system

Abstract

Provide a system. A means for users to input the concept of goods; The server then passes the concept to an AI model to generate an image. a means for the server to present the generated image to the user and confirm purchase intent; a means for receiving the user's purchase decision; a means for the server to send the generated image to an official merchandise manufacturer to initiate the manufacturing process; A means for delivering manufactured goods to users; A system including:

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] Currently, many fans continue to purchase unofficial merchandise rather than from official websites or official stores. This has led to problems such as copyright issues and the proliferation of counterfeit goods. Fans purchase unofficial merchandise because they want designs and items that are not officially available, but purchasing unofficial merchandise encourages illegal activity and causes losses for the rights holders. To resolve this situation, a system is needed that can officially provide the merchandise that fans want. [Means for solving the problem]

[0005] The present invention relates to a system in which a user inputs a concept for a product and an AI model generates an image based on the concept. Specifically, the system includes the following means:

[0006] 1. A means for users to input their merchandise concepts.

[0007] 2. A means for the server to pass the concept to an AI model to generate an image.

[0008] 3. A means for the server to present the generated image to the user and confirm purchase intent from the user.

[0009] 4. A means by which the server receives the user's purchase intent.

[0010] 5. A means by which the server sends the generated images to the official merchandise manufacturer to begin the manufacturing process.

[0011] 6. The means by which the manufactured goods will be delivered to the user.

[0012] This allows users to officially obtain the goods they want, and solves the problems of copyright and counterfeit goods. In addition, the server will ask users to check the generated image to determine their intention to purchase, and will provide users with a means to notify them of the progress of the manufacturing process and the delivery status of the goods, thereby improving service to users.

[0013] "User" refers to an individual or organization who uses the system to input a concept for merchandise, check the generated image, and purchase the merchandise.

[0014] "Terminal" refers to a device used by a user, including, for example, a personal computer, smartphone, tablet, etc.

[0015] The "server" refers to the computer system that receives information from users, passes concepts to an AI model to generate images, presents the generated images to users, and manages the purchasing process.

[0016] "Concept" refers to text information that outlines the design or idea of ​​the goods the user wants.

[0017] An "AI model" refers to an artificial intelligence algorithm that generates images based on concepts entered by the user.

[0018] "Image" refers to the visual designs and iconography generated by an AI model.

[0019] "Official merchandise manufacturer" refers to a company or organization that, with permission from the rights holder, produces actual merchandise based on the generated image.

[0020] "Manufacturing Process" refers to the series of steps taken by the Official Merchandise Manufacturer to produce actual merchandise based on the Generated Image.

[0021] "Delivery" refers to the transportation of manufactured goods to the address specified by the user.

[0022] "Purchase intent" refers to the user's willingness to actually purchase the goods associated with the image after viewing the generated image. [Brief explanation of the drawings]

[0023] [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 illustrating 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

[0024] 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.

[0025] First, the terms used in the following description will be explained.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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."

[0031] [First embodiment]

[0032] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0033] 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.

[0034] 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).

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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."

[0044] The present invention is a system in which a user inputs a concept for merchandise using a terminal, a server generates an image based on the concept using an AI model, the generated image is presented to the user to confirm purchase intention, and the merchandise is manufactured and delivered by an official merchandise manufacturer. Specific embodiments of the present invention are described below.

[0045] 1. User concept input:

[0046] Users use a terminal to input the concept of the goods they want into a special input form. For example, users can input a specific idea such as "original postcards of idols."

[0047] 2. Image generation:

[0048] The server receives the concept entered by the user and sends it to the AI ​​model, which then generates a specific image based on the concept. For example, the server passes the concept "original idol postcard" to the AI ​​model, and generates a design image for a postcard featuring a specific idol.

[0049] 3. Image presentation and confirmation:

[0050] The server presents the generated image to the user. The device displays the image on the screen and asks the user, "Do you want to purchase the goods with this image?" The user confirms their intention to purchase by selecting "Yes" or "No."

[0051] 4. Purchase decision:

[0052] If the user decides to purchase and selects "Yes," the terminal sends the information to the server, which then accepts the purchase reservation and proceeds with the process.

[0053] 5. Start of merchandise production:

[0054] The server sends the generated image along with the user's purchase information to the official merchandise manufacturer, who then starts the production process based on the received information, for example, starting the production of postcards.

[0055] 6. Delivery:

[0056] Once the goods are manufactured, they will be sent to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it. For example, the user will receive an email saying, "The postcard has been sent."

[0057] This system can officially provide the custom goods that users desire, preventing copyright infringement and the rampant spread of counterfeit goods through the sale of unofficial goods. In addition, by using AI, it is possible to quickly generate a variety of merchandise images, allowing for flexible response to user requests.

[0058] The processing flow will be explained below.

[0059] Step 1:

[0060] The user uses the terminal to input the concept for the goods. The terminal displays an input form, and the user enters the specific idea (e.g., "original postcards for idols") into the form. When the user presses the "Submit" button, the terminal sends the concept information to the server.

[0061] Step 2:

[0062] The server receives the concept sent from the device, passes it to the AI ​​model, and asks it to generate an image.

[0063] Step 3:

[0064] The server receives the image generated by the AI ​​model, which then generates a concrete visual image based on the input concept and returns it to the server.

[0065] Step 4:

[0066] The server sends the generated image to the device, which displays the image to the user, asking "Do you want to purchase the goods with this image?" along with a "Yes" or "No" option.

[0067] Step 5:

[0068] The user selects "Yes" or "No." If the user selects "Yes," the device sends the selection to the server. If the user selects "No," the purchase process is canceled and the user is notified.

[0069] Step 6:

[0070] If the user selects "Yes" and the server receives the information, the server confirms the purchase reservation. The server sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official merchandise manufacturer.

[0071] Step 7:

[0072] The official merchandise manufacturer receives the image and order information sent from the server and starts the manufacturing process. The manufacturer produces merchandise (e.g., postcards) based on the specified design.

[0073] Step 8:

[0074] Once production of the goods is complete, the official goods manufacturer will ship the product to the delivery address specified by the user, and the manufacturer will send a notification of delivery completion to the server.

[0075] Step 9:

[0076] The server receives a delivery completion notification from the manufacturer and notifies the user. The device displays a "Goods have been shipped" message to the user and provides additional delivery tracking information.

[0077] Example 1

[0078] 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."

[0079] Currently, many custom goods manufacturing systems on the market lack the ability to quickly and accurately reflect users' specific requests. Furthermore, copyright infringement and the distribution of counterfeit goods through the sale of unofficial goods are becoming a problem. This makes it difficult for users to obtain the high-quality, accurate custom goods they desire, and also creates disadvantages for legitimate manufacturers.

[0080] 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.

[0081] In this invention, the server includes a means for a user to input a concept, a means for the server to pass the concept to a generative AI model to generate an image, a means for the server to present the generated image to the user and confirm purchase intent, a means for the server to receive the user's purchase intent, a means for the server to send the generated image to a manufacturing department to start the manufacturing process, and a means for the manufactured goods to be delivered to the user. This enables the rapid production and delivery of high-quality custom goods based on the user's specific requests, eliminating the problems of copyright infringement and counterfeit goods caused by unofficial goods.

[0082] "User" refers to any individual or entity that utilizes the System to input a concept for a good and receive the generated image and subsequent product.

[0083] The "server" is a computer system that receives data input by the user, generates an image using a generative AI model, presents it to the user, and then transmits the data to the manufacturing department.

[0084] "Concept" refers to the specific image or theme of the goods that the user wants.

[0085] A "generative AI model" refers to an artificial intelligence model that generates images based on input concepts.

[0086] "Image" refers to the visual data generated by a generative AI model.

[0087] "Manufacturing department" refers to the department or company that actually manufactures goods based on image data sent from the server.

[0088] "Goods" refers to the tangible products ordered and manufactured through this system.

[0089] "Means" refers to a method or device for realizing a specific function or role.

[0090] "Purchase intent" refers to a user's intention to actually purchase goods based on the images presented.

[0091] "Delivery" refers to the logistics process for delivering manufactured goods to the address specified by the user.

[0092] "Notification" refers to information sent from the server to the user informing them of production and delivery status.

[0093] MODE FOR CARRYING OUT THE INVENTION

[0094] The present invention is a system in which a user inputs a concept of a product using a terminal, a server generates an image based on the concept using a generative AI model, the generated image is presented to the user to confirm their purchase intention, and the product is manufactured and delivered by the manufacturing department. Specific embodiments of the present invention are described below.

[0095] System configuration

[0096] The system includes a user terminal, a server, a generative AI model, a manufacturing department, and a delivery system. User terminals include PCs, smartphones, tablets, etc., and are used to access a dedicated web form where users can enter their product concepts. The server receives the data sent by the user, passes it to the generative AI model to generate images, and transmits the information to the manufacturing department and users.

[0097] Hardware and software used

[0098] 1. Device:

[0099] Any device that can connect to the internet, such as a PC, smartphone, or tablet.

[0100] A browser or dedicated application must be installed.

[0101] 2. Server:

[0102] A server with high-performance data processing capabilities.

[0103] Required software includes a database management system (e.g., MySQL®), a web server (e.g., Apache®), and a programming language (e.g., Python) for interacting with the AI ​​model.

[0104] 3. Generative AI Model:

[0105] As an example of a generative AI model, DALL-E from OpenAI (registered trademark) is used.

[0106] Image generation is performed by entering a prompt text through the Python API.

[0107] 4. Manufacturing Department:

[0108] Factories and companies that actually undertake the manufacturing of goods.

[0109] The manufacturing process includes digital printing machines, cutting machines, etc.

[0110] 5. Delivery System:

[0111] A logistics company that delivers manufactured goods to the address specified by the user.

[0112] This also includes tracking and notification systems.

[0113] Processing flow

[0114] 1. User concept input

[0115] Users access a dedicated web form using a PC, smartphone, tablet, or other device and enter the concept of the goods they want, such as a specific idea like "original postcards of an idol."

[0116] 2. Image generation by the server

[0117] The server receives the concept data sent by the user and sends it to the generative AI model as a prompt. An example of a prompt is "Original postcard of an idol." The generative AI model (e.g., OpenAI's DALL-E) generates a specific image based on this prompt.

[0118] 3. Show images to users and confirm purchase intent

[0119] The server receives the generated image data and sends it to the user's terminal. The user's terminal displays the image and presents a confirmation message asking, "Do you want to purchase the goods with this image?" The user inputs their purchase intention by selecting "Yes" or "No."

[0120] 4. Purchase decision and start of production

[0121] If the user selects "Yes," the user terminal sends the information to the server. The server accepts the purchase order and sends the purchase information along with the generated image to the manufacturing department. The manufacturing department starts the manufacturing process based on the received information. For example, it starts printing postcards.

[0122] 5. Delivery of Products

[0123] Once the goods are manufactured, they will be delivered to the address specified by the user. As soon as the server receives the delivery information, it will notify the user. For example, an email will be sent to the user saying, "The postcard has been sent."

[0124] This system enables the rapid production and delivery of high-quality custom goods based on the user's specific requests, eliminating the problems of copyright infringement and counterfeit goods caused by unofficial goods.

[0125] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0126] Step 1:

[0127] The user operates the device to access a dedicated web form, where they input their idea for the product.

[0128] Input: User text input (e.g. "Original postcard of idol").

[0129] Output: User-entered conceptual data.

[0130] Specific operation: The user opens a browser, enters a URL to access a dedicated form, where they enter the concept of the goods they want into the text box.

[0131] Step 2:

[0132] The device sends the user's input data to the server.

[0133] Input: User input data.

[0134] Output: Conceptual data received by the server.

[0135] Specific operation: When the user clicks the "Submit" button, the device sends the entered conceptual data to the server as an HTTPS request.

[0136] Step 3:

[0137] The server sends the received conceptual data to the generative AI model.

[0138] Input: Concept data received by the server.

[0139] Output: The prompt sent to the generative AI model.

[0140] Specific operation: The server sends the received conceptual data as a prompt to the API of the generative AI model.

[0141] Step 4:

[0142] The generative AI model generates an image based on the prompt text and returns the image data to the server.

[0143] Input: The prompt statement.

[0144] Output: The generated image data.

[0145] Specific operation: The generative AI model receives the prompt sentence sent from the server, executes the image generation algorithm based on it, and returns the generated image data to the server.

[0146] Step 5:

[0147] The server transmits the generated image data to the user terminal.

[0148] Input: The generated image data.

[0149] Output: Image data displayed on the user's device.

[0150] Specific operation: The server packages the generated image data and sends it to the user's device as an HTTPS response.

[0151] Step 6:

[0152] The device displays the image to the user and displays a message confirming purchase intent.

[0153] Input: The generated image data.

[0154] Output: The displayed image and a confirmation message.

[0155] What it does: The device displays the image on the screen and pops up a message saying, "Do you want to buy merchandise with this image?"

[0156] Step 7:

[0157] The user selects "Yes" or "No" and enters the answer.

[0158] Input: User's choice (Yes or No).

[0159] Output: User selection data.

[0160] What happens: The user clicks a "Yes" or "No" button.

[0161] Step 8:

[0162] The terminal transmits the user's selection data to the server.

[0163] Input: User selected data.

[0164] Output: The selection data received by the server.

[0165] Specific operation: The device sends the user's selection data to the server as an HTTPS request.

[0166] Step 9:

[0167] If the server receives "yes," it sends the purchasing information along with the image data to the manufacturing department.

[0168] Input: User's selection data ("Yes") and image data.

[0169] Output: Production instruction data sent to the manufacturing department.

[0170] Specific operation: The server sends the user's "Yes" selection and image data to the manufacturing department's system.

[0171] Step 10:

[0172] The manufacturing department starts the manufacturing process.

[0173] Input: Manufacturing instruction data.

[0174] Output: Produced item.

[0175] Specific operation: The manufacturing department actually produces items such as postcards based on the instruction data received.

[0176] Step 11:

[0177] The completed product is delivered to the user.

[0178] Input: Produced goods and delivery information.

[0179] Output: Goods delivered to the user.

[0180] Specific operation: The manufacturing department packs the finished goods and hands them over to a delivery company for delivery to the address specified by the user.

[0181] Step 12:

[0182] The server notifies the user of the delivery information.

[0183] Input: Shipping information.

[0184] Output: Shipping information notified to the user.

[0185] Specific operation: The server receives delivery information from the delivery company and sends an email or app notification to the user stating that "the postcard has been sent."

[0186] (Application example 1)

[0187] 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."

[0188] Conventional merchandise manufacturing systems make it difficult to produce the custom merchandise users desire and to quickly respond to their design needs. They also face the challenges of copyright infringement and the proliferation of counterfeit goods due to the sale of unofficial merchandise. Furthermore, insufficient communication between users and manufacturers and a lack of transparency regarding the manufacturing process and delivery status make it difficult to increase user satisfaction.

[0189] 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.

[0190] In this invention, the server includes a means for a user to input a concept for an item, a means for the server to pass the concept to a generative AI model to generate an image, a means for the server to present the generated image to the user and confirm purchase intent, a means for the server to receive the user's purchase decision, a means for the server to send the generated image to a production facility to start the production process, a means for the server to deliver the produced item to the user, and a means for the server to install the produced item in a smartphone, smart glasses, head-mounted display, or robot. This allows for the rapid provision of custom goods desired by users, curbs the sale of unofficial goods, and ensures transparency in the manufacturing process and delivery status.

[0191] "User" refers to an individual or organization who uses the system to input the concept of an item and wishes to purchase goods.

[0192] "Item concept" refers to the idea or description of the design and features of the desired item that the user inputs into the system.

[0193] "Generative AI model" refers to an artificial intelligence technology that generates specific images based on the concept of an input item.

[0194] "Server" refers to a computing system that has the means to receive input from a user, pass it to a generative AI model, present the generated image to the user, and then transmit that information to a production organization.

[0195] "Image" refers to a concrete visual representation of an item concept generated by a generative AI model.

[0196] "Production organization" refers to an organization or facility that manufactures goods based on images transmitted from the server.

[0197] "Production process" refers to the series of steps that initiate and complete the manufacture of an item in a production facility.

[0198] "Delivery" refers to the transportation service for delivering manufactured goods to the address specified by the User.

[0199] A "smartphone" refers to a mobile phone that has communication capabilities and is capable of multiple operations.

[0200] "Smart glasses" refers to a glasses-type device that has the functions of displaying information, operating, and communicating.

[0201] A "head-mounted display" refers to a display device worn on the head.

[0202] "Robot" refers to a mechanical device that operates automatically or by remote control.

[0203] This invention is a system that allows users to input the concept of the item they want using a smartphone, smart glasses, head-mounted display, or robot, and a generative AI model generates a concrete image based on that concept, confirms the user's purchase intention, and officially manufactures and delivers customized goods.

[0204] System Overview

[0205] 1. User concept input:

[0206] Users use a device (smartphone, smart glasses, head-mounted display, or robot) to enter the concept of the goods they want into a dedicated input form.

[0207] For example, enter a specific idea such as "original postcards of idols."

[0208] 2. Image generation:

[0209] The server sends the user's inputted concept to a generative AI model, which generates a concrete image.

[0210] For example, the server passes the concept of "original idol postcard" to a generative AI model, which generates a design image of a postcard featuring a specific idol.

[0211] 3. Image presentation and confirmation:

[0212] The server presents the generated image to the user.

[0213] The device displays the image on the screen and asks the user, "Do you want to purchase the goods with this image?" The user can then select "Yes" or "No."

[0214] 4. Purchase decision:

[0215] If the user decides to make a purchase and selects "Yes," the device sends the information to the server.

[0216] The server accepts the purchase reservation based on this information and proceeds with the process.

[0217] 5. Start of merchandise production:

[0218] The server sends the generated image and the user's purchase information to the production facility to start the production process.

[0219] For example, production of postcards begins.

[0220] 6. Delivery:

[0221] Once production is complete, the goods will be delivered from the production facility to the address specified by the user.

[0222] Once the server receives the delivery information, it will notify the user.

[0223] For example, an email is sent to the user saying, "Your postcard has been sent."

[0224] Hardware and software used

[0225] Hardware:

[0226] Smartphone

[0227] Smart Glasses

[0228] head-mounted display

[0229] robot

[0230] software:

[0231] Flask (Python framework)

[0232] requests (HTTP request library)

[0233] Generative AI model running on a server

[0234] Examples and prompts

[0235] Specific examples of concept input

[0236] The user opens the app on their smartphone and types in "original idol postcard."

[0237] Examples of prompt statements

[0238] To the generative AI model:

[0239] Please generate an image of an "original idol postcard." Please create a design featuring a specific idol.

[0240] The explanation shows how a simple sentence entered by a user is transformed into a concrete image, and then the process of transforming that image into a physical item. This system allows users to quickly obtain the custom goods they want, while also helping to curb the sale of unofficial goods.

[0241] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0242] Step 1:

[0243] The user uses the terminal to input the concept of the item they want. The terminal receives this as text in a special input form. The input at this stage is text in which the user describes the specific design and features of the goods (for example, "original postcards of idols").

[0244] Step 2:

[0245] The device sends the concept of the item entered by the user to the server, which receives this text data and sends it to the generative AI model. The server then passes the input string data to the generative AI model in an appropriate format, prompting it to generate an image.

