the generated vision of the remodeled house and sends this information to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[0490] Step 7:

[0491] The user compares the displayed renovation plans with the estimates and selects the most suitable plan. After selecting, the user clicks the "Select" button, and the server generates an electronic contract based on the selected plan.

[0492] Step 8:

[0493] The user then checks the generated electronic contract on the terminal and digitally signs it, officially signing the contract with the renovation contractor.

[0494] Step 9:

[0495] The server provides a project management system to the contractor to monitor the progress of the renovation process. The contractor updates the status as each renovation step (e.g., demolition, installation, finishing, etc.) is completed.

[0496] Step 10:

[0497] The server receives real-time progress information from the contractor, collects the progress status, and sends a notification to the device each time a step is completed, informing the user of the progress of the renovation.

[0498] Example 1

[0499] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0500] The traditional renovation process requires users to communicate directly with renovation contractors, which is time-consuming and often opaque. It's also difficult for users to see the desired vision for the finished product beforehand, which can result in a less-than-satisfactory renovation. There are also few ways to monitor the progress of renovations in real time, which can leave users feeling unsatisfied. A system that can solve these issues is needed.

[0501] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0502] In this invention, the server includes: means for uploading image data of the space the user wishes to renovate from a terminal and transmitting it to the server; a generation AI means for the server to analyze the input image data and generate a vision of the renovated space; a means for obtaining estimates from multiple renovating contractors based on the generated vision of the renovated space; a means for presenting the obtained estimate information on a user interface; a means for generating an electronic contract based on the renovating plan selected by the user; and a means for monitoring the progress of the renovating process and notifying the user of progress information. This allows the user to proceed with the renovating process efficiently and transparently, confirm the vision of the renovated space in advance, and achieve a renovating experience that is highly satisfying. Furthermore, the ability to grasp the progress of the renovating process in real time alleviates anxiety.

[0503] A "user" is an individual or entity that operates a control device or computer system to perform a particular operation.

[0504] A "terminal" is a device operated by a user, and is an electronic device including a smartphone, tablet, PC, etc.

[0505] A "server" is a central control unit that receives and processes requests over a network.

[0506] "Image data" is data containing visual information stored in digital form.

[0507] "Generative AI" is an artificial intelligence technology that analyzes input data and generates new data.

[0508] The "vision after renovation" is a visual image that specifically expresses the appearance and design of the space after renovation.

[0509] A "renovation contractor" is a professional or company that specializes in renovation work.

[0510] "Quote" means a document setting out the prices and terms for specific services or goods.

[0511] The "user interface" is the part that provides the screen and operation method for the user to interact with the system.

[0512] An "electronic contract" is a contract document created in digital format that becomes legally binding when signed digitally.

[0513] "Progress information" is data that indicates the progress of a project or task.

[0514] A "notification" is a message that notifies the user of a particular event or update.

[0515] The present invention provides a system for providing an efficient and transparent renovation process based on image data of a space that is desired to be renovated. Specific embodiments will be described below.

[0516] Users upload images of the space they wish to renovate

[0517] Users upload image data of the space they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users select an image of the space to be renovated and click the "upload" button to send the image data to the server. As a specific example, a user might take a photo of their living room with their smartphone and upload it through the app.

[0518] The server analyzes the image data and generates a vision of the remodeled home.

[0519] The server receives the uploaded image data and sends it to a generating AI on the cloud. The generating AI first analyzes the image data to understand characteristics such as the space's layout, furniture placement, and wall color and materials. It then generates a vision of the remodeled space based on the user's desired remodeling style (e.g., modern, classic, minimalist, etc.). The generating AI model uses the latest deep learning technology. For example, a user may select a "modern style," and the generating AI may propose a design that matches that.

[0520] The server gets quotes from multiple renovation contractors

[0521] Based on the generated vision of the remodel, the server proposes renovation plans to multiple remodeling companies. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database. For example, the server may send proposals to companies A, B, and C, and they may return estimates of $10,000, $12,000, and $11,000, respectively.

[0522] The terminal displays the estimate information and vision on the user interface.

[0523] The server organizes the collected estimate information and the generated vision for the remodeled home, and sends it to the device. The device then displays this information on a user interface, allowing the user to easily compare the remodeling plan and estimates. For example, a device screen might display a design image of a new living room alongside three corresponding estimates (prices and item details).

[0524] The user selects a renovation plan and generates an electronic contract

[0525] The user compares the proposed renovation plans with the estimates and selects the plan they like best. After that, when they click the "Select" button, the server automatically generates an electronic contract and displays it on the terminal. The user digitally signs the electronic contract, and the contract is officially concluded. As a specific example, the user selects Contractor A's $10,000 plan, clicks the "Select" button, and the server generates a contract and displays it on the terminal.

[0526] The server monitors the progress of the renovation process and notifies the user of the progress.

[0527] The server monitors the progress of the entire renovation process and collects information in real time as the renovation contractor updates the progress of each step. Depending on the progress of the renovation, the server sends notifications to the device. This allows the user to always know the progress of the renovation. For example, after the renovation contractor finishes painting the wall, the server updates the status and sends a notification to the device saying "Wall painting completed."

[0528] This allows users to proceed with the renovation process efficiently and transparently. By checking the vision for the finished product in advance, it is possible to avoid unexpected problems and achieve a highly satisfying renovation. In addition, by knowing the progress of the renovation in real time, users can eliminate anxiety and proceed with the renovation with peace of mind.

[0529] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0530] Step 1:

[0531] The user uploads image data of the space they wish to renovate.

[0532] Specifically, a user opens the app or web interface on their smartphone or PC, presses the "Upload" button, selects an image file (for example, "living_room.jpg"), and clicks the "Send" button.

[0533] Input: Image data of the living room

[0534] Output: Image data is sent from the device to the server

[0535] Step 2:

[0536] The server receives the image data and sends it to the generation AI on the cloud.

[0537] Specifically, the server transfers the received "living_room.jpg" to the generation AI, which analyzes the image data to determine the layout, furniture placement, wall color and materials, and extracts their characteristics.

[0538] Input: Image data of the living room

[0539] Output: Image data characteristics information

[0540] Step 3:

[0541] The server generates characteristic information and creates a vision for the post-renovation period based on AI.

[0542] Specifically, the generation AI uses the analyzed characteristic information to generate a post-renovation design based on the user's desired renovation style (for example, "modern style") and creates a vision.

[0543] Input: Image data characteristics information and the user's desired renovation style

[0544] Output: Vision after renovation (visual image)

[0545] Step 4:

[0546] Based on the vision of the remodeled home that the server has generated, it requests estimates from multiple remodeling companies.

[0547] Specifically, the server sends the generated vision to vendors A, B, and C and receives quotes from each. For example, the quote from vendor A is $10,000, from vendor B is $12,000, and from vendor C is $11,000.

[0548] Input: Vision after renovation

[0549] Output: Estimate information from each renovation contractor

[0550] Step 5:

[0551] The server sends the collected estimate information and the generated vision to the terminal.

[0552] Specifically, the server sends the design image of the new living room and three estimates to the device, which then displays this information on the user interface, allowing the user to easily compare the renovation plans and estimates.

[0553] Input: Estimate information and vision after renovation

[0554] Output: Vision and estimate information for the renovation displayed on the user interface

[0555] Step 6:

[0556] The user selects a renovation plan and generates an electronic contract.

[0557] Specifically, when the user selects Provider A's $10,000 plan and clicks the "Select" button, the server automatically generates an electronic contract and displays it on the terminal. Once the user digitally signs the contract, the contract is officially concluded.

[0558] Input: Selected renovation plan

[0559] Output: Generated e-contract and digitally signed contract

[0560] Step 7:

[0561] The server monitors the progress of the renovation process and notifies the user of the progress.

[0562] Specifically, the renovation contractor updates the progress of each process to the server, which collects the information in real time. The server then sends notifications to the device according to the progress. For example, a notification saying "Wall painting completed" is displayed on the device.

[0563] Input: Progress information from the renovation contractor

[0564] Output: Progress notification to user terminal

[0565] This allows users to navigate the renovation process efficiently and transparently.

[0566] (Application example 1)

[0567] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0568] The conventional renovation process required users to contact multiple renovation contractors and compare quotes, which was time-consuming, and it was difficult to see the vision of the finished product in advance. Furthermore, the progress of the renovation process was unclear, which led to the possibility of unexpected problems occurring. Furthermore, in terms of physical security, it was difficult to detect suspicious individuals or abnormal behavior, making it difficult to ensure an environment in which renovations could be carried out with peace of mind.

[0569] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0570] In this invention, the server includes means for inputting image data of a space to be renovated, a generation AI means for analyzing the input image data and generating a vision of the renovated space, a means for obtaining estimates from multiple renovating companies based on the generated vision of the renovated space, a means for presenting the obtained estimate information to the user, a means for generating an electronic contract based on a renovating plan selected by the user, a means for monitoring the progress of the renovating process and notifying the user of progress information, a means for analyzing surveillance camera footage and detecting anomalies, and a means for issuing an alert when an anomaly is detected. This allows the user to proceed with the renovating process efficiently, ensures transparency, and strengthens physical security during the renovating process.

[0571] The "means for inputting image data of the space to be remodeled" is an interface that allows the user to import images of the room or space that the user wishes to remodel into the system.

[0572] The "generative AI means for analyzing input image data and generating a vision of the post-renovation state" is an artificial intelligence system that analyzes image data uploaded by users and predicts and suggests the state of the property after renovation.

[0573] "Means of obtaining estimates from multiple renovation contractors based on the generated vision of the remodeled home" refers to the process of requesting estimates from multiple renovation contractors based on the remodeling plan created by the generation AI.

[0574] The "means for presenting the acquired quotation information to the user" is an interface for visually displaying the collected quotation information to the user.

[0575] The "means for generating an electronic contract based on a renovation plan selected by a user" is a system that electronically generates a formal contract document based on a renovation plan selected by a user.

[0576] "Means for monitoring the progress of the renovation process and notifying the user of progress information" is a function that tracks the stage of the renovation work in real time and notifies the user of that information.

[0577] "Means for analyzing surveillance camera footage and detecting abnormalities" refers to a system that analyzes video data obtained from surveillance cameras and detects unusual movements or suspicious behavior.

[0578] "Means for issuing a warning when an abnormality is detected" is a function that immediately sends a warning to users and related organizations when an abnormality is detected through analysis.

[0579] The following is a detailed description of an embodiment of the present invention. This invention is a system that provides an efficient and transparent renovation process based on image data of a space to be renovated, and further includes a function that analyzes surveillance camera footage to detect abnormalities and issue warnings. This system mainly includes the following components: a means for inputting image data, a generation AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, a means for notifying progress information, a means for analyzing surveillance camera footage, and a means for issuing warnings.

[0580] A means of inputting image data

[0581] Users upload photos of the room they want to renovate to the system from their device (smartphone, tablet, PC, etc.) using a dedicated app or web interface.

[0582] Generation AI means

[0583] The server sends the image data uploaded by the user to the AI ​​generator, which analyzes the current floor plan, furniture placement, wall color and materials, etc. It then generates a vision of the remodeled home based on the user's preferences. This AI generator then proposes the optimal design, taking into account styles such as modern, classic, and minimalist.

[0584] How to get and provide quotes

[0585] Based on the generated vision of the remodeled house, the server proposes the remodeling contents to multiple remodeling companies and obtains estimates from each company. The estimate information is stored in a database, and the collected estimate information and the generated vision of the remodeled house are displayed on the user interface. The user can compare the proposed remodeling plan with the estimates.

[0586] A means of generating electronic contracts

[0587] The user compares the proposed renovation plan with the estimate, and the server automatically generates an electronic contract based on the plan they select. The user then digitally signs the electronic contract, officially concluding the contract.

[0588] A means of communicating progress information

[0589] The server monitors the progress of the renovation process, collecting real-time progress information as the contractor completes each step, and then sends notifications to the device, allowing the user to stay informed of the progress of the renovation.

[0590] Means of analyzing surveillance camera footage and issuing warnings

[0591] The server analyzes surveillance camera footage in real time. The main technologies and software used include OpenCV (video data processing) and Keras (generative AI model inference). The system acquires video data from surveillance cameras and performs image analysis to detect suspicious individuals or abnormal behavior. If an abnormality is detected, the server immediately sends an alert to the user or relevant authorities. For example, if a suspicious individual is detected in the middle of the night on surveillance camera footage from a home's living room, the server analyzes the image data and issues an alert.

[0592] Example prompt: "Detect suspicious individuals from this video data."

[0593] This series of processes allows users to efficiently navigate the renovation process at hand, ensures transparency, and also enhances physical security during the renovation.

[0594] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0595] Step 1:

[0596] The user uploads image data of the space they wish to renovate from their terminal.

[0597] Input: A photo of the room taken by the user.

[0598] What happens: The user uses the app on their device or the web interface to select the photo they want to upload and clicks the "Upload" button.

[0599] Output: Image data is sent to the server and saved.

[0600] Step 2:

[0601] The server analyzes the image data and generates a vision of the post-renovation look.

[0602] Input: Uploaded image data.

[0603] How it works: The server sends image data to a cloud-based generative AI model, which analyzes characteristics such as the floor plan, furniture placement, and wall color and materials. The generative AI then generates a vision for the remodel based on the user's preferences, taking into account styles such as modern, classic, and minimalist.

[0604] Output: Design images containing the vision of the remodeled space according to the user's wishes.

[0605] Step 3:

[0606] The server obtains estimates from multiple renovation companies based on the generated vision of the remodeled house.

[0607] Input: Generated vision of the remodeled area.

[0608] Specific operation: The server sends the renovation vision to multiple renovation contractors and requests estimates based on the renovation contents.

[0609] Output: Estimate information from each renovation contractor.

[0610] Step 4:

[0611] The terminal displays estimate information and a vision for the remodeled home on a user interface.

[0612] Input: The estimate information obtained and the generated vision for the remodel.

[0613] Specific operation: The server organizes the estimate information and design images and sends them to the terminal. The estimate information (price and item details) and the renovation vision are displayed on the user interface.

[0614] Output: The estimate information and vision of the remodel presented to the user.

[0615] Step 5:

[0616] The user selects a renovation plan and generates an electronic contract.

[0617] Input: User selected renovation plan.

[0618] Specific operation: The user selects the plan they like from the presented plans and clicks the "Select" button, which causes the server to automatically generate an electronic contract.

[0619] Output: An automatically generated electronic contract, and the user's digital signature.

[0620] Step 6:

[0621] The server monitors the progress of the renovation process and notifies the user of the progress.

[0622] Input: Progress data for the renovation process.

[0623] What it does: Monitors progress and updates the status as the contractor completes each step. Collects real-time progress updates and sends them to the device.

[0624] Output: Progress information sent to the user's device in real time.

[0625] Step 7:

[0626] The server analyzes surveillance camera footage and detects abnormalities.

[0627] Input: Security camera footage.

[0628] How it works: The server receives video data from surveillance cameras in real time and analyzes the footage using OpenCV. A generative AI model using Keras detects suspicious individuals and abnormal behavior.

[0629] Output: Information about detected anomalies.

[0630] Step 8:

[0631] The server issues an alert when it detects an abnormality.

[0632] Input: Anomaly detection information.

[0633] Specific behavior: If an anomaly is detected, the server will use an alert notification system such as Twilio to send an alert to the user or relevant authorities.

[0634] Output: A warning message.

