System

Abstract

A system is provided.SOLUTION: A means for uploading, from a terminal to a server, images of a user taken from a plurality of angles by the user, a means for inputting an image of a hairstyle desired by the user or text thereof to the server, a means for generating a 360-degree hairstyle image using a generated AI model based on the image of the user and the data of the desired hairstyle by the server, a means for presenting the generated hairstyle image to the user terminal and inputting an adjustment instruction by the user, a means for correcting the hairstyle by the server using an AI model again based on the adjustment instruction by the user, and a means for generating a final hairstyle image in which a user's advice and professional advice are reflected by the server; Means for presenting to a terminal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Many people have experienced the problem of getting a haircut at a hair salon that is different from what they expected. The main cause of this problem is poor communication between the user and the hairdresser. In particular, it is difficult for the user to specifically communicate their ideal hairstyle, making it difficult for the hairdresser to accurately recreate it. Furthermore, it is not easy to suggest a hairstyle that suits the user's hair type, personal color, and face shape. The purpose of this invention is to solve these problems and improve user satisfaction. [Means for solving the problem]

[0005] The present invention provides a system that allows users to upload images of themselves taken from multiple angles from their device to a server and input images or text of their desired hairstyle into the server. The server generates a 360-degree hairstyle image using a generative AI model based on the user's image and desired hairstyle data. The generated hairstyle image is displayed on the user's device, and the user inputs adjustment instructions. Based on the user's adjustment instructions, the server again uses the AI ​​model to modify the hairstyle. The server also generates a final hairstyle image that reflects the user's and professional advice and displays it on the device. Furthermore, the system enables users to realize their ideal hairstyle by generating images that take into account the user's hair type data and personal color, and by including functions for sharing the image with a hairdresser.

[0006] A "user" is an individual who uses the system and provides images and information about the desired hairstyle in order to adjust their hairstyle.

[0007] A "terminal" is a device operated by a user, such as a smartphone or PC, that can communicate with the system.

[0008] "Server" means a central computing system that receives, processes, and stores data submitted by users.

[0009] "Images" are visual data of photos of the user taken from multiple angles of themselves and their desired hairstyle.

[0010] "Desired hairstyle data" is information about the user's ideal hairstyle, and is data provided to the server in the form of images or text.

[0011] A "generative AI model" is an algorithm or program that uses artificial intelligence to generate hairstyle images based on the user's facial shape and hairstyle characteristics.

[0012] A "360-degree hairstyle image" is a three-dimensional image that allows users to visually check their desired hairstyle from all directions.

[0013] The "adjustment instructions" are specific correction requests or instructions given by the user to the generated hairstyle image.

[0014] "Hair quality data" is information about the texture and characteristics of the user's hair, such as hair thickness, curl, and color.

[0015] "Personal color" is information about the optimal color tone based on the user's personal characteristics, such as skin color and eye color.

[0016] "Professional advice" refers to opinions and suggestions about hairstyles provided by professionals such as hairdressers and stylists.

[0017] The "final hairstyle image" is a final hairstyle image that embodies an ideal hairstyle that reflects the user's adjustment instructions and professional advice. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7]FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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).

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] This invention is a visual communication system that allows users to specifically define their ideal hairstyle, visually confirm it using a generation AI, and share it with a hairdresser, thereby realizing their ideal hairstyle.

[0040] The program of this system mainly performs the following processes.

[0041] 1. User image upload

[0042] Users upload their own photos taken from multiple angles from their devices to the server.

[0043] The device compresses these photos and sends them to the server.

[0044] The server converts the received images into a unified format and stores them in a database.

[0045] 2. Enter the desired hairstyle data

[0046] The user inputs an image or text of the hairstyle they want into the device.

[0047] The terminal transmits this data to the server.

[0048] The server analyzes the received desired hairstyle data and extracts its features.

[0049] 3. Hairstyle generation by AI

[0050] The server combines the user's facial data with their desired hairstyle data.

[0051] The server uses the generative AI model to generate a 360-degree hairstyle image.

[0052] The terminal presents the generated hairstyle image to the user.

[0053] 4. User adjustment instructions

[0054] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[0055] The terminal sends this instruction to the server.

[0056] The server again uses the AI ​​model to modify the hairstyle and generate an updated hairstyle image.

[0057] 5. Final hairstyle decision and professional advice

[0058] The server generates the final hairstyle image taking into account the user's hair type data, personal color, and professional advice.

[0059] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[0060] The device sends the final image to the hairdresser and shares it.

[0061] In this way, the system of the present invention allows users to specifically confirm their ideal hairstyle and accurately communicate it to their hairdresser. As a specific example, consider the process of confirming the ideal hairstyle by taking a photo of themselves with a smartphone and using an AI model to generate and adjust a hairstyle image based on the desired hairstyle. The final hairstyle image is shared with the hairdresser, who then performs the treatment based on the instructions and can achieve the desired result.

[0062] The processing flow will be explained below.

[0063] Step 1:

[0064] The user opens the smartphone app and taps the "Upload Photo" button. The user then takes photos of themselves from four angles: front, back, left and right.

[0065] Step 2:

[0066] The device takes photos, compresses them in a specified format (e.g., JPEG), and sends them to the server. Each photo is accompanied by metadata such as the user ID.