[0246] Step 3:

[0247] The server uses a generative AI model to generate an image based on the concept of the submitted item. The generative AI model analyzes the input text and generates appropriate image data accordingly. The output data is a specific visual representation (image file) based on the user's request.

[0248] Step 4:

[0249] The server sends the generated image to the terminal, which then presents it to the user. The terminal displays the generated image on the screen and simultaneously displays a confirmation message asking, "Do you want to purchase the goods with this image?" The input at this stage is the generated image file and the confirmation message, and the output is what is presented to the user's eyes.

[0250] Step 5:

[0251] The user uses the terminal to view the generated image and select "yes" or "no." The terminal receives the user's selection and sends that information to the server. The input is the user's selection ("yes" or "no"), and the output is to pass this selection information to the server.

[0252] Step 6:

[0253] If the user selects "Yes," the server sends the generated image and the user's purchase information to the production organization to start the production process. The server passes this information to the production organization in an appropriate format and sends production instruction data. The input is the user's confirmation information and the generated image, and the output is the production instruction.

[0254] Step 7:

[0255] Once production is complete, the goods are delivered from the production facility to the address specified by the user. As soon as the server receives the delivery information, it notifies the user of that information. The server then sends a delivery completion notification to the user via email or app notification. The input is the delivery completion information, and the output is a notification to the user.

[0256] 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.

[0257] The present invention is a system in which a user inputs a concept for merchandise using a terminal, a server generates an image based on the concept using an AI model, the generated image is presented to the user to confirm purchase intention, and the merchandise is manufactured and delivered by an official merchandise manufacturer. Specific embodiments of the present invention are described below.

[0258] 1. User concept input:

[0259] Users use the device to input the concept of the goods they want into a special input form. The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice as they input, identifying their emotions. For example, when a user inputs the specific idea of ​​"original postcards of idols," the emotion engine analyzes the user's emotions and recognizes their level of joy and excitement.

[0260] 2. Image generation:

[0261] The server receives the concept entered by the user and sends it to the AI ​​model. The AI ​​model generates a specific image based on the concept and the user's emotional state analyzed by the emotion engine. For example, if the server passes the concept of "original idol postcard" and the user's strong feelings of joy to the AI ​​model, it will generate a postcard design featuring the idol's cheerful expression.

[0262] 3. Image presentation and confirmation:

[0263] The server sends the generated image to the device, which displays it on the screen and asks, "Do you want to purchase the item with this image?" along with the option to choose "Yes" or "No." The emotion engine also analyzes the user's emotions at this point, and if the user shows signs of doubt or hesitation, for example, additional explanations or options are displayed.

[0264] 4. Purchase decision:

[0265] The user selects "Yes" and confirms the purchase. The device sends the information to the server, which confirms the purchase reservation. The server then sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official merchandise manufacturer.

[0266] 5. Start of merchandise production:

[0267] The server sends the generated image along with the user's order information to the official merchandise manufacturer, who then starts the production process based on the received information, for example, starting the production of postcards.

[0268] 6. Delivery:

[0269] Once production is complete, the official merchandise manufacturer will deliver the merchandise to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it. For example, the user may receive a message saying "The postcard has been sent," and the emotion engine can also obtain sensor data to reconfirm the user's joy.

[0270] This system can officially provide users with the custom goods they desire, preventing copyright infringement and the proliferation of counterfeit goods through the sale of unofficial goods. Furthermore, the use of AI makes it possible to quickly generate a variety of merchandise images, allowing for flexible responses to user requests. Furthermore, by combining it with an emotion engine, it becomes possible to provide a more personalized service that takes into account the user's emotional state.

[0271] The processing flow will be explained below.

[0272] Step 1:

[0273] The user uses the device to input the concept for the merchandise. The device then displays an input form, into which the user enters their specific idea (e.g., "original postcards for idols"). As they input their idea, the device's built-in emotion engine analyzes their facial expressions and tone of voice to identify their emotions. When the user presses the "send" button, the device sends the concept information and emotion data to the server.

[0274] Step 2:

[0275] The server receives the concept and emotion data sent from the device. The server then sends the received concept and emotion data to the AI ​​model and asks it to generate an image. For example, if a user requests an "idol-themed postcard" and the emotion engine detects strong joy, the server passes that information to the AI ​​model.

[0276] Step 3:

[0277] The server receives the image generated by the AI ​​model. The AI ​​model generates a specific image based on the input concept and emotion data. The AI ​​model generates an image that combines visual elements related to the concept with color tones and design elements that match the user's emotion. The server then sends this image to the device.

[0278] Step 4:

[0279] The device displays the image on the screen and asks, "Do you want to buy the merchandise with this image?" along with the option to choose "Yes" or "No." The emotion engine continues to analyze the user's emotions at this point, and if the user looks skeptical or confused, for example, it displays additional explanations or options.

[0280] Step 5:

[0281] The user selects "Yes" or "No." If the user selects "Yes," the device sends the selection to the server. If the user selects "No," the purchase process is canceled and the device notifies the user.

[0282] Step 6:

[0283] If the user selects "Yes" and the server receives the information, the server confirms the purchase reservation. The server sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official goods manufacturer. For example, let's say one "original idol postcard" is ordered.

[0284] Step 7:

[0285] The official merchandise manufacturer receives the image and order information sent from the server and begins the manufacturing process. The manufacturer begins producing merchandise (e.g., postcards) based on the specified design.

[0286] Step 8:

[0287] Once production of the goods is complete, the official goods manufacturer will ship the product to the delivery address specified by the user, and the manufacturer will send a notification of delivery completion to the server.

[0288] Step 9:

[0289] The server receives a delivery completion notification from the manufacturer and notifies the user. The device displays a message to the user saying "The goods have been shipped." The emotion engine can acquire sensor data to reconfirm the user's joy. For example, the user's facial expression and tone of voice when receiving the delivery notification can be analyzed to measure their satisfaction.

[0290] The system can analyze users' emotional state in real time and provide services accordingly, improving the user experience.

[0291] Example 2

[0292] 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."

[0293] In recent years, user demand for customized goods has increased, but it is difficult to quickly provide products that reflect users' specific requests and emotions. Furthermore, since it is not possible to grasp the manufacturing process or delivery status of the customized goods desired by users, increasing user satisfaction is a challenge. Furthermore, copyright infringement and the rampant proliferation of counterfeit goods due to the sale of unofficial goods are also problems.

[0294] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0295] In this invention, the server includes a means for the user to input a concept for a product, a means for an emotion analysis module installed in the terminal to identify the user's emotional state, and a means for the server to pass the concept and emotional state to an AI model to generate an image. This enables the rapid provision of customized products that reflect the user's specific requests and emotions. Furthermore, by notifying users of the progress of the manufacturing process and the delivery status of the product, user satisfaction can be improved. Furthermore, by providing products from official manufacturers, problems such as piracy and counterfeit goods can be prevented.

[0296] A "concept" is a specific idea or image of the goods the user wishes to create.

[0297] An "emotion analysis module" is software or hardware that analyzes a user's facial expressions and tone of voice to identify their emotional state.

[0298] An "AI model" uses artificial intelligence to generate concrete images based on concepts and emotional states provided by the user.

[0299] A "server" is a computer system that receives data from users, issues instructions to the AI ​​model, stores and manages generated images, and performs other various processes.

[0300] A "user" is an individual or group who uses this system to input a concept for a product, check the image, and ultimately decide whether to purchase it.

[0301] "Terminal" refers to a device (e.g., smartphone, tablet, PC, etc.) that a user uses to access and operate the system.

[0302] "Official Manufacturer" means a certified manufacturer with the right to manufacture and distribute merchandise based on an image generated at a user's request.

[0303] The "manufacturing process" refers to a series of steps by which the official manufacturer specifically produces goods based on the order information from the user.

[0304] "Delivery" refers to the logistical process of delivering completed goods from the official manufacturer to the location specified by the user.

[0305] This invention is a system in which a user inputs a concept for a product using a terminal, a server generates an image based on that concept using an AI model, presents the generated image to the user to confirm their purchase intention, and the product is manufactured and delivered by an official manufacturer. Specific embodiments of this system are described below.

[0306] 1. User concept input

[0307] Users use the device to input the concept of the goods they want into a special input form. The device is equipped with an emotion analysis module that analyzes the user's facial expressions and tone of voice as they input information to identify their emotions. For example, when a user inputs the specific idea of ​​"original postcards of idols," the emotion analysis module recognizes the user's level of joy and excitement.

[0308] 2. Image generation

[0309] The server receives the concept entered by the user and the user's emotional state analyzed by the emotion analysis module, and sends it to the AI ​​model. The AI ​​model generates a specific image based on this information. For example, if the server passes the concept of "idol-themed postcards" and the user's strong feelings of joy to the AI ​​model, it will generate a postcard design featuring the idol's cheerful expression.

[0310] 3. Image presentation and confirmation

[0311] The server sends the generated image to the device, which displays it on the screen. The device then presents the user with a confirmation message asking, "Do you want to purchase the item with this image?" along with the options "Yes" and "No." At this point, the emotion analysis module also analyzes the user's emotions, and if the user shows signs of doubt or hesitation, additional explanations or options are displayed.

[0312] 4. Purchase decision

[0313] The user selects "Yes" and confirms the purchase. The device sends the information to the server, which confirms the purchase reservation. The server then sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official manufacturer.

[0314] 5. Start of merchandise production

[0315] The server sends the generated image and the user's order information to the official manufacturer, who then starts the production process, for example, starting the production of postcards.

[0316] 6. Delivery

[0317] Once production is complete, the goods will be delivered by the official manufacturer to the delivery address specified by the user. As soon as the server receives the delivery information, it will notify the user of the information. For example, the user may receive a message saying "The postcard has been sent," and the emotion analysis module will also collect sensor data to reconfirm the user's joy.

[0318] This allows for the rapid delivery of custom goods that reflect users' specific desires and emotions, and prevents the problems of piracy and counterfeit goods by providing products from official manufacturers.

[0319] Examples and prompts

[0320] Specific examples

[0321] 1. User concept input

[0322] The user types, "I want an original postcard of my idol," and the emotion analysis module analyzes the user's state of excitement and sends it to the server.

[0323] 2. The server sends the prompt to the AI ​​model

[0324] The server sends the prompt "Idol's original postcard, 90% joy, 10% excitement" to the AI ​​model, which then generates a postcard design with a bright expression.

[0325] 3. Present the image to the user

[0326] The generated image is displayed on the device, and a confirmation message appears asking, "Do you want to purchase goods with this image?" The user selects "Yes," and the purchase information is sent to the server.

[0327] Prompt Sentence Examples

[0328] Prompt: Original postcard from idol, 90% joy, 10% excitement

[0329] Through the above process, custom goods based on user input and emotions are quickly generated, and then manufactured and delivered by official manufacturers.

[0330] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0331] Step 1:

[0332] Displaying the concept input form

[0333] The device displays a dedicated input form to the user, and when the user begins to type, the device captures the user's facial expressions and tone of voice in real time and sends the data to an emotion analysis module.

[0334] Input: A concept of the product the user desires.

[0335] Output: Concept input data and captured sentiment data.

[0336] Step 2:

[0337] User input capture and sentiment analysis

[0338] Once the user has finished entering the concept for the merchandise into the device's input form, the device's emotion analysis module analyzes the user's facial expressions and tone of voice and converts their emotional state into numerical data.

[0339] Input: User-entered concepts and captured sentiment data.

[0340] Output: Concept data and numerical data of the analyzed emotional state.

[0341] Step 3:

[0342] Sending Concept and Emotion Data

[0343] The terminal transmits the concept data input by the user and the numerical data of the emotional state obtained from the emotion analysis module to the server.

[0344] Input: Concept data and numerical data of emotional states.

[0345] Output: The data sent to the server.

[0346] Step 4:

[0347] Prompt generation and sending to AI model

[0348] The server converts the received concept data and numerical data on emotional states into a prompt format and sends it to the generative AI model. For example, it might be in the form of "Idol's original postcard, 90% joy, 10% excitement." The AI ​​model generates a specific image based on this prompt.

[0349] Input: Concept data, numerical data of emotional states.

[0350] Output: Data in the form of a prompt: "Idol's original postcard, 90% joy, 10% excitement."

[0351] Step 5:

[0352] Image generation

[0353] The generative AI model generates a specific image based on the prompt and returns the image data to the server.

[0354] Input: Prompt data.

[0355] Output: The generated image data.

[0356] Step 6:

[0357] Receiving and Sending Images

[0358] The server receives the generated image data and sends it to the user's terminal.

[0359] Input: The generated image data.

[0360] Output: A message containing the image data.

[0361] Step 7:

[0362] Image presentation and confirmation

[0363] The device displays the generated image on the screen and offers the option of "Yes" or "No" along with a confirmation message asking, "Do you want to purchase the merchandise with this image?" The emotion analysis module again analyzes the user's facial expressions and displays additional explanations or options if there are any doubts or hesitations.

[0364] Input: Image data and real-time user emotion data.

[0365] Output: Confirmation messages and choices displayed on the screen.

[0366] Step 8:

[0367] Acquiring purchase intent

[0368] The user selects "Yes" to indicate their intention to purchase, and the device sends that information to the server.

[0369] Input: User's choice (Yes or No).

[0370] Output: Purchase intention data.

[0371] Step 9:

[0372] Sending purchase information

[0373] Based on the purchase intention data received by the server, the generated image and the user's order information (e.g., quantity, delivery address) are sent to the official manufacturer.

[0374] Input: Purchase intent data, generated images, order information.

[0375] Output: Data sent to the official manufacturer.

[0376] Step 10:

[0377] Beginning of the manufacturing process

[0378] The official manufacturer will then start the production process based on the received data, for example, starting a production line for postcards.

[0379] Input: Data sent to official manufacturer.

[0380] Output: The manufacturing process started.

[0381] Step 11:

[0382] Manufacturing Progression and Monitoring

[0383] The server periodically obtains production progress information from the goods manufacturer and notifies the user as necessary.

[0384] Input: Manufacturing progress data.

[0385] Output: The message that is displayed to the user.

[0386] Step 12:

[0387] Notification of product completion and delivery status

[0388] Once the goods are manufactured, they will be delivered to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it.

[0389] Input: Shipping information.

[0390] Output: Notification message "Your postcard has been sent."

[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] Conventional custom goods production systems have difficulty generating personalized designs that take user emotions into account, making it difficult to improve user satisfaction. It has also been difficult to accurately determine the user's purchasing intentions regarding the generated designs.

[0394] The identification process by the identification 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 a means for the user to input a concept for a product, a means for the server to pass the concept to an AI model to generate an image, and a means for analyzing the user's emotions using an emotion analysis engine. This makes it possible to generate designs that take the user's emotions into consideration and to accurately determine purchasing intentions.

[0395] A "user" is a person who uses the system to input a concept for a product, check the generated image, and decide to purchase it.

[0396] "Goods concept" refers to the idea or theme of the customized product desired by the user.

[0397] "Input means" refers to the interfaces or devices that allow users to input concepts into the system.

[0398] The "server" is a computer system that processes data received from users, passes it to the AI ​​model to generate images, and manages the entire process.

[0399] An "AI model" refers to an algorithm or system that uses artificial intelligence to generate specific images based on user input and the results of emotional analysis.

[0400] "Image" refers to a generated image that visually reflects the user's concept.

[0401] "Emotion analysis engine" refers to a software or hardware configuration that analyzes a user's facial expressions and tone of voice to identify their emotional state.

[0402] "Means for confirming purchase intent" refers to an interface or process that allows a user to determine whether they wish to purchase the generated image.

[0403] "Means for receiving purchase decisions" refers to the process or interface by which the system formally confirms a user's intent to purchase.

[0404] "Official Manufacturer" refers to the authorized producer or vendor of actual merchandise based on the generated image.

[0405] "Manufacturing Process" refers to the series of operations and steps that an official manufacturer takes to produce goods based on a user's order.

[0406] "Means of delivery" refers to the logistics and delivery system used to deliver manufactured goods to users.

[0407] This invention is a system that supports a series of processes, from a user inputting a concept for a product, to an AI model generating an image based on that concept and the user's emotions, to the user confirming the image and making a purchase decision. The embodiments of the present invention are described in detail below.

[0408] Overall system configuration

[0409] This system mainly includes a terminal that provides the user interface, a server that processes data, an emotion analysis engine, and a generative AI model. The terminal is assumed to be a smartphone or tablet, and the server is preferably a cloud server.

[0410] User concept input

[0411] The user uses a device to input the concept of the product they want into an input form. At this time, the emotion analysis engine analyzes the user's facial expressions and tone of voice to identify their emotions. This emotional data is then used by AI to generate images.

[0412] Image generation

[0413] 1. The device sends the concept and emotion data entered by the user to the server.

[0414] 2. The server passes this data to a generative AI model, which generates a specific image. The generated image reflects the user's emotions. For example, if the user expresses "joy," a fun-looking product will be suggested.

[0415] Image presentation and purchase confirmation

[0416] The generated image is sent to the device and displayed to the user. A confirmation message such as "Do you want to purchase merchandise with this image?" is displayed, offering the options "Yes" and "No." The user's emotions at this time are also analyzed by the emotion analysis engine and sent to the server along with the "Yes" or "No" input.

[0417] Beginning of the manufacturing process

[0418] Once the user confirms their purchase, the server sends the order information along with the generated image to the official manufacturer, who then starts the manufacturing process, for example, producing a T-shirt or postcard with the design the user wants.

[0419] Delivery

[0420] Once production is complete, the goods are delivered by the official manufacturer to the address specified by the user. As soon as the server receives the delivery information, it notifies the user that the goods have been shipped. At this time, the emotion analysis engine can obtain sensor data to confirm the user's level of joy.

[0421] Examples and prompts

[0422] For example, if a user requests a "sunny design for a custom T-shirt," the emotion analysis engine will detect "joy, excitement" and send the following prompt to the generative AI model:

[0423] User concept: "Sunny design for original T-shirt"

[0424] Emotion: "Joy, excitement"

[0425] Use this concept and emotion to generate a bright and fun t-shirt design.

[0426] This system allows custom goods to be quickly and accurately generated that reflect the user's specific desires and emotions, significantly improving user satisfaction.

[0427] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0428] Step 1:

[0429] The user uses the device to input the concept of the goods they want into a special input form, at which point the device's built-in emotion analysis engine analyzes the user's facial expressions and tone of voice to collect emotional data.

[0430] Input: Concept of the goods (e.g., "Sunny design on an original T-shirt"), user's facial expression and tone of voice

[0431] Output: Concept data, emotion data

[0432] Step 2:

[0433] The terminal transmits the concept data and emotion data input by the user to the server.

[0434] Input: Concept data, emotion data

[0435] Output: Data sent to the server

[0436] Step 3:

[0437] The server sends the received concept data and emotion data to a generative AI model to generate a concrete image.

[0438] The server generates a prompt based on this data.

[0439] Input: Concept data, emotion data

[0440] Output: Generated image, prompt (e.g., "Generate a bright and fun T-shirt design based on this concept and emotion.")

[0441] Step 4:

[0442] The server sends the generated image to the terminal and presents it to the user. It also displays a message asking "Do you want to purchase goods with this image?" and offers the options "Yes" and "No."

[0443] Input: The generated image, a confirmation message to display to the user

[0444] Output: Image displayed to the user, confirmation message

[0445] Step 5:

[0446] The device receives the user's "yes" or "no" input and sends the result along with emotion data to the server.