[0635] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0636] The following describes in detail the embodiments of the present invention. The present invention is a system that provides an efficient and transparent renovation process based on image data of a space to be renovated, and further combines it with an emotion engine that recognizes the user's emotions and reflects them in the renovation plan. This system includes the following main components: a means for inputting image data, a generation AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, a means for notifying progress information, and an emotion engine that recognizes the user's emotions.

[0637] Users upload images of the space they wish to renovate.

[0638] Users upload photos of the room they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users can select the target photo and click the "Upload" button to provide the image data to the system.

[0639] The server analyzes the image data and generates a vision of the remodeled home.

[0640] The server receives the uploaded image data and sends it to a cloud-based AI generator. The AI ​​first analyzes the image data to identify the current floor plan, furniture placement, wall color and materials, etc. It then generates a vision for the remodel based on the user's preferences. In doing so, the AI ​​considers styles such as modern, classic, and minimalist to propose the optimal design.

[0641] Examples:

[0642] If a user uploads a photo of their living room, the server analyzes the photo and recognizes the current furniture arrangement, wall color, floor material, etc.

[0643] As a result, the generative AI chooses a modern style and creates a revision that includes new furniture arrangements, wall paint, flooring materials, etc.

[0644] The server gets quotes from multiple renovation contractors

[0645] The server proposes renovation plans to multiple renovation companies based on the generated vision of the renovation. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database.

[0646] Examples:

[0647] The server sends the design of the renovated living room to contractors A, B, and C and obtains quotes from each.

[0648] Contractor A quotes $10,000, Contractor B quotes $12,000, and Contractor C quotes $11,000.

[0649] The terminal displays the estimate information and vision on the user interface.

[0650] The server organizes the collected estimate information and the generated vision of the remodeled house and sends it to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[0651] Examples:

[0652] The device displays an image of the new living room design, along with corresponding quotes (price and item details) from three contractors.

[0653] Recognizing the user's emotional state

[0654] As the user checks the vision for the remodeled home, the device uses emotion recognition sensors such as cameras and microphones to detect the user's emotions in real time, and the emotion engine then determines whether the user is satisfied or anxious.

[0655] Examples:

[0656] If a user looks at the living room design presented and says, "I'd prefer something a little simpler in color than this," the device will determine from the user's voice and facial expression that they are feeling anxious.

[0657] The server modifies the renovation plan based on the user's emotions.

[0658] The server receives the emotion data provided by the emotion engine and automatically modifies the renovation plan based on the user's emotions. For example, if the user feels anxious, the server instructs the generation AI to change the suggested color palette or furniture arrangement.

[0659] Examples:

[0660] The server receives the user's emotional data and instructs the AI ​​to re-optimize the living room design, resulting in a new design with altered color tones.

[0661] The user checks and selects the new renovation plan.

[0662] The terminal displays the revised renovation plan and estimate information on the user interface again, allowing the user to compare and select. The user can check the plans and select the most suitable plan once they are satisfied.

[0663] The server generates electronic contracts and monitors the renovation process.

[0664] The server generates an electronic contract based on the renovation plan selected by the user, and once the user digitally signs it, the renovation contract is officially concluded.The server then monitors the progress of the renovation process and notifies the terminal of progress information each time the contractor completes each step.

[0665] Examples:

[0666] The server receives the progress information and notifies the terminal of the status, such as "Painting of the wall is complete."

[0667] This system allows users to achieve a more satisfying renovation by providing them with a renovation plan that takes their emotions into consideration.

[0668] The processing flow will be explained below.

[0669] Step 1:

[0670] Users take photos of the room they want to renovate and select the photos using the app on their device or the web interface. After selecting, they click the "Upload" button to send the image data to the system.

[0671] Step 2:

[0672] The device sends the image data to a server, which then stores the received image data in cloud storage and sends instructions for analysis to the generative AI system.

[0673] Step 3:

[0674] The AI ​​system on the server analyzes the image data and identifies the current room layout, furniture placement, wall color, and materials. Once the analysis is complete, it generates a vision of what the room will look like after renovation. This vision generation takes into account the style selected by the user (modern, classic, etc.).

[0675] Step 4:

[0676] The server sends the vision of the remodeled house obtained from the generative AI to multiple remodeling contractors and requests quotes from each contractor. The request includes details of the remodeling contents (e.g., new furniture arrangement, wall painting, etc.).

[0677] Step 5:

[0678] Each contractor creates an estimate based on the received renovation plan and sends it back to the server, which collects all estimates and stores them in a database.

[0679] Step 6:

[0680] The server organizes the collected estimate information and the generated vision of the remodeled house and sends this information to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[0681] Step 7:

[0682] As the user checks the vision for the remodeled home, the device uses emotion recognition sensors such as cameras and microphones to detect the user's emotions in real time, and the emotion engine then determines whether the user is satisfied or anxious.

[0683] Step 8:

[0684] The server receives the emotion data provided by the emotion engine and automatically modifies the renovation plan based on the user's emotions. For example, if the user feels anxious, the server instructs the generation AI to change the suggested color palette or furniture arrangement.

[0685] Step 9:

[0686] The server sends the revised renovation plan to the terminal again, and the terminal displays the new renovation plan and estimate information on the user interface, allowing the user to compare and select again.

[0687] Step 10:

[0688] The user compares the displayed renovation plans with the estimates and selects the most suitable plan. After selecting, the user clicks the "Select" button, and the server generates an electronic contract based on the selected plan.

[0689] Step 11:

[0690] The user then checks the generated electronic contract on the terminal and digitally signs it, officially signing the contract with the renovation contractor.

[0691] Step 12:

[0692] The server provides a project management system to the contractor to monitor the progress of the renovation process. The contractor updates the status as each renovation step (e.g., demolition, installation, finishing, etc.) is completed.

[0693] Step 13:

[0694] The server receives real-time progress information from the contractor, collects the progress status, and sends a notification to the device each time a step is completed, informing the user of the progress of the renovation.

[0695] Example 2

[0696] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0697] In conventional renovation processes, users have to spend a lot of time and effort to come up with a concrete renovation plan. Furthermore, the plan does not take into account the user's emotional changes, resulting in low satisfaction with the final renovation results. Furthermore, obtaining and comparing quotes from renovation contractors is cumbersome, resulting in a lack of efficiency in the entire process. A system that can solve these issues and improve user satisfaction is needed.

[0698] The specification processing by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting image data of a space desired to be renovated, generation AI means for analyzing the input image data and generating a vision of the renovated space, means for obtaining estimates from multiple renovating companies based on the generated vision of the renovated space, means for presenting the obtained estimate information to the user, emotion engine means for recognizing the user's emotional state and revising the renovating plan, means for presenting the revised renovating plan to the user and allowing the user to select it, means for generating an electronic contract based on the renovating plan selected by the user, and means for monitoring the progress of the renovating process and notifying the user of progress information. This enables an efficient and transparent renovating process that takes the user's emotions into consideration.

[0699] "Means for inputting image data of the space you wish to renovate" refers to a method and device that allows a user to use a terminal (smartphone, tablet, PC, etc.) to upload images of the room you wish to renovate to the system.

[0700] "Generative AI means" refers to artificial intelligence technology and related devices that analyze uploaded image data, identify the current floor plan, furniture placement, wall color and material, etc., and then generate a vision of the renovated home based on the user's wishes.

[0701] "Means for obtaining estimates" refers to a method and device for presenting the renovation details to multiple renovation contractors based on the generated vision of the renovation and obtaining estimates from each contractor.

[0702] "Means for presenting acquired estimate information to the user" refers to a method and device for organizing the estimate information acquired from each renovation contractor and displaying it on a user interface so that the user can check it.

[0703] "Emotion engine means" refers to technology and related devices that recognize the user's emotional state (e.g., satisfaction, anxiety, etc.) in real time when the user confirms the vision for the remodeling, and adjusts the remodeling plan based on that information.

[0704] The "means for generating an electronic contract" refers to a system and method for automatically generating an electronic contract based on a renovation plan selected by a user and for the user to digitally sign it.

[0705] "Means for monitoring the progress of the renovation process and notifying the user of progress information" refers to a method and apparatus for monitoring the progress of the renovation in real time and notifying the user of the progress as each process is completed.

[0706] The present invention is a system for efficiently and transparently carrying out the renovation process, and is capable of consistently performing everything from inputting image data to obtaining estimates, presenting renovation plans, and generating contracts. The present invention also incorporates an emotion engine that can recognize the user's emotions in real time and reflect them in the renovation plan. The specific hardware and software configurations and processing procedures for this system are described in detail below.

[0707] The system consists of a terminal for users to input image data of the room they wish to renovate, a generation AI that analyzes and generates the data, a server for obtaining estimate information, a terminal that provides a user interface, an emotion engine that recognizes the user's emotions, and a software module for generating electronic contracts.

[0708] Hardware and software configuration

[0709] 1. Device:

[0710] Internet-connected devices such as smartphones, tablets, and PCs.

[0711] These devices have built-in cameras and microphones, and are capable of capturing image data and collecting audio data.

[0712] 2. Server:

[0713] Use computing resources built on cloud infrastructure.

[0714] Hosts generative AI models and performs data analysis and generation processing on the cloud.

[0715] 3. Generation AI:

[0716] AI model using machine learning algorithms.

[0717] It combines image processing techniques (e.g., computer vision) and natural language processing techniques to generate a vision of what the renovation will look like.

[0718] 4. Emotion Engine:

[0719] It uses voice and facial expression recognition technology to analyze the user's emotions in real time.

[0720] Based on the analysis results, feedback is sent to the generating AI, which then adjusts the renovation plan.

[0721] 5. Software Module:

[0722] Software for integrated management of the entire system.

[0723] Generates electronic contracts and notifies progress information.

[0724] Detailed procedure

[0725] 1. User image data upload:

[0726] Users use an application on their smartphone or PC to take pictures of the room they want to renovate and upload them to the system.

[0727] The device sends the uploaded images to a server on the cloud.

[0728] 2. Image data analysis and post-renovation vision generation:

[0729] The server sends the received image data to the generative AI model.

[0730] The generative AI model analyzes images to identify the current floor plan, furniture placement, wall color, etc., and generates a vision of what the home will look like after renovation.

[0731] The generative AI model takes into account a specified style (e.g., modern, classic, minimalist, etc.) and suggests the best design.

[0732] Examples:

[0733] When a user uploads a photo of their living room to the system, the server sends the photo to a generative AI model.

[0734] A generative AI model analyzes photos and generates modern living room designs.

[0735] Example prompt sentence:

[0736] "User has uploaded a picture of their living room and expressed a preference for a minimalist style. Analyze the current room layout and provide a new room design that features minimalist elements."

[0737] 3. Obtaining and Presenting Quotes:

[0738] Based on the generated vision of the remodeled home, the server proposes remodeling plans to multiple remodeling contractors and obtains estimates.

[0739] The acquired quotation data is organized and presented to the user through a user interface.

[0740] The user compares the displayed quote information and selects the appropriate plan.

[0741] Examples:

[0742] The server sends a request for quotation to three vendors (A, B, and C) and receives a quotation from each.

[0743] The server organizes the quote information and sends it to the terminal.

[0744] The terminal displays quote information on the user interface, allowing the user to compare and consider options.

[0745] 4. Emotional engine regulation:

[0746] The device uses a camera and microphone to recognize the user's emotional state in real time as they check the vision for the renovated home.

[0747] The emotion engine analyzes the user's emotions from their facial expressions and voice and sends that information to the server.

[0748] Based on the emotional data, the server instructs the generating AI to adjust the renovation plan.

[0749] Examples:

[0750] If the user shows an anxious expression and says, "I want it to be a little simpler," the device collects that emotional data.

[0751] The server issues new instructions to the generation AI and regenerates the renovation plan based on the emotion data.

[0752] 5. Electronic contract generation and progress notification:

[0753] The server generates an electronic contract based on the renovation plan selected by the user and prompts the user to digitally sign it.

[0754] Once the renovation process begins, the server monitors progress information in real time and notifies the user's terminal of the completion information for each process.

[0755] This allows users to use the optimal renovation plan that takes their feelings into consideration and experience an efficient and transparent renovation process.

[0756] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0757] Step 1:

[0758] Users upload images of the room they wish to renovate from their device to the system. They use the app on their device or the web interface to select the desired photo and click the "Upload" button. The input is the image file of the room taken by the user. The device then sends this image file to a server on the cloud. The output is the image data received by the server.

[0759] Specific behavior:

[0760] A user uploads a photo of their living room using a smartphone app.

[0761] The device sends the photo data to the server.

[0762] Step 2:

[0763] The server sends the received image data to the generative AI model. The input at this time is the image data sent to the server in step 1. The generative AI model analyzes the image and identifies the floor plan, furniture placement, decorative elements, etc. The results of this analysis become the output of the generative AI model.

[0764] Specific behavior:

[0765] The server sends image data from the living room to the generative AI model.

[0766] The generative AI model analyzes the image and recognizes the current furniture arrangement and room layout.

[0767] Step 3:

[0768] The generative AI model generates a vision of the remodeled home based on the analysis results and the user's desired style. The inputs are the image analysis results and the user's desired style (e.g., modern, classic). The output is the design details of the remodeled home.

[0769] Specific behavior:

[0770] A generative AI model generates a new design for a living room based on the user's "modern style" preferences.

[0771] The generated vision is stored on the cloud.

[0772] Step 4:

[0773] Based on the generated vision of the remodeled house, the server proposes the remodeling contents to multiple remodeling companies and obtains estimates. The input is the generated vision of the remodeled house, and the output is the estimate data returned by each company. The server stores these estimates in a database.

[0774] Specific behavior:

[0775] The server sends the vision for the remodeled house to contractors A, B, and C.

[0776] The server receives quotes from Vendor A for $10,000, Vendor B for $12,000, and Vendor C for $11,000.

[0777] The obtained quotation information is saved in the database.

[0778] Step 5:

[0779] The server organizes the collected estimate information and the generated vision of the remodeled house and sends it to the terminal. The input is the saved estimate information and the vision of the remodeled house, and the output is the information displayed on the user interface. The terminal displays this information, allowing the user to compare the estimate and the vision of the remodeled house.

[0780] Specific behavior:

[0781] The server organizes the estimate information and renovation vision and sends them to the terminal.

[0782] The terminal displays this information on the user interface.

[0783] Step 6:

[0784] When the user checks the vision of the renovation, the device detects the user's emotions in real time using emotion recognition sensors such as cameras and microphones. The input is the user's facial expression data and voice data, which the emotion engine analyzes and outputs as the user's emotional state.

[0785] Specific behavior:

[0786] While looking at the living room design presented to the user, the user says, "I'd prefer something a little simpler in color than this."

[0787] The device recognizes the user's emotions from their voice and facial expressions, and the emotion engine analyzes them.

[0788] Step 7:

[0789] The server receives the emotion data from the emotion engine and automatically modifies the renovation plan based on the user's emotion. The inputs are the emotion data from the emotion engine and the original renovation vision, and the modified renovation plan is output.

[0790] Specific behavior:

[0791] The server receives the emotion data and issues instructions to the generating AI again.

[0792] A generative AI model generates a new renovation plan with adjusted color tones.

[0793] Step 8:

[0794] The terminal displays the revised renovation plan and estimate information again on the user interface, allowing the user to compare and select. The input is the revised renovation plan and estimate information, and the output is screen information that the user can check. The user checks the plans and selects the most suitable one.

[0795] Specific behavior:

[0796] The terminal displays the revised renovation plan and estimate information on the user interface.

[0797] The user reviews the plans and chooses the one that best suits them.

[0798] Step 9:

[0799] The server generates an electronic contract based on the renovation plan selected by the user and prompts the user to sign it digitally. The input is the selected renovation plan and the user's digital signature information, and the output is a formal renovation contract. The server then monitors the renovation process and notifies the terminal of progress information.