[0067] Step 3:

[0068] The server converts the received photos into a standard format and stores them in a database. After storing them, it performs image analysis and performs preprocessing such as facial recognition.

[0069] Step 4:

[0070] The app uses an input field for users to enter an image or text of the hairstyle they want. Select an image or describe it in text, such as "a natural bob with a slight curl."

[0071] Step 5:

[0072] The device sends the entered hairstyle image or text data to the server. The sent data includes the user ID.

[0073] Step 6:

[0074] The server analyzes the received data. The image analysis system extracts hairstyle features from the image, and the text analysis system extracts keywords from the input text.

[0075] Step 7:

[0076] The server combines the user's facial data with their desired hairstyle data, and uses a deep learning model to generate a hairstyle that matches the user's face shape.

[0077] Step 8:

[0078] The server renders the generated hairstyle in a 360-degree view to create a hairstyle image, which is then stored on the server and sent to the user.

[0079] Step 9:

[0080] The device receives the hairstyle image and displays it on the app, providing an interface that allows the user to check the hairstyle in 360 degrees and indicate any necessary adjustments.

[0081] Step 10:

[0082] The user inputs specific adjustment instructions such as "Make the bangs a little shorter" or "Add a little more volume." The interface includes a function to specify the area of ​​the adjustment.

[0083] Step 11:

[0084] The device sends the user's adjustment instructions to the server. The transmitted data includes the adjustment instructions and the user ID.

[0085] Step 12:

[0086] The server again uses the AI ​​model to adjust the hairstyle and generate an updated hairstyle image, which is then saved on the server and sent back to the user.

[0087] Step 13:

[0088] The server considers the user's hair type and personal color and generates the final hairstyle based on professional opinions. It compares it with a database of hair types and colors to select the most suitable style.

[0089] Step 14:

[0090] The device will present the user with the final hairstyle image and professional advice, after which the user can make a final confirmation and tap the confirm button.

[0091] Step 15:

[0092] The device then shares the final image with the hairdresser. The transmitted data includes the user's ID and the final hairstyle image.

[0093] Step 16:

[0094] The hairdresser will create a treatment plan based on the final image received, and when the user receives treatment at the salon, they can use the shared image as a reference to achieve their ideal hairstyle.

[0095] Example 1

[0096] 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."

[0097] A common problem with modern beauty services is that it is difficult for users to specifically communicate their ideal hairstyle. This makes it difficult for hairdressers to accurately understand and realize the user's wishes, often resulting in low user satisfaction. Furthermore, users are unable to get a clear image of their hairstyle based on photos of themselves taken from multiple angles, leading to ambiguous communication when giving instructions for adjustments. New technology is needed to solve this problem.

[0098] 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.

[0099] In this invention, the server includes: means for a user to upload images of themselves taken from multiple angles from a terminal to the server; means for the terminal to compress the uploaded images and send them to the server; means for the server to convert the received images into a unified format and store them in a database; means for the user to input an image or text of their desired hairstyle into the terminal and for the terminal to send it to the server; means for the server to analyze the desired hairstyle data and extract features; means for the server to integrate the user's facial data and desired hairstyle data and generate a 360-degree hairstyle image using a generative AI model; means for the server to present the generated hairstyle image to the user's terminal and for the user to input specific adjustment instructions; means for the terminal to send the user's adjustment instructions to the server; means for the server to again use the generative AI model to modify the hairstyle and generate an updated hairstyle image; and means for the server to generate a final hairstyle image taking into account the user's hair type data, personal color, and professional advice and present it to the terminal. This allows the user to specifically visualize their ideal hairstyle and accurately convey it to a hairdresser.

[0100] "User" refers to an individual who uses the System.

[0101] "Terminal" refers to an electronic device operated by a user (e.g., smartphone, computer, tablet).

[0102] "Server" refers to the central system that receives, processes, and stores data transmitted by a user.

[0103] "Image compression" refers to the process of reducing the amount of information in an image to reduce its data size.

[0104] "Unified format" refers to converting data into a unified format to ensure data compatibility.

[0105] A "database" refers to a system that stores large amounts of data in an organized manner and enables efficient search and use as needed.

[0106] An "analysis engine" refers to software or algorithms that analyze input data and extract its characteristics and features.

[0107] "Hairstyle data" refers to information such as images and text relating to the hairstyle desired by the user.

[0108] A "generative AI model" refers to a trained model that uses artificial intelligence to generate new images and data.

[0109] "360-degree view" refers to a three-dimensional display format that can be observed from all directions.

[0110] "Adjustment instructions" refers to input information that allows a user to specify intended changes or fine-tuning.

[0111] "Hair Quality Data" refers to information regarding the characteristics of a User's hair (e.g., thickness, stiffness, density).

[0112] "Personal Color" refers to an individual color combination based on the user's skin, eye, and hair color.

[0113] "Professional advice" refers to advice on styling and hairstyles provided by a professional such as a hairdresser.

[0114] "Hairstyle Image" refers to the visual representation of an ideal hairstyle generated by a generative AI model.

[0115] A "hairdresser" is a professional who cuts, styles, and cares for hair.

[0116] This is a visual communication system that allows users to set their ideal hairstyle, visually confirm it using a generative AI model, and share it with a hairdresser to achieve their ideal hairstyle. The program for this system is realized using three main components: the user, the terminal, and the server.