[0447] Input: "Yes" or "No" input, emotion data

[0448] Output: Purchase intent data sent to the server

[0449] Step 6:

[0450] The server determines the user's purchase intent, and if yes, sends the generated image and order information to the official manufacturer to start the manufacturing process.

[0451] Input: Purchase intent data, generated images

[0452] Output: Order information to official manufacturer, start of manufacturing process

[0453] Step 7:

[0454] The official manufacturer completes the manufacturing process and delivers the finished goods. The server receives the delivery information and notifies the user.

[0455] Input:Shipping information

[0456] Output: Delivery notification to user

[0457] 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.

[0458] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0459] 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.

[0460] [Second embodiment]

[0461] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0462] 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.

[0463] 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).

[0464] 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.

[0465] 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.

[0466] 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).

[0467] 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.

[0468] 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.

[0469] 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.

[0470] 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.

[0471] 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.

[0472] 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."

[0473] The present invention is a system in which a user inputs a concept for merchandise using a terminal, a server generates an image based on the concept using an AI model, the generated image is presented to the user to confirm purchase intention, and the merchandise is manufactured and delivered by an official merchandise manufacturer. Specific embodiments of the present invention are described below.

[0474] 1. User concept input:

[0475] Users use a terminal to input the concept of the goods they want into a special input form. For example, users can input a specific idea such as "original postcards of idols."

[0476] 2. Image generation:

[0477] The server receives the concept entered by the user and sends it to the AI ​​model, which then generates a specific image based on the concept. For example, the server passes the concept "original idol postcard" to the AI ​​model, and generates a design image for a postcard featuring a specific idol.

[0478] 3. Image presentation and confirmation:

[0479] The server presents the generated image to the user. The device displays the image on the screen and asks the user, "Do you want to purchase the goods with this image?" The user confirms their intention to purchase by selecting "Yes" or "No."

[0480] 4. Purchase decision:

[0481] If the user decides to purchase and selects "Yes," the terminal sends the information to the server, which then accepts the purchase reservation and proceeds with the process.

[0482] 5. Start of merchandise production:

[0483] The server sends the generated image along with the user's purchase information to the official merchandise manufacturer, who then starts the production process based on the received information, for example, starting the production of postcards.

[0484] 6. Delivery:

[0485] Once the goods are manufactured, they will be sent to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it. For example, the user will receive an email saying, "The postcard has been sent."

[0486] This system can officially provide the custom goods that users desire, preventing copyright infringement and the rampant spread of counterfeit goods through the sale of unofficial goods. In addition, by using AI, it is possible to quickly generate a variety of merchandise images, allowing for flexible response to user requests.

[0487] The processing flow will be explained below.

[0488] Step 1:

[0489] The user uses the terminal to input the concept for the goods. The terminal displays an input form, and the user enters the specific idea (e.g., "original postcards for idols") into the form. When the user presses the "Submit" button, the terminal sends the concept information to the server.

[0490] Step 2:

[0491] The server receives the concept sent from the device, passes it to the AI ​​model, and asks it to generate an image.

[0492] Step 3:

[0493] The server receives the image generated by the AI ​​model, which then generates a concrete visual image based on the input concept and returns it to the server.

[0494] Step 4:

[0495] The server sends the generated image to the device, which displays the image to the user, asking "Do you want to purchase the goods with this image?" along with a "Yes" or "No" option.

[0496] Step 5:

[0497] The user selects "Yes" or "No." If the user selects "Yes," the device sends the selection to the server. If the user selects "No," the purchase process is canceled and the user is notified.

[0498] Step 6:

[0499] If the user selects "Yes" and the server receives the information, the server confirms the purchase reservation. The server sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official merchandise manufacturer.

[0500] Step 7:

[0501] The official merchandise manufacturer receives the image and order information sent from the server and starts the manufacturing process. The manufacturer produces merchandise (e.g., postcards) based on the specified design.

[0502] Step 8:

[0503] Once production of the goods is complete, the official goods manufacturer will ship the product to the delivery address specified by the user, and the manufacturer will send a notification of delivery completion to the server.

[0504] Step 9:

[0505] The server receives a delivery completion notification from the manufacturer and notifies the user. The device displays a "Goods have been shipped" message to the user and provides additional delivery tracking information.

[0506] Example 1

[0507] 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."

[0508] Currently, many custom goods manufacturing systems on the market lack the ability to quickly and accurately reflect users' specific requests. Furthermore, copyright infringement and the distribution of counterfeit goods through the sale of unofficial goods are becoming a problem. This makes it difficult for users to obtain the high-quality, accurate custom goods they desire, and also creates disadvantages for legitimate manufacturers.

[0509] 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.

[0510] In this invention, the server includes a means for a user to input a concept, a means for the server to pass the concept to a generative AI model to generate an image, a means for the server to present the generated image to the user and confirm purchase intent, a means for the server to receive the user's purchase intent, a means for the server to send the generated image to a manufacturing department to start the manufacturing process, and a means for the manufactured goods to be delivered to the user. This enables the rapid production and delivery of high-quality custom goods based on the user's specific requests, eliminating the problems of copyright infringement and counterfeit goods caused by unofficial goods.

[0511] "User" refers to any individual or entity that utilizes the System to input a concept for a good and receive the generated image and subsequent product.

[0512] The "server" is a computer system that receives data input by the user, generates an image using a generative AI model, presents it to the user, and then transmits the data to the manufacturing department.

[0513] "Concept" refers to the specific image or theme of the goods that the user wants.

[0514] A "generative AI model" refers to an artificial intelligence model that generates images based on input concepts.

[0515] "Image" refers to the visual data generated by a generative AI model.

[0516] "Manufacturing department" refers to the department or company that actually manufactures goods based on image data sent from the server.

[0517] "Goods" refers to the tangible products ordered and manufactured through this system.

[0518] "Means" refers to a method or device for realizing a specific function or role.

[0519] "Purchase intent" refers to a user's intention to actually purchase goods based on the images presented.

[0520] "Delivery" refers to the logistics process for delivering manufactured goods to the address specified by the user.

[0521] "Notification" refers to information sent from the server to the user informing them of production and delivery status.

[0522] MODE FOR CARRYING OUT THE INVENTION

[0523] The present invention is a system in which a user inputs a concept of a product using a terminal, a server generates an image based on the concept using a generative AI model, the generated image is presented to the user to confirm their purchase intention, and the product is manufactured and delivered by the manufacturing department. Specific embodiments of the present invention are described below.

[0524] System configuration

[0525] The system includes a user terminal, a server, a generative AI model, a manufacturing department, and a delivery system. User terminals include PCs, smartphones, tablets, etc., and are used to access a dedicated web form where users can enter their product concepts. The server receives the data sent by the user, passes it to the generative AI model to generate images, and transmits the information to the manufacturing department and users.

[0526] Hardware and software used

[0527] 1. Device:

[0528] Any device that can connect to the internet, such as a PC, smartphone, or tablet.

[0529] A browser or dedicated application must be installed.

[0530] 2. Server:

[0531] A server with high-performance data processing capabilities.

[0532] Required software includes a database management system (e.g., MySQL), a web server (e.g., Apache), and a programming language (e.g., Python) for interacting with the AI ​​model.

[0533] 3. Generative AI Model:

[0534] As an example of a generative AI model, OpenAI's DALL-E is used.

[0535] Image generation is performed by entering a prompt text through the Python API.

[0536] 4. Manufacturing Department:

[0537] Factories and companies that actually undertake the manufacturing of goods.

[0538] The manufacturing process includes digital printing machines, cutting machines, etc.

[0539] 5. Delivery System:

[0540] A logistics company that delivers manufactured goods to the address specified by the user.

[0541] This also includes tracking and notification systems.

[0542] Processing flow

[0543] 1. User concept input

[0544] Users access a dedicated web form using a PC, smartphone, tablet, or other device and enter the concept of the goods they want, such as a specific idea like "original postcards of an idol."

[0545] 2. Image generation by the server

[0546] The server receives the concept data sent by the user and sends it to the generative AI model as a prompt. An example of a prompt is "Original postcard of an idol." The generative AI model (e.g., OpenAI's DALL-E) generates a specific image based on this prompt.

[0547] 3. Show images to users and confirm purchase intent

[0548] The server receives the generated image data and sends it to the user's terminal. The user's terminal displays the image and presents a confirmation message asking, "Do you want to purchase the goods with this image?" The user inputs their purchase intention by selecting "Yes" or "No."

[0549] 4. Purchase decision and start of production

[0550] If the user selects "Yes," the user terminal sends the information to the server. The server accepts the purchase order and sends the purchase information along with the generated image to the manufacturing department. The manufacturing department starts the manufacturing process based on the received information. For example, it starts printing postcards.

[0551] 5. Delivery of Products

[0552] Once the goods are manufactured, they will be delivered to the address specified by the user. As soon as the server receives the delivery information, it will notify the user. For example, an email will be sent to the user saying, "The postcard has been sent."

[0553] This system enables the rapid production and delivery of high-quality custom goods based on the user's specific requests, eliminating the problems of copyright infringement and counterfeit goods caused by unofficial goods.

[0554] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0555] Step 1:

[0556] The user operates the device to access a dedicated web form, where they input their idea for the product.

[0557] Input: User text input (e.g. "Original postcard of idol").

[0558] Output: User-entered conceptual data.

[0559] Specific operation: The user opens a browser, enters a URL to access a dedicated form, where they enter the concept of the goods they want into the text box.

[0560] Step 2:

[0561] The device sends the user's input data to the server.

[0562] Input: User input data.

[0563] Output: Conceptual data received by the server.

[0564] Specific operation: When the user clicks the "Submit" button, the device sends the entered conceptual data to the server as an HTTPS request.

[0565] Step 3:

[0566] The server sends the received conceptual data to the generative AI model.

[0567] Input: Concept data received by the server.

[0568] Output: The prompt sent to the generative AI model.

[0569] Specific operation: The server sends the received conceptual data as a prompt to the API of the generative AI model.

[0570] Step 4:

[0571] The generative AI model generates an image based on the prompt text and returns the image data to the server.

[0572] Input: The prompt statement.

[0573] Output: The generated image data.

[0574] Specific operation: The generative AI model receives the prompt sentence sent from the server, executes the image generation algorithm based on it, and returns the generated image data to the server.

[0575] Step 5:

[0576] The server transmits the generated image data to the user terminal.

[0577] Input: The generated image data.

[0578] Output: Image data displayed on the user's device.

[0579] Specific operation: The server packages the generated image data and sends it to the user's device as an HTTPS response.

[0580] Step 6:

[0581] The device displays the image to the user and displays a message confirming purchase intent.

[0582] Input: The generated image data.

[0583] Output: The displayed image and a confirmation message.

[0584] What it does: The device displays the image on the screen and pops up a message saying, "Do you want to buy merchandise with this image?"

[0585] Step 7:

[0586] The user selects "Yes" or "No" and enters the answer.

[0587] Input: User's choice (Yes or No).

[0588] Output: User selection data.

[0589] What happens: The user clicks a "Yes" or "No" button.

[0590] Step 8:

[0591] The terminal transmits the user's selection data to the server.

[0592] Input: User selected data.

[0593] Output: The selection data received by the server.

[0594] Specific operation: The device sends the user's selection data to the server as an HTTPS request.

[0595] Step 9:

[0596] If the server receives "yes," it sends the purchasing information along with the image data to the manufacturing department.

[0597] Input: User's selection data ("Yes") and image data.

[0598] Output: Production instruction data sent to the manufacturing department.

[0599] Specific operation: The server sends the user's "Yes" selection and image data to the manufacturing department's system.

[0600] Step 10:

[0601] The manufacturing department starts the manufacturing process.

[0602] Input: Manufacturing instruction data.

[0603] Output: Produced item.

[0604] Specific operation: The manufacturing department actually produces items such as postcards based on the instruction data received.

[0605] Step 11:

[0606] The completed product is delivered to the user.

[0607] Input: Produced goods and delivery information.

[0608] Output: Goods delivered to the user.

[0609] Specific operation: The manufacturing department packs the finished goods and hands them over to a delivery company for delivery to the address specified by the user.

[0610] Step 12:

[0611] The server notifies the user of the delivery information.

[0612] Input: Shipping information.

[0613] Output: Shipping information notified to the user.

[0614] Specific operation: The server receives delivery information from the delivery company and sends an email or app notification to the user stating that "the postcard has been sent."

[0615] (Application example 1)

[0616] 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."

[0617] Conventional merchandise manufacturing systems make it difficult to produce the custom merchandise users desire and to quickly respond to their design needs. They also face the challenges of copyright infringement and the proliferation of counterfeit goods due to the sale of unofficial merchandise. Furthermore, insufficient communication between users and manufacturers and a lack of transparency regarding the manufacturing process and delivery status make it difficult to increase user satisfaction.

[0618] 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.

[0619] In this invention, the server includes a means for a user to input a concept for an item, a means for the server to pass the concept to a generative AI model to generate an image, a means for the server to present the generated image to the user and confirm purchase intent, a means for the server to receive the user's purchase decision, a means for the server to send the generated image to a production facility to start the production process, a means for the server to deliver the produced item to the user, and a means for the server to install the produced item in a smartphone, smart glasses, head-mounted display, or robot. This allows for the rapid provision of custom goods desired by users, curbs the sale of unofficial goods, and ensures transparency in the manufacturing process and delivery status.

[0620] "User" refers to an individual or organization who uses the system to input the concept of an item and wishes to purchase goods.

[0621] "Item concept" refers to the idea or description of the design and features of the desired item that the user inputs into the system.

[0622] "Generative AI model" refers to an artificial intelligence technology that generates specific images based on the concept of an input item.

[0623] "Server" refers to a computing system that has the means to receive input from a user, pass it to a generative AI model, present the generated image to the user, and then transmit that information to a production organization.

[0624] "Image" refers to a concrete visual representation of an item concept generated by a generative AI model.

[0625] "Production organization" refers to an organization or facility that manufactures goods based on images transmitted from the server.

[0626] "Production process" refers to the series of steps that initiate and complete the manufacture of an item in a production facility.

[0627] "Delivery" refers to the transportation service for delivering manufactured goods to the address specified by the User.

[0628] A "smartphone" refers to a mobile phone that has communication capabilities and is capable of multiple operations.

[0629] "Smart glasses" refers to a glasses-type device that has the functions of displaying information, operating, and communicating.

[0630] A "head-mounted display" refers to a display device worn on the head.

[0631] "Robot" refers to a mechanical device that operates automatically or by remote control.

[0632] This invention is a system that allows users to input the concept of the item they want using a smartphone, smart glasses, head-mounted display, or robot, and a generative AI model generates a concrete image based on that concept, confirms the user's purchase intention, and officially manufactures and delivers customized goods.

[0633] System Overview

[0634] 1. User concept input:

[0635] Users use a device (smartphone, smart glasses, head-mounted display, or robot) to enter the concept of the goods they want into a dedicated input form.

[0636] For example, enter a specific idea such as "original postcards of idols."

[0637] 2. Image generation:

[0638] The server sends the user's inputted concept to a generative AI model, which generates a concrete image.

[0639] For example, the server passes the concept of "original idol postcard" to a generative AI model, which generates a design image of a postcard featuring a specific idol.

[0640] 3. Image presentation and confirmation:

[0641] The server presents the generated image to the user.

[0642] The device displays the image on the screen and asks the user, "Do you want to purchase the goods with this image?" The user can then select "Yes" or "No."

[0643] 4. Purchase decision:

[0644] If the user decides to make a purchase and selects "Yes," the device sends the information to the server.

[0645] The server accepts the purchase reservation based on this information and proceeds with the process.

[0646] 5. Start of merchandise production:

[0647] The server sends the generated image and the user's purchase information to the production facility to start the production process.

[0648] For example, production of postcards begins.

[0649] 6. Delivery:

[0650] Once production is complete, the goods will be delivered from the production facility to the address specified by the user.

[0651] Once the server receives the delivery information, it will notify the user.

[0652] For example, an email is sent to the user saying, "Your postcard has been sent."

[0653] Hardware and software used

[0654] Hardware:

[0655] Smartphone

[0656] Smart Glasses

[0657] head-mounted display

[0658] robot

[0659] software:

[0660] Flask (Python framework)

[0661] requests (HTTP request library)

[0662] Generative AI model running on a server

[0663] Examples and prompts

[0664] Specific examples of concept input

[0665] The user opens the app on their smartphone and types in "original idol postcard."

[0666] Examples of prompt statements

[0667] To the generative AI model:

[0668] Please generate an image of an "original idol postcard." Please create a design featuring a specific idol.

[0669] The explanation shows how a simple sentence entered by a user is transformed into a concrete image, and then the process of transforming that image into a physical item. This system allows users to quickly obtain the custom goods they want, while also helping to curb the sale of unofficial goods.

[0670] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0671] Step 1:

[0672] The user uses the terminal to input the concept of the item they want. The terminal receives this as text in a special input form. The input at this stage is text in which the user describes the specific design and features of the goods (for example, "original postcards of idols").

[0673] Step 2:

[0674] The device sends the concept of the item entered by the user to the server, which receives this text data and sends it to the generative AI model. The server then passes the input string data to the generative AI model in an appropriate format, prompting it to generate an image.

[0675] Step 3:

[0676] The server uses a generative AI model to generate an image based on the concept of the submitted item. The generative AI model analyzes the input text and generates appropriate image data accordingly. The output data is a specific visual representation (image file) based on the user's request.

[0677] Step 4:

[0678] The server sends the generated image to the terminal, which then presents it to the user. The terminal displays the generated image on the screen and simultaneously displays a confirmation message asking, "Do you want to purchase the goods with this image?" The input at this stage is the generated image file and the confirmation message, and the output is what is presented to the user's eyes.

[0679] Step 5:

[0680] The user uses the terminal to view the generated image and select "yes" or "no." The terminal receives the user's selection and sends that information to the server. The input is the user's selection ("yes" or "no"), and the output is to pass this selection information to the server.

[0681] Step 6:

[0682] If the user selects "Yes," the server sends the generated image and the user's purchase information to the production organization to start the production process. The server passes this information to the production organization in an appropriate format and sends production instruction data. The input is the user's confirmation information and the generated image, and the output is the production instruction.

[0683] Step 7:

[0684] Once production is complete, the goods are delivered from the production facility to the address specified by the user. As soon as the server receives the delivery information, it notifies the user of that information. The server then sends a delivery completion notification to the user via email or app notification. The input is the delivery completion information, and the output is a notification to the user.

[0685] 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.

[0686] The present invention is a system in which a user inputs a concept for merchandise using a terminal, a server generates an image based on the concept using an AI model, the generated image is presented to the user to confirm purchase intention, and the merchandise is manufactured and delivered by an official merchandise manufacturer. Specific embodiments of the present invention are described below.

[0687] 1. User concept input:

[0688] Users use the device to input the concept of the goods they want into a special input form. The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice as they input, identifying their emotions. For example, when a user inputs the specific idea of ​​"original postcards of idols," the emotion engine analyzes the user's emotions and recognizes their level of joy and excitement.

[0689] 2. Image generation:

[0690] The server receives the concept entered by the user and sends it to the AI ​​model. The AI ​​model generates a specific image based on the concept and the user's emotional state analyzed by the emotion engine. For example, if the server passes the concept of "original idol postcard" and the user's strong feelings of joy to the AI ​​model, it will generate a postcard design featuring the idol's cheerful expression.