[0800] Specific behavior:

[0801] The server generates the electronic contract.

[0802] The user digitally signs the document and the contract is concluded.

[0803] The server monitors the progress of the renovation and notifies the terminal of the completion information for each process.

[0804] The above-described processing flow allows the user to efficiently and transparently create an optimal renovation plan that reflects their own feelings.

[0805] (Application example 2)

[0806] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0807] In the conventional renovation process, there was a lack of means to confirm whether the user was satisfied with the proposed plan, making it particularly difficult to propose an optimal renovation plan that reflected the user's emotions. Furthermore, in the immediacy-demanding environment of a physical store, it was difficult to make proposals that reflected the customer's emotions in real time, which was one of the factors that reduced customer satisfaction. Furthermore, there was insufficient guarantee that estimates and contract procedures were carried out quickly and transparently, which left users' concerns and questions unresolved.

[0808] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting image data of a space desired to be renovated, generation AI means for analyzing the input image data and generating a vision of the renovated space, means for obtaining estimates from multiple renovating contractors based on the generated vision of the renovated space, means for presenting the obtained estimate information to the user, means for generating an electronic contract based on the renovating plan selected by the user, means for monitoring the progress of the renovating process and notifying the user of progress information, means for recognizing the user's emotional state, and means for modifying the renovating plan based on the recognized emotion. This makes it possible to propose an optimal renovating plan that reflects the user's emotions and to make the renovating process more transparent and faster.

[0809] "Means for inputting image data of the space that the user wishes to renovate" refers to hardware or software that allows the user to upload image data of the space that the user wishes to renovate into the system.

[0810] "Generative AI means" refers to a means that uses artificial intelligence technology to analyze input image data and generate a vision of the space after renovation.

[0811] "Means for obtaining estimates" refers to software and communication technology for obtaining estimates from multiple renovation contractors based on the generated vision of the remodeled home.

[0812] The "means for presenting estimate information to the user" refers to a system including a user interface for presenting the acquired estimate information to the user in an easy-to-understand manner.

[0813] "Means for generating an electronic contract" refers to a means for automatically generating a digital contract based on the renovation plan selected by the user, and saving and submitting it in a format that can be electronically signed.

[0814] "Means for monitoring progress and notifying progress information" refers to a system for monitoring the progress of the renovation process in real time and notifying the user of progress information for each step.

[0815] "Means for recognizing the user's emotional state" refers to technology that uses sensors such as cameras and microphones to recognize the user's emotional state regarding the vision of the renovated home that they have confirmed.

[0816] "Means for modifying home improvement plans based on emotions" refers to algorithms and techniques for automatically adapting and modifying proposed home improvement plans based on recognized user emotion data.

[0817] The following describes in detail the embodiments of the present invention. The present invention is a system for realizing renovation proposals, particularly in brick-and-mortar stores, and generates renovation plans that take the user's emotions into consideration. Specific embodiments of the invention will be described based on the main components and their operations shown below.

[0818] First, the user takes an image of the space they wish to renovate using their smartphone camera, or imports an existing photo into the device. The image data is then uploaded through the device's application and sent to the server. The server analyzes this image data and generates a vision of the renovated space using a generative AI tool. This is done using prompts that reflect the user's desired style and requests. Examples of prompts are as follows:

[0819] Current layout and furniture: The walls are white and the floors are wooden. The desired renovation style is classic. The overall atmosphere is calm.

[0820] Next, the server obtains estimates from multiple remodeling contractors based on the generated vision of the remodeled home. This estimate information is sent from the server to the user's device and displayed on the user interface. Here, the user can check and compare the presented remodeling plan and estimate information.

[0821] Next, when the user checks the renovation plan, the device's camera and microphone are used to capture the user's facial expressions and voice, recognizing their emotional state in real time. The emotion engine analyzes this data and determines whether the user is satisfied or anxious. For example, if the user says, "This color seems a little too flashy," the device will recognize that the user is anxious.

[0822] The server modifies the renovation plan based on the recognized emotion data. The data provided by the emotion engine sends new prompts to the generation AI, which then generates a new vision. In this way, the optimal renovation plan that reflects the user's emotions is provided.

[0823] Finally, the server generates an electronic contract based on the renovation plan selected by the user, and the official renovation contract is concluded when the user digitally signs it.The progress of the renovation process is then monitored, and progress information is sent to the terminal each time the contractor completes a step.

[0824] This system allows users to achieve a more satisfying renovation by providing them with a renovation plan that takes their emotions into consideration. It also makes the renovation process more transparent and quicker, improving the user experience in physical stores.

[0825] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0826] Step 1:

[0827] Users take images of the space they wish to renovate on their device, or import existing photos, and upload them to the server through the device's application. The input data is in the form of an image file, and the output is image data transferred to the server.

[0828] Step 2:

[0829] The server analyzes the uploaded image data. This analysis uses image analysis software such as OpenCV to extract features such as the current floor plan, furniture placement, and wall color and material. The input is image data, and the output is analyzed structural data.

[0830] Step 3:

[0831] The server sends a prompt to the generation AI based on the analysis results to generate a vision of the remodeled home. For example, OpenAI GPT-3 is used as the generation AI, and a prompt is given to generate a text version of the vision of the remodeled home. The input is the analyzed structure data and the prompt, and the output is the text version of the vision of the remodeled home.

[0832] Step 4:

[0833] The server requests quotes from multiple renovation companies based on the generated vision of the finished house. Each company creates a quote based on the renovation details and sends it back to the server. The input is the vision text of the finished house, and the output is the quote data from each company.

[0834] Step 5:

[0835] The server organizes the acquired quotation information and sends it to the terminal through the user interface. The user can check and compare this information on the terminal. The input is quotation data, and the output is the data displayed on the user interface.

[0836] Step 6:

[0837] The device uses a camera and microphone to recognize the user's emotional state in real time as they check the vision and estimate for the renovation. The input is the user's facial expression and voice data, and the output is emotional state data.

[0838] Step 7:

[0839] The server receives the emotional state data provided by the emotion engine and modifies the renovation plan based on the emotion. It then sends a new prompt to the generation AI, which then generates a new vision of the renovation. The input is the emotional state data and the initial renovation vision, and the output is the modified renovation vision.

[0840] Step 8:

[0841] The user then rechecks the revised renovation plan and estimate information and selects the most appropriate plan. The input is the revised renovation vision and estimate data, and the output is the selected renovation plan.

[0842] Step 9:

[0843] The server generates an electronic contract based on the selected renovation plan and prompts the user to digitally sign it. Once the user digitally signs, the renovation contract is officially concluded. The input is the selected renovation plan, and the output is the electronic contract.

[0844] Step 10:

[0845] The server monitors the progress of the renovation process and notifies the user of progress information for each step. The input is renovation progress data, and the output is progress notification messages.

[0846] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0847] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0848] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0849] [Third embodiment]

[0850] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0851] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0852] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0853] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0854] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0855] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0856] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0857] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0858] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0859] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0860] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0861] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0862] The following describes in detail the embodiments of the present invention. The present invention is a system that provides an efficient and transparent renovation process based on image data of a space that is desired to be renovated. This system includes the following main components: a means for inputting image data, a generating AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, and a means for notifying progress information.

[0863] Users upload images of the space they wish to renovate.

[0864] Users upload photos of the room they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users can select the target photo and click the "Upload" button to provide the image data to the system.

[0865] The server analyzes the image data and generates a vision of the remodeled home.

[0866] The server receives the uploaded image data and sends it to a cloud-based AI generator. The AI ​​first analyzes the image data to understand the current layout, furniture placement, wall color, material, and other characteristics. It then generates a vision of the remodeled home based on the user's preferences. In doing so, the AI ​​considers styles such as modern, classic, and minimalist to propose the optimal design.

[0867] Examples:

[0868] If a user uploads a photo of their living room, the server analyzes the photo and recognizes the current furniture arrangement, wall color, floor material, etc.

[0869] As a result, the generative AI chooses a modern style and creates a revision that includes new furniture arrangements, wall paint, flooring materials, etc.

[0870] The server gets quotes from multiple renovation contractors

[0871] The server proposes renovation plans to multiple renovation companies based on the generated vision of the renovation. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database.

[0872] Examples:

[0873] The server sends the design of the renovated living room to contractors A, B, and C and obtains quotes from each.

[0874] Contractor A quotes $10,000, Contractor B quotes $12,000, and Contractor C quotes $11,000.

[0875] The terminal displays the estimate information and vision on the user interface.

[0876] The server organizes the collected estimate information and the generated vision for the renovation, and sends it to the terminal. The terminal displays this information on a user interface, allowing the user to easily compare the renovation plan and estimate.

[0877] Examples:

[0878] The device displays an image of the new living room design, along with corresponding quotes (price and item details) from three contractors.

[0879] The user selects a renovation plan and generates an electronic contract

[0880] The user compares the proposed renovation plans with the estimates and selects the plan they like best. After that, by clicking the "Select" button, the server automatically generates an electronic contract. The user digitally signs the electronic contract, and the contract is officially concluded.

[0881] Examples:

[0882] The user selects the $10,000 plan from Provider A and clicks the "Select" button.

[0883] The server automatically generates a contract and displays it on the terminal.

[0884] The user digitally signs the contract and the agreement is concluded.

[0885] The server monitors the progress of the renovation process and notifies the user of the progress.

[0886] The server monitors the progress of the renovation process, collecting real-time information as the contractor updates the progress of each step. Notifications are sent to the device according to the progress of the renovation, allowing the user to keep track of the progress of the renovation at all times.

[0887] Examples:

[0888] Update the status after the contractor finishes painting the wall.

[0889] The server receives the progress information and sends a notification to the terminal that "wall painting is complete."

[0890] The above series of processes allows users to proceed with the renovation process efficiently and transparently. By confirming the vision for the post-renovation state in advance, it is possible to avoid unexpected problems and achieve a renovation that is highly satisfactory.

[0891] The processing flow will be explained below.

[0892] Step 1:

[0893] Users take photos of the room they want to renovate and select the photos using the app on their device or the web interface. After selecting, they click the "Upload" button to send the image data to the system.

[0894] Step 2:

[0895] The device sends the image data to a server, which then stores the received image data in cloud storage and sends instructions for analysis to the generative AI system.

[0896] Step 3:

[0897] The AI ​​system on the server analyzes the image data and identifies the current room layout, furniture placement, wall color, and materials. Once the analysis is complete, it generates a vision of what the room will look like after renovation. This vision generation takes into account the selected style (modern, classic, etc.).

[0898] Step 4:

[0899] The server sends the vision of the remodeled house obtained from the generative AI to multiple remodeling contractors and requests quotes from each contractor. The request includes details of the remodeling contents (e.g., new furniture arrangement, wall painting, etc.).

[0900] Step 5:

[0901] Each contractor creates an estimate based on the received renovation plan and sends it back to the server, which collects all estimates and stores them in a database.

[0902] Step 6:

[0903] The server organizes the collected estimate information and the generated vision of the remodeled house and sends this information to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[0904] Step 7:

[0905] The user compares the displayed renovation plans with the estimates and selects the most suitable plan. After selecting, the user clicks the "Select" button, and the server generates an electronic contract based on the selected plan.

[0906] Step 8:

[0907] The user then checks the generated electronic contract on the terminal and digitally signs it, officially signing the contract with the renovation contractor.

[0908] Step 9:

[0909] The server provides a project management system to the contractor to monitor the progress of the renovation process. The contractor updates the status as each renovation step (e.g., demolition, installation, finishing, etc.) is completed.

[0910] Step 10:

[0911] The server receives real-time progress information from the contractor, collects the progress status, and sends a notification to the device each time a step is completed, informing the user of the progress of the renovation.

[0912] Example 1

[0913] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0914] The traditional renovation process requires users to communicate directly with renovation contractors, which is time-consuming and often opaque. It's also difficult for users to see the desired vision for the finished product beforehand, which can result in a less-than-satisfactory renovation. There are also few ways to monitor the progress of renovations in real time, which can leave users feeling unsatisfied. A system that can solve these issues is needed.

[0915] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0916] In this invention, the server includes: means for uploading image data of the space the user wishes to renovate from a terminal and transmitting it to the server; a generation AI means for the server to analyze the input image data and generate a vision of the renovated space; a means for obtaining estimates from multiple renovating contractors based on the generated vision of the renovated space; a means for presenting the obtained estimate information on a user interface; a means for generating an electronic contract based on the renovating plan selected by the user; and a means for monitoring the progress of the renovating process and notifying the user of progress information. This allows the user to proceed with the renovating process efficiently and transparently, confirm the vision of the renovated space in advance, and achieve a renovating experience that is highly satisfying. Furthermore, the ability to grasp the progress of the renovating process in real time alleviates anxiety.

[0917] A "user" is an individual or entity that operates a control device or computer system to perform a particular operation.

[0918] A "terminal" is a device operated by a user, and is an electronic device including a smartphone, tablet, PC, etc.

[0919] A "server" is a central control unit that receives and processes requests over a network.

[0920] "Image data" is data containing visual information stored in digital form.

[0921] "Generative AI" is an artificial intelligence technology that analyzes input data and generates new data.

[0922] The "vision after renovation" is a visual image that specifically expresses the appearance and design of the space after renovation.

[0923] A "renovation contractor" is a professional or company that specializes in renovation work.

[0924] "Quote" means a document setting out the prices and terms for specific services or goods.

[0925] The "user interface" is the part that provides the screen and operation method for the user to interact with the system.

[0926] An "electronic contract" is a contract document created in digital format that becomes legally binding when signed digitally.

[0927] "Progress information" is data that indicates the progress of a project or task.

[0928] A "notification" is a message that notifies the user of a particular event or update.

[0929] The present invention provides a system for providing an efficient and transparent renovation process based on image data of a space that is desired to be renovated. Specific embodiments will be described below.

[0930] Users upload images of the space they wish to renovate

[0931] Users upload image data of the space they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users select an image of the space to be renovated and click the "upload" button to send the image data to the server. As a specific example, a user might take a photo of their living room with their smartphone and upload it through the app.

[0932] The server analyzes the image data and generates a vision of the remodeled home.

[0933] The server receives the uploaded image data and sends it to a generating AI on the cloud. The generating AI first analyzes the image data to understand characteristics such as the space's layout, furniture placement, and wall color and materials. It then generates a vision of the remodeled space based on the user's desired remodeling style (e.g., modern, classic, minimalist, etc.). The generating AI model uses the latest deep learning technology. For example, a user may select a "modern style," and the generating AI may propose a design that matches that.

[0934] The server gets quotes from multiple renovation contractors

[0935] Based on the generated vision of the remodel, the server proposes renovation plans to multiple remodeling companies. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database. For example, the server may send proposals to companies A, B, and C, and they may return estimates of $10,000, $12,000, and $11,000, respectively.

[0936] The terminal displays the estimate information and vision on the user interface.

[0937] The server organizes the collected estimate information and the generated vision for the remodeled home, and sends it to the device. The device then displays this information on a user interface, allowing the user to easily compare the remodeling plan and estimates. For example, a device screen might display a design image of a new living room alongside three corresponding estimates (prices and item details).

[0938] The user selects a renovation plan and generates an electronic contract

[0939] The user compares the proposed renovation plans with the estimates and selects the plan they like best. After that, when they click the "Select" button, the server automatically generates an electronic contract and displays it on the terminal. The user digitally signs the electronic contract, and the contract is officially concluded. As a specific example, the user selects Contractor A's $10,000 plan, clicks the "Select" button, and the server generates a contract and displays it on the terminal.