[0117] First, the user takes photos of themselves from multiple angles using a device such as a smartphone or PC. The device then compresses the images and sends them to the server. Specifically, the device's camera function is used to capture the images, which are then compressed to convert them into a unified format such as JPEG or PNG.

[0118] The server then converts the received images into a unified format and stores them in a database. This process requires image analysis, and image processing libraries such as OpenCV are used to efficiently process the images. The server stores this data and prepares it for subsequent processing.

[0119] The user inputs data (image or text) about the hairstyle they want into the device, which then sends it to the server. The server analyzes the received hairstyle data and extracts its features. The analysis engine can perform text analysis using an NLP library (natural language processing library).

[0120] The server combines the user's facial data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model (e.g., the StyleGAN model). The generated hairstyle image is sent to the device and presented to the user. This image generation process allows the user to see their ideal hairstyle from all angles.

[0121] The user reviews the generated hairstyle image and inputs specific adjustment instructions into the device. The device then sends this to the server, which again uses the generated AI model to modify the hairstyle and generate an updated hairstyle image. This iterative process allows the user to further refine their ideal hairstyle.

[0122] Finally, the server generates a final hairstyle image taking into account the user's hair type data, personal color, and professional advice. This data also includes advice provided by professional hairdressers. The final image is then displayed on the device again for the user to review and confirm. The confirmed image is then shared with the hairdresser via the device.

[0123] Specific examples

[0124] For example, users can take photos of their face from three angles with their smartphone: the front, the side, and the back. They then use the app to upload these images to the system. When users input their desired hairstyle, they specify characteristics with text, such as "long straight hair, with bangs, brown." Alternatively, they can upload a reference image of the desired hairstyle.

[0125] Prompt Sentence Examples

[0126] "Please enter the characteristics of your ideal hairstyle (e.g., long straight hair, with bangs, brown)."

[0127] "Please upload a reference image of the hairstyle you want."

[0128] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0129] Step 1: Upload a user image

[0130] Specific operation:

[0131] Users use their smartphone or computer camera to take photos of themselves from the front, side, and back.

[0132] The device receives these images and saves them in JPEG or PNG format.

[0133] Input: Images of the user taken from multiple angles.

[0134] Data processing: The device compresses the image to reduce its size.

[0135] Output: Compressed image files.

[0136] Step 2: Send and save the image

[0137] Specific operation:

[0138] The terminal sends the compressed image file to the server.

[0139] The server uses the OpenCV library to analyze the images received and convert them into a unified format.

[0140] The server stores the converted image data in a database.

[0141] Input: Compressed image files.

[0142] Data processing: Convert to a standardized image format (e.g., JPEG, PNG).

[0143] Output: Image data in a unified format is stored in a database.

[0144] Step 3: Enter your desired hairstyle data

[0145] Specific operation:

[0146] The user inputs an image or text of the hairstyle they want into the device application.

[0147] The device sends this data (images and text) to the server.

[0148] Input: Image or text information of the hairstyle you want.

[0149] Data calculation: The server uses an NLP library to analyze the text data and extract hairstyle features.

[0150] Output: Parsed hairstyle feature data.

[0151] Step 4: Hairstyle generation by AI

[0152] Specific operation:

[0153] The server retrieves the user's facial data and desired hairstyle characteristics data from the database.

[0154] The server inputs facial data and feature data into a generative AI model (e.g., StyleGAN) to generate a 360-degree hairstyle image.

[0155] The device displays the generated hairstyle image to the user.

[0156] Input: User's face data and desired hairstyle feature data.

[0157] Data calculation: The generative AI model generates a 360-degree view of the hairstyle.

[0158] Output: The generated 360-degree view hairstyle image.

[0159] Step 5: Enter and modify adjustment instructions

[0160] Specific operation:

[0161] The user checks the generated hairstyle image and inputs adjustment instructions for specific parts into the terminal.

[0162] The device sends the user's input data to the server.

[0163] The server will then use the generated AI model to modify the hairstyle.

[0164] The server generates an updated hairstyle image and transmits it to the terminal.

[0165] Input: User adjustment instructions.

[0166] Data calculation: The generative AI model regenerates the hairstyle image based on the adjustment instructions.

[0167] Output: The modified hairstyle image.

[0168] Step 6: Finalize and share your hairstyle

[0169] Specific operation:

[0170] The server generates the final hairstyle image taking into consideration the user's hair type data, personal color and professional advice.

[0171] The device will then present the final hairstyle image to the user.

[0172] The user reviews and confirms the final image.

[0173] The device sends the finalized image to the server, which then shares it with the hairdresser.

[0174] Input: User's hair type data, personal color, and professional advice.

[0175] Data calculation: The server considers all the data and generates the final hairstyle image.

[0176] Output: Final hairstyle image presented to the user, and image shared with the hairdresser.

[0177] (Application example 1)

[0178] 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."

[0179] With traditional communication methods at hair salons, it was difficult for users to specifically communicate their ideal hairstyle to the hairdresser, resulting in a finish that often differed from their ideal. Even when users input images or text of the hairstyle they wanted, the intention was not conveyed through flat visual information alone, and a 360-degree view was not possible, making it difficult to share an accurate image. Furthermore, it was unclear whether the final hairstyle would suit the user's hair type and personal color, forcing users to rely on the hairdresser's skill.