[0691] 3. Image presentation and confirmation:

[0692] The server sends the generated image to the device, which displays it on the screen and asks, "Do you want to purchase the item with this image?" along with the option to choose "Yes" or "No." The emotion engine also analyzes the user's emotions at this point, and if the user shows signs of doubt or hesitation, for example, additional explanations or options are displayed.

[0693] 4. Purchase decision:

[0694] The user selects "Yes" and confirms the purchase. The device sends the information to the server, which confirms the purchase reservation. The server then sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official merchandise manufacturer.

[0695] 5. Start of merchandise production:

[0696] The server sends the generated image along with the user's order information to the official merchandise manufacturer, who then starts the production process based on the received information, for example, starting the production of postcards.

[0697] 6. Delivery:

[0698] Once production is complete, the official merchandise manufacturer will deliver the merchandise to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it. For example, the user may receive a message saying "The postcard has been sent," and the emotion engine can also obtain sensor data to reconfirm the user's joy.

[0699] This system can officially provide users with the custom goods they desire, preventing copyright infringement and the proliferation of counterfeit goods through the sale of unofficial goods. Furthermore, the use of AI makes it possible to quickly generate a variety of merchandise images, allowing for flexible responses to user requests. Furthermore, by combining it with an emotion engine, it becomes possible to provide a more personalized service that takes into account the user's emotional state.

[0700] The processing flow will be explained below.

[0701] Step 1:

[0702] The user uses the device to input the concept for the merchandise. The device then displays an input form, into which the user enters their specific idea (e.g., "original postcards for idols"). As they input their idea, the device's built-in emotion engine analyzes their facial expressions and tone of voice to identify their emotions. When the user presses the "send" button, the device sends the concept information and emotion data to the server.

[0703] Step 2:

[0704] The server receives the concept and emotion data sent from the device. The server then sends the received concept and emotion data to the AI ​​model and asks it to generate an image. For example, if a user requests an "idol-themed postcard" and the emotion engine detects strong joy, the server passes that information to the AI ​​model.

[0705] Step 3:

[0706] The server receives the image generated by the AI ​​model. The AI ​​model generates a specific image based on the input concept and emotion data. The AI ​​model generates an image that combines visual elements related to the concept with color tones and design elements that match the user's emotion. The server then sends this image to the device.

[0707] Step 4:

[0708] The device displays the image on the screen and asks, "Do you want to buy the merchandise with this image?" along with the option to choose "Yes" or "No." The emotion engine continues to analyze the user's emotions at this point, and if the user looks skeptical or confused, for example, it displays additional explanations or options.

[0709] Step 5:

[0710] The user selects "Yes" or "No." If the user selects "Yes," the device sends the selection to the server. If the user selects "No," the purchase process is canceled and the device notifies the user.

[0711] Step 6:

[0712] If the user selects "Yes" and the server receives the information, the server confirms the purchase reservation. The server sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official goods manufacturer. For example, let's say one "original idol postcard" is ordered.

[0713] Step 7:

[0714] The official merchandise manufacturer receives the image and order information sent from the server and begins the manufacturing process. The manufacturer begins producing merchandise (e.g., postcards) based on the specified design.

[0715] Step 8:

[0716] Once production of the goods is complete, the official goods manufacturer will ship the product to the delivery address specified by the user, and the manufacturer will send a notification of delivery completion to the server.

[0717] Step 9:

[0718] The server receives a delivery completion notification from the manufacturer and notifies the user. The device displays a message to the user saying "The goods have been shipped." The emotion engine can acquire sensor data to reconfirm the user's joy. For example, the user's facial expression and tone of voice when receiving the delivery notification can be analyzed to measure their satisfaction.

[0719] The system can analyze users' emotional state in real time and provide services accordingly, improving the user experience.

[0720] Example 2

[0721] 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."

[0722] In recent years, user demand for customized goods has increased, but it is difficult to quickly provide products that reflect users' specific requests and emotions. Furthermore, since it is not possible to grasp the manufacturing process or delivery status of the customized goods desired by users, increasing user satisfaction is a challenge. Furthermore, copyright infringement and the rampant proliferation of counterfeit goods due to the sale of unofficial goods are also problems.

[0723] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0724] In this invention, the server includes a means for the user to input a concept for a product, a means for an emotion analysis module installed in the terminal to identify the user's emotional state, and a means for the server to pass the concept and emotional state to an AI model to generate an image. This enables the rapid provision of customized products that reflect the user's specific requests and emotions. Furthermore, by notifying users of the progress of the manufacturing process and the delivery status of the product, user satisfaction can be improved. Furthermore, by providing products from official manufacturers, problems such as piracy and counterfeit goods can be prevented.

[0725] A "concept" is a specific idea or image of the goods the user wishes to create.

[0726] An "emotion analysis module" is software or hardware that analyzes a user's facial expressions and tone of voice to identify their emotional state.

[0727] An "AI model" uses artificial intelligence to generate concrete images based on concepts and emotional states provided by the user.

[0728] A "server" is a computer system that receives data from users, issues instructions to the AI ​​model, stores and manages generated images, and performs other various processes.

[0729] A "user" is an individual or group who uses this system to input a concept for a product, check the image, and ultimately decide whether to purchase it.

[0730] "Terminal" refers to a device (e.g., smartphone, tablet, PC, etc.) that a user uses to access and operate the system.

[0731] "Official Manufacturer" means a certified manufacturer with the right to manufacture and distribute merchandise based on an image generated at a user's request.

[0732] The "manufacturing process" refers to a series of steps by which the official manufacturer specifically produces goods based on the order information from the user.

[0733] "Delivery" refers to the logistical process of delivering completed goods from the official manufacturer to the location specified by the user.

[0734] This invention is a system in which a user inputs a concept for a product using a terminal, a server generates an image based on that concept using an AI model, presents the generated image to the user to confirm their purchase intention, and the product is manufactured and delivered by an official manufacturer. Specific embodiments of this system are described below.

[0735] 1. User concept input

[0736] Users use the device to input the concept of the goods they want into a special input form. The device is equipped with an emotion analysis module that analyzes the user's facial expressions and tone of voice as they input information to identify their emotions. For example, when a user inputs the specific idea of ​​"original postcards of idols," the emotion analysis module recognizes the user's level of joy and excitement.

[0737] 2. Image generation

[0738] The server receives the concept entered by the user and the user's emotional state analyzed by the emotion analysis module, and sends it to the AI ​​model. The AI ​​model generates a specific image based on this information. For example, if the server passes the concept of "idol-themed postcards" and the user's strong feelings of joy to the AI ​​model, it will generate a postcard design featuring the idol's cheerful expression.

[0739] 3. Image presentation and confirmation

[0740] The server sends the generated image to the device, which displays it on the screen. The device then presents the user with a confirmation message asking, "Do you want to purchase the item with this image?" along with the options "Yes" and "No." At this point, the emotion analysis module also analyzes the user's emotions, and if the user shows signs of doubt or hesitation, additional explanations or options are displayed.

[0741] 4. Purchase decision

[0742] The user selects "Yes" and confirms the purchase. The device sends the information to the server, which confirms the purchase reservation. The server then sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official manufacturer.

[0743] 5. Start of merchandise production

[0744] The server sends the generated image and the user's order information to the official manufacturer, who then starts the production process, for example, starting the production of postcards.

[0745] 6. Delivery

[0746] Once production is complete, the goods will be delivered by the official manufacturer to the delivery address specified by the user. As soon as the server receives the delivery information, it will notify the user of the information. For example, the user may receive a message saying "The postcard has been sent," and the emotion analysis module will also collect sensor data to reconfirm the user's joy.

[0747] This allows for the rapid delivery of custom goods that reflect users' specific desires and emotions, and prevents the problems of piracy and counterfeit goods by providing products from official manufacturers.

[0748] Examples and prompts

[0749] Specific examples

[0750] 1. User concept input

[0751] The user types, "I want an original postcard of my idol," and the emotion analysis module analyzes the user's state of excitement and sends it to the server.

[0752] 2. The server sends the prompt to the AI ​​model

[0753] The server sends the prompt "Idol's original postcard, 90% joy, 10% excitement" to the AI ​​model, which then generates a postcard design with a bright expression.

[0754] 3. Present the image to the user

[0755] The generated image is displayed on the device, and a confirmation message appears asking, "Do you want to purchase goods with this image?" The user selects "Yes," and the purchase information is sent to the server.

[0756] Prompt Sentence Examples

[0757] Prompt: Original postcard from idol, 90% joy, 10% excitement

[0758] Through the above process, custom goods based on user input and emotions are quickly generated, and then manufactured and delivered by official manufacturers.

[0759] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0760] Step 1:

[0761] Displaying the concept input form

[0762] The device displays a dedicated input form to the user, and when the user begins to type, the device captures the user's facial expressions and tone of voice in real time and sends the data to an emotion analysis module.

[0763] Input: A concept of the product the user desires.

[0764] Output: Concept input data and captured sentiment data.

[0765] Step 2:

[0766] User input capture and sentiment analysis

[0767] Once the user has finished entering the concept for the merchandise into the device's input form, the device's emotion analysis module analyzes the user's facial expressions and tone of voice and converts their emotional state into numerical data.

[0768] Input: User-entered concepts and captured sentiment data.

[0769] Output: Concept data and numerical data of the analyzed emotional state.

[0770] Step 3:

[0771] Sending Concept and Emotion Data

[0772] The terminal transmits the concept data input by the user and the numerical data of the emotional state obtained from the emotion analysis module to the server.

[0773] Input: Concept data and numerical data of emotional states.

[0774] Output: The data sent to the server.

[0775] Step 4:

[0776] Prompt generation and sending to AI model

[0777] The server converts the received concept data and numerical data on emotional states into a prompt format and sends it to the generative AI model. For example, it might be in the form of "Idol's original postcard, 90% joy, 10% excitement." The AI ​​model generates a specific image based on this prompt.

[0778] Input: Concept data, numerical data of emotional states.

[0779] Output: Data in the form of a prompt: "Idol's original postcard, 90% joy, 10% excitement."

[0780] Step 5:

[0781] Image generation

[0782] The generative AI model generates a specific image based on the prompt and returns the image data to the server.

[0783] Input: Prompt data.

[0784] Output: The generated image data.

[0785] Step 6:

[0786] Receiving and Sending Images

[0787] The server receives the generated image data and sends it to the user's terminal.

[0788] Input: The generated image data.

[0789] Output: A message containing the image data.

[0790] Step 7:

[0791] Image presentation and confirmation

[0792] The device displays the generated image on the screen and offers the option of "Yes" or "No" along with a confirmation message asking, "Do you want to purchase the merchandise with this image?" The emotion analysis module again analyzes the user's facial expressions and displays additional explanations or options if there are any doubts or hesitations.

[0793] Input: Image data and real-time user emotion data.

[0794] Output: Confirmation messages and choices displayed on the screen.

[0795] Step 8:

[0796] Acquiring purchase intent

[0797] The user selects "Yes" to indicate their intention to purchase, and the device sends that information to the server.

[0798] Input: User's choice (Yes or No).

[0799] Output: Purchase intention data.

[0800] Step 9:

[0801] Sending purchase information

[0802] Based on the purchase intention data received by the server, the generated image and the user's order information (e.g., quantity, delivery address) are sent to the official manufacturer.

[0803] Input: Purchase intent data, generated images, order information.

[0804] Output: Data sent to the official manufacturer.

[0805] Step 10:

[0806] Beginning of the manufacturing process

[0807] The official manufacturer will then start the production process based on the received data, for example, starting a production line for postcards.

[0808] Input: Data sent to official manufacturer.

[0809] Output: The manufacturing process started.

[0810] Step 11:

[0811] Manufacturing Progression and Monitoring

[0812] The server periodically obtains production progress information from the goods manufacturer and notifies the user as necessary.

[0813] Input: Manufacturing progress data.

[0814] Output: The message that is displayed to the user.

[0815] Step 12:

[0816] Notification of product completion and delivery status

[0817] Once the goods are manufactured, they will be delivered to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it.

[0818] Input: Shipping information.

[0819] Output: Notification message "Your postcard has been sent."

[0820] (Application example 2)

[0821] 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."

[0822] Conventional custom goods production systems have difficulty generating personalized designs that take user emotions into account, making it difficult to improve user satisfaction. It has also been difficult to accurately determine the user's purchasing intentions regarding the generated designs.

[0823] The identification process by the identification 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 a means for the user to input a concept for a product, a means for the server to pass the concept to an AI model to generate an image, and a means for analyzing the user's emotions using an emotion analysis engine. This makes it possible to generate designs that take the user's emotions into consideration and to accurately determine purchasing intentions.

[0824] A "user" is a person who uses the system to input a concept for a product, check the generated image, and decide to purchase it.

[0825] "Goods concept" refers to the idea or theme of the customized product desired by the user.

[0826] "Input means" refers to the interfaces or devices that allow users to input concepts into the system.

[0827] The "server" is a computer system that processes data received from users, passes it to the AI ​​model to generate images, and manages the entire process.

[0828] An "AI model" refers to an algorithm or system that uses artificial intelligence to generate specific images based on user input and the results of emotional analysis.

[0829] "Image" refers to a generated image that visually reflects the user's concept.

[0830] "Emotion analysis engine" refers to a software or hardware configuration that analyzes a user's facial expressions and tone of voice to identify their emotional state.

[0831] "Means for confirming purchase intent" refers to an interface or process that allows a user to determine whether they wish to purchase the generated image.

[0832] "Means for receiving purchase decisions" refers to the process or interface by which the system formally confirms a user's intent to purchase.

[0833] "Official Manufacturer" refers to the authorized producer or vendor of actual merchandise based on the generated image.

[0834] "Manufacturing Process" refers to the series of operations and steps that an official manufacturer takes to produce goods based on a user's order.

[0835] "Means of delivery" refers to the logistics and delivery system used to deliver manufactured goods to users.

[0836] This invention is a system that supports a series of processes, from a user inputting a concept for a product, to an AI model generating an image based on that concept and the user's emotions, to the user confirming the image and making a purchase decision. The embodiments of the present invention are described in detail below.

[0837] Overall system configuration

[0838] This system mainly includes a terminal that provides the user interface, a server that processes data, an emotion analysis engine, and a generative AI model. The terminal is assumed to be a smartphone or tablet, and the server is preferably a cloud server.

[0839] User concept input

[0840] The user uses a device to input the concept of the product they want into an input form. At this time, the emotion analysis engine analyzes the user's facial expressions and tone of voice to identify their emotions. This emotional data is then used by AI to generate images.

[0841] Image generation

[0842] 1. The device sends the concept and emotion data entered by the user to the server.

[0843] 2. The server passes this data to a generative AI model, which generates a specific image. The generated image reflects the user's emotions. For example, if the user expresses "joy," a fun-looking product will be suggested.

[0844] Image presentation and purchase confirmation

[0845] The generated image is sent to the device and displayed to the user. A confirmation message such as "Do you want to purchase merchandise with this image?" is displayed, offering the options "Yes" and "No." The user's emotions at this time are also analyzed by the emotion analysis engine and sent to the server along with the "Yes" or "No" input.

[0846] Beginning of the manufacturing process

[0847] Once the user confirms their purchase, the server sends the order information along with the generated image to the official manufacturer, who then starts the manufacturing process, for example, producing a T-shirt or postcard with the design the user wants.

[0848] Delivery

[0849] Once production is complete, the goods are delivered by the official manufacturer to the address specified by the user. As soon as the server receives the delivery information, it notifies the user that the goods have been shipped. At this time, the emotion analysis engine can obtain sensor data to confirm the user's level of joy.

[0850] Examples and prompts

[0851] For example, if a user requests a "sunny design for a custom T-shirt," the emotion analysis engine will detect "joy, excitement" and send the following prompt to the generative AI model:

[0852] User concept: "Sunny design for original T-shirt"

[0853] Emotion: "Joy, excitement"

[0854] Use this concept and emotion to generate a bright and fun t-shirt design.

[0855] This system allows custom goods to be quickly and accurately generated that reflect the user's specific desires and emotions, significantly improving user satisfaction.

[0856] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0857] Step 1:

[0858] The user uses the device to input the concept of the goods they want into a special input form, at which point the device's built-in emotion analysis engine analyzes the user's facial expressions and tone of voice to collect emotional data.

[0859] Input: Concept of the goods (e.g., "Sunny design on an original T-shirt"), user's facial expression and tone of voice

[0860] Output: Concept data, emotion data

[0861] Step 2:

[0862] The terminal transmits the concept data and emotion data input by the user to the server.

[0863] Input: Concept data, emotion data

[0864] Output: Data sent to the server

[0865] Step 3:

[0866] The server sends the received concept data and emotion data to a generative AI model to generate a concrete image.

[0867] The server generates a prompt based on this data.

[0868] Input: Concept data, emotion data

[0869] Output: Generated image, prompt (e.g., "Generate a bright and fun T-shirt design based on this concept and emotion.")

[0870] Step 4:

[0871] The server sends the generated image to the terminal and presents it to the user. It also displays a message asking "Do you want to purchase goods with this image?" and offers the options "Yes" and "No."

[0872] Input: The generated image, a confirmation message to display to the user

[0873] Output: Image displayed to the user, confirmation message

[0874] Step 5:

[0875] The device receives the user's "yes" or "no" input and sends the result along with emotion data to the server.

[0876] Input: "Yes" or "No" input, emotion data

[0877] Output: Purchase intent data sent to the server

[0878] Step 6:

[0879] The server determines the user's purchase intent, and if yes, sends the generated image and order information to the official manufacturer to start the manufacturing process.

[0880] Input: Purchase intent data, generated images

[0881] Output: Order information to official manufacturer, start of manufacturing process

[0882] Step 7:

[0883] The official manufacturer completes the manufacturing process and delivers the finished goods. The server receives the delivery information and notifies the user.

[0884] Input:Shipping information

[0885] Output: Delivery notification to user

[0886] 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.

[0887] 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.

[0888] 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.

[0889] [Third embodiment]

[0890] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0891] 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.

[0892] 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).

[0893] 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.

[0894] 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.

[0895] 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).

[0896] 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.

[0897] 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.

[0898] 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.

[0899] 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.

[0900] 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.

[0901] 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."

[0902] The present invention is a system in which a user inputs a concept for merchandise using a terminal, a server generates an image based on the concept using an AI model, the generated image is presented to the user to confirm purchase intention, and the merchandise is manufactured and delivered by an official merchandise manufacturer. Specific embodiments of the present invention are described below.

[0903] 1. User concept input:

[0904] Users use a terminal to input the concept of the goods they want into a special input form. For example, users can input a specific idea such as "original postcards of idols."

[0905] 2. Image generation:

[0906] The server receives the concept entered by the user and sends it to the AI ​​model, which then generates a specific image based on the concept. For example, the server passes the concept "original idol postcard" to the AI ​​model, and generates a design image for a postcard featuring a specific idol.

[0907] 3. Image presentation and confirmation:

[0908] The server presents the generated image to the user. The device displays the image on the screen and asks the user, "Do you want to purchase the goods with this image?" The user confirms their intention to purchase by selecting "Yes" or "No."

[0909] 4. Purchase decision:

[0910] If the user decides to purchase and selects "Yes," the terminal sends the information to the server, which then accepts the purchase reservation and proceeds with the process.