[0940] The server monitors the progress of the renovation process and notifies the user of the progress.

[0941] The server monitors the progress of the entire renovation process and collects information in real time as the renovation contractor updates the progress of each step. Depending on the progress of the renovation, the server sends notifications to the device. This allows the user to always know the progress of the renovation. For example, after the renovation contractor finishes painting the wall, the server updates the status and sends a notification to the device saying "Wall painting completed."

[0942] This allows users to proceed with the renovation process efficiently and transparently. By checking the vision for the finished product in advance, it is possible to avoid unexpected problems and achieve a highly satisfying renovation. In addition, by knowing the progress of the renovation in real time, users can eliminate anxiety and proceed with the renovation with peace of mind.

[0943] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0944] Step 1:

[0945] The user uploads image data of the space they wish to renovate.

[0946] Specifically, a user opens the app or web interface on their smartphone or PC, presses the "Upload" button, selects an image file (for example, "living_room.jpg"), and clicks the "Send" button.

[0947] Input: Image data of the living room

[0948] Output: Image data is sent from the device to the server

[0949] Step 2:

[0950] The server receives the image data and sends it to the generation AI on the cloud.

[0951] Specifically, the server transfers the received "living_room.jpg" to the generation AI, which analyzes the image data to determine the layout, furniture placement, wall color and materials, and extracts their characteristics.

[0952] Input: Image data of the living room

[0953] Output: Image data characteristics information

[0954] Step 3:

[0955] The server generates characteristic information and creates a vision for the post-renovation period based on AI.

[0956] Specifically, the generation AI uses the analyzed characteristic information to generate a post-renovation design based on the user's desired renovation style (for example, "modern style") and creates a vision.

[0957] Input: Image data characteristics information and the user's desired renovation style

[0958] Output: Vision after renovation (visual image)

[0959] Step 4:

[0960] Based on the vision of the remodeled home that the server has generated, it requests estimates from multiple remodeling companies.

[0961] Specifically, the server sends the generated vision to vendors A, B, and C and receives quotes from each. For example, the quote from vendor A is $10,000, from vendor B is $12,000, and from vendor C is $11,000.

[0962] Input: Vision after renovation

[0963] Output: Estimate information from each renovation contractor

[0964] Step 5:

[0965] The server sends the collected estimate information and the generated vision to the terminal.

[0966] Specifically, the server sends the design image of the new living room and three estimates to the device, which then displays this information on the user interface, allowing the user to easily compare the renovation plans and estimates.

[0967] Input: Estimate information and vision after renovation

[0968] Output: Vision and estimate information for the renovation displayed on the user interface

[0969] Step 6:

[0970] The user selects a renovation plan and generates an electronic contract.

[0971] Specifically, when the user selects Provider A's $10,000 plan and clicks the "Select" button, the server automatically generates an electronic contract and displays it on the terminal. Once the user digitally signs the contract, the contract is officially concluded.

[0972] Input: Selected renovation plan

[0973] Output: Generated e-contract and digitally signed contract

[0974] Step 7:

[0975] The server monitors the progress of the renovation process and notifies the user of the progress.

[0976] Specifically, the renovation contractor updates the progress of each process to the server, which collects the information in real time. The server then sends notifications to the device according to the progress. For example, a notification saying "Wall painting completed" is displayed on the device.

[0977] Input: Progress information from the renovation contractor

[0978] Output: Progress notification to user terminal

[0979] This allows users to navigate the renovation process efficiently and transparently.

[0980] (Application example 1)

[0981] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0982] The conventional renovation process required users to contact multiple renovation contractors and compare quotes, which was time-consuming, and it was difficult to see the vision of the finished product in advance. Furthermore, the progress of the renovation process was unclear, which led to the possibility of unexpected problems occurring. Furthermore, in terms of physical security, it was difficult to detect suspicious individuals or abnormal behavior, making it difficult to ensure an environment in which renovations could be carried out with peace of mind.

[0983] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0984] In this invention, the server includes means for inputting image data of a space to be renovated, a generation AI means for analyzing the input image data and generating a vision of the renovated space, a means for obtaining estimates from multiple renovating companies based on the generated vision of the renovated space, a means for presenting the obtained estimate information to the user, a means for generating an electronic contract based on a renovating plan selected by the user, a means for monitoring the progress of the renovating process and notifying the user of progress information, a means for analyzing surveillance camera footage and detecting anomalies, and a means for issuing an alert when an anomaly is detected. This allows the user to proceed with the renovating process efficiently, ensures transparency, and strengthens physical security during the renovating process.

[0985] The "means for inputting image data of the space to be remodeled" is an interface that allows the user to import images of the room or space that the user wishes to remodel into the system.

[0986] The "generative AI means for analyzing input image data and generating a vision of the post-renovation state" is an artificial intelligence system that analyzes image data uploaded by users and predicts and suggests the state of the property after renovation.

[0987] "Means of obtaining estimates from multiple renovation contractors based on the generated vision of the remodeled home" refers to the process of requesting estimates from multiple renovation contractors based on the remodeling plan created by the generation AI.

[0988] The "means for presenting the acquired quotation information to the user" is an interface for visually displaying the collected quotation information to the user.

[0989] The "means for generating an electronic contract based on a renovation plan selected by a user" is a system that electronically generates a formal contract document based on a renovation plan selected by a user.

[0990] "Means for monitoring the progress of the renovation process and notifying the user of progress information" is a function that tracks the stage of the renovation work in real time and notifies the user of that information.

[0991] "Means for analyzing surveillance camera footage and detecting abnormalities" refers to a system that analyzes video data obtained from surveillance cameras and detects unusual movements or suspicious behavior.

[0992] "Means for issuing a warning when an abnormality is detected" is a function that immediately sends a warning to users and related organizations when an abnormality is detected through analysis.

[0993] The following is a detailed description of an embodiment of the present invention. This invention is a system that provides an efficient and transparent renovation process based on image data of a space to be renovated, and further includes a function that analyzes surveillance camera footage to detect abnormalities and issue warnings. This system mainly includes the following components: a means for inputting image data, a generation AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, a means for notifying progress information, a means for analyzing surveillance camera footage, and a means for issuing warnings.

[0994] A means of inputting image data

[0995] Users upload photos of the room they want to renovate to the system from their device (smartphone, tablet, PC, etc.) using a dedicated app or web interface.

[0996] Generation AI means

[0997] The server sends the image data uploaded by the user to the AI ​​generator, which analyzes the current floor plan, furniture placement, wall color and materials, etc. It then generates a vision of the remodeled home based on the user's preferences. This AI generator then proposes the optimal design, taking into account styles such as modern, classic, and minimalist.

[0998] How to get and provide quotes

[0999] Based on the generated vision of the remodeled house, the server proposes the remodeling contents to multiple remodeling companies and obtains estimates from each company. The estimate information is stored in a database, and the collected estimate information and the generated vision of the remodeled house are displayed on the user interface. The user can compare the proposed remodeling plan with the estimates.

[1000] A means of generating electronic contracts

[1001] The user compares the proposed renovation plan with the estimate, and the server automatically generates an electronic contract based on the plan they select. The user then digitally signs the electronic contract, officially concluding the contract.

[1002] A means of communicating progress information

[1003] The server monitors the progress of the renovation process, collecting real-time progress information as the contractor completes each step, and then sends notifications to the device, allowing the user to stay informed of the progress of the renovation.

[1004] Means of analyzing surveillance camera footage and issuing warnings

[1005] The server analyzes surveillance camera footage in real time. The main technologies and software used include OpenCV (video data processing) and Keras (generative AI model inference). The system acquires video data from surveillance cameras and performs image analysis to detect suspicious individuals or abnormal behavior. If an abnormality is detected, the server immediately sends an alert to the user or relevant authorities. For example, if a suspicious individual is detected in the middle of the night on surveillance camera footage from a home's living room, the server analyzes the image data and issues an alert.

[1006] Example prompt: "Detect suspicious individuals from this video data."

[1007] This series of processes allows users to efficiently navigate the renovation process at hand, ensures transparency, and also enhances physical security during the renovation.

[1008] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1009] Step 1:

[1010] The user uploads image data of the space they wish to renovate from their terminal.

[1011] Input: A photo of the room taken by the user.

[1012] What happens: The user uses the app on their device or the web interface to select the photo they want to upload and clicks the "Upload" button.

[1013] Output: Image data is sent to the server and saved.

[1014] Step 2:

[1015] The server analyzes the image data and generates a vision of the post-renovation look.

[1016] Input: Uploaded image data.

[1017] How it works: The server sends image data to a cloud-based generative AI model, which analyzes characteristics such as the floor plan, furniture placement, and wall color and materials. The generative AI then generates a vision for the remodel based on the user's preferences, taking into account styles such as modern, classic, and minimalist.

[1018] Output: Design images containing the vision of the remodeled space according to the user's wishes.

[1019] Step 3:

[1020] The server obtains estimates from multiple renovation companies based on the generated vision of the remodeled house.

[1021] Input: Generated vision of the remodeled area.

[1022] Specific operation: The server sends the renovation vision to multiple renovation contractors and requests estimates based on the renovation contents.

[1023] Output: Estimate information from each renovation contractor.

[1024] Step 4:

[1025] The terminal displays estimate information and a vision for the remodeled home on a user interface.

[1026] Input: The estimate information obtained and the generated vision for the remodel.

[1027] Specific operation: The server organizes the estimate information and design images and sends them to the terminal. The estimate information (price and item details) and the renovation vision are displayed on the user interface.

[1028] Output: The estimate information and vision of the remodel presented to the user.

[1029] Step 5:

[1030] The user selects a renovation plan and generates an electronic contract.

[1031] Input: User selected renovation plan.

[1032] Specific operation: The user selects the plan they like from the presented plans and clicks the "Select" button, which causes the server to automatically generate an electronic contract.

[1033] Output: An automatically generated electronic contract, and the user's digital signature.

[1034] Step 6:

[1035] The server monitors the progress of the renovation process and notifies the user of the progress.

[1036] Input: Progress data for the renovation process.

[1037] What it does: Monitors progress and updates the status as the contractor completes each step. Collects real-time progress updates and sends them to the device.

[1038] Output: Progress information sent to the user's device in real time.

[1039] Step 7:

[1040] The server analyzes surveillance camera footage and detects abnormalities.

[1041] Input: Security camera footage.

[1042] How it works: The server receives video data from surveillance cameras in real time and analyzes the footage using OpenCV. A generative AI model using Keras detects suspicious individuals and abnormal behavior.

[1043] Output: Information about detected anomalies.

[1044] Step 8:

[1045] The server issues an alert when it detects an abnormality.

[1046] Input: Anomaly detection information.

[1047] Specific behavior: If an anomaly is detected, the server will use an alert notification system such as Twilio to send an alert to the user or relevant authorities.

[1048] Output: A warning message.

[1049] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1050] The following describes in detail the embodiments of the present invention. The present invention is a system that provides an efficient and transparent renovation process based on image data of a space to be renovated, and further combines it with an emotion engine that recognizes the user's emotions and reflects them in the renovation plan. This system includes the following main components: a means for inputting image data, a generation AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, a means for notifying progress information, and an emotion engine that recognizes the user's emotions.

[1051] Users upload images of the space they wish to renovate.

[1052] Users upload photos of the room they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users can select the target photo and click the "Upload" button to provide the image data to the system.

[1053] The server analyzes the image data and generates a vision of the remodeled home.

[1054] The server receives the uploaded image data and sends it to a cloud-based AI generator. The AI ​​first analyzes the image data to identify the current floor plan, furniture placement, wall color and materials, etc. It then generates a vision for the remodel based on the user's preferences. In doing so, the AI ​​considers styles such as modern, classic, and minimalist to propose the optimal design.

[1055] Examples:

[1056] If a user uploads a photo of their living room, the server analyzes the photo and recognizes the current furniture arrangement, wall color, floor material, etc.

[1057] As a result, the generative AI chooses a modern style and creates a revision that includes new furniture arrangements, wall paint, flooring materials, etc.

[1058] The server gets quotes from multiple renovation contractors

[1059] The server proposes renovation plans to multiple renovation companies based on the generated vision of the renovation. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database.

[1060] Examples:

[1061] The server sends the design of the renovated living room to contractors A, B, and C and obtains quotes from each.

[1062] Contractor A quotes $10,000, Contractor B quotes $12,000, and Contractor C quotes $11,000.

[1063] The terminal displays the estimate information and vision on the user interface.

[1064] The server organizes the collected estimate information and the generated vision of the remodeled house and sends it to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[1065] Examples:

[1066] The device displays an image of the new living room design, along with corresponding quotes (price and item details) from three contractors.

[1067] Recognizing the user's emotional state

[1068] As the user checks the vision for the remodeled home, the device uses emotion recognition sensors such as cameras and microphones to detect the user's emotions in real time, and the emotion engine then determines whether the user is satisfied or anxious.

[1069] Examples:

[1070] If a user looks at the living room design presented and says, "I'd prefer something a little simpler in color than this," the device will determine from the user's voice and facial expression that they are feeling anxious.

[1071] The server modifies the renovation plan based on the user's emotions.

[1072] The server receives the emotion data provided by the emotion engine and automatically modifies the renovation plan based on the user's emotions. For example, if the user feels anxious, the server instructs the generation AI to change the suggested color palette or furniture arrangement.

[1073] Examples:

[1074] The server receives the user's emotional data and instructs the AI ​​to re-optimize the living room design, resulting in a new design with altered color tones.

[1075] The user checks and selects the new renovation plan.

[1076] The terminal displays the revised renovation plan and estimate information on the user interface again, allowing the user to compare and select. The user can check the plans and select the most suitable plan once they are satisfied.

[1077] The server generates electronic contracts and monitors the renovation process.

[1078] The server generates an electronic contract based on the renovation plan selected by the user, and once the user digitally signs it, the renovation contract is officially concluded.The server then monitors the progress of the renovation process and notifies the terminal of progress information each time the contractor completes each step.

[1079] Examples:

[1080] The server receives the progress information and notifies the terminal of the status, such as "Painting of the wall is complete."

[1081] This system allows users to achieve a more satisfying renovation by providing them with a renovation plan that takes their emotions into consideration.

[1082] The processing flow will be explained below.

[1083] Step 1:

[1084] Users take photos of the room they want to renovate and select the photos using the app on their device or the web interface. After selecting, they click the "Upload" button to send the image data to the system.

[1085] Step 2:

[1086] The device sends the image data to a server, which then stores the received image data in cloud storage and sends instructions for analysis to the generative AI system.

[1087] Step 3:

[1088] The AI ​​system on the server analyzes the image data and identifies the current room layout, furniture placement, wall color, and materials. Once the analysis is complete, it generates a vision of what the room will look like after renovation. This vision generation takes into account the style selected by the user (modern, classic, etc.).

[1089] Step 4:

[1090] The server sends the vision of the remodeled house obtained from the generative AI to multiple remodeling contractors and requests quotes from each contractor. The request includes details of the remodeling contents (e.g., new furniture arrangement, wall painting, etc.).

[1091] Step 5:

[1092] Each contractor creates an estimate based on the received renovation plan and sends it back to the server, which collects all estimates and stores them in a database.

[1093] Step 6:

[1094] The server organizes the collected estimate information and the generated vision of the remodeled house and sends this information to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[1095] Step 7:

[1096] As the user checks the vision for the remodeled home, the device uses emotion recognition sensors such as cameras and microphones to detect the user's emotions in real time, and the emotion engine then determines whether the user is satisfied or anxious.