[0180] 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.

[0181] In this invention, the server includes: a means for a user to upload images of themselves taken from multiple angles from a terminal to the server; a means for inputting images or text of the user's desired hairstyle to the server; a means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and the desired hairstyle data; a means for presenting the generated hairstyle image to the user's terminal and for the user to input adjustment instructions; a means for the server to modify the hairstyle using the generative AI model based on the user's adjustment instructions; a means for the server to generate a final hairstyle image that reflects the user's and professional advice and present it to the terminal; and a means for sharing the final hairstyle image presented on the terminal with a hairdresser and providing instructions for the hairdresser to perform the treatment. This allows the user to specifically confirm their ideal hairstyle and share it with the hairdresser through effective communication. Furthermore, by suggesting an optimal hairstyle that takes into account the user's hair type data and personal color, a highly satisfying finish can be achieved.

[0182] A "generative AI model" is an algorithm that uses artificial intelligence to generate new data from specific data.

[0183] A "server" is a type of computer system that exchanges and processes data over a network.

[0184] "User terminal" refers to a device that is directly operated by the user, such as a smartphone or PC.

[0185] A "hairstyle image" is visual information of a hairstyle that can be viewed from all directions and is generated based on a user's facial image and desired hairstyle data.

[0186] The "adjustment instructions" refer to instructions for changes that reflect the user's wishes to make to the generated hairstyle image.

[0187] "Professional advice" refers to technical suggestions and advice provided by professionals such as hairdressers and stylists regarding a user's hairstyle.

[0188] "Hair Quality Data" refers to information regarding the characteristics of a User's hair (e.g., thickness, curl, volume, toughness, etc.).

[0189] "Personal colors" are a group of colors that are said to best match the user's skin tone and are used as a reference when deciding on a hairstyle.

[0190] A "hairdresser" refers to a professional who styles a user's hairstyle.

[0191] MODE FOR CARRYING OUT THE INVENTION

[0192] To implement this invention, it is necessary to build a system that effectively utilizes a server, user terminals (smartphones or PCs), and generative AI models. The system of the present invention is configured as follows.

[0193] How the program is implemented

[0194] 1. User image upload

[0195] Users take images of their face from multiple angles and upload them to the system from their device, such as a smartphone or computer.

[0196] The terminal appropriately compresses these images and transmits them over the network to the server.

[0197] The server converts the received images into a unified format (e.g., 224x224 pixels) and stores them in a database.

[0198] 2. Enter the desired hairstyle data

[0199] The user inputs an image or text of the desired hairstyle into the user terminal.

[0200] The terminal transmits this data to the server.

[0201] The server analyzes the received hairstyle data and extracts its features using natural language processing (NLP) and image analysis algorithms.

[0202] 3. Hairstyle generation by AI

[0203] The server combines the user's facial data with their desired hairstyle data and uses a generative AI model to generate a 360-degree hairstyle image.

[0204] This generative AI model is built using machine learning frameworks such as Keras and TensorFlow.

[0205] The terminal presents the generated hairstyle image to the user.

[0206] 4. User adjustment instructions

[0207] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[0208] The terminal sends this instruction to the server.

[0209] The server again uses the generative AI model to modify the hairstyle based on the user's adjustment instructions.

[0210] 5. Final hairstyle decision and professional advice

[0211] The server takes into account the user's hair type and personal color data and generates the final hairstyle image, using an algorithm that takes into account the user's hair type and fashion advice.

[0212] The final hairstyle image is displayed on the device for the user and hairdresser to review.

[0213] Based on this information, hairdressers can provide treatments that meet the user's wishes.

[0214] Examples and prompts

[0215] For example, consider a case where a user uses an application called "Smart Hair Design Assistant (tentative name)," which assists the user in the process of importing a photo of themselves, inputting the desired hairstyle, and generating the final hairstyle.

[0216] Examples of input prompts for generative AI models:

[0217] "Enter the face image of user ID: 12345 and the desired hairstyle of 'semi-long, with bangs, curly hair' to generate a new hairstyle image."

[0218] Based on this prompt, the generative AI model generates a hairstyle image and displays it on the user's smartphone or computer, allowing users to easily simulate their ideal hairstyle at home or at the salon and effectively communicate with their hairdresser.

[0219] As described above, this system allows users to confirm their ideal hairstyle in detail and accurately communicate it to the hairdresser. The final hairstyle image is shared with the hairdresser, so the hairdresser can perform the treatment based on the instructions and achieve the finish that the user desires.

[0220] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0221] Step 1:

[0222] The user takes pictures of themselves from multiple angles and uploads them to the server from their device. The user takes pictures of their face from multiple angles using a smartphone camera and uploads the image data through the application. At this time, the images are appropriately compressed and sent to the server via the network. The server converts the received images into a unified format (e.g., 224x224 pixels) and stores them in a database.

[0223] Input: Face images taken from multiple angles

[0224] Output: Images converted to a unified format

[0225] Step 2:

[0226] The user inputs an image or text of the hairstyle they want into the device. The user inputs an image of the hairstyle they want or a text description of the hairstyle through the application. This data is sent to the server via the network. The server analyzes the received data and extracts the characteristics of the desired hairstyle.