[0911] 5. Start of merchandise production:

[0912] The server sends the generated image along with the user's purchase information to the official merchandise manufacturer, who then starts the production process based on the received information, for example, starting the production of postcards.

[0913] 6. Delivery:

[0914] Once the goods are manufactured, they will be sent to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it. For example, the user will receive an email saying, "The postcard has been sent."

[0915] This system can officially provide the custom goods that users desire, preventing copyright infringement and the rampant spread of counterfeit goods through the sale of unofficial goods. In addition, by using AI, it is possible to quickly generate a variety of merchandise images, allowing for flexible response to user requests.

[0916] The processing flow will be explained below.

[0917] Step 1:

[0918] The user uses the terminal to input the concept for the goods. The terminal displays an input form, and the user enters the specific idea (e.g., "original postcards for idols") into the form. When the user presses the "Submit" button, the terminal sends the concept information to the server.

[0919] Step 2:

[0920] The server receives the concept sent from the device, passes it to the AI ​​model, and asks it to generate an image.

[0921] Step 3:

[0922] The server receives the image generated by the AI ​​model, which then generates a concrete visual image based on the input concept and returns it to the server.

[0923] Step 4:

[0924] The server sends the generated image to the device, which displays the image to the user, asking "Do you want to purchase the goods with this image?" along with a "Yes" or "No" option.

[0925] Step 5:

[0926] The user selects "Yes" or "No." If the user selects "Yes," the device sends the selection to the server. If the user selects "No," the purchase process is canceled and the user is notified.

[0927] Step 6:

[0928] If the user selects "Yes" and the server receives the information, the server confirms the purchase reservation. The server sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official merchandise manufacturer.

[0929] Step 7:

[0930] The official merchandise manufacturer receives the image and order information sent from the server and starts the manufacturing process. The manufacturer produces merchandise (e.g., postcards) based on the specified design.

[0931] Step 8:

[0932] Once production of the goods is complete, the official goods manufacturer will ship the product to the delivery address specified by the user, and the manufacturer will send a notification of delivery completion to the server.

[0933] Step 9:

[0934] The server receives a delivery completion notification from the manufacturer and notifies the user. The device displays a "Goods have been shipped" message to the user and provides additional delivery tracking information.

[0935] Example 1

[0936] 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."

[0937] Currently, many custom goods manufacturing systems on the market lack the ability to quickly and accurately reflect users' specific requests. Furthermore, copyright infringement and the distribution of counterfeit goods through the sale of unofficial goods are becoming a problem. This makes it difficult for users to obtain the high-quality, accurate custom goods they desire, and also creates disadvantages for legitimate manufacturers.

[0938] 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.

[0939] In this invention, the server includes a means for a user to input a concept, a means for the server to pass the concept to a generative AI model to generate an image, a means for the server to present the generated image to the user and confirm purchase intent, a means for the server to receive the user's purchase intent, a means for the server to send the generated image to a manufacturing department to start the manufacturing process, and a means for the manufactured goods to be delivered to the user. This enables the rapid production and delivery of high-quality custom goods based on the user's specific requests, eliminating the problems of copyright infringement and counterfeit goods caused by unofficial goods.

[0940] "User" refers to any individual or entity that utilizes the System to input a concept for a good and receive the generated image and subsequent product.

[0941] The "server" is a computer system that receives data input by the user, generates an image using a generative AI model, presents it to the user, and then transmits the data to the manufacturing department.

[0942] "Concept" refers to the specific image or theme of the goods that the user wants.

[0943] A "generative AI model" refers to an artificial intelligence model that generates images based on input concepts.

[0944] "Image" refers to the visual data generated by a generative AI model.

[0945] "Manufacturing department" refers to the department or company that actually manufactures goods based on image data sent from the server.

[0946] "Goods" refers to the tangible products ordered and manufactured through this system.

[0947] "Means" refers to a method or device for realizing a specific function or role.

[0948] "Purchase intent" refers to a user's intention to actually purchase goods based on the images presented.

[0949] "Delivery" refers to the logistics process for delivering manufactured goods to the address specified by the user.

[0950] "Notification" refers to information sent from the server to the user informing them of production and delivery status.

[0951] MODE FOR CARRYING OUT THE INVENTION

[0952] The present invention is a system in which a user inputs a concept of a product using a terminal, a server generates an image based on the concept using a generative AI model, the generated image is presented to the user to confirm their purchase intention, and the product is manufactured and delivered by the manufacturing department. Specific embodiments of the present invention are described below.

[0953] System configuration

[0954] The system includes a user terminal, a server, a generative AI model, a manufacturing department, and a delivery system. User terminals include PCs, smartphones, tablets, etc., and are used to access a dedicated web form where users can enter their product concepts. The server receives the data sent by the user, passes it to the generative AI model to generate images, and transmits the information to the manufacturing department and users.

[0955] Hardware and software used

[0956] 1. Device:

[0957] Any device that can connect to the internet, such as a PC, smartphone, or tablet.

[0958] A browser or dedicated application must be installed.

[0959] 2. Server:

[0960] A server with high-performance data processing capabilities.

[0961] Required software includes a database management system (e.g., MySQL), a web server (e.g., Apache), and a programming language (e.g., Python) for interacting with the AI ​​model.

[0962] 3. Generative AI Model:

[0963] As an example of a generative AI model, OpenAI's DALL-E is used.

[0964] Image generation is performed by entering a prompt text through the Python API.

[0965] 4. Manufacturing Department:

[0966] Factories and companies that actually undertake the manufacturing of goods.

[0967] The manufacturing process includes digital printing machines, cutting machines, etc.

[0968] 5. Delivery System:

[0969] A logistics company that delivers manufactured goods to the address specified by the user.

[0970] This also includes tracking and notification systems.

[0971] Processing flow

[0972] 1. User concept input

[0973] Users access a dedicated web form using a PC, smartphone, tablet, or other device and enter the concept of the goods they want, such as a specific idea like "original postcards of an idol."

[0974] 2. Image generation by the server

[0975] The server receives the concept data sent by the user and sends it to the generative AI model as a prompt. An example of a prompt is "Original postcard of an idol." The generative AI model (e.g., OpenAI's DALL-E) generates a specific image based on this prompt.

[0976] 3. Show images to users and confirm purchase intent

[0977] The server receives the generated image data and sends it to the user's terminal. The user's terminal displays the image and presents a confirmation message asking, "Do you want to purchase the goods with this image?" The user inputs their purchase intention by selecting "Yes" or "No."

[0978] 4. Purchase decision and start of production

[0979] If the user selects "Yes," the user terminal sends the information to the server. The server accepts the purchase order and sends the purchase information along with the generated image to the manufacturing department. The manufacturing department starts the manufacturing process based on the received information. For example, it starts printing postcards.

[0980] 5. Delivery of Products

[0981] Once the goods are manufactured, they will be delivered to the address specified by the user. As soon as the server receives the delivery information, it will notify the user. For example, an email will be sent to the user saying, "The postcard has been sent."

[0982] This system enables the rapid production and delivery of high-quality custom goods based on the user's specific requests, eliminating the problems of copyright infringement and counterfeit goods caused by unofficial goods.

[0983] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0984] Step 1:

[0985] The user operates the device to access a dedicated web form, where they input their idea for the product.

[0986] Input: User text input (e.g. "Original postcard of idol").

[0987] Output: User-entered conceptual data.

[0988] Specific operation: The user opens a browser, enters a URL to access a dedicated form, where they enter the concept of the goods they want into the text box.

[0989] Step 2:

[0990] The device sends the user's input data to the server.

[0991] Input: User input data.

[0992] Output: Conceptual data received by the server.

[0993] Specific operation: When the user clicks the "Submit" button, the device sends the entered conceptual data to the server as an HTTPS request.

[0994] Step 3:

[0995] The server sends the received conceptual data to the generative AI model.

[0996] Input: Concept data received by the server.

[0997] Output: The prompt sent to the generative AI model.

[0998] Specific operation: The server sends the received conceptual data as a prompt to the API of the generative AI model.

[0999] Step 4:

[1000] The generative AI model generates an image based on the prompt text and returns the image data to the server.

[1001] Input: The prompt statement.

[1002] Output: The generated image data.

[1003] Specific operation: The generative AI model receives the prompt sentence sent from the server, executes the image generation algorithm based on it, and returns the generated image data to the server.

[1004] Step 5:

[1005] The server transmits the generated image data to the user terminal.

[1006] Input: The generated image data.

[1007] Output: Image data displayed on the user's device.

[1008] Specific operation: The server packages the generated image data and sends it to the user's device as an HTTPS response.

[1009] Step 6:

[1010] The device displays the image to the user and displays a message confirming purchase intent.

[1011] Input: The generated image data.

[1012] Output: The displayed image and a confirmation message.

[1013] What it does: The device displays the image on the screen and pops up a message saying, "Do you want to buy merchandise with this image?"

[1014] Step 7:

[1015] The user selects "Yes" or "No" and enters the answer.

[1016] Input: User's choice (Yes or No).

[1017] Output: User selection data.

[1018] What happens: The user clicks a "Yes" or "No" button.

[1019] Step 8:

[1020] The terminal transmits the user's selection data to the server.

[1021] Input: User selected data.

[1022] Output: The selection data received by the server.

[1023] Specific operation: The device sends the user's selection data to the server as an HTTPS request.

[1024] Step 9:

[1025] If the server receives "yes," it sends the purchasing information along with the image data to the manufacturing department.

[1026] Input: User's selection data ("Yes") and image data.

[1027] Output: Production instruction data sent to the manufacturing department.

[1028] Specific operation: The server sends the user's "Yes" selection and image data to the manufacturing department's system.

[1029] Step 10:

[1030] The manufacturing department starts the manufacturing process.

[1031] Input: Manufacturing instruction data.

[1032] Output: Produced item.

[1033] Specific operation: The manufacturing department actually produces items such as postcards based on the instruction data received.

[1034] Step 11:

[1035] The completed product is delivered to the user.

[1036] Input: Produced goods and delivery information.

[1037] Output: Goods delivered to the user.

[1038] Specific operation: The manufacturing department packs the finished goods and hands them over to a delivery company for delivery to the address specified by the user.

[1039] Step 12:

[1040] The server notifies the user of the delivery information.

[1041] Input: Shipping information.

[1042] Output: Shipping information notified to the user.

[1043] Specific operation: The server receives delivery information from the delivery company and sends an email or app notification to the user stating that "the postcard has been sent."

[1044] (Application example 1)

[1045] 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."

[1046] Conventional merchandise manufacturing systems make it difficult to produce the custom merchandise users desire and to quickly respond to their design needs. They also face the challenges of copyright infringement and the proliferation of counterfeit goods due to the sale of unofficial merchandise. Furthermore, insufficient communication between users and manufacturers and a lack of transparency regarding the manufacturing process and delivery status make it difficult to increase user satisfaction.

[1047] 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.

[1048] In this invention, the server includes a means for a user to input a concept for an item, a means for the server to pass the concept to a generative AI model to generate an image, a means for the server to present the generated image to the user and confirm purchase intent, a means for the server to receive the user's purchase decision, a means for the server to send the generated image to a production facility to start the production process, a means for the server to deliver the produced item to the user, and a means for the server to install the produced item in a smartphone, smart glasses, head-mounted display, or robot. This allows for the rapid provision of custom goods desired by users, curbs the sale of unofficial goods, and ensures transparency in the manufacturing process and delivery status.

[1049] "User" refers to an individual or organization who uses the system to input the concept of an item and wishes to purchase goods.

[1050] "Item concept" refers to the idea or description of the design and features of the desired item that the user inputs into the system.

[1051] "Generative AI model" refers to an artificial intelligence technology that generates specific images based on the concept of an input item.

[1052] "Server" refers to a computing system that has the means to receive input from a user, pass it to a generative AI model, present the generated image to the user, and then transmit that information to a production organization.

[1053] "Image" refers to a concrete visual representation of an item concept generated by a generative AI model.

[1054] "Production organization" refers to an organization or facility that manufactures goods based on images transmitted from the server.

[1055] "Production process" refers to the series of steps that initiate and complete the manufacture of an item in a production facility.

[1056] "Delivery" refers to the transportation service for delivering manufactured goods to the address specified by the User.

[1057] A "smartphone" refers to a mobile phone that has communication capabilities and is capable of multiple operations.

[1058] "Smart glasses" refers to a glasses-type device that has the functions of displaying information, operating, and communicating.

[1059] A "head-mounted display" refers to a display device worn on the head.

[1060] "Robot" refers to a mechanical device that operates automatically or by remote control.

[1061] This invention is a system that allows users to input the concept of the item they want using a smartphone, smart glasses, head-mounted display, or robot, and a generative AI model generates a concrete image based on that concept, confirms the user's purchase intention, and officially manufactures and delivers customized goods.

[1062] System Overview

[1063] 1. User concept input:

[1064] Users use a device (smartphone, smart glasses, head-mounted display, or robot) to enter the concept of the goods they want into a dedicated input form.

[1065] For example, enter a specific idea such as "original postcards of idols."

[1066] 2. Image generation:

[1067] The server sends the user's inputted concept to a generative AI model, which generates a concrete image.

[1068] For example, the server passes the concept of "original idol postcard" to a generative AI model, which generates a design image of a postcard featuring a specific idol.

[1069] 3. Image presentation and confirmation:

[1070] The server presents the generated image to the user.

[1071] The device displays the image on the screen and asks the user, "Do you want to purchase the goods with this image?" The user can then select "Yes" or "No."

[1072] 4. Purchase decision:

[1073] If the user decides to make a purchase and selects "Yes," the device sends the information to the server.

[1074] The server accepts the purchase reservation based on this information and proceeds with the process.

[1075] 5. Start of merchandise production:

[1076] The server sends the generated image and the user's purchase information to the production facility to start the production process.

[1077] For example, production of postcards begins.

[1078] 6. Delivery:

[1079] Once production is complete, the goods will be delivered from the production facility to the address specified by the user.

[1080] Once the server receives the delivery information, it will notify the user.

[1081] For example, an email is sent to the user saying, "Your postcard has been sent."

[1082] Hardware and software used

[1083] Hardware:

[1084] Smartphone

[1085] Smart Glasses

[1086] head-mounted display

[1087] robot

[1088] software:

[1089] Flask (Python framework)

[1090] requests (HTTP request library)

[1091] Generative AI model running on a server

[1092] Examples and prompts

[1093] Specific examples of concept input

[1094] The user opens the app on their smartphone and types in "original idol postcard."

[1095] Examples of prompt statements

[1096] To the generative AI model:

[1097] Please generate an image of an "original idol postcard." Please create a design featuring a specific idol.

[1098] The explanation shows how a simple sentence entered by a user is transformed into a concrete image, and then the process of transforming that image into a physical item. This system allows users to quickly obtain the custom goods they want, while also helping to curb the sale of unofficial goods.

[1099] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1100] Step 1:

[1101] The user uses the terminal to input the concept of the item they want. The terminal receives this as text in a special input form. The input at this stage is text in which the user describes the specific design and features of the goods (for example, "original postcards of idols").

[1102] Step 2:

[1103] The device sends the concept of the item entered by the user to the server, which receives this text data and sends it to the generative AI model. The server then passes the input string data to the generative AI model in an appropriate format, prompting it to generate an image.

[1104] Step 3:

[1105] The server uses a generative AI model to generate an image based on the concept of the submitted item. The generative AI model analyzes the input text and generates appropriate image data accordingly. The output data is a specific visual representation (image file) based on the user's request.

[1106] Step 4:

[1107] The server sends the generated image to the terminal, which then presents it to the user. The terminal displays the generated image on the screen and simultaneously displays a confirmation message asking, "Do you want to purchase the goods with this image?" The input at this stage is the generated image file and the confirmation message, and the output is what is presented to the user's eyes.

[1108] Step 5:

[1109] The user uses the terminal to view the generated image and select "yes" or "no." The terminal receives the user's selection and sends that information to the server. The input is the user's selection ("yes" or "no"), and the output is to pass this selection information to the server.

[1110] Step 6:

[1111] If the user selects "Yes," the server sends the generated image and the user's purchase information to the production organization to start the production process. The server passes this information to the production organization in an appropriate format and sends production instruction data. The input is the user's confirmation information and the generated image, and the output is the production instruction.

[1112] Step 7:

[1113] Once production is complete, the goods are delivered from the production facility to the address specified by the user. As soon as the server receives the delivery information, it notifies the user of that information. The server then sends a delivery completion notification to the user via email or app notification. The input is the delivery completion information, and the output is a notification to the user.

[1114] 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.

[1115] The present invention is a system in which a user inputs a concept for merchandise using a terminal, a server generates an image based on the concept using an AI model, the generated image is presented to the user to confirm purchase intention, and the merchandise is manufactured and delivered by an official merchandise manufacturer. Specific embodiments of the present invention are described below.

[1116] 1. User concept input:

[1117] Users use the device to input the concept of the goods they want into a special input form. The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice as they input, identifying their emotions. For example, when a user inputs the specific idea of ​​"original postcards of idols," the emotion engine analyzes the user's emotions and recognizes their level of joy and excitement.

[1118] 2. Image generation:

[1119] The server receives the concept entered by the user and sends it to the AI ​​model. The AI ​​model generates a specific image based on the concept and the user's emotional state analyzed by the emotion engine. For example, if the server passes the concept of "original idol postcard" and the user's strong feelings of joy to the AI ​​model, it will generate a postcard design featuring the idol's cheerful expression.

[1120] 3. Image presentation and confirmation:

[1121] The server sends the generated image to the device, which displays it on the screen and asks, "Do you want to purchase the item with this image?" along with the option to choose "Yes" or "No." The emotion engine also analyzes the user's emotions at this point, and if the user shows signs of doubt or hesitation, for example, additional explanations or options are displayed.

[1122] 4. Purchase decision:

[1123] The user selects "Yes" and confirms the purchase. The device sends the information to the server, which confirms the purchase reservation. The server then sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official merchandise manufacturer.

[1124] 5. Start of merchandise production:

[1125] The server sends the generated image along with the user's order information to the official merchandise manufacturer, who then starts the production process based on the received information, for example, starting the production of postcards.

[1126] 6. Delivery:

[1127] Once production is complete, the official merchandise manufacturer will deliver the merchandise to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it. For example, the user may receive a message saying "The postcard has been sent," and the emotion engine can also obtain sensor data to reconfirm the user's joy.

[1128] This system can officially provide users with the custom goods they desire, preventing copyright infringement and the proliferation of counterfeit goods through the sale of unofficial goods. Furthermore, the use of AI makes it possible to quickly generate a variety of merchandise images, allowing for flexible responses to user requests. Furthermore, by combining it with an emotion engine, it becomes possible to provide a more personalized service that takes into account the user's emotional state.

[1129] The processing flow will be explained below.

[1130] Step 1:

[1131] The user uses the device to input the concept for the merchandise. The device then displays an input form, into which the user enters their specific idea (e.g., "original postcards for idols"). As they input their idea, the device's built-in emotion engine analyzes their facial expressions and tone of voice to identify their emotions. When the user presses the "send" button, the device sends the concept information and emotion data to the server.

[1132] Step 2:

[1133] The server receives the concept and emotion data sent from the device. The server then sends the received concept and emotion data to the AI ​​model and asks it to generate an image. For example, if a user requests an "idol-themed postcard" and the emotion engine detects strong joy, the server passes that information to the AI ​​model.