[1097] Step 8:

[1098] The server receives the emotion data provided by the emotion engine and automatically modifies the renovation plan based on the user's emotions. For example, if the user feels anxious, the server instructs the generation AI to change the suggested color palette or furniture arrangement.

[1099] Step 9:

[1100] The server sends the revised renovation plan to the terminal again, and the terminal displays the new renovation plan and estimate information on the user interface, allowing the user to compare and select again.

[1101] Step 10:

[1102] The user compares the displayed renovation plans with the estimates and selects the most suitable plan. After selecting, the user clicks the "Select" button, and the server generates an electronic contract based on the selected plan.

[1103] Step 11:

[1104] The user then checks the generated electronic contract on the terminal and digitally signs it, officially signing the contract with the renovation contractor.

[1105] Step 12:

[1106] The server provides a project management system to the contractor to monitor the progress of the renovation process. The contractor updates the status as each renovation step (e.g., demolition, installation, finishing, etc.) is completed.

[1107] Step 13:

[1108] The server receives real-time progress information from the contractor, collects the progress status, and sends a notification to the device each time a step is completed, informing the user of the progress of the renovation.

[1109] Example 2

[1110] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1111] In conventional renovation processes, users have to spend a lot of time and effort to come up with a concrete renovation plan. Furthermore, the plan does not take into account the user's emotional changes, resulting in low satisfaction with the final renovation results. Furthermore, obtaining and comparing quotes from renovation contractors is cumbersome, resulting in a lack of efficiency in the entire process. A system that can solve these issues and improve user satisfaction is needed.

[1112] The specification processing by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting image data of a space desired to be renovated, generation AI means for analyzing the input image data and generating a vision of the renovated space, means for obtaining estimates from multiple renovating companies based on the generated vision of the renovated space, means for presenting the obtained estimate information to the user, emotion engine means for recognizing the user's emotional state and revising the renovating plan, means for presenting the revised renovating plan to the user and allowing the user to select it, means for generating an electronic contract based on the renovating plan selected by the user, and means for monitoring the progress of the renovating process and notifying the user of progress information. This enables an efficient and transparent renovating process that takes the user's emotions into consideration.

[1113] "Means for inputting image data of the space you wish to renovate" refers to a method and device that allows a user to use a terminal (smartphone, tablet, PC, etc.) to upload images of the room you wish to renovate to the system.

[1114] "Generative AI means" refers to artificial intelligence technology and related devices that analyze uploaded image data, identify the current floor plan, furniture placement, wall color and material, etc., and then generate a vision of the renovated home based on the user's wishes.

[1115] "Means for obtaining estimates" refers to a method and device for presenting the renovation details to multiple renovation contractors based on the generated vision of the renovation and obtaining estimates from each contractor.

[1116] "Means for presenting acquired estimate information to the user" refers to a method and device for organizing the estimate information acquired from each renovation contractor and displaying it on a user interface so that the user can check it.

[1117] "Emotion engine means" refers to technology and related devices that recognize the user's emotional state (e.g., satisfaction, anxiety, etc.) in real time when the user confirms the vision for the remodeling, and adjusts the remodeling plan based on that information.

[1118] The "means for generating an electronic contract" refers to a system and method for automatically generating an electronic contract based on a renovation plan selected by a user and for the user to digitally sign it.

[1119] "Means for monitoring the progress of the renovation process and notifying the user of progress information" refers to a method and apparatus for monitoring the progress of the renovation in real time and notifying the user of the progress as each process is completed.

[1120] The present invention is a system for efficiently and transparently carrying out the renovation process, and is capable of consistently performing everything from inputting image data to obtaining estimates, presenting renovation plans, and generating contracts. The present invention also incorporates an emotion engine that can recognize the user's emotions in real time and reflect them in the renovation plan. The specific hardware and software configurations and processing procedures for this system are described in detail below.

[1121] The system consists of a terminal for users to input image data of the room they wish to renovate, a generation AI that analyzes and generates the data, a server for obtaining estimate information, a terminal that provides a user interface, an emotion engine that recognizes the user's emotions, and a software module for generating electronic contracts.

[1122] Hardware and software configuration

[1123] 1. Device:

[1124] Internet-connected devices such as smartphones, tablets, and PCs.

[1125] These devices have built-in cameras and microphones, and are capable of capturing image data and collecting audio data.

[1126] 2. Server:

[1127] Use computing resources built on cloud infrastructure.

[1128] Hosts generative AI models and performs data analysis and generation processing on the cloud.

[1129] 3. Generation AI:

[1130] AI model using machine learning algorithms.

[1131] It combines image processing techniques (e.g., computer vision) and natural language processing techniques to generate a vision of what the renovation will look like.

[1132] 4. Emotion Engine:

[1133] It uses voice and facial expression recognition technology to analyze the user's emotions in real time.

[1134] Based on the analysis results, feedback is sent to the generating AI, which then adjusts the renovation plan.

[1135] 5. Software Module:

[1136] Software for integrated management of the entire system.

[1137] Generates electronic contracts and notifies progress information.

[1138] Detailed procedure

[1139] 1. User image data upload:

[1140] Users use an application on their smartphone or PC to take pictures of the room they want to renovate and upload them to the system.

[1141] The device sends the uploaded images to a server on the cloud.

[1142] 2. Image data analysis and post-renovation vision generation:

[1143] The server sends the received image data to the generative AI model.

[1144] The generative AI model analyzes images to identify the current floor plan, furniture placement, wall color, etc., and generates a vision of what the home will look like after renovation.

[1145] The generative AI model takes into account a specified style (e.g., modern, classic, minimalist, etc.) and suggests the best design.

[1146] Examples:

[1147] When a user uploads a photo of their living room to the system, the server sends the photo to a generative AI model.

[1148] A generative AI model analyzes photos and generates modern living room designs.

[1149] Example prompt sentence:

[1150] "User has uploaded a picture of their living room and expressed a preference for a minimalist style. Analyze the current room layout and provide a new room design that features minimalist elements."

[1151] 3. Obtaining and Presenting Quotes:

[1152] Based on the generated vision of the remodeled home, the server proposes remodeling plans to multiple remodeling contractors and obtains estimates.

[1153] The acquired quotation data is organized and presented to the user through a user interface.

[1154] The user compares the displayed quote information and selects the appropriate plan.

[1155] Examples:

[1156] The server sends a request for quotation to three vendors (A, B, and C) and receives a quotation from each.

[1157] The server organizes the quote information and sends it to the terminal.

[1158] The terminal displays quote information on the user interface, allowing the user to compare and consider options.

[1159] 4. Emotional engine regulation:

[1160] The device uses a camera and microphone to recognize the user's emotional state in real time as they check the vision for the renovated home.

[1161] The emotion engine analyzes the user's emotions from their facial expressions and voice and sends that information to the server.

[1162] Based on the emotional data, the server instructs the generating AI to adjust the renovation plan.

[1163] Examples:

[1164] If the user shows an anxious expression and says, "I want it to be a little simpler," the device collects that emotional data.

[1165] The server issues new instructions to the generation AI and regenerates the renovation plan based on the emotion data.

[1166] 5. Electronic contract generation and progress notification:

[1167] The server generates an electronic contract based on the renovation plan selected by the user and prompts the user to digitally sign it.

[1168] Once the renovation process begins, the server monitors progress information in real time and notifies the user's terminal of the completion information for each process.

[1169] This allows users to use the optimal renovation plan that takes their feelings into consideration and experience an efficient and transparent renovation process.

[1170] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1171] Step 1:

[1172] Users upload images of the room they wish to renovate from their device to the system. They use the app on their device or the web interface to select the desired photo and click the "Upload" button. The input is the image file of the room taken by the user. The device then sends this image file to a server on the cloud. The output is the image data received by the server.

[1173] Specific behavior:

[1174] A user uploads a photo of their living room using a smartphone app.

[1175] The device sends the photo data to the server.

[1176] Step 2:

[1177] The server sends the received image data to the generative AI model. The input at this time is the image data sent to the server in step 1. The generative AI model analyzes the image and identifies the floor plan, furniture placement, decorative elements, etc. The results of this analysis become the output of the generative AI model.

[1178] Specific behavior:

[1179] The server sends image data from the living room to the generative AI model.

[1180] The generative AI model analyzes the image and recognizes the current furniture arrangement and room layout.

[1181] Step 3:

[1182] The generative AI model generates a vision of the remodeled home based on the analysis results and the user's desired style. The inputs are the image analysis results and the user's desired style (e.g., modern, classic). The output is the design details of the remodeled home.

[1183] Specific behavior:

[1184] A generative AI model generates a new design for a living room based on the user's "modern style" preferences.

[1185] The generated vision is stored on the cloud.

[1186] Step 4:

[1187] Based on the generated vision of the remodeled house, the server proposes the remodeling contents to multiple remodeling companies and obtains estimates. The input is the generated vision of the remodeled house, and the output is the estimate data returned by each company. The server stores these estimates in a database.

[1188] Specific behavior:

[1189] The server sends the vision for the remodeled house to contractors A, B, and C.

[1190] The server receives quotes from Vendor A for $10,000, Vendor B for $12,000, and Vendor C for $11,000.

[1191] The obtained quotation information is saved in the database.

[1192] Step 5:

[1193] The server organizes the collected estimate information and the generated vision of the remodeled house and sends it to the terminal. The input is the saved estimate information and the vision of the remodeled house, and the output is the information displayed on the user interface. The terminal displays this information, allowing the user to compare the estimate and the vision of the remodeled house.

[1194] Specific behavior:

[1195] The server organizes the estimate information and renovation vision and sends them to the terminal.

[1196] The terminal displays this information on the user interface.

[1197] Step 6:

[1198] When the user checks the vision of the renovation, the device detects the user's emotions in real time using emotion recognition sensors such as cameras and microphones. The input is the user's facial expression data and voice data, which the emotion engine analyzes and outputs as the user's emotional state.

[1199] Specific behavior:

[1200] While looking at the living room design presented to the user, the user says, "I'd prefer something a little simpler in color than this."

[1201] The device recognizes the user's emotions from their voice and facial expressions, and the emotion engine analyzes them.

[1202] Step 7:

[1203] The server receives the emotion data from the emotion engine and automatically modifies the renovation plan based on the user's emotion. The inputs are the emotion data from the emotion engine and the original renovation vision, and the modified renovation plan is output.

[1204] Specific behavior:

[1205] The server receives the emotion data and issues instructions to the generating AI again.

[1206] A generative AI model generates a new renovation plan with adjusted color tones.

[1207] Step 8:

[1208] The terminal displays the revised renovation plan and estimate information again on the user interface, allowing the user to compare and select. The input is the revised renovation plan and estimate information, and the output is screen information that the user can check. The user checks the plans and selects the most suitable one.

[1209] Specific behavior:

[1210] The terminal displays the revised renovation plan and estimate information on the user interface.

[1211] The user reviews the plans and chooses the one that best suits them.

[1212] Step 9:

[1213] The server generates an electronic contract based on the renovation plan selected by the user and prompts the user to sign it digitally. The input is the selected renovation plan and the user's digital signature information, and the output is a formal renovation contract. The server then monitors the renovation process and notifies the terminal of progress information.

[1214] Specific behavior:

[1215] The server generates the electronic contract.

[1216] The user digitally signs the document and the contract is concluded.

[1217] The server monitors the progress of the renovation and notifies the terminal of the completion information for each process.

[1218] The above-described processing flow allows the user to efficiently and transparently create an optimal renovation plan that reflects their own feelings.

[1219] (Application example 2)

[1220] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1221] In the conventional renovation process, there was a lack of means to confirm whether the user was satisfied with the proposed plan, making it particularly difficult to propose an optimal renovation plan that reflected the user's emotions. Furthermore, in the immediacy-demanding environment of a physical store, it was difficult to make proposals that reflected the customer's emotions in real time, which was one of the factors that reduced customer satisfaction. Furthermore, there was insufficient guarantee that estimates and contract procedures were carried out quickly and transparently, which left users' concerns and questions unresolved.

[1222] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting image data of a space desired to be renovated, generation AI means for analyzing the input image data and generating a vision of the renovated space, means for obtaining estimates from multiple renovating contractors based on the generated vision of the renovated space, means for presenting the obtained estimate information to the user, means for generating an electronic contract based on the renovating plan selected by the user, means for monitoring the progress of the renovating process and notifying the user of progress information, means for recognizing the user's emotional state, and means for modifying the renovating plan based on the recognized emotion. This makes it possible to propose an optimal renovating plan that reflects the user's emotions and to make the renovating process more transparent and faster.

[1223] "Means for inputting image data of the space that the user wishes to renovate" refers to hardware or software that allows the user to upload image data of the space that the user wishes to renovate into the system.

[1224] "Generative AI means" refers to a means that uses artificial intelligence technology to analyze input image data and generate a vision of the space after renovation.

[1225] "Means for obtaining estimates" refers to software and communication technology for obtaining estimates from multiple renovation contractors based on the generated vision of the remodeled home.

[1226] The "means for presenting estimate information to the user" refers to a system including a user interface for presenting the acquired estimate information to the user in an easy-to-understand manner.

[1227] "Means for generating an electronic contract" refers to a means for automatically generating a digital contract based on the renovation plan selected by the user, and saving and submitting it in a format that can be electronically signed.

[1228] "Means for monitoring progress and notifying progress information" refers to a system for monitoring the progress of the renovation process in real time and notifying the user of progress information for each step.

[1229] "Means for recognizing the user's emotional state" refers to technology that uses sensors such as cameras and microphones to recognize the user's emotional state regarding the vision of the renovated home that they have confirmed.

[1230] "Means for modifying home improvement plans based on emotions" refers to algorithms and techniques for automatically adapting and modifying proposed home improvement plans based on recognized user emotion data.

[1231] The following describes in detail the embodiments of the present invention. The present invention is a system for realizing renovation proposals, particularly in brick-and-mortar stores, and generates renovation plans that take the user's emotions into consideration. Specific embodiments of the invention will be described based on the main components and their operations shown below.

[1232] First, the user takes an image of the space they wish to renovate using their smartphone camera, or imports an existing photo into the device. The image data is then uploaded through the device's application and sent to the server. The server analyzes this image data and generates a vision of the renovated space using a generative AI tool. This is done using prompts that reflect the user's desired style and requests. Examples of prompts are as follows:

[1233] Current layout and furniture: The walls are white and the floors are wooden. The desired renovation style is classic. The overall atmosphere is calm.

[1234] Next, the server obtains estimates from multiple remodeling contractors based on the generated vision of the remodeled home. This estimate information is sent from the server to the user's device and displayed on the user interface. Here, the user can check and compare the presented remodeling plan and estimate information.

[1235] Next, when the user checks the renovation plan, the device's camera and microphone are used to capture the user's facial expressions and voice, recognizing their emotional state in real time. The emotion engine analyzes this data and determines whether the user is satisfied or anxious. For example, if the user says, "This color seems a little too flashy," the device will recognize that the user is anxious.

[1236] The server modifies the renovation plan based on the recognized emotion data. The data provided by the emotion engine sends new prompts to the generation AI, which then generates a new vision. In this way, the optimal renovation plan that reflects the user's emotions is provided.

[1237] Finally, the server generates an electronic contract based on the renovation plan selected by the user, and the official renovation contract is concluded when the user digitally signs it.The progress of the renovation process is then monitored, and progress information is sent to the terminal each time the contractor completes a step.

[1238] This system allows users to achieve a more satisfying renovation by providing them with a renovation plan that takes their emotions into consideration. It also makes the renovation process more transparent and quicker, improving the user experience in physical stores.