[0227] Input: Image or text of desired hairstyle

[0228] Output: Hairstyle feature data

[0229] Step 3:

[0230] The server uses a generative AI model to generate a 360-degree hairstyle image based on the user's image and desired hairstyle data. The server inputs the user's face data and desired hairstyle feature data and generates a 360-degree hairstyle image using the generative AI model. This generative AI model is built using machine learning frameworks such as Keras and TensorFlow.

[0231] Input: User's face data, desired hairstyle feature data

[0232] Output: 360-degree hairstyle image

[0233] Step 4:

[0234] The generated hairstyle image is presented to the user's device, and the user inputs adjustment instructions. The server then sends the generated hairstyle image to the user's device, which then displays the image to the user. The user checks the image and, if necessary, inputs adjustment instructions through the application.

[0235] Input: Generated 360-degree hairstyle image

[0236] Output: User adjustment instructions

[0237] Step 5:

[0238] Based on the user's adjustment instructions, the server uses the generative AI model to modify the hairstyle. The server receives the user's adjustment instructions and again uses the generative AI model based on those instructions to modify the hairstyle.

[0239] Input: User adjustment instructions

[0240] Output: Modified hairstyle image

[0241] Step 6:

[0242] The server generates a final hairstyle image that reflects the user's and professional's advice and displays it on the device. The server then generates the final hairstyle, taking into account the user's hair type data, personal color, and professional advice. The final hairstyle image is sent to the user's device, where it is reviewed by the user and hairdresser.

[0243] Input: User's hair type data, personal color, professional advice

[0244] Output: Final hairstyle image

[0245] Step 7:

[0246] The final hairstyle image displayed on the device is shared with the hairdresser, who provides instructions for the hairdresser to perform the treatment.The final hairstyle image displayed on the user's device is also shared with the hairdresser.The hairdresser will use this image to perform the treatment according to the user's wishes.

[0247] Input: Final hairstyle image

[0248] Output: Treatment instructions by a hairdresser

[0249] 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.

[0250] This is a visual communication system that allows users to set their ideal hairstyle, visually confirm it using a generation AI, and share it with a hairdresser to realize their ideal hairstyle. Furthermore, this system incorporates an emotion engine that recognizes the user's emotions and suggests and adjusts hairstyles based on the user's emotions.

[0251] The program of this system includes the following processing steps:

[0252] 1. User image upload

[0253] Users upload their own photos taken from multiple angles from their devices to the server.

[0254] The device compresses the photos taken and sends them to the server.

[0255] The server converts the received images into a unified format and stores them in a database.

[0256] 2. Enter the desired hairstyle data

[0257] Use the app's input field to enter an image or text of the hairstyle the user desires.

[0258] The terminal transmits this data to the server.

[0259] The server analyzes the received desired hairstyle data and extracts its features.

[0260] 3. Hairstyle generation by AI

[0261] The server combines the user's facial data with their desired hairstyle data.

[0262] The server uses the generative AI model to generate a 360-degree hairstyle image.

[0263] The terminal presents the generated hairstyle image to the user.

[0264] 4. User adjustment instructions

[0265] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[0266] The terminal sends this instruction to the server.

[0267] The server again uses the AI ​​model to modify the hairstyle and generate an updated hairstyle image.

[0268] 5. Emotion Recognition and Suggestion by Emotion Engine

[0269] The server analyzes the user's facial expression data and uses an emotion engine to recognize the user's emotions (e.g., joy, anxiety, satisfaction, etc.).

[0270] An emotion engine suggests hairstyle adjustments based on recognized emotions.

[0271] The user inputs new instructions based on the proposed adjustments.

[0272] 6. Final hairstyle decision and professional advice

[0273] The server generates the final hairstyle based on the user's hair type data, personal color, and professional opinions.

[0274] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[0275] The device shares the final image with the hairdresser, who then performs the treatment.

[0276] Specific examples

[0277] 1. Upload an image

[0278] Users open the smartphone app and take and upload photos of themselves from multiple angles.

[0279] The server receives the images and performs analysis.

[0280] 2. Enter your desired hairstyle

[0281] Users can upload a hairstyle image from a magazine into the app, or type in the text "rounded bob."

[0282] The server analyzes the desired hairstyle data and extracts features.

[0283] 3. AI-based hairstyle generation

[0284] The server combines the user's facial data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model.

[0285] The terminal displays the generated hairstyle image.

[0286] 4. User adjustment instructions

[0287] The user can view the hairstyle image in 360 degrees and input specific adjustment instructions, such as "make the bangs a little shorter."

[0288] 5. Emotion Recognition and Suggestion by Emotion Engine

[0289] The server analyzes the user's facial expression data and recognizes emotions such as "satisfaction," "anxiety," and "happiness."

[0290] If the emotion engine is not in a "satisfied" state, it will suggest further adjustments.

[0291] 6. Final hairstyle decision and professional advice

[0292] The server generates the final hairstyle image and finalizes it based on user and professional advice.

[0293] The device shares the final image with the hairdresser, who then performs the treatment based on the instructions.

[0294] This allows users to concretize the hairstyle that best suits their needs, and hairdressers can then perform the treatment appropriately based on that.

[0295] The processing flow will be explained below.

[0296] Step 1:

[0297] A user opens the smartphone app, the app's startup screen appears, and the user selects the "Upload a photo" button.