[1134] Step 3:

[1135] The server receives the image generated by the AI ​​model. The AI ​​model generates a specific image based on the input concept and emotion data. The AI ​​model generates an image that combines visual elements related to the concept with color tones and design elements that match the user's emotion. The server then sends this image to the device.

[1136] Step 4:

[1137] The device displays the image on the screen and asks, "Do you want to buy the merchandise with this image?" along with the option to choose "Yes" or "No." The emotion engine continues to analyze the user's emotions at this point, and if the user looks skeptical or confused, for example, it displays additional explanations or options.

[1138] Step 5:

[1139] The user selects "Yes" or "No." If the user selects "Yes," the device sends the selection to the server. If the user selects "No," the purchase process is canceled and the device notifies the user.

[1140] Step 6:

[1141] If the user selects "Yes" and the server receives the information, the server confirms the purchase reservation. The server sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official goods manufacturer. For example, let's say one "original idol postcard" is ordered.

[1142] Step 7:

[1143] The official merchandise manufacturer receives the image and order information sent from the server and begins the manufacturing process. The manufacturer begins producing merchandise (e.g., postcards) based on the specified design.

[1144] Step 8:

[1145] Once production of the goods is complete, the official goods manufacturer will ship the product to the delivery address specified by the user, and the manufacturer will send a notification of delivery completion to the server.

[1146] Step 9:

[1147] The server receives a delivery completion notification from the manufacturer and notifies the user. The device displays a message to the user saying "The goods have been shipped." The emotion engine can acquire sensor data to reconfirm the user's joy. For example, the user's facial expression and tone of voice when receiving the delivery notification can be analyzed to measure their satisfaction.

[1148] The system can analyze users' emotional state in real time and provide services accordingly, improving the user experience.

[1149] Example 2

[1150] 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."

[1151] In recent years, user demand for customized goods has increased, but it is difficult to quickly provide products that reflect users' specific requests and emotions. Furthermore, since it is not possible to grasp the manufacturing process or delivery status of the customized goods desired by users, increasing user satisfaction is a challenge. Furthermore, copyright infringement and the rampant proliferation of counterfeit goods due to the sale of unofficial goods are also problems.

[1152] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1153] In this invention, the server includes a means for the user to input a concept for a product, a means for an emotion analysis module installed in the terminal to identify the user's emotional state, and a means for the server to pass the concept and emotional state to an AI model to generate an image. This enables the rapid provision of customized products that reflect the user's specific requests and emotions. Furthermore, by notifying users of the progress of the manufacturing process and the delivery status of the product, user satisfaction can be improved. Furthermore, by providing products from official manufacturers, problems such as piracy and counterfeit goods can be prevented.

[1154] A "concept" is a specific idea or image of the goods the user wishes to create.

[1155] An "emotion analysis module" is software or hardware that analyzes a user's facial expressions and tone of voice to identify their emotional state.

[1156] An "AI model" uses artificial intelligence to generate concrete images based on concepts and emotional states provided by the user.

[1157] A "server" is a computer system that receives data from users, issues instructions to the AI ​​model, stores and manages generated images, and performs other various processes.

[1158] A "user" is an individual or group who uses this system to input a concept for a product, check the image, and ultimately decide whether to purchase it.

[1159] "Terminal" refers to a device (e.g., smartphone, tablet, PC, etc.) that a user uses to access and operate the system.

[1160] "Official Manufacturer" means a certified manufacturer with the right to manufacture and distribute merchandise based on an image generated at a user's request.

[1161] The "manufacturing process" refers to a series of steps by which the official manufacturer specifically produces goods based on the order information from the user.

[1162] "Delivery" refers to the logistical process of delivering completed goods from the official manufacturer to the location specified by the user.

[1163] This invention is a system in which a user inputs a concept for a product using a terminal, a server generates an image based on that concept using an AI model, presents the generated image to the user to confirm their purchase intention, and the product is manufactured and delivered by an official manufacturer. Specific embodiments of this system are described below.

[1164] 1. User concept input

[1165] Users use the device to input the concept of the goods they want into a special input form. The device is equipped with an emotion analysis module that analyzes the user's facial expressions and tone of voice as they input information to identify their emotions. For example, when a user inputs the specific idea of ​​"original postcards of idols," the emotion analysis module recognizes the user's level of joy and excitement.

[1166] 2. Image generation

[1167] The server receives the concept entered by the user and the user's emotional state analyzed by the emotion analysis module, and sends it to the AI ​​model. The AI ​​model generates a specific image based on this information. For example, if the server passes the concept of "idol-themed postcards" and the user's strong feelings of joy to the AI ​​model, it will generate a postcard design featuring the idol's cheerful expression.

[1168] 3. Image presentation and confirmation

[1169] The server sends the generated image to the device, which displays it on the screen. The device then presents the user with a confirmation message asking, "Do you want to purchase the item with this image?" along with the options "Yes" and "No." At this point, the emotion analysis module also analyzes the user's emotions, and if the user shows signs of doubt or hesitation, additional explanations or options are displayed.

[1170] 4. Purchase decision

[1171] The user selects "Yes" and confirms the purchase. The device sends the information to the server, which confirms the purchase reservation. The server then sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official manufacturer.

[1172] 5. Start of merchandise production

[1173] The server sends the generated image and the user's order information to the official manufacturer, who then starts the production process, for example, starting the production of postcards.

[1174] 6. Delivery

[1175] Once production is complete, the goods will be delivered by the official manufacturer to the delivery address specified by the user. As soon as the server receives the delivery information, it will notify the user of the information. For example, the user may receive a message saying "The postcard has been sent," and the emotion analysis module will also collect sensor data to reconfirm the user's joy.

[1176] This allows for the rapid delivery of custom goods that reflect users' specific desires and emotions, and prevents the problems of piracy and counterfeit goods by providing products from official manufacturers.

[1177] Examples and prompts

[1178] Specific examples

[1179] 1. User concept input

[1180] The user types, "I want an original postcard of my idol," and the emotion analysis module analyzes the user's state of excitement and sends it to the server.

[1181] 2. The server sends the prompt to the AI ​​model

[1182] The server sends the prompt "Idol's original postcard, 90% joy, 10% excitement" to the AI ​​model, which then generates a postcard design with a bright expression.

[1183] 3. Present the image to the user

[1184] The generated image is displayed on the device, and a confirmation message appears asking, "Do you want to purchase goods with this image?" The user selects "Yes," and the purchase information is sent to the server.

[1185] Prompt Sentence Examples

[1186] Prompt: Original postcard from idol, 90% joy, 10% excitement

[1187] Through the above process, custom goods based on user input and emotions are quickly generated, and then manufactured and delivered by official manufacturers.

[1188] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1189] Step 1:

[1190] Displaying the concept input form

[1191] The device displays a dedicated input form to the user, and when the user begins to type, the device captures the user's facial expressions and tone of voice in real time and sends the data to an emotion analysis module.

[1192] Input: A concept of the product the user desires.

[1193] Output: Concept input data and captured sentiment data.

[1194] Step 2:

[1195] User input capture and sentiment analysis

[1196] Once the user has finished entering the concept for the merchandise into the device's input form, the device's emotion analysis module analyzes the user's facial expressions and tone of voice and converts their emotional state into numerical data.

[1197] Input: User-entered concepts and captured sentiment data.

[1198] Output: Concept data and numerical data of the analyzed emotional state.

[1199] Step 3:

[1200] Sending Concept and Emotion Data

[1201] The terminal transmits the concept data input by the user and the numerical data of the emotional state obtained from the emotion analysis module to the server.

[1202] Input: Concept data and numerical data of emotional states.

[1203] Output: The data sent to the server.

[1204] Step 4:

[1205] Prompt generation and sending to AI model

[1206] The server converts the received concept data and numerical data on emotional states into a prompt format and sends it to the generative AI model. For example, it might be in the form of "Idol's original postcard, 90% joy, 10% excitement." The AI ​​model generates a specific image based on this prompt.

[1207] Input: Concept data, numerical data of emotional states.

[1208] Output: Data in the form of a prompt: "Idol's original postcard, 90% joy, 10% excitement."

[1209] Step 5:

[1210] Image generation

[1211] The generative AI model generates a specific image based on the prompt and returns the image data to the server.

[1212] Input: Prompt data.

[1213] Output: The generated image data.

[1214] Step 6:

[1215] Receiving and Sending Images

[1216] The server receives the generated image data and sends it to the user's terminal.

[1217] Input: The generated image data.

[1218] Output: A message containing the image data.

[1219] Step 7:

[1220] Image presentation and confirmation

[1221] The device displays the generated image on the screen and offers the option of "Yes" or "No" along with a confirmation message asking, "Do you want to purchase the merchandise with this image?" The emotion analysis module again analyzes the user's facial expressions and displays additional explanations or options if there are any doubts or hesitations.

[1222] Input: Image data and real-time user emotion data.

[1223] Output: Confirmation messages and choices displayed on the screen.

[1224] Step 8:

[1225] Acquiring purchase intent

[1226] The user selects "Yes" to indicate their intention to purchase, and the device sends that information to the server.

[1227] Input: User's choice (Yes or No).

[1228] Output: Purchase intention data.

[1229] Step 9:

[1230] Sending purchase information

[1231] Based on the purchase intention data received by the server, the generated image and the user's order information (e.g., quantity, delivery address) are sent to the official manufacturer.

[1232] Input: Purchase intent data, generated images, order information.

[1233] Output: Data sent to the official manufacturer.

[1234] Step 10:

[1235] Beginning of the manufacturing process

[1236] The official manufacturer will then start the production process based on the received data, for example, starting a production line for postcards.

[1237] Input: Data sent to official manufacturer.

[1238] Output: The manufacturing process started.

[1239] Step 11:

[1240] Manufacturing Progression and Monitoring

[1241] The server periodically obtains production progress information from the goods manufacturer and notifies the user as necessary.

[1242] Input: Manufacturing progress data.

[1243] Output: The message that is displayed to the user.

[1244] Step 12:

[1245] Notification of product completion and delivery status

[1246] Once the goods are manufactured, they will be delivered to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it.

[1247] Input: Shipping information.

[1248] Output: Notification message "Your postcard has been sent."

[1249] (Application example 2)

[1250] 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."

[1251] Conventional custom goods production systems have difficulty generating personalized designs that take user emotions into account, making it difficult to improve user satisfaction. It has also been difficult to accurately determine the user's purchasing intentions regarding the generated designs.

[1252] The identification process by the identification 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 a means for the user to input a concept for a product, a means for the server to pass the concept to an AI model to generate an image, and a means for analyzing the user's emotions using an emotion analysis engine. This makes it possible to generate designs that take the user's emotions into consideration and to accurately determine purchasing intentions.

[1253] A "user" is a person who uses the system to input a concept for a product, check the generated image, and decide to purchase it.

[1254] "Goods concept" refers to the idea or theme of the customized product desired by the user.

[1255] "Input means" refers to the interfaces or devices that allow users to input concepts into the system.

[1256] The "server" is a computer system that processes data received from users, passes it to the AI ​​model to generate images, and manages the entire process.

[1257] An "AI model" refers to an algorithm or system that uses artificial intelligence to generate specific images based on user input and the results of emotional analysis.

[1258] "Image" refers to a generated image that visually reflects the user's concept.

[1259] "Emotion analysis engine" refers to a software or hardware configuration that analyzes a user's facial expressions and tone of voice to identify their emotional state.

[1260] "Means for confirming purchase intent" refers to an interface or process that allows a user to determine whether they wish to purchase the generated image.

[1261] "Means for receiving purchase decisions" refers to the process or interface by which the system formally confirms a user's intent to purchase.

[1262] "Official Manufacturer" refers to the authorized producer or vendor of actual merchandise based on the generated image.

[1263] "Manufacturing Process" refers to the series of operations and steps that an official manufacturer takes to produce goods based on a user's order.

[1264] "Means of delivery" refers to the logistics and delivery system used to deliver manufactured goods to users.

[1265] This invention is a system that supports a series of processes, from a user inputting a concept for a product, to an AI model generating an image based on that concept and the user's emotions, to the user confirming the image and making a purchase decision. The embodiments of the present invention are described in detail below.

[1266] Overall system configuration

[1267] This system mainly includes a terminal that provides the user interface, a server that processes data, an emotion analysis engine, and a generative AI model. The terminal is assumed to be a smartphone or tablet, and the server is preferably a cloud server.

[1268] User concept input

[1269] The user uses a device to input the concept of the product they want into an input form. At this time, the emotion analysis engine analyzes the user's facial expressions and tone of voice to identify their emotions. This emotional data is then used by AI to generate images.

[1270] Image generation

[1271] 1. The device sends the concept and emotion data entered by the user to the server.

[1272] 2. The server passes this data to a generative AI model, which generates a specific image. The generated image reflects the user's emotions. For example, if the user expresses "joy," a fun-looking product will be suggested.

[1273] Image presentation and purchase confirmation

[1274] The generated image is sent to the device and displayed to the user. A confirmation message such as "Do you want to purchase merchandise with this image?" is displayed, offering the options "Yes" and "No." The user's emotions at this time are also analyzed by the emotion analysis engine and sent to the server along with the "Yes" or "No" input.

[1275] Beginning of the manufacturing process

[1276] Once the user confirms their purchase, the server sends the order information along with the generated image to the official manufacturer, who then starts the manufacturing process, for example, producing a T-shirt or postcard with the design the user wants.

[1277] Delivery

[1278] Once production is complete, the goods are delivered by the official manufacturer to the address specified by the user. As soon as the server receives the delivery information, it notifies the user that the goods have been shipped. At this time, the emotion analysis engine can obtain sensor data to confirm the user's level of joy.

[1279] Examples and prompts

[1280] For example, if a user requests a "sunny design for a custom T-shirt," the emotion analysis engine will detect "joy, excitement" and send the following prompt to the generative AI model:

[1281] User concept: "Sunny design for original T-shirt"

[1282] Emotion: "Joy, excitement"

[1283] Use this concept and emotion to generate a bright and fun t-shirt design.

[1284] This system allows custom goods to be quickly and accurately generated that reflect the user's specific desires and emotions, significantly improving user satisfaction.

[1285] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1286] Step 1:

[1287] The user uses the device to input the concept of the goods they want into a special input form, at which point the device's built-in emotion analysis engine analyzes the user's facial expressions and tone of voice to collect emotional data.

[1288] Input: Concept of the goods (e.g., "Sunny design on an original T-shirt"), user's facial expression and tone of voice

[1289] Output: Concept data, emotion data

[1290] Step 2:

[1291] The terminal transmits the concept data and emotion data input by the user to the server.

[1292] Input: Concept data, emotion data

[1293] Output: Data sent to the server

[1294] Step 3:

[1295] The server sends the received concept data and emotion data to a generative AI model to generate a concrete image.

[1296] The server generates a prompt based on this data.

[1297] Input: Concept data, emotion data

[1298] Output: Generated image, prompt (e.g., "Generate a bright and fun T-shirt design based on this concept and emotion.")

[1299] Step 4:

[1300] The server sends the generated image to the terminal and presents it to the user. It also displays a message asking "Do you want to purchase goods with this image?" and offers the options "Yes" and "No."

[1301] Input: The generated image, a confirmation message to display to the user

[1302] Output: Image displayed to the user, confirmation message

[1303] Step 5:

[1304] The device receives the user's "yes" or "no" input and sends the result along with emotion data to the server.

[1305] Input: "Yes" or "No" input, emotion data

[1306] Output: Purchase intent data sent to the server

[1307] Step 6:

[1308] The server determines the user's purchase intent, and if yes, sends the generated image and order information to the official manufacturer to start the manufacturing process.

[1309] Input: Purchase intent data, generated images

[1310] Output: Order information to official manufacturer, start of manufacturing process

[1311] Step 7:

[1312] The official manufacturer completes the manufacturing process and delivers the finished goods. The server receives the delivery information and notifies the user.

[1313] Input:Shipping information

[1314] Output: Delivery notification to user

[1315] 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.

[1316] 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.

[1317] 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.

[1318] [Fourth embodiment]

[1319] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1320] 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.

[1321] 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).

[1322] 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.

[1323] 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.

[1324] 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).

[1325] 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.

[1326] 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.

[1327] 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.

[1328] 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.

[1329] 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.

[1330] 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.

[1331] 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."

[1332] The present invention is a system in which a user inputs a concept for merchandise using a terminal, a server generates an image based on the concept using an AI model, the generated image is presented to the user to confirm purchase intention, and the merchandise is manufactured and delivered by an official merchandise manufacturer. Specific embodiments of the present invention are described below.

[1333] 1. User concept input:

[1334] Users use a terminal to input the concept of the goods they want into a special input form. For example, users can input a specific idea such as "original postcards of idols."

[1335] 2. Image generation:

[1336] The server receives the concept entered by the user and sends it to the AI ​​model, which then generates a specific image based on the concept. For example, the server passes the concept "original idol postcard" to the AI ​​model, and generates a design image for a postcard featuring a specific idol.

[1337] 3. Image presentation and confirmation:

[1338] The server presents the generated image to the user. The device displays the image on the screen and asks the user, "Do you want to purchase the goods with this image?" The user confirms their intention to purchase by selecting "Yes" or "No."

[1339] 4. Purchase decision:

[1340] If the user decides to purchase and selects "Yes," the terminal sends the information to the server, which then accepts the purchase reservation and proceeds with the process.

[1341] 5. Start of merchandise production:

[1342] The server sends the generated image along with the user's purchase information to the official merchandise manufacturer, who then starts the production process based on the received information, for example, starting the production of postcards.

[1343] 6. Delivery:

[1344] Once the goods are manufactured, they will be sent to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it. For example, the user will receive an email saying, "The postcard has been sent."

[1345] This system can officially provide the custom goods that users desire, preventing copyright infringement and the rampant spread of counterfeit goods through the sale of unofficial goods. In addition, by using AI, it is possible to quickly generate a variety of merchandise images, allowing for flexible response to user requests.

[1346] The processing flow will be explained below.

[1347] Step 1:

[1348] The user uses the terminal to input the concept for the goods. The terminal displays an input form, and the user enters the specific idea (e.g., "original postcards for idols") into the form. When the user presses the "Submit" button, the terminal sends the concept information to the server.

[1349] Step 2:

[1350] The server receives the concept sent from the device, passes it to the AI ​​model, and asks it to generate an image.

[1351] Step 3:

[1352] The server receives the image generated by the AI ​​model, which then generates a concrete visual image based on the input concept and returns it to the server.

[1353] Step 4:

[1354] The server sends the generated image to the device, which displays the image to the user, asking "Do you want to purchase the goods with this image?" along with a "Yes" or "No" option.

[1355] Step 5:

[1356] The user selects "Yes" or "No." If the user selects "Yes," the device sends the selection to the server. If the user selects "No," the purchase process is canceled and the user is notified.

[1357] Step 6:

[1358] If the user selects "Yes" and the server receives the information, the server confirms the purchase reservation. The server sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official merchandise manufacturer.

[1359] Step 7:

[1360] The official merchandise manufacturer receives the image and order information sent from the server and starts the manufacturing process. The manufacturer produces merchandise (e.g., postcards) based on the specified design.

[1361] Step 8:

[1362] Once production of the goods is complete, the official goods manufacturer will ship the product to the delivery address specified by the user, and the manufacturer will send a notification of delivery completion to the server.