[1239] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1240] Step 1:

[1241] Users take images of the space they wish to renovate on their device, or import existing photos, and upload them to the server through the device's application. The input data is in the form of an image file, and the output is image data transferred to the server.

[1242] Step 2:

[1243] The server analyzes the uploaded image data. This analysis uses image analysis software such as OpenCV to extract features such as the current floor plan, furniture placement, and wall color and material. The input is image data, and the output is analyzed structural data.

[1244] Step 3:

[1245] The server sends a prompt to the generation AI based on the analysis results to generate a vision of the remodeled home. For example, OpenAI GPT-3 is used as the generation AI, and a prompt is given to generate a text version of the vision of the remodeled home. The input is the analyzed structure data and the prompt, and the output is the text version of the vision of the remodeled home.

[1246] Step 4:

[1247] The server requests quotes from multiple renovation companies based on the generated vision of the finished house. Each company creates a quote based on the renovation details and sends it back to the server. The input is the vision text of the finished house, and the output is the quote data from each company.

[1248] Step 5:

[1249] The server organizes the acquired quotation information and sends it to the terminal through the user interface. The user can check and compare this information on the terminal. The input is quotation data, and the output is the data displayed on the user interface.

[1250] Step 6:

[1251] The device uses a camera and microphone to recognize the user's emotional state in real time as they check the vision and estimate for the renovation. The input is the user's facial expression and voice data, and the output is emotional state data.

[1252] Step 7:

[1253] The server receives the emotional state data provided by the emotion engine and modifies the renovation plan based on the emotion. It then sends a new prompt to the generation AI, which then generates a new vision of the renovation. The input is the emotional state data and the initial renovation vision, and the output is the modified renovation vision.

[1254] Step 8:

[1255] The user then rechecks the revised renovation plan and estimate information and selects the most appropriate plan. The input is the revised renovation vision and estimate data, and the output is the selected renovation plan.

[1256] Step 9:

[1257] The server generates an electronic contract based on the selected renovation plan and prompts the user to digitally sign it. Once the user digitally signs, the renovation contract is officially concluded. The input is the selected renovation plan, and the output is the electronic contract.

[1258] Step 10:

[1259] The server monitors the progress of the renovation process and notifies the user of progress information for each step. The input is renovation progress data, and the output is progress notification messages.

[1260] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1261] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1262] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1263] [Fourth embodiment]

[1264] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1265] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1266] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1267] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1268] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1269] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1270] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1271] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1272] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1273] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1274] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1275] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1276] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1277] The following describes in detail the embodiments of the present invention. The present invention is a system that provides an efficient and transparent renovation process based on image data of a space that is desired to be renovated. This system includes the following main components: a means for inputting image data, a generating AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, and a means for notifying progress information.

[1278] Users upload images of the space they wish to renovate.

[1279] Users upload photos of the room they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users can select the target photo and click the "Upload" button to provide the image data to the system.

[1280] The server analyzes the image data and generates a vision of the remodeled home.

[1281] The server receives the uploaded image data and sends it to a cloud-based AI generator. The AI ​​first analyzes the image data to understand the current layout, furniture placement, wall color, material, and other characteristics. It then generates a vision of the remodeled home based on the user's preferences. In doing so, the AI ​​considers styles such as modern, classic, and minimalist to propose the optimal design.

[1282] Examples:

[1283] If a user uploads a photo of their living room, the server analyzes the photo and recognizes the current furniture arrangement, wall color, floor material, etc.

[1284] As a result, the generative AI chooses a modern style and creates a revision that includes new furniture arrangements, wall paint, flooring materials, etc.

[1285] The server gets quotes from multiple renovation contractors

[1286] The server proposes renovation plans to multiple renovation companies based on the generated vision of the renovation. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database.

[1287] Examples:

[1288] The server sends the design of the renovated living room to contractors A, B, and C and obtains quotes from each.

[1289] Contractor A quotes $10,000, Contractor B quotes $12,000, and Contractor C quotes $11,000.

[1290] The terminal displays the estimate information and vision on the user interface.

[1291] The server organizes the collected estimate information and the generated vision for the renovation, and sends it to the terminal. The terminal displays this information on a user interface, allowing the user to easily compare the renovation plan and estimate.

[1292] Examples:

[1293] The device displays an image of the new living room design, along with corresponding quotes (price and item details) from three contractors.

[1294] The user selects a renovation plan and generates an electronic contract

[1295] The user compares the proposed renovation plans with the estimates and selects the plan they like best. After that, by clicking the "Select" button, the server automatically generates an electronic contract. The user digitally signs the electronic contract, and the contract is officially concluded.

[1296] Examples:

[1297] The user selects the $10,000 plan from Provider A and clicks the "Select" button.

[1298] The server automatically generates a contract and displays it on the terminal.

[1299] The user digitally signs the contract and the agreement is concluded.

[1300] The server monitors the progress of the renovation process and notifies the user of the progress.

[1301] The server monitors the progress of the renovation process, collecting real-time information as the contractor updates the progress of each step. Notifications are sent to the device according to the progress of the renovation, allowing the user to keep track of the progress of the renovation at all times.

[1302] Examples:

[1303] Update the status after the contractor finishes painting the wall.

[1304] The server receives the progress information and sends a notification to the terminal that "wall painting is complete."

[1305] The above series of processes allows users to proceed with the renovation process efficiently and transparently. By confirming the vision for the post-renovation state in advance, it is possible to avoid unexpected problems and achieve a renovation that is highly satisfactory.

[1306] The processing flow will be explained below.

[1307] Step 1:

[1308] Users take photos of the room they want to renovate and select the photos using the app on their device or the web interface. After selecting, they click the "Upload" button to send the image data to the system.

[1309] Step 2:

[1310] The device sends the image data to a server, which then stores the received image data in cloud storage and sends instructions for analysis to the generative AI system.

[1311] Step 3:

[1312] The AI ​​system on the server analyzes the image data and identifies the current room layout, furniture placement, wall color, and materials. Once the analysis is complete, it generates a vision of what the room will look like after renovation. This vision generation takes into account the selected style (modern, classic, etc.).

[1313] Step 4:

[1314] The server sends the vision of the remodeled house obtained from the generative AI to multiple remodeling contractors and requests quotes from each contractor. The request includes details of the remodeling contents (e.g., new furniture arrangement, wall painting, etc.).

[1315] Step 5:

[1316] Each contractor creates an estimate based on the received renovation plan and sends it back to the server, which collects all estimates and stores them in a database.

[1317] Step 6:

[1318] The server organizes the collected estimate information and the generated vision of the remodeled house and sends this information to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[1319] Step 7:

[1320] The user compares the displayed renovation plans with the estimates and selects the most suitable plan. After selecting, the user clicks the "Select" button, and the server generates an electronic contract based on the selected plan.

[1321] Step 8:

[1322] The user then checks the generated electronic contract on the terminal and digitally signs it, officially signing the contract with the renovation contractor.

[1323] Step 9:

[1324] The server provides a project management system to the contractor to monitor the progress of the renovation process. The contractor updates the status as each renovation step (e.g., demolition, installation, finishing, etc.) is completed.

[1325] Step 10:

[1326] The server receives real-time progress information from the contractor, collects the progress status, and sends a notification to the device each time a step is completed, informing the user of the progress of the renovation.

[1327] Example 1

[1328] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1329] The traditional renovation process requires users to communicate directly with renovation contractors, which is time-consuming and often opaque. It's also difficult for users to see the desired vision for the finished product beforehand, which can result in a less-than-satisfactory renovation. There are also few ways to monitor the progress of renovations in real time, which can leave users feeling unsatisfied. A system that can solve these issues is needed.

[1330] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1331] In this invention, the server includes: means for uploading image data of the space the user wishes to renovate from a terminal and transmitting it to the server; a generation AI means for the server to analyze the input image data and generate a vision of the renovated space; a means for obtaining estimates from multiple renovating contractors based on the generated vision of the renovated space; a means for presenting the obtained estimate information on a user interface; a means for generating an electronic contract based on the renovating plan selected by the user; and a means for monitoring the progress of the renovating process and notifying the user of progress information. This allows the user to proceed with the renovating process efficiently and transparently, confirm the vision of the renovated space in advance, and achieve a renovating experience that is highly satisfying. Furthermore, the ability to grasp the progress of the renovating process in real time alleviates anxiety.

[1332] A "user" is an individual or entity that operates a control device or computer system to perform a particular operation.

[1333] A "terminal" is a device operated by a user, and is an electronic device including a smartphone, tablet, PC, etc.

[1334] A "server" is a central control unit that receives and processes requests over a network.

[1335] "Image data" is data containing visual information stored in digital form.

[1336] "Generative AI" is an artificial intelligence technology that analyzes input data and generates new data.

[1337] The "vision after renovation" is a visual image that specifically expresses the appearance and design of the space after renovation.

[1338] A "renovation contractor" is a professional or company that specializes in renovation work.

[1339] "Quote" means a document setting out the prices and terms for specific services or goods.

[1340] The "user interface" is the part that provides the screen and operation method for the user to interact with the system.

[1341] An "electronic contract" is a contract document created in digital format that becomes legally binding when signed digitally.

[1342] "Progress information" is data that indicates the progress of a project or task.

[1343] A "notification" is a message that notifies the user of a particular event or update.

[1344] The present invention provides a system for providing an efficient and transparent renovation process based on image data of a space that is desired to be renovated. Specific embodiments will be described below.

[1345] Users upload images of the space they wish to renovate

[1346] Users upload image data of the space they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users select an image of the space to be renovated and click the "upload" button to send the image data to the server. As a specific example, a user might take a photo of their living room with their smartphone and upload it through the app.

[1347] The server analyzes the image data and generates a vision of the remodeled home.

[1348] The server receives the uploaded image data and sends it to a generating AI on the cloud. The generating AI first analyzes the image data to understand characteristics such as the space's layout, furniture placement, and wall color and materials. It then generates a vision of the remodeled space based on the user's desired remodeling style (e.g., modern, classic, minimalist, etc.). The generating AI model uses the latest deep learning technology. For example, a user may select a "modern style," and the generating AI may propose a design that matches that.

[1349] The server gets quotes from multiple renovation contractors

[1350] Based on the generated vision of the remodel, the server proposes renovation plans to multiple remodeling companies. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database. For example, the server may send proposals to companies A, B, and C, and they may return estimates of $10,000, $12,000, and $11,000, respectively.

[1351] The terminal displays the estimate information and vision on the user interface.

[1352] The server organizes the collected estimate information and the generated vision for the remodeled home, and sends it to the device. The device then displays this information on a user interface, allowing the user to easily compare the remodeling plan and estimates. For example, a device screen might display a design image of a new living room alongside three corresponding estimates (prices and item details).

[1353] The user selects a renovation plan and generates an electronic contract

[1354] The user compares the proposed renovation plans with the estimates and selects the plan they like best. After that, when they click the "Select" button, the server automatically generates an electronic contract and displays it on the terminal. The user digitally signs the electronic contract, and the contract is officially concluded. As a specific example, the user selects Contractor A's $10,000 plan, clicks the "Select" button, and the server generates a contract and displays it on the terminal.

[1355] The server monitors the progress of the renovation process and notifies the user of the progress.

[1356] The server monitors the progress of the entire renovation process and collects information in real time as the renovation contractor updates the progress of each step. Depending on the progress of the renovation, the server sends notifications to the device. This allows the user to always know the progress of the renovation. For example, after the renovation contractor finishes painting the wall, the server updates the status and sends a notification to the device saying "Wall painting completed."

[1357] This allows users to proceed with the renovation process efficiently and transparently. By checking the vision for the finished product in advance, it is possible to avoid unexpected problems and achieve a highly satisfying renovation. In addition, by knowing the progress of the renovation in real time, users can eliminate anxiety and proceed with the renovation with peace of mind.

[1358] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1359] Step 1:

[1360] The user uploads image data of the space they wish to renovate.

[1361] Specifically, a user opens the app or web interface on their smartphone or PC, presses the "Upload" button, selects an image file (for example, "living_room.jpg"), and clicks the "Send" button.

[1362] Input: Image data of the living room

[1363] Output: Image data is sent from the device to the server

[1364] Step 2:

[1365] The server receives the image data and sends it to the generation AI on the cloud.

[1366] Specifically, the server transfers the received "living_room.jpg" to the generation AI, which analyzes the image data to determine the layout, furniture placement, wall color and materials, and extracts their characteristics.

[1367] Input: Image data of the living room

[1368] Output: Image data characteristics information

[1369] Step 3:

[1370] The server generates characteristic information and creates a vision for the post-renovation period based on AI.

[1371] Specifically, the generation AI uses the analyzed characteristic information to generate a post-renovation design based on the user's desired renovation style (for example, "modern style") and creates a vision.

[1372] Input: Image data characteristics information and the user's desired renovation style

[1373] Output: Vision after renovation (visual image)

[1374] Step 4:

[1375] Based on the vision of the remodeled home that the server has generated, it requests estimates from multiple remodeling companies.

[1376] Specifically, the server sends the generated vision to vendors A, B, and C and receives quotes from each. For example, the quote from vendor A is $10,000, from vendor B is $12,000, and from vendor C is $11,000.

[1377] Input: Vision after renovation

[1378] Output: Estimate information from each renovation contractor

[1379] Step 5:

[1380] The server sends the collected estimate information and the generated vision to the terminal.

[1381] Specifically, the server sends the design image of the new living room and three estimates to the device, which then displays this information on the user interface, allowing the user to easily compare the renovation plans and estimates.

[1382] Input: Estimate information and vision after renovation

[1383] Output: Vision and estimate information for the renovation displayed on the user interface

[1384] Step 6:

[1385] The user selects a renovation plan and generates an electronic contract.

[1386] Specifically, when the user selects Provider A's $10,000 plan and clicks the "Select" button, the server automatically generates an electronic contract and displays it on the terminal. Once the user digitally signs the contract, the contract is officially concluded.

[1387] Input: Selected renovation plan

[1388] Output: Generated e-contract and digitally signed contract

[1389] Step 7:

[1390] The server monitors the progress of the renovation process and notifies the user of the progress.

[1391] Specifically, the renovation contractor updates the progress of each process to the server, which collects the information in real time. The server then sends notifications to the device according to the progress. For example, a notification saying "Wall painting completed" is displayed on the device.

[1392] Input: Progress information from the renovation contractor

[1393] Output: Progress notification to user terminal

[1394] This allows users to navigate the renovation process efficiently and transparently.

[1395] (Application example 1)

[1396] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1397] The conventional renovation process required users to contact multiple renovation contractors and compare quotes, which was time-consuming, and it was difficult to see the vision of the finished product in advance. Furthermore, the progress of the renovation process was unclear, which led to the possibility of unexpected problems occurring. Furthermore, in terms of physical security, it was difficult to detect suspicious individuals or abnormal behavior, making it difficult to ensure an environment in which renovations could be carried out with peace of mind.

[1398] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1399] In this invention, the server includes means for inputting image data of a space to be renovated, a generation AI means for analyzing the input image data and generating a vision of the renovated space, a means for obtaining estimates from multiple renovating companies based on the generated vision of the renovated space, a means for presenting the obtained estimate information to the user, a means for generating an electronic contract based on a renovating plan selected by the user, a means for monitoring the progress of the renovating process and notifying the user of progress information, a means for analyzing surveillance camera footage and detecting anomalies, and a means for issuing an alert when an anomaly is detected. This allows the user to proceed with the renovating process efficiently, ensures transparency, and strengthens physical security during the renovating process.

[1400] The "means for inputting image data of the space to be remodeled" is an interface that allows the user to import images of the room or space that the user wishes to remodel into the system.