[0298] Step 2:

[0299] Users take photos of themselves from four angles: front, back, left and right, and a preview of each photo is displayed in the app.

[0300] Step 3:

[0301] The device takes photos, compresses them in the specified format (e.g., JPEG), and sends them to the server. Each photo contains the user ID.

[0302] Step 4:

[0303] The server converts the received photos into a standard format and stores them in a database. After storing them, it performs image analysis and performs preprocessing such as facial recognition.

[0304] Step 5:

[0305] The app uses an input field for users to enter an image or text of the hairstyle they want. Users can select an image of the hairstyle they want or write a description in text, such as "a natural bob with a slight curl."

[0306] Step 6:

[0307] The device sends the entered hairstyle image or text data to the server. The sent data includes the user ID.

[0308] Step 7:

[0309] The server analyzes the received data. The image analysis system extracts hairstyle features from the image, and the text analysis system extracts keywords from the input text.

[0310] Step 8:

[0311] The server combines the user's facial data with their desired hairstyle data, and uses a deep learning model to generate a hairstyle that matches the user's face shape.

[0312] Step 9:

[0313] The server renders the generated hairstyle in a 360-degree view to create a hairstyle image, which is then stored on the server and sent to the user.

[0314] Step 10:

[0315] The device receives the hairstyle image and displays it on the app, providing an interface that allows the user to check the hairstyle in 360 degrees and indicate any necessary adjustments.

[0316] Step 11:

[0317] The user inputs specific adjustment instructions such as "Make the bangs a little shorter" or "Add a little more volume." The interface includes a function to specify the area of ​​the adjustment.

[0318] Step 12:

[0319] The device sends the user's adjustment instructions to the server. The transmitted data includes the adjustment instructions and the user ID.

[0320] Step 13:

[0321] The server again uses the AI ​​model to adjust the hairstyle and generate an updated hairstyle image, which is then saved on the server and sent back to the user.

[0322] Step 14:

[0323] The server receives the user's facial expressions and analyzes them with the emotion engine, which generates emotion classification results such as joy, anxiety, and satisfaction.

[0324] Step 15:

[0325] The emotion engine will make hairstyle corrections and suggestions based on the emotion data, for example, if the user is not satisfied, it will suggest other hairstyle options.

[0326] Step 16:

[0327] The device presents suggestions from the emotion engine to the user, who then inputs new instructions based on the suggested adjustments.

[0328] Step 17:

[0329] The server makes adjustments based on the user's hair type data, personal color, and professional advice to generate the final hairstyle image.

[0330] Step 18:

[0331] The device displays the final hairstyle image and professional advice to the user, who then makes a final confirmation and taps the confirm button.

[0332] Step 19:

[0333] The device then shares the final image with the hairdresser. The transmitted data includes the user's ID and the final hairstyle image.

[0334] Step 20:

[0335] The hairdresser will create a treatment plan based on the final image received, and when the user receives treatment at the salon, they can use the shared image as a reference to achieve their ideal hairstyle.

[0336] Example 2

[0337] 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."

[0338] In the past, it was difficult for hairdressers to accurately communicate the user's desired hairstyle during communication between them. Furthermore, users lacked a way to visually confirm what hairstyle would suit them, which could lead to a decrease in satisfaction with the results. Furthermore, since hairstyle suggestions did not take the user's emotions into consideration, it was difficult to achieve the ideal hairstyle.

[0339] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for a user to upload images of themselves taken from multiple angles from a terminal to the server, a means for inputting images or text of the user's desired hairstyle to the server, a means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and data on the desired hairstyle, a means for the server to present the generated hairstyle image to the user's terminal and for the user to input adjustment instructions, a means for the server to again use the AI ​​model to modify the hairstyle based on the user's adjustment instructions, a means for the server to analyze the user's facial expression data and use an emotion engine to suggest hairstyle adjustments based on the user's emotions, a means for the server to generate a final hairstyle image that reflects the user's hair type data, personal color, and professional opinions and present it to the terminal, and a means for sharing the final hairstyle image with a hairdresser. This allows the user to visually confirm their desired hairstyle and receive adjustment suggestions based on their emotions, thereby realizing their ideal hairstyle.

[0340] "User" refers to an individual who uses the system to determine their own hairstyle.

[0341] "Terminal" refers to a device operated by a user (e.g., a smartphone or PC), and refers to a hardware or software device used to take photographs, enter data, display results, etc.

[0342] "Server" refers to a computer system that receives, stores, and analyzes data sent by users, and generates hairstyle images using a generative AI model and performs emotion analysis using an emotion engine.

[0343] "Generative AI model" refers to an artificial intelligence model that integrates a user's facial data with their desired hairstyle data and generates a hairstyle image according to the specified prompts.

[0344] A "prompt" is an instruction given to a generative AI model to obtain a specific output.

[0345] An "emotion engine" refers to an algorithm or software that analyzes a user's facial expression data, recognizes the user's emotions, and suggests hairstyle adjustments based on those emotions.

[0346] "Hair quality data" refers to information about the characteristics of a user's hair (e.g., hair thickness, hardness, volume, curl, etc.).

[0347] "Personal color" refers to information that indicates the range of colors that suit a user best based on their skin color, eye color, hair color, etc.