[1363] Step 9:

[1364] The server receives a delivery completion notification from the manufacturer and notifies the user. The device displays a "Goods have been shipped" message to the user and provides additional delivery tracking information.

[1365] Example 1

[1366] 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."

[1367] Currently, many custom goods manufacturing systems on the market lack the ability to quickly and accurately reflect users' specific requests. Furthermore, copyright infringement and the distribution of counterfeit goods through the sale of unofficial goods are becoming a problem. This makes it difficult for users to obtain the high-quality, accurate custom goods they desire, and also creates disadvantages for legitimate manufacturers.

[1368] 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.

[1369] In this invention, the server includes a means for a user to input a concept, a means for the server to pass the concept to a generative AI model to generate an image, a means for the server to present the generated image to the user and confirm purchase intent, a means for the server to receive the user's purchase intent, a means for the server to send the generated image to a manufacturing department to start the manufacturing process, and a means for the manufactured goods to be delivered to the user. This enables the rapid production and delivery of high-quality custom goods based on the user's specific requests, eliminating the problems of copyright infringement and counterfeit goods caused by unofficial goods.

[1370] "User" refers to any individual or entity that utilizes the System to input a concept for a good and receive the generated image and subsequent product.

[1371] The "server" is a computer system that receives data input by the user, generates an image using a generative AI model, presents it to the user, and then transmits the data to the manufacturing department.

[1372] "Concept" refers to the specific image or theme of the goods that the user wants.

[1373] A "generative AI model" refers to an artificial intelligence model that generates images based on input concepts.

[1374] "Image" refers to the visual data generated by a generative AI model.

[1375] "Manufacturing department" refers to the department or company that actually manufactures goods based on image data sent from the server.

[1376] "Goods" refers to the tangible products ordered and manufactured through this system.

[1377] "Means" refers to a method or device for realizing a specific function or role.

[1378] "Purchase intent" refers to a user's intention to actually purchase goods based on the images presented.

[1379] "Delivery" refers to the logistics process for delivering manufactured goods to the address specified by the user.

[1380] "Notification" refers to information sent from the server to the user informing them of production and delivery status.

[1381] MODE FOR CARRYING OUT THE INVENTION

[1382] The present invention is a system in which a user inputs a concept of a product using a terminal, a server generates an image based on the concept using a generative AI model, the generated image is presented to the user to confirm their purchase intention, and the product is manufactured and delivered by the manufacturing department. Specific embodiments of the present invention are described below.

[1383] System configuration

[1384] The system includes a user terminal, a server, a generative AI model, a manufacturing department, and a delivery system. User terminals include PCs, smartphones, tablets, etc., and are used to access a dedicated web form where users can enter their product concepts. The server receives the data sent by the user, passes it to the generative AI model to generate images, and transmits the information to the manufacturing department and users.

[1385] Hardware and software used

[1386] 1. Device:

[1387] Any device that can connect to the internet, such as a PC, smartphone, or tablet.

[1388] A browser or dedicated application must be installed.

[1389] 2. Server:

[1390] A server with high-performance data processing capabilities.

[1391] Required software includes a database management system (e.g., MySQL), a web server (e.g., Apache), and a programming language (e.g., Python) for interacting with the AI ​​model.

[1392] 3. Generative AI Model:

[1393] As an example of a generative AI model, OpenAI's DALL-E is used.

[1394] Image generation is performed by entering a prompt text through the Python API.

[1395] 4. Manufacturing Department:

[1396] Factories and companies that actually undertake the manufacturing of goods.

[1397] The manufacturing process includes digital printing machines, cutting machines, etc.

[1398] 5. Delivery System:

[1399] A logistics company that delivers manufactured goods to the address specified by the user.

[1400] This also includes tracking and notification systems.

[1401] Processing flow

[1402] 1. User concept input

[1403] Users access a dedicated web form using a PC, smartphone, tablet, or other device and enter the concept of the goods they want, such as a specific idea like "original postcards of an idol."

[1404] 2. Image generation by the server

[1405] The server receives the concept data sent by the user and sends it to the generative AI model as a prompt. An example of a prompt is "Original postcard of an idol." The generative AI model (e.g., OpenAI's DALL-E) generates a specific image based on this prompt.

[1406] 3. Show images to users and confirm purchase intent

[1407] The server receives the generated image data and sends it to the user's terminal. The user's terminal displays the image and presents a confirmation message asking, "Do you want to purchase the goods with this image?" The user inputs their purchase intention by selecting "Yes" or "No."

[1408] 4. Purchase decision and start of production

[1409] If the user selects "Yes," the user terminal sends the information to the server. The server accepts the purchase order and sends the purchase information along with the generated image to the manufacturing department. The manufacturing department starts the manufacturing process based on the received information. For example, it starts printing postcards.

[1410] 5. Delivery of Products

[1411] Once the goods are manufactured, they will be delivered to the address specified by the user. As soon as the server receives the delivery information, it will notify the user. For example, an email will be sent to the user saying, "The postcard has been sent."

[1412] This system enables the rapid production and delivery of high-quality custom goods based on the user's specific requests, eliminating the problems of copyright infringement and counterfeit goods caused by unofficial goods.

[1413] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1414] Step 1:

[1415] The user operates the device to access a dedicated web form, where they input their idea for the product.

[1416] Input: User text input (e.g. "Original postcard of idol").

[1417] Output: User-entered conceptual data.

[1418] Specific operation: The user opens a browser, enters a URL to access a dedicated form, where they enter the concept of the goods they want into the text box.

[1419] Step 2:

[1420] The device sends the user's input data to the server.

[1421] Input: User input data.

[1422] Output: Conceptual data received by the server.

[1423] Specific operation: When the user clicks the "Submit" button, the device sends the entered conceptual data to the server as an HTTPS request.

[1424] Step 3:

[1425] The server sends the received conceptual data to the generative AI model.

[1426] Input: Concept data received by the server.

[1427] Output: The prompt sent to the generative AI model.

[1428] Specific operation: The server sends the received conceptual data as a prompt to the API of the generative AI model.

[1429] Step 4:

[1430] The generative AI model generates an image based on the prompt text and returns the image data to the server.

[1431] Input: The prompt statement.

[1432] Output: The generated image data.

[1433] Specific operation: The generative AI model receives the prompt sentence sent from the server, executes the image generation algorithm based on it, and returns the generated image data to the server.

[1434] Step 5:

[1435] The server transmits the generated image data to the user terminal.

[1436] Input: The generated image data.

[1437] Output: Image data displayed on the user's device.

[1438] Specific operation: The server packages the generated image data and sends it to the user's device as an HTTPS response.

[1439] Step 6:

[1440] The device displays the image to the user and displays a message confirming purchase intent.

[1441] Input: The generated image data.

[1442] Output: The displayed image and a confirmation message.

[1443] What it does: The device displays the image on the screen and pops up a message saying, "Do you want to buy merchandise with this image?"

[1444] Step 7:

[1445] The user selects "Yes" or "No" and enters the answer.

[1446] Input: User's choice (Yes or No).

[1447] Output: User selection data.

[1448] What happens: The user clicks a "Yes" or "No" button.

[1449] Step 8:

[1450] The terminal transmits the user's selection data to the server.

[1451] Input: User selected data.

[1452] Output: The selection data received by the server.

[1453] Specific operation: The device sends the user's selection data to the server as an HTTPS request.

[1454] Step 9:

[1455] If the server receives "yes," it sends the purchasing information along with the image data to the manufacturing department.

[1456] Input: User's selection data ("Yes") and image data.

[1457] Output: Production instruction data sent to the manufacturing department.

[1458] Specific operation: The server sends the user's "Yes" selection and image data to the manufacturing department's system.

[1459] Step 10:

[1460] The manufacturing department starts the manufacturing process.

[1461] Input: Manufacturing instruction data.

[1462] Output: Produced item.

[1463] Specific operation: The manufacturing department actually produces items such as postcards based on the instruction data received.

[1464] Step 11:

[1465] The completed product is delivered to the user.

[1466] Input: Produced goods and delivery information.

[1467] Output: Goods delivered to the user.

[1468] Specific operation: The manufacturing department packs the finished goods and hands them over to a delivery company for delivery to the address specified by the user.

[1469] Step 12:

[1470] The server notifies the user of the delivery information.

[1471] Input: Shipping information.

[1472] Output: Shipping information notified to the user.

[1473] Specific operation: The server receives delivery information from the delivery company and sends an email or app notification to the user stating that "the postcard has been sent."

[1474] (Application example 1)

[1475] 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."

[1476] Conventional merchandise manufacturing systems make it difficult to produce the custom merchandise users desire and to quickly respond to their design needs. They also face the challenges of copyright infringement and the proliferation of counterfeit goods due to the sale of unofficial merchandise. Furthermore, insufficient communication between users and manufacturers and a lack of transparency regarding the manufacturing process and delivery status make it difficult to increase user satisfaction.

[1477] 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.

[1478] In this invention, the server includes a means for a user to input a concept for an item, a means for the server to pass the concept to a generative AI model to generate an image, a means for the server to present the generated image to the user and confirm purchase intent, a means for the server to receive the user's purchase decision, a means for the server to send the generated image to a production facility to start the production process, a means for the server to deliver the produced item to the user, and a means for the server to install the produced item in a smartphone, smart glasses, head-mounted display, or robot. This allows for the rapid provision of custom goods desired by users, curbs the sale of unofficial goods, and ensures transparency in the manufacturing process and delivery status.

[1479] "User" refers to an individual or organization who uses the system to input the concept of an item and wishes to purchase goods.

[1480] "Item concept" refers to the idea or description of the design and features of the desired item that the user inputs into the system.

[1481] "Generative AI model" refers to an artificial intelligence technology that generates specific images based on the concept of an input item.

[1482] "Server" refers to a computing system that has the means to receive input from a user, pass it to a generative AI model, present the generated image to the user, and then transmit that information to a production organization.

[1483] "Image" refers to a concrete visual representation of an item concept generated by a generative AI model.

[1484] "Production organization" refers to an organization or facility that manufactures goods based on images transmitted from the server.

[1485] "Production process" refers to the series of steps that initiate and complete the manufacture of an item in a production facility.

[1486] "Delivery" refers to the transportation service for delivering manufactured goods to the address specified by the User.

[1487] A "smartphone" refers to a mobile phone that has communication capabilities and is capable of multiple operations.

[1488] "Smart glasses" refers to a glasses-type device that has the functions of displaying information, operating, and communicating.

[1489] A "head-mounted display" refers to a display device worn on the head.

[1490] "Robot" refers to a mechanical device that operates automatically or by remote control.

[1491] This invention is a system that allows users to input the concept of the item they want using a smartphone, smart glasses, head-mounted display, or robot, and a generative AI model generates a concrete image based on that concept, confirms the user's purchase intention, and officially manufactures and delivers customized goods.

[1492] System Overview

[1493] 1. User concept input:

[1494] Users use a device (smartphone, smart glasses, head-mounted display, or robot) to enter the concept of the goods they want into a dedicated input form.

[1495] For example, enter a specific idea such as "original postcards of idols."

[1496] 2. Image generation:

[1497] The server sends the user's inputted concept to a generative AI model, which generates a concrete image.

[1498] For example, the server passes the concept of "original idol postcard" to a generative AI model, which generates a design image of a postcard featuring a specific idol.

[1499] 3. Image presentation and confirmation:

[1500] The server presents the generated image to the user.

[1501] The device displays the image on the screen and asks the user, "Do you want to purchase the goods with this image?" The user can then select "Yes" or "No."

[1502] 4. Purchase decision:

[1503] If the user decides to make a purchase and selects "Yes," the device sends the information to the server.

[1504] The server accepts the purchase reservation based on this information and proceeds with the process.

[1505] 5. Start of merchandise production:

[1506] The server sends the generated image and the user's purchase information to the production facility to start the production process.

[1507] For example, production of postcards begins.

[1508] 6. Delivery:

[1509] Once production is complete, the goods will be delivered from the production facility to the address specified by the user.

[1510] Once the server receives the delivery information, it will notify the user.

[1511] For example, an email is sent to the user saying, "Your postcard has been sent."

[1512] Hardware and software used

[1513] Hardware:

[1514] Smartphone

[1515] Smart Glasses

[1516] head-mounted display

[1517] robot

[1518] software:

[1519] Flask (Python framework)

[1520] requests (HTTP request library)

[1521] Generative AI model running on a server

[1522] Examples and prompts

[1523] Specific examples of concept input

[1524] The user opens the app on their smartphone and types in "original idol postcard."

[1525] Examples of prompt statements

[1526] To the generative AI model:

[1527] Please generate an image of an "original idol postcard." Please create a design featuring a specific idol.

[1528] The explanation shows how a simple sentence entered by a user is transformed into a concrete image, and then the process of transforming that image into a physical item. This system allows users to quickly obtain the custom goods they want, while also helping to curb the sale of unofficial goods.

[1529] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1530] Step 1:

[1531] The user uses the terminal to input the concept of the item they want. The terminal receives this as text in a special input form. The input at this stage is text in which the user describes the specific design and features of the goods (for example, "original postcards of idols").

[1532] Step 2:

[1533] The device sends the concept of the item entered by the user to the server, which receives this text data and sends it to the generative AI model. The server then passes the input string data to the generative AI model in an appropriate format, prompting it to generate an image.

[1534] Step 3:

[1535] The server uses a generative AI model to generate an image based on the concept of the submitted item. The generative AI model analyzes the input text and generates appropriate image data accordingly. The output data is a specific visual representation (image file) based on the user's request.

[1536] Step 4:

[1537] The server sends the generated image to the terminal, which then presents it to the user. The terminal displays the generated image on the screen and simultaneously displays a confirmation message asking, "Do you want to purchase the goods with this image?" The input at this stage is the generated image file and the confirmation message, and the output is what is presented to the user's eyes.

[1538] Step 5:

[1539] The user uses the terminal to view the generated image and select "yes" or "no." The terminal receives the user's selection and sends that information to the server. The input is the user's selection ("yes" or "no"), and the output is to pass this selection information to the server.

[1540] Step 6:

[1541] If the user selects "Yes," the server sends the generated image and the user's purchase information to the production organization to start the production process. The server passes this information to the production organization in an appropriate format and sends production instruction data. The input is the user's confirmation information and the generated image, and the output is the production instruction.

[1542] Step 7:

[1543] Once production is complete, the goods are delivered from the production facility to the address specified by the user. As soon as the server receives the delivery information, it notifies the user of that information. The server then sends a delivery completion notification to the user via email or app notification. The input is the delivery completion information, and the output is a notification to the user.

[1544] 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.

[1545] The present invention is a system in which a user inputs a concept for merchandise using a terminal, a server generates an image based on the concept using an AI model, the generated image is presented to the user to confirm purchase intention, and the merchandise is manufactured and delivered by an official merchandise manufacturer. Specific embodiments of the present invention are described below.

[1546] 1. User concept input:

[1547] Users use the device to input the concept of the goods they want into a special input form. The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice as they input, identifying their emotions. For example, when a user inputs the specific idea of ​​"original postcards of idols," the emotion engine analyzes the user's emotions and recognizes their level of joy and excitement.

[1548] 2. Image generation:

[1549] The server receives the concept entered by the user and sends it to the AI ​​model. The AI ​​model generates a specific image based on the concept and the user's emotional state analyzed by the emotion engine. For example, if the server passes the concept of "original idol postcard" and the user's strong feelings of joy to the AI ​​model, it will generate a postcard design featuring the idol's cheerful expression.

[1550] 3. Image presentation and confirmation:

[1551] The server sends the generated image to the device, which displays it on the screen and asks, "Do you want to purchase the item with this image?" along with the option to choose "Yes" or "No." The emotion engine also analyzes the user's emotions at this point, and if the user shows signs of doubt or hesitation, for example, additional explanations or options are displayed.

[1552] 4. Purchase decision:

[1553] The user selects "Yes" and confirms the purchase. The device sends the information to the server, which confirms the purchase reservation. The server then sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official merchandise manufacturer.

[1554] 5. Start of merchandise production:

[1555] The server sends the generated image along with the user's order information to the official merchandise manufacturer, who then starts the production process based on the received information, for example, starting the production of postcards.

[1556] 6. Delivery:

[1557] Once production is complete, the official merchandise manufacturer will deliver the merchandise to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it. For example, the user may receive a message saying "The postcard has been sent," and the emotion engine can also obtain sensor data to reconfirm the user's joy.

[1558] This system can officially provide users with the custom goods they desire, preventing copyright infringement and the proliferation of counterfeit goods through the sale of unofficial goods. Furthermore, the use of AI makes it possible to quickly generate a variety of merchandise images, allowing for flexible responses to user requests. Furthermore, by combining it with an emotion engine, it becomes possible to provide a more personalized service that takes into account the user's emotional state.

[1559] The processing flow will be explained below.

[1560] Step 1:

[1561] The user uses the device to input the concept for the merchandise. The device then displays an input form, into which the user enters their specific idea (e.g., "original postcards for idols"). As they input their idea, the device's built-in emotion engine analyzes their facial expressions and tone of voice to identify their emotions. When the user presses the "send" button, the device sends the concept information and emotion data to the server.

[1562] Step 2:

[1563] The server receives the concept and emotion data sent from the device. The server then sends the received concept and emotion data to the AI ​​model and asks it to generate an image. For example, if a user requests an "idol-themed postcard" and the emotion engine detects strong joy, the server passes that information to the AI ​​model.

[1564] Step 3:

[1565] The server receives the image generated by the AI ​​model. The AI ​​model generates a specific image based on the input concept and emotion data. The AI ​​model generates an image that combines visual elements related to the concept with color tones and design elements that match the user's emotion. The server then sends this image to the device.

[1566] Step 4:

[1567] The device displays the image on the screen and asks, "Do you want to buy the merchandise with this image?" along with the option to choose "Yes" or "No." The emotion engine continues to analyze the user's emotions at this point, and if the user looks skeptical or confused, for example, it displays additional explanations or options.

[1568] Step 5:

[1569] The user selects "Yes" or "No." If the user selects "Yes," the device sends the selection to the server. If the user selects "No," the purchase process is canceled and the device notifies the user.

[1570] Step 6:

[1571] If the user selects "Yes" and the server receives the information, the server confirms the purchase reservation. The server sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official goods manufacturer. For example, let's say one "original idol postcard" is ordered.

[1572] Step 7:

[1573] The official merchandise manufacturer receives the image and order information sent from the server and begins the manufacturing process. The manufacturer begins producing merchandise (e.g., postcards) based on the specified design.

[1574] Step 8:

[1575] Once production of the goods is complete, the official goods manufacturer will ship the product to the delivery address specified by the user, and the manufacturer will send a notification of delivery completion to the server.

[1576] Step 9:

[1577] The server receives a delivery completion notification from the manufacturer and notifies the user. The device displays a message to the user saying "The goods have been shipped." The emotion engine can acquire sensor data to reconfirm the user's joy. For example, the user's facial expression and tone of voice when receiving the delivery notification can be analyzed to measure their satisfaction.

[1578] The system can analyze users' emotional state in real time and provide services accordingly, improving the user experience.

[1579] Example 2

[1580] 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."

[1581] In recent years, user demand for customized goods has increased, but it is difficult to quickly provide products that reflect users' specific requests and emotions. Furthermore, since it is not possible to grasp the manufacturing process or delivery status of the customized goods desired by users, increasing user satisfaction is a challenge. Furthermore, copyright infringement and the rampant proliferation of counterfeit goods due to the sale of unofficial goods are also problems.