[1401] The "generative AI means for analyzing input image data and generating a vision of the post-renovation state" is an artificial intelligence system that analyzes image data uploaded by users and predicts and suggests the state of the property after renovation.

[1402] "Means of obtaining estimates from multiple renovation contractors based on the generated vision of the remodeled home" refers to the process of requesting estimates from multiple renovation contractors based on the remodeling plan created by the generation AI.

[1403] The "means for presenting the acquired quotation information to the user" is an interface for visually displaying the collected quotation information to the user.

[1404] The "means for generating an electronic contract based on a renovation plan selected by a user" is a system that electronically generates a formal contract document based on a renovation plan selected by a user.

[1405] "Means for monitoring the progress of the renovation process and notifying the user of progress information" is a function that tracks the stage of the renovation work in real time and notifies the user of that information.

[1406] "Means for analyzing surveillance camera footage and detecting abnormalities" refers to a system that analyzes video data obtained from surveillance cameras and detects unusual movements or suspicious behavior.

[1407] "Means for issuing a warning when an abnormality is detected" is a function that immediately sends a warning to users and related organizations when an abnormality is detected through analysis.

[1408] The following is a detailed description of an embodiment of the present invention. This invention is a system that provides an efficient and transparent renovation process based on image data of a space to be renovated, and further includes a function that analyzes surveillance camera footage to detect abnormalities and issue warnings. This system mainly includes the following components: a means for inputting image data, a generation AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, a means for notifying progress information, a means for analyzing surveillance camera footage, and a means for issuing warnings.

[1409] A means of inputting image data

[1410] Users upload photos of the room they want to renovate to the system from their device (smartphone, tablet, PC, etc.) using a dedicated app or web interface.

[1411] Generation AI means

[1412] The server sends the image data uploaded by the user to the AI ​​generator, which analyzes the current floor plan, furniture placement, wall color and materials, etc. It then generates a vision of the remodeled home based on the user's preferences. This AI generator then proposes the optimal design, taking into account styles such as modern, classic, and minimalist.

[1413] How to get and provide quotes

[1414] Based on the generated vision of the remodeled house, the server proposes the remodeling contents to multiple remodeling companies and obtains estimates from each company. The estimate information is stored in a database, and the collected estimate information and the generated vision of the remodeled house are displayed on the user interface. The user can compare the proposed remodeling plan with the estimates.

[1415] A means of generating electronic contracts

[1416] The user compares the proposed renovation plan with the estimate, and the server automatically generates an electronic contract based on the plan they select. The user then digitally signs the electronic contract, officially concluding the contract.

[1417] A means of communicating progress information

[1418] The server monitors the progress of the renovation process, collecting real-time progress information as the contractor completes each step, and then sends notifications to the device, allowing the user to stay informed of the progress of the renovation.

[1419] Means of analyzing surveillance camera footage and issuing warnings

[1420] The server analyzes surveillance camera footage in real time. The main technologies and software used include OpenCV (video data processing) and Keras (generative AI model inference). The system acquires video data from surveillance cameras and performs image analysis to detect suspicious individuals or abnormal behavior. If an abnormality is detected, the server immediately sends an alert to the user or relevant authorities. For example, if a suspicious individual is detected in the middle of the night on surveillance camera footage from a home's living room, the server analyzes the image data and issues an alert.

[1421] Example prompt: "Detect suspicious individuals from this video data."

[1422] This series of processes allows users to efficiently navigate the renovation process at hand, ensures transparency, and also enhances physical security during the renovation.

[1423] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1424] Step 1:

[1425] The user uploads image data of the space they wish to renovate from their terminal.

[1426] Input: A photo of the room taken by the user.

[1427] What happens: The user uses the app on their device or the web interface to select the photo they want to upload and clicks the "Upload" button.

[1428] Output: Image data is sent to the server and saved.

[1429] Step 2:

[1430] The server analyzes the image data and generates a vision of the post-renovation look.

[1431] Input: Uploaded image data.

[1432] How it works: The server sends image data to a cloud-based generative AI model, which analyzes characteristics such as the floor plan, furniture placement, and wall color and materials. The generative AI then generates a vision for the remodel based on the user's preferences, taking into account styles such as modern, classic, and minimalist.

[1433] Output: Design images containing the vision of the remodeled space according to the user's wishes.

[1434] Step 3:

[1435] The server obtains estimates from multiple renovation companies based on the generated vision of the remodeled house.

[1436] Input: Generated vision of the remodeled area.

[1437] Specific operation: The server sends the renovation vision to multiple renovation contractors and requests estimates based on the renovation contents.

[1438] Output: Estimate information from each renovation contractor.

[1439] Step 4:

[1440] The terminal displays estimate information and a vision for the remodeled home on a user interface.

[1441] Input: The estimate information obtained and the generated vision for the remodel.

[1442] Specific operation: The server organizes the estimate information and design images and sends them to the terminal. The estimate information (price and item details) and the renovation vision are displayed on the user interface.

[1443] Output: The estimate information and vision of the remodel presented to the user.

[1444] Step 5:

[1445] The user selects a renovation plan and generates an electronic contract.

[1446] Input: User selected renovation plan.

[1447] Specific operation: The user selects the plan they like from the presented plans and clicks the "Select" button, which causes the server to automatically generate an electronic contract.

[1448] Output: An automatically generated electronic contract, and the user's digital signature.

[1449] Step 6:

[1450] The server monitors the progress of the renovation process and notifies the user of the progress.

[1451] Input: Progress data for the renovation process.

[1452] What it does: Monitors progress and updates the status as the contractor completes each step. Collects real-time progress updates and sends them to the device.

[1453] Output: Progress information sent to the user's device in real time.

[1454] Step 7:

[1455] The server analyzes surveillance camera footage and detects abnormalities.

[1456] Input: Security camera footage.

[1457] How it works: The server receives video data from surveillance cameras in real time and analyzes the footage using OpenCV. A generative AI model using Keras detects suspicious individuals and abnormal behavior.

[1458] Output: Information about detected anomalies.

[1459] Step 8:

[1460] The server issues an alert when it detects an abnormality.

[1461] Input: Anomaly detection information.

[1462] Specific behavior: If an anomaly is detected, the server will use an alert notification system such as Twilio to send an alert to the user or relevant authorities.

[1463] Output: A warning message.

[1464] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1465] The following describes in detail the embodiments of the present invention. The present invention is a system that provides an efficient and transparent renovation process based on image data of a space to be renovated, and further combines it with an emotion engine that recognizes the user's emotions and reflects them in the renovation plan. This system includes the following main components: a means for inputting image data, a generation AI means, a means for obtaining and presenting estimates, a means for generating an electronic contract, a means for notifying progress information, and an emotion engine that recognizes the user's emotions.

[1466] Users upload images of the space they wish to renovate.

[1467] Users upload photos of the room they wish to renovate to the system from their device (smartphone, tablet, PC, etc.). Using the app or web interface on their device, users can select the target photo and click the "Upload" button to provide the image data to the system.

[1468] The server analyzes the image data and generates a vision of the remodeled home.

[1469] The server receives the uploaded image data and sends it to a cloud-based AI generator. The AI ​​first analyzes the image data to identify the current floor plan, furniture placement, wall color and materials, etc. It then generates a vision for the remodel based on the user's preferences. In doing so, the AI ​​considers styles such as modern, classic, and minimalist to propose the optimal design.

[1470] Examples:

[1471] If a user uploads a photo of their living room, the server analyzes the photo and recognizes the current furniture arrangement, wall color, floor material, etc.

[1472] As a result, the generative AI chooses a modern style and creates a revision that includes new furniture arrangements, wall paint, flooring materials, etc.

[1473] The server gets quotes from multiple renovation contractors

[1474] The server proposes renovation plans to multiple renovation companies based on the generated vision of the renovation. Each company creates an estimate based on the proposal and sends it back to the server. The server stores these estimates in a database.

[1475] Examples:

[1476] The server sends the design of the renovated living room to contractors A, B, and C and obtains quotes from each.

[1477] Contractor A quotes $10,000, Contractor B quotes $12,000, and Contractor C quotes $11,000.

[1478] The terminal displays the estimate information and vision on the user interface.

[1479] The server organizes the collected estimate information and the generated vision of the remodeled house and sends it to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[1480] Examples:

[1481] The device displays an image of the new living room design, along with corresponding quotes (price and item details) from three contractors.

[1482] Recognizing the user's emotional state

[1483] As the user checks the vision for the remodeled home, the device uses emotion recognition sensors such as cameras and microphones to detect the user's emotions in real time, and the emotion engine then determines whether the user is satisfied or anxious.

[1484] Examples:

[1485] If a user looks at the living room design presented and says, "I'd prefer something a little simpler in color than this," the device will determine from the user's voice and facial expression that they are feeling anxious.

[1486] The server modifies the renovation plan based on the user's emotions.

[1487] The server receives the emotion data provided by the emotion engine and automatically modifies the renovation plan based on the user's emotions. For example, if the user feels anxious, the server instructs the generation AI to change the suggested color palette or furniture arrangement.

[1488] Examples:

[1489] The server receives the user's emotional data and instructs the AI ​​to re-optimize the living room design, resulting in a new design with altered color tones.

[1490] The user checks and selects the new renovation plan.

[1491] The terminal displays the revised renovation plan and estimate information on the user interface again, allowing the user to compare and select. The user can check the plans and select the most suitable plan once they are satisfied.

[1492] The server generates electronic contracts and monitors the renovation process.

[1493] The server generates an electronic contract based on the renovation plan selected by the user, and once the user digitally signs it, the renovation contract is officially concluded.The server then monitors the progress of the renovation process and notifies the terminal of progress information each time the contractor completes each step.

[1494] Examples:

[1495] The server receives the progress information and notifies the terminal of the status, such as "Painting of the wall is complete."

[1496] This system allows users to achieve a more satisfying renovation by providing them with a renovation plan that takes their emotions into consideration.

[1497] The processing flow will be explained below.

[1498] Step 1:

[1499] Users take photos of the room they want to renovate and select the photos using the app on their device or the web interface. After selecting, they click the "Upload" button to send the image data to the system.

[1500] Step 2:

[1501] The device sends the image data to a server, which then stores the received image data in cloud storage and sends instructions for analysis to the generative AI system.

[1502] Step 3:

[1503] The AI ​​system on the server analyzes the image data and identifies the current room layout, furniture placement, wall color, and materials. Once the analysis is complete, it generates a vision of what the room will look like after renovation. This vision generation takes into account the style selected by the user (modern, classic, etc.).

[1504] Step 4:

[1505] The server sends the vision of the remodeled house obtained from the generative AI to multiple remodeling contractors and requests quotes from each contractor. The request includes details of the remodeling contents (e.g., new furniture arrangement, wall painting, etc.).

[1506] Step 5:

[1507] Each contractor creates an estimate based on the received renovation plan and sends it back to the server, which collects all estimates and stores them in a database.

[1508] Step 6:

[1509] The server organizes the collected estimate information and the generated vision of the remodeled house and sends this information to the terminal. The terminal displays this information on a user interface, allowing the user to compare the estimate and the vision of the remodeled house.

[1510] Step 7:

[1511] As the user checks the vision for the remodeled home, the device uses emotion recognition sensors such as cameras and microphones to detect the user's emotions in real time, and the emotion engine then determines whether the user is satisfied or anxious.

[1512] Step 8:

[1513] The server receives the emotion data provided by the emotion engine and automatically modifies the renovation plan based on the user's emotions. For example, if the user feels anxious, the server instructs the generation AI to change the suggested color palette or furniture arrangement.

[1514] Step 9:

[1515] The server sends the revised renovation plan to the terminal again, and the terminal displays the new renovation plan and estimate information on the user interface, allowing the user to compare and select again.

[1516] Step 10:

[1517] The user compares the displayed renovation plans with the estimates and selects the most suitable plan. After selecting, the user clicks the "Select" button, and the server generates an electronic contract based on the selected plan.

[1518] Step 11:

[1519] The user then checks the generated electronic contract on the terminal and digitally signs it, officially signing the contract with the renovation contractor.

[1520] Step 12:

[1521] The server provides a project management system to the contractor to monitor the progress of the renovation process. The contractor updates the status as each renovation step (e.g., demolition, installation, finishing, etc.) is completed.

[1522] Step 13:

[1523] The server receives real-time progress information from the contractor, collects the progress status, and sends a notification to the device each time a step is completed, informing the user of the progress of the renovation.

[1524] Example 2

[1525] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1526] In conventional renovation processes, users have to spend a lot of time and effort to come up with a concrete renovation plan. Furthermore, the plan does not take into account the user's emotional changes, resulting in low satisfaction with the final renovation results. Furthermore, obtaining and comparing quotes from renovation contractors is cumbersome, resulting in a lack of efficiency in the entire process. A system that can solve these issues and improve user satisfaction is needed.

[1527] The specification processing by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting image data of a space desired to be renovated, generation AI means for analyzing the input image data and generating a vision of the renovated space, means for obtaining estimates from multiple renovating companies based on the generated vision of the renovated space, means for presenting the obtained estimate information to the user, emotion engine means for recognizing the user's emotional state and revising the renovating plan, means for presenting the revised renovating plan to the user and allowing the user to select it, means for generating an electronic contract based on the renovating plan selected by the user, and means for monitoring the progress of the renovating process and notifying the user of progress information. This enables an efficient and transparent renovating process that takes the user's emotions into consideration.

[1528] "Means for inputting image data of the space you wish to renovate" refers to a method and device that allows a user to use a terminal (smartphone, tablet, PC, etc.) to upload images of the room you wish to renovate to the system.

[1529] "Generative AI means" refers to artificial intelligence technology and related devices that analyze uploaded image data, identify the current floor plan, furniture placement, wall color and material, etc., and then generate a vision of the renovated home based on the user's wishes.

[1530] "Means for obtaining estimates" refers to a method and device for presenting the renovation details to multiple renovation contractors based on the generated vision of the renovation and obtaining estimates from each contractor.

[1531] "Means for presenting acquired estimate information to the user" refers to a method and device for organizing the estimate information acquired from each renovation contractor and displaying it on a user interface so that the user can check it.

[1532] "Emotion engine means" refers to technology and related devices that recognize the user's emotional state (e.g., satisfaction, anxiety, etc.) in real time when the user confirms the vision for the remodeling, and adjusts the remodeling plan based on that information.

[1533] The "means for generating an electronic contract" refers to a system and method for automatically generating an electronic contract based on a renovation plan selected by a user and for the user to digitally sign it.

[1534] "Means for monitoring the progress of the renovation process and notifying the user of progress information" refers to a method and apparatus for monitoring the progress of the renovation in real time and notifying the user of the progress as each process is completed.

[1535] The present invention is a system for efficiently and transparently carrying out the renovation process, and is capable of consistently performing everything from inputting image data to obtaining estimates, presenting renovation plans, and generating contracts. The present invention also incorporates an emotion engine that can recognize the user's emotions in real time and reflect them in the renovation plan. The specific hardware and software configurations and processing procedures for this system are described in detail below.

[1536] The system consists of a terminal for users to input image data of the room they wish to renovate, a generation AI that analyzes and generates the data, a server for obtaining estimate information, a terminal that provides a user interface, an emotion engine that recognizes the user's emotions, and a software module for generating electronic contracts.

[1537] Hardware and software configuration

[1538] 1. Device:

[1539] Internet-connected devices such as smartphones, tablets, and PCs.

[1540] These devices have built-in cameras and microphones, and are capable of capturing image data and collecting audio data.

[1541] 2. Server:

[1542] Use computing resources built on cloud infrastructure.