[0348] "Professional opinion" refers to evaluations and advice provided by hairdressers and other professionals regarding hairstyles and cutting methods that are suitable for users.

[0349] "Final hairstyle image" refers to the hairstyle image that is generated by the server based on the user's wishes, adjustment instructions, and professional opinions, and that is ultimately for the user to check.

[0350] This invention is a visual communication system that allows users to specifically define their ideal hairstyle, visually confirm it using a generative AI model, and share it with a hairdresser to realize their ideal hairstyle. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and suggests and adjusts hairstyles based on the user's emotions.

[0351] Hardware and software used

[0352] server:

[0353] High-performance computers

[0354] Image analysis algorithms (e.g., OpenCV)

[0355] Generative AI models (e.g., OpenAI's DALL-E)

[0356] Natural language processing engines (e.g. BERT)

[0357] Emotion engines (e.g., Affectiva)

[0358] Database System

[0359] Device:

[0360] Smartphone or PC

[0361] camera

[0362] Dedicated application

[0363] System operation procedures and processing flow

[0364] 1. User image upload:

[0365] Users use a smartphone app to take photos of themselves from multiple angles.

[0366] The device compresses the photos taken and sends them to the server.

[0367] The server converts the received image into JPEG format and stores it in the database.

[0368] The server uses image analysis algorithms to perform facial recognition processing and extract the necessary facial data.

[0369] 2. Enter the desired hairstyle:

[0370] Users can upload an image of the hairstyle they want to their app, or type "rounded bob" into the text field.

[0371] The terminal transmits the input data to the server.

[0372] The server analyzes the hairstyle image it receives using an image recognition model and extracts its features.

[0373] The server analyzes the text data using a natural language processing engine and extracts features.

[0374] 3. AI Hairstyle Generation:

[0375] The server combines the user's facial data with their desired hairstyle data.

[0376] The server uses the generative AI model to create a prompt.

[0377] The server inputs the prompt "Please display a round bob style in 360 degrees according to the user's face image" into the generative AI model and generates a 360-degree hairstyle image.

[0378] The terminal presents the generated hairstyle image to the user.

[0379] 4. User adjustment instructions:

[0380] The user can view the displayed hairstyle image in a 360-degree view.

[0381] The user inputs specific adjustment instructions into the device, such as "Make the bangs a little shorter."

[0382] The terminal sends this instruction to the server.

[0383] The server again inputs the prompt sentence into the generated AI model and generates an image of the corrected hairstyle.

[0384] The device presents the updated hairstyle image to the user.

[0385] 5. Emotion Recognition and Suggestion by Emotion Engine:

[0386] The server captures the user's facial expressions and analyzes them using an emotion engine.

[0387] The emotion engine recognizes the user's emotions (e.g., joy, anxiety, satisfaction, etc.).

[0388] Based on emotional data, the emotion engine makes suggestions for hairstyle adjustments, such as "I think it would be better if it was more rounded."

[0389] The user accepts the proposed adjustments and enters new instructions into the device.

[0390] The server again uses the generated AI model to adjust the hairstyle and generate an updated hairstyle image.

[0391] 6. Final hairstyle decisions and professional advice:

[0392] The server determines the final hairstyle based on the user's hair type data and personal color information.

[0393] The server takes the professional input of the hairdresser and generates the final hairstyle.

[0394] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[0395] The device shares the final image with the hairdresser and provides them with the information they need for the treatment.

[0396] The hairdresser will then carry out the treatment based on the final image shared with them.

[0397] This allows users to concretize the hairstyle that best suits their needs, and hairdressers can then perform the treatment appropriately based on that.

[0398] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0399] Step 1:

[0400] User-uploaded images

[0401] Input: A user opens a smartphone app and takes photos of themselves from multiple angles.

[0402] How it works: Users press the "upload" button in the dedicated app to send a photo.

[0403] The device compresses the photos it takes and sends them to the server. The compressed data is used to reduce file size and improve communication speed.

[0404] Output: Compressed image data.

[0405] Step 2:

[0406] Image storage and analysis by server

[0407] Input: Compressed image data.

[0408] How it works: The server converts the received image into JPEG format and stores it in a database. The server then uses an image analysis algorithm (e.g. OpenCV) to perform facial recognition and extract the necessary facial data.

[0409] Output: Facial feature point data and saved image.

[0410] Step 3:

[0411] User inputs desired hairstyle data

[0412] Input: An image or text of the hairstyle you want (e.g., "rounded bob").

[0413] How it works: Users upload an image of their desired hairstyle in a dedicated app or enter instructions in a text field. The device then sends this data to a server.

[0414] Output: Desired hairstyle data (image or text).

[0415] Step 4:

[0416] Server analyzes desired hairstyle data

[0417] Input: Desired hairstyle data (image or text).

[0418] How it works: The server analyzes the received hairstyle image using an image recognition model (e.g., ResNet) and extracts its features. The server analyzes the text data using a natural language processing engine (e.g., BERT) and extracts features.

[0419] Output: Hairstyle feature data.

[0420] Step 5:

[0421] Hairstyle image generation using AI

[0422] Input: User's face data and desired hairstyle feature data.