[1582] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1583] In this invention, the server includes a means for the user to input a concept for a product, a means for an emotion analysis module installed in the terminal to identify the user's emotional state, and a means for the server to pass the concept and emotional state to an AI model to generate an image. This enables the rapid provision of customized products that reflect the user's specific requests and emotions. Furthermore, by notifying users of the progress of the manufacturing process and the delivery status of the product, user satisfaction can be improved. Furthermore, by providing products from official manufacturers, problems such as piracy and counterfeit goods can be prevented.

[1584] A "concept" is a specific idea or image of the goods the user wishes to create.

[1585] An "emotion analysis module" is software or hardware that analyzes a user's facial expressions and tone of voice to identify their emotional state.

[1586] An "AI model" uses artificial intelligence to generate concrete images based on concepts and emotional states provided by the user.

[1587] A "server" is a computer system that receives data from users, issues instructions to the AI ​​model, stores and manages generated images, and performs other various processes.

[1588] A "user" is an individual or group who uses this system to input a concept for a product, check the image, and ultimately decide whether to purchase it.

[1589] "Terminal" refers to a device (e.g., smartphone, tablet, PC, etc.) that a user uses to access and operate the system.

[1590] "Official Manufacturer" means a certified manufacturer with the right to manufacture and distribute merchandise based on an image generated at a user's request.

[1591] The "manufacturing process" refers to a series of steps by which the official manufacturer specifically produces goods based on the order information from the user.

[1592] "Delivery" refers to the logistical process of delivering completed goods from the official manufacturer to the location specified by the user.

[1593] This invention is a system in which a user inputs a concept for a product using a terminal, a server generates an image based on that concept using an AI model, presents the generated image to the user to confirm their purchase intention, and the product is manufactured and delivered by an official manufacturer. Specific embodiments of this system are described below.

[1594] 1. User concept input

[1595] Users use the device to input the concept of the goods they want into a special input form. The device is equipped with an emotion analysis module that analyzes the user's facial expressions and tone of voice as they input information to identify their emotions. For example, when a user inputs the specific idea of ​​"original postcards of idols," the emotion analysis module recognizes the user's level of joy and excitement.

[1596] 2. Image generation

[1597] The server receives the concept entered by the user and the user's emotional state analyzed by the emotion analysis module, and sends it to the AI ​​model. The AI ​​model generates a specific image based on this information. For example, if the server passes the concept of "idol-themed postcards" and the user's strong feelings of joy to the AI ​​model, it will generate a postcard design featuring the idol's cheerful expression.

[1598] 3. Image presentation and confirmation

[1599] The server sends the generated image to the device, which displays it on the screen. The device then presents the user with a confirmation message asking, "Do you want to purchase the item with this image?" along with the options "Yes" and "No." At this point, the emotion analysis module also analyzes the user's emotions, and if the user shows signs of doubt or hesitation, additional explanations or options are displayed.

[1600] 4. Purchase decision

[1601] The user selects "Yes" and confirms the purchase. The device sends the information to the server, which confirms the purchase reservation. The server then sends the generated image and the user's order information (e.g., quantity, delivery address, etc.) to the official manufacturer.

[1602] 5. Start of merchandise production

[1603] The server sends the generated image and the user's order information to the official manufacturer, who then starts the production process, for example, starting the production of postcards.

[1604] 6. Delivery

[1605] Once production is complete, the goods will be delivered by the official manufacturer to the delivery address specified by the user. As soon as the server receives the delivery information, it will notify the user of the information. For example, the user may receive a message saying "The postcard has been sent," and the emotion analysis module will also collect sensor data to reconfirm the user's joy.

[1606] This allows for the rapid delivery of custom goods that reflect users' specific desires and emotions, and prevents the problems of piracy and counterfeit goods by providing products from official manufacturers.

[1607] Examples and prompts

[1608] Specific examples

[1609] 1. User concept input

[1610] The user types, "I want an original postcard of my idol," and the emotion analysis module analyzes the user's state of excitement and sends it to the server.

[1611] 2. The server sends the prompt to the AI ​​model

[1612] The server sends the prompt "Idol's original postcard, 90% joy, 10% excitement" to the AI ​​model, which then generates a postcard design with a bright expression.

[1613] 3. Present the image to the user

[1614] The generated image is displayed on the device, and a confirmation message appears asking, "Do you want to purchase goods with this image?" The user selects "Yes," and the purchase information is sent to the server.

[1615] Prompt Sentence Examples

[1616] Prompt: Original postcard from idol, 90% joy, 10% excitement

[1617] Through the above process, custom goods based on user input and emotions are quickly generated, and then manufactured and delivered by official manufacturers.

[1618] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1619] Step 1:

[1620] Displaying the concept input form

[1621] The device displays a dedicated input form to the user, and when the user begins to type, the device captures the user's facial expressions and tone of voice in real time and sends the data to an emotion analysis module.

[1622] Input: A concept of the product the user desires.

[1623] Output: Concept input data and captured sentiment data.

[1624] Step 2:

[1625] User input capture and sentiment analysis

[1626] Once the user has finished entering the concept for the merchandise into the device's input form, the device's emotion analysis module analyzes the user's facial expressions and tone of voice and converts their emotional state into numerical data.

[1627] Input: User-entered concepts and captured sentiment data.

[1628] Output: Concept data and numerical data of the analyzed emotional state.

[1629] Step 3:

[1630] Sending Concept and Emotion Data

[1631] The terminal transmits the concept data input by the user and the numerical data of the emotional state obtained from the emotion analysis module to the server.

[1632] Input: Concept data and numerical data of emotional states.

[1633] Output: The data sent to the server.

[1634] Step 4:

[1635] Prompt generation and sending to AI model

[1636] The server converts the received concept data and numerical data on emotional states into a prompt format and sends it to the generative AI model. For example, it might be in the form of "Idol's original postcard, 90% joy, 10% excitement." The AI ​​model generates a specific image based on this prompt.

[1637] Input: Concept data, numerical data of emotional states.

[1638] Output: Data in the form of a prompt: "Idol's original postcard, 90% joy, 10% excitement."

[1639] Step 5:

[1640] Image generation

[1641] The generative AI model generates a specific image based on the prompt and returns the image data to the server.

[1642] Input: Prompt data.

[1643] Output: The generated image data.

[1644] Step 6:

[1645] Receiving and Sending Images

[1646] The server receives the generated image data and sends it to the user's terminal.

[1647] Input: The generated image data.

[1648] Output: A message containing the image data.

[1649] Step 7:

[1650] Image presentation and confirmation

[1651] The device displays the generated image on the screen and offers the option of "Yes" or "No" along with a confirmation message asking, "Do you want to purchase the merchandise with this image?" The emotion analysis module again analyzes the user's facial expressions and displays additional explanations or options if there are any doubts or hesitations.

[1652] Input: Image data and real-time user emotion data.

[1653] Output: Confirmation messages and choices displayed on the screen.

[1654] Step 8:

[1655] Acquiring purchase intent

[1656] The user selects "Yes" to indicate their intention to purchase, and the device sends that information to the server.

[1657] Input: User's choice (Yes or No).

[1658] Output: Purchase intention data.

[1659] Step 9:

[1660] Sending purchase information

[1661] Based on the purchase intention data received by the server, the generated image and the user's order information (e.g., quantity, delivery address) are sent to the official manufacturer.

[1662] Input: Purchase intent data, generated images, order information.

[1663] Output: Data sent to the official manufacturer.

[1664] Step 10:

[1665] Beginning of the manufacturing process

[1666] The official manufacturer will then start the production process based on the received data, for example, starting a production line for postcards.

[1667] Input: Data sent to official manufacturer.

[1668] Output: The manufacturing process started.

[1669] Step 11:

[1670] Manufacturing Progression and Monitoring

[1671] The server periodically obtains production progress information from the goods manufacturer and notifies the user as necessary.

[1672] Input: Manufacturing progress data.

[1673] Output: The message that is displayed to the user.

[1674] Step 12:

[1675] Notification of product completion and delivery status

[1676] Once the goods are manufactured, they will be delivered to the address specified by the user. The server will notify the user of the delivery information as soon as it receives it.

[1677] Input: Shipping information.

[1678] Output: Notification message "Your postcard has been sent."

[1679] (Application example 2)

[1680] 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."

[1681] Conventional custom goods production systems have difficulty generating personalized designs that take user emotions into account, making it difficult to improve user satisfaction. It has also been difficult to accurately determine the user's purchasing intentions regarding the generated designs.

[1682] The identification process by the identification 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 a means for the user to input a concept for a product, a means for the server to pass the concept to an AI model to generate an image, and a means for analyzing the user's emotions using an emotion analysis engine. This makes it possible to generate designs that take the user's emotions into consideration and to accurately determine purchasing intentions.

[1683] A "user" is a person who uses the system to input a concept for a product, check the generated image, and decide to purchase it.

[1684] "Goods concept" refers to the idea or theme of the customized product desired by the user.

[1685] "Input means" refers to the interfaces or devices that allow users to input concepts into the system.

[1686] The "server" is a computer system that processes data received from users, passes it to the AI ​​model to generate images, and manages the entire process.

[1687] An "AI model" refers to an algorithm or system that uses artificial intelligence to generate specific images based on user input and the results of emotional analysis.

[1688] "Image" refers to a generated image that visually reflects the user's concept.

[1689] "Emotion analysis engine" refers to a software or hardware configuration that analyzes a user's facial expressions and tone of voice to identify their emotional state.

[1690] "Means for confirming purchase intent" refers to an interface or process that allows a user to determine whether they wish to purchase the generated image.

[1691] "Means for receiving purchase decisions" refers to the process or interface by which the system formally confirms a user's intent to purchase.

[1692] "Official Manufacturer" refers to the authorized producer or vendor of actual merchandise based on the generated image.

[1693] "Manufacturing Process" refers to the series of operations and steps that an official manufacturer takes to produce goods based on a user's order.

[1694] "Means of delivery" refers to the logistics and delivery system used to deliver manufactured goods to users.

[1695] This invention is a system that supports a series of processes, from a user inputting a concept for a product, to an AI model generating an image based on that concept and the user's emotions, to the user confirming the image and making a purchase decision. The embodiments of the present invention are described in detail below.

[1696] Overall system configuration

[1697] This system mainly includes a terminal that provides the user interface, a server that processes data, an emotion analysis engine, and a generative AI model. The terminal is assumed to be a smartphone or tablet, and the server is preferably a cloud server.

[1698] User concept input

[1699] The user uses a device to input the concept of the product they want into an input form. At this time, the emotion analysis engine analyzes the user's facial expressions and tone of voice to identify their emotions. This emotional data is then used by AI to generate images.

[1700] Image generation

[1701] 1. The device sends the concept and emotion data entered by the user to the server.

[1702] 2. The server passes this data to a generative AI model, which generates a specific image. The generated image reflects the user's emotions. For example, if the user expresses "joy," a fun-looking product will be suggested.

[1703] Image presentation and purchase confirmation

[1704] The generated image is sent to the device and displayed to the user. A confirmation message such as "Do you want to purchase merchandise with this image?" is displayed, offering the options "Yes" and "No." The user's emotions at this time are also analyzed by the emotion analysis engine and sent to the server along with the "Yes" or "No" input.

[1705] Beginning of the manufacturing process

[1706] Once the user confirms their purchase, the server sends the order information along with the generated image to the official manufacturer, who then starts the manufacturing process, for example, producing a T-shirt or postcard with the design the user wants.

[1707] Delivery

[1708] Once production is complete, the goods are delivered by the official manufacturer to the address specified by the user. As soon as the server receives the delivery information, it notifies the user that the goods have been shipped. At this time, the emotion analysis engine can obtain sensor data to confirm the user's level of joy.

[1709] Examples and prompts

[1710] For example, if a user requests a "sunny design for a custom T-shirt," the emotion analysis engine will detect "joy, excitement" and send the following prompt to the generative AI model:

[1711] User concept: "Sunny design for original T-shirt"

[1712] Emotion: "Joy, excitement"

[1713] Use this concept and emotion to generate a bright and fun t-shirt design.

[1714] This system allows custom goods to be quickly and accurately generated that reflect the user's specific desires and emotions, significantly improving user satisfaction.

[1715] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1716] Step 1:

[1717] The user uses the device to input the concept of the goods they want into a special input form, at which point the device's built-in emotion analysis engine analyzes the user's facial expressions and tone of voice to collect emotional data.

[1718] Input: Concept of the goods (e.g., "Sunny design on an original T-shirt"), user's facial expression and tone of voice

[1719] Output: Concept data, emotion data

[1720] Step 2:

[1721] The terminal transmits the concept data and emotion data input by the user to the server.

[1722] Input: Concept data, emotion data

[1723] Output: Data sent to the server

[1724] Step 3:

[1725] The server sends the received concept data and emotion data to a generative AI model to generate a concrete image.

[1726] The server generates a prompt based on this data.

[1727] Input: Concept data, emotion data

[1728] Output: Generated image, prompt (e.g., "Generate a bright and fun T-shirt design based on this concept and emotion.")

[1729] Step 4:

[1730] The server sends the generated image to the terminal and presents it to the user. It also displays a message asking "Do you want to purchase goods with this image?" and offers the options "Yes" and "No."

[1731] Input: The generated image, a confirmation message to display to the user

[1732] Output: Image displayed to the user, confirmation message

[1733] Step 5:

[1734] The device receives the user's "yes" or "no" input and sends the result along with emotion data to the server.

[1735] Input: "Yes" or "No" input, emotion data

[1736] Output: Purchase intent data sent to the server

[1737] Step 6:

[1738] The server determines the user's purchase intent, and if yes, sends the generated image and order information to the official manufacturer to start the manufacturing process.

[1739] Input: Purchase intent data, generated images

[1740] Output: Order information to official manufacturer, start of manufacturing process

[1741] Step 7:

[1742] The official manufacturer completes the manufacturing process and delivers the finished goods. The server receives the delivery information and notifies the user.

[1743] Input:Shipping information

[1744] Output: Delivery notification to user

[1745] 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.

[1746] 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.

[1747] 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.

[1748] 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.

[1749] 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.

[1750] 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.

[1751] 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).

[1752] 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.

[1753] 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."

[1754] 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.

[1755] 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).

[1756] 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.

[1757] 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.

[1758] 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.

[1759] 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.

[1760] 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.

[1761] 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.

[1762] 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.

[1763] 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.

[1764] 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.

[1765] 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.

[1766] The following is further disclosed regarding the above embodiment.

[1767] (Claim 1)

[1768] A way for users to input their merchandise concepts,

[1769] The server then passes the concept to an AI model to generate an image.

[1770] a means for the server to present the generated image to the user and confirm purchase intent;

[1771] a means for receiving the user's purchase decision;

[1772] a means for the server to send the generated image to an official merchandise manufacturer to initiate the manufacturing process;

[1773] A means for delivering manufactured goods to users;

[1774] A system including:

[1775] (Claim 2)

[1776] 10. The system of claim 1, wherein the server receives a "yes" or "no" input from the user when requesting confirmation of the generated image to determine purchase intent.

[1777] (Claim 3)

[1778] 10. The system of claim 1, further comprising means for notifying the user of the progress of the manufacturing process and the delivery status of the goods.

[1779] "Example 1"

[1780] (Claim 1)

[1781] a means for a user to input concepts;

[1782] A means for the server to pass the concepts to a generative AI model to generate images;

[1783] A means for the server to present the generated image to the user and confirm purchase intent;

[1784] a means for receiving the user's purchase intent;

[1785] a means for the server to transmit the generated image to a manufacturing department to initiate the manufacturing process;

[1786] a means by which the manufactured goods are delivered to the user;

[1787] A system including:

[1788] (Claim 2)

[1789] 2. The system of claim 1, wherein the server receives a "yes" or "no" input from the user when requesting confirmation of the generated image to determine purchase intent.

[1790] (Claim 3)

[1791] 10. The system of claim 1, further comprising means for notifying a user of the progress of the manufacturing process and the delivery status of the item.

[1792] "Application Example 1"

[1793] (Claim 1)

[1794] a means for a user to input an article concept;

[1795] A means for the server to pass the concepts to a generative AI model to generate images;

[1796] A means for the server to present the generated image to the user and confirm purchase intent;

[1797] a means for receiving the user's purchase decision;

[1798] means for the server to transmit the generated images to a production facility to initiate the production process;

[1799] a means by which the produced goods are delivered to users;

[1800] A means to be installed on a smartphone, smart glasses, a head-mounted display, or a robot;

[1801] A system including:

[1802] (Claim 2)

[1803] 2. The system of claim 1, wherein the server receives a "yes" or "no" input from the user when requesting confirmation of the generated image to determine purchase intent.

[1804] (Claim 3)

[1805] 10. The system of claim 1, further comprising means for notifying a user of the progress of the production process and the delivery status of the goods.

[1806] "Example 2: Combining Emotion Engines"

[1807] (Claim 1)

[1808] A way for users to input their merchandise concepts,

[1809] A means for identifying the emotional state of a user by an emotion analysis module installed on the device;

[1810] The server then passes the concept and emotional state to the AI ​​model to generate the image.

[1811] a means for the server to present the generated image to the user and confirm purchase intent;

[1812] a means for the terminal to receive a user's purchase decision;

[1813] means for the server to transmit the generated image and order information to an official manufacturer to initiate the manufacturing process;

[1814] A means of delivering the product to the user from the official manufacturer;

[1815] A system including:

[1816] (Claim 2)

[1817] 2. The system of claim 1, wherein the server receives a "yes" or "no" input from the user when requesting confirmation of the generated image and uses the sentiment analysis module to present additional explanations or options.

[1818] (Claim 3)

[1819] 10. The system of claim 1, further comprising means for the server to notify the user of the progress of the manufacturing process and the delivery status of the product.

[1820] "Application example 2 when combining emotion engines"

[1821] (Claim 1)

[1822] A way for users to input their merchandise concepts,

[1823] The server then passes the concept to an AI model to generate an image.

[1824] A means for analyzing user emotions using an emotion analysis engine;

[1825] The server presents the generated image and the emotion analysis results to the user to confirm their purchase intention;

[1826] a means for receiving the user's purchase decision;

[1827] means for the server to send the generated image to the official manufacturer to initiate the manufacturing process;

[1828] A means for delivering manufactured goods to users;

[1829] A system including:

[1830] (Claim 2)

[1831] 2. The system of claim 1, wherein the server receives a "yes" or "no" input from the user when requesting confirmation of the generated image, and determines purchase intent using the sentiment analysis results.

[1832] (Claim 3)

[1833] 10. The system of claim 1, further comprising means for notifying the user of the progress of the manufacturing process and the delivery status of the goods. [Explanation of symbols]

[1834] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A way for users to input their merchandise concepts, The server then passes the concept to an AI model to generate an image. a means for the server to present the generated image to the user and confirm purchase intent; a means for receiving the user's purchase decision; a means for the server to send the generated image to an official merchandise manufacturer to initiate the manufacturing process; A means by which the manufactured goods are delivered to users; A system including:

2. 2. The system of claim 1, wherein the server receives a "yes" or "no" input from the user when requesting confirmation of the generated image to determine purchase intent.

3. The system of claim 1 further comprising means for notifying the user of the progress of the manufacturing process and the delivery status of the goods.

Images