[1543] Hosts generative AI models and performs data analysis and generation processing on the cloud.

[1544] 3. Generation AI:

[1545] AI model using machine learning algorithms.

[1546] It combines image processing techniques (e.g., computer vision) and natural language processing techniques to generate a vision of what the renovation will look like.

[1547] 4. Emotion Engine:

[1548] It uses voice and facial expression recognition technology to analyze the user's emotions in real time.

[1549] Based on the analysis results, feedback is sent to the generating AI, which then adjusts the renovation plan.

[1550] 5. Software Module:

[1551] Software for integrated management of the entire system.

[1552] Generates electronic contracts and notifies progress information.

[1553] Detailed procedure

[1554] 1. User image data upload:

[1555] Users use an application on their smartphone or PC to take pictures of the room they want to renovate and upload them to the system.

[1556] The device sends the uploaded images to a server on the cloud.

[1557] 2. Image data analysis and post-renovation vision generation:

[1558] The server sends the received image data to the generative AI model.

[1559] The generative AI model analyzes images to identify the current floor plan, furniture placement, wall color, etc., and generates a vision of what the home will look like after renovation.

[1560] The generative AI model takes into account a specified style (e.g., modern, classic, minimalist, etc.) and suggests the best design.

[1561] Examples:

[1562] When a user uploads a photo of their living room to the system, the server sends the photo to a generative AI model.

[1563] A generative AI model analyzes photos and generates modern living room designs.

[1564] Example prompt sentence:

[1565] "User has uploaded a picture of their living room and expressed a preference for a minimalist style. Analyze the current room layout and provide a new room design that features minimalist elements."

[1566] 3. Obtaining and Presenting Quotes:

[1567] Based on the generated vision of the remodeled home, the server proposes remodeling plans to multiple remodeling contractors and obtains estimates.

[1568] The acquired quotation data is organized and presented to the user through a user interface.

[1569] The user compares the displayed quote information and selects the appropriate plan.

[1570] Examples:

[1571] The server sends a request for quotation to three vendors (A, B, and C) and receives a quotation from each.

[1572] The server organizes the quote information and sends it to the terminal.

[1573] The terminal displays quote information on the user interface, allowing the user to compare and consider options.

[1574] 4. Emotional engine regulation:

[1575] The device uses a camera and microphone to recognize the user's emotional state in real time as they check the vision for the renovated home.

[1576] The emotion engine analyzes the user's emotions from their facial expressions and voice and sends that information to the server.

[1577] Based on the emotional data, the server instructs the generating AI to adjust the renovation plan.

[1578] Examples:

[1579] If the user shows an anxious expression and says, "I want it to be a little simpler," the device collects that emotional data.

[1580] The server issues new instructions to the generation AI and regenerates the renovation plan based on the emotion data.

[1581] 5. Electronic contract generation and progress notification:

[1582] The server generates an electronic contract based on the renovation plan selected by the user and prompts the user to digitally sign it.

[1583] Once the renovation process begins, the server monitors progress information in real time and notifies the user's terminal of the completion information for each process.

[1584] This allows users to use the optimal renovation plan that takes their feelings into consideration and experience an efficient and transparent renovation process.

[1585] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1586] Step 1:

[1587] Users upload images of the room they wish to renovate from their device to the system. They use the app on their device or the web interface to select the desired photo and click the "Upload" button. The input is the image file of the room taken by the user. The device then sends this image file to a server on the cloud. The output is the image data received by the server.

[1588] Specific behavior:

[1589] A user uploads a photo of their living room using a smartphone app.

[1590] The device sends the photo data to the server.

[1591] Step 2:

[1592] The server sends the received image data to the generative AI model. The input at this time is the image data sent to the server in step 1. The generative AI model analyzes the image and identifies the floor plan, furniture placement, decorative elements, etc. The results of this analysis become the output of the generative AI model.

[1593] Specific behavior:

[1594] The server sends image data from the living room to the generative AI model.

[1595] The generative AI model analyzes the image and recognizes the current furniture arrangement and room layout.

[1596] Step 3:

[1597] The generative AI model generates a vision of the remodeled home based on the analysis results and the user's desired style. The inputs are the image analysis results and the user's desired style (e.g., modern, classic). The output is the design details of the remodeled home.

[1598] Specific behavior:

[1599] A generative AI model generates a new design for a living room based on the user's "modern style" preferences.

[1600] The generated vision is stored on the cloud.

[1601] Step 4:

[1602] Based on the generated vision of the remodeled house, the server proposes the remodeling contents to multiple remodeling companies and obtains estimates. The input is the generated vision of the remodeled house, and the output is the estimate data returned by each company. The server stores these estimates in a database.

[1603] Specific behavior:

[1604] The server sends the vision for the remodeled house to contractors A, B, and C.

[1605] The server receives quotes from Vendor A for $10,000, Vendor B for $12,000, and Vendor C for $11,000.

[1606] The obtained quotation information is saved in the database.

[1607] Step 5:

[1608] The server organizes the collected estimate information and the generated vision of the remodeled house and sends it to the terminal. The input is the saved estimate information and the vision of the remodeled house, and the output is the information displayed on the user interface. The terminal displays this information, allowing the user to compare the estimate and the vision of the remodeled house.

[1609] Specific behavior:

[1610] The server organizes the estimate information and renovation vision and sends them to the terminal.

[1611] The terminal displays this information on the user interface.

[1612] Step 6:

[1613] When the user checks the vision of the renovation, the device detects the user's emotions in real time using emotion recognition sensors such as cameras and microphones. The input is the user's facial expression data and voice data, which the emotion engine analyzes and outputs as the user's emotional state.

[1614] Specific behavior:

[1615] While looking at the living room design presented to the user, the user says, "I'd prefer something a little simpler in color than this."

[1616] The device recognizes the user's emotions from their voice and facial expressions, and the emotion engine analyzes them.

[1617] Step 7:

[1618] The server receives the emotion data from the emotion engine and automatically modifies the renovation plan based on the user's emotion. The inputs are the emotion data from the emotion engine and the original renovation vision, and the modified renovation plan is output.

[1619] Specific behavior:

[1620] The server receives the emotion data and issues instructions to the generating AI again.

[1621] A generative AI model generates a new renovation plan with adjusted color tones.

[1622] Step 8:

[1623] The terminal displays the revised renovation plan and estimate information again on the user interface, allowing the user to compare and select. The input is the revised renovation plan and estimate information, and the output is screen information that the user can check. The user checks the plans and selects the most suitable one.

[1624] Specific behavior:

[1625] The terminal displays the revised renovation plan and estimate information on the user interface.

[1626] The user reviews the plans and chooses the one that best suits them.

[1627] Step 9:

[1628] The server generates an electronic contract based on the renovation plan selected by the user and prompts the user to sign it digitally. The input is the selected renovation plan and the user's digital signature information, and the output is a formal renovation contract. The server then monitors the renovation process and notifies the terminal of progress information.

[1629] Specific behavior:

[1630] The server generates the electronic contract.

[1631] The user digitally signs the document and the contract is concluded.

[1632] The server monitors the progress of the renovation and notifies the terminal of the completion information for each process.

[1633] The above-described processing flow allows the user to efficiently and transparently create an optimal renovation plan that reflects their own feelings.

[1634] (Application example 2)

[1635] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1636] In the conventional renovation process, there was a lack of means to confirm whether the user was satisfied with the proposed plan, making it particularly difficult to propose an optimal renovation plan that reflected the user's emotions. Furthermore, in the immediacy-demanding environment of a physical store, it was difficult to make proposals that reflected the customer's emotions in real time, which was one of the factors that reduced customer satisfaction. Furthermore, there was insufficient guarantee that estimates and contract procedures were carried out quickly and transparently, which left users' concerns and questions unresolved.

[1637] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting image data of a space desired to be renovated, generation AI means for analyzing the input image data and generating a vision of the renovated space, means for obtaining estimates from multiple renovating contractors based on the generated vision of the renovated space, means for presenting the obtained estimate information to the user, means for generating an electronic contract based on the renovating plan selected by the user, means for monitoring the progress of the renovating process and notifying the user of progress information, means for recognizing the user's emotional state, and means for modifying the renovating plan based on the recognized emotion. This makes it possible to propose an optimal renovating plan that reflects the user's emotions and to make the renovating process more transparent and faster.

[1638] "Means for inputting image data of the space that the user wishes to renovate" refers to hardware or software that allows the user to upload image data of the space that the user wishes to renovate into the system.

[1639] "Generative AI means" refers to a means that uses artificial intelligence technology to analyze input image data and generate a vision of the space after renovation.

[1640] "Means for obtaining estimates" refers to software and communication technology for obtaining estimates from multiple renovation contractors based on the generated vision of the remodeled home.

[1641] The "means for presenting estimate information to the user" refers to a system including a user interface for presenting the acquired estimate information to the user in an easy-to-understand manner.

[1642] "Means for generating an electronic contract" refers to a means for automatically generating a digital contract based on the renovation plan selected by the user, and saving and submitting it in a format that can be electronically signed.

[1643] "Means for monitoring progress and notifying progress information" refers to a system for monitoring the progress of the renovation process in real time and notifying the user of progress information for each step.

[1644] "Means for recognizing the user's emotional state" refers to technology that uses sensors such as cameras and microphones to recognize the user's emotional state regarding the vision of the renovated home that they have confirmed.

[1645] "Means for modifying home improvement plans based on emotions" refers to algorithms and techniques for automatically adapting and modifying proposed home improvement plans based on recognized user emotion data.

[1646] The following describes in detail the embodiments of the present invention. The present invention is a system for realizing renovation proposals, particularly in brick-and-mortar stores, and generates renovation plans that take the user's emotions into consideration. Specific embodiments of the invention will be described based on the main components and their operations shown below.

[1647] First, the user takes an image of the space they wish to renovate using their smartphone camera, or imports an existing photo into the device. The image data is then uploaded through the device's application and sent to the server. The server analyzes this image data and generates a vision of the renovated space using a generative AI tool. This is done using prompts that reflect the user's desired style and requests. Examples of prompts are as follows:

[1648] Current layout and furniture: The walls are white and the floors are wooden. The desired renovation style is classic. The overall atmosphere is calm.

[1649] Next, the server obtains estimates from multiple remodeling contractors based on the generated vision of the remodeled home. This estimate information is sent from the server to the user's device and displayed on the user interface. Here, the user can check and compare the presented remodeling plan and estimate information.

[1650] Next, when the user checks the renovation plan, the device's camera and microphone are used to capture the user's facial expressions and voice, recognizing their emotional state in real time. The emotion engine analyzes this data and determines whether the user is satisfied or anxious. For example, if the user says, "This color seems a little too flashy," the device will recognize that the user is anxious.

[1651] The server modifies the renovation plan based on the recognized emotion data. The data provided by the emotion engine sends new prompts to the generation AI, which then generates a new vision. In this way, the optimal renovation plan that reflects the user's emotions is provided.

[1652] Finally, the server generates an electronic contract based on the renovation plan selected by the user, and the official renovation contract is concluded when the user digitally signs it.The progress of the renovation process is then monitored, and progress information is sent to the terminal each time the contractor completes a step.

[1653] This system allows users to achieve a more satisfying renovation by providing them with a renovation plan that takes their emotions into consideration. It also makes the renovation process more transparent and quicker, improving the user experience in physical stores.

[1654] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1655] Step 1:

[1656] Users take images of the space they wish to renovate on their device, or import existing photos, and upload them to the server through the device's application. The input data is in the form of an image file, and the output is image data transferred to the server.

[1657] Step 2:

[1658] The server analyzes the uploaded image data. This analysis uses image analysis software such as OpenCV to extract features such as the current floor plan, furniture placement, and wall color and material. The input is image data, and the output is analyzed structural data.

[1659] Step 3:

[1660] The server sends a prompt to the generation AI based on the analysis results to generate a vision of the remodeled home. For example, OpenAI GPT-3 is used as the generation AI, and a prompt is given to generate a text version of the vision of the remodeled home. The input is the analyzed structure data and the prompt, and the output is the text version of the vision of the remodeled home.

[1661] Step 4:

[1662] The server requests quotes from multiple renovation companies based on the generated vision of the finished house. Each company creates a quote based on the renovation details and sends it back to the server. The input is the vision text of the finished house, and the output is the quote data from each company.

[1663] Step 5:

[1664] The server organizes the acquired quotation information and sends it to the terminal through the user interface. The user can check and compare this information on the terminal. The input is quotation data, and the output is the data displayed on the user interface.

[1665] Step 6:

[1666] The device uses a camera and microphone to recognize the user's emotional state in real time as they check the vision and estimate for the renovation. The input is the user's facial expression and voice data, and the output is emotional state data.

[1667] Step 7:

[1668] The server receives the emotional state data provided by the emotion engine and modifies the renovation plan based on the emotion. It then sends a new prompt to the generation AI, which then generates a new vision of the renovation. The input is the emotional state data and the initial renovation vision, and the output is the modified renovation vision.

[1669] Step 8:

[1670] The user then rechecks the revised renovation plan and estimate information and selects the most appropriate plan. The input is the revised renovation vision and estimate data, and the output is the selected renovation plan.

[1671] Step 9:

[1672] The server generates an electronic contract based on the selected renovation plan and prompts the user to digitally sign it. Once the user digitally signs, the renovation contract is officially concluded. The input is the selected renovation plan, and the output is the electronic contract.

[1673] Step 10:

[1674] The server monitors the progress of the renovation process and notifies the user of progress information for each step. The input is renovation progress data, and the output is progress notification messages.

[1675] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1676] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1677] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1678] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1679] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1680] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1681] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1682] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1683] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1684] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1685] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1686] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1687] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1688] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1689] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1690] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1691] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1692] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1693] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1694] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1695] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1696] The following is further disclosed regarding the above embodiment.

[1697] (Claim 1)

[1698] A means to input image data of the space you wish to renovate;

[1699] A generation AI means that analyzes input image data and generates a vision of the area after renovation;

[1700] A way to obtain quotes from multiple renovation contractors based on the generated vision of the renovation,

[1701] means for presenting the acquired estimate information to a user;

[1702] A means for generating an electronic contract based on a renovation plan selected by a user;

[1703] a means for monitoring the progress of the renovation process and notifying the user of progress information;

[1704] A system including:

[1705] (Claim 2)

[1706] The system according to claim 1, further comprising means for uploading image data of a space that a user wishes to renovate from a terminal and transmitting the image data to a server.

[1707] (Claim 3)

[1708] The system of claim 1, further comprising means for displaying the acquired estimate information and the generated vision of the remodeled house on a user interface.

[1709] "Example 1"

[1710] (Claim 1)

[1711] A means for uploading image data of the space the user wishes to renovate from the terminal and transmitting the image data to the server;

[1712] A generation AI means in which the server analyzes the input image data and generates a vision of the area after renovation;

[1713] A way to obtain quotes from multiple renovation contractors based on the generated vision of the re...

Claims

1. A means to input image data of the space you wish to renovate; A generation AI means that analyzes input image data and generates a vision of the area after renovation; A way to obtain quotes from multiple renovation contractors based on the generated vision of the renovation, means for presenting the acquired estimate information to a user; A means for generating an electronic contract based on a renovation plan selected by a user; a means for monitoring the progress of the renovation process and notifying the user of progress information; A system including:

2. 2. The system according to claim 1, further comprising means for uploading image data of a space that a user wishes to remodel from a terminal and transmitting the image data to a server.

3. The system according to claim 1, further comprising means for displaying the acquired estimate information and the generated vision of the remodeled house on a user interface.

Images