[0423] How it works: The server combines these data and uses a generative AI model (e.g., OpenAI's DALL-E) to input the prompt "Please show me a 360-degree image of a round bob hairstyle that matches the user's face image." The generated 360-degree hairstyle image is then obtained.

[0424] Output: 360-degree hairstyle image.

[0425] Step 6:

[0426] User checks hairstyle image and gives instructions for adjustment

[0427] Input: A 360-degree hairstyle image.

[0428] How it works: The user checks the generated hairstyle image in 360-degree view, then inputs specific adjustment instructions (e.g., "Make the bangs a little shorter") into the device and sends it.

[0429] Output: Adjustment instruction data.

[0430] Step 7:

[0431] Server-based hairstyle modification

[0432] Input: Adjustment instruction data.

[0433] How it works: The server again inputs the prompt "Please display a 360-degree image of a round bob style with slightly shorter bangs, matching the user's face image" into the generated AI model, and generates an image of the modified hairstyle.

[0434] Output: A rectified 360-degree hairstyle image.

[0435] Step 8:

[0436] Emotion recognition and suggestions using an emotion engine

[0437] Input: User's facial expression data.

[0438] How it works: The server captures the user's facial expressions and analyzes them with an emotion engine (e.g., Affectiva). It recognizes the user's emotions (e.g., joy, anxiety, satisfaction, etc.) and makes suggestions for hairstyle adjustments based on the emotion data (e.g., "It would be better if it was more rounded").

[0439] Output: Sentiment analysis results and adjustment suggestions.

[0440] Step 9:

[0441] Finalize and share your hairstyle

[0442] Input: Final hairstyle image and adjustment suggestions.

[0443] How it works: The server generates a final hairstyle image based on the user's hair type data, personal color information, and professional opinions, and displays it on the device. The user confirms and approves the final image, which is then shared with the hairdresser. The hairdresser then performs the treatment based on the final image.

[0444] Output: Final hairstyle image and shared data for the hairdresser.

[0445] (Application example 2)

[0446] 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."

[0447] Conventional hairstyle suggestion systems lack the means for users to visualize their ideal hairstyle and share it accurately with their hairdressers, resulting in low user satisfaction. Furthermore, they are unable to suggest hairstyles that take the user's emotions into account, making it difficult to adjust the hairstyle to the optimal one.

[0448] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for a user to upload images of themselves taken from multiple angles from a terminal to the server; means for inputting images or text of the user's desired hairstyle to the server; means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and data on the desired hairstyle; means for presenting the generated hairstyle image to the user's terminal and for the user to input adjustment instructions; means for the server to again use the AI ​​model to modify the hairstyle based on the user's adjustment instructions; means for using an emotion engine that recognizes the user's emotions to make hairstyle adjustment suggestions; and means for the server to generate a final hairstyle image that reflects advice from the user and a professional and present it to the terminal. This allows the user to visually confirm specific hairstyle images and receive optimal suggestions based on their emotions.

[0449] "User" refers to an individual who uses the system to visualize their hairstyle and receive adjustments and suggestions.

[0450] "Terminal" refers to an electronic device used by a user to upload images and data to the server and to check the generated hairstyle image.

[0451] "Server" refers to the central computer that processes images and data sent by users and generates and adjusts hairstyle images using generative AI models and emotion engines.

[0452] A "generative AI model" refers to an artificial intelligence model that generates 360-degree hairstyle images based on the user's facial data and desired hairstyle data.

[0453] An "emotion engine" is an engine that recognizes the user's emotions and suggests hairstyle adjustments based on those emotions.

[0454] "Hairstyle image" refers to a 360-degree visual hairstyle image generated by a generative AI model based on the user's facial data and desired hairstyle data.

[0455] "Adjustment instructions" refers to instructions that the user inputs into the terminal after checking the generated hairstyle image and specifying adjustments to the hairstyle.

[0456] "Professional advice" refers to opinions and suggestions from professionals such as hairdressers and hair stylists.

[0457] "Final hairstyle image" refers to the visual image of the final hairstyle generated by the server reflecting user and professional advice.

[0458] Generating a Program

[0459] The system for implementing this invention is based on a smartphone application and a cloud server. Each device has a specific role and uses the following hardware and software:

[0460] Hardware:

[0461] 1. Smartphone (device)

[0462] 2. Cloud server (AWS, etc.)

[0463] software:

[0464] 1. React Native (smartphone app development)

[0465] 2. Python (server side)

[0466] 3. TensorFlow (generative AI models, emotion recognition)

[0467] 4. OpenCV (Image Recognition and Processing)

[0468] Natural language processing explanation

[0469] User image upload

[0470] Users use a smartphone app to take pictures of themselves from multiple angles. These images are compressed and converted via React Native and sent to a cloud server via an API. The server receives the images, converts them into a unified format, and stores them in a database.

[0471] Enter your desired hairstyle data

[0472] Users input their hairstyle in text or image format, and this data is sent from the smartphone app to the server via an API, where it is analyzed and features of the hairstyle are extracted using TensorFlow.

[0473] Hairstyle generation by AI

[0474] The server combines the user's facial data with their desired hairstyle data, and generates a 360-degree hairstyle image using a generative AI model powered by TensorFlow. This image is then sent back to the smartphone via API and displayed to the user.

[0475] User adjustment instructions

[0476] The user can then review the generated hairstyle image and input any necessary adjustments via a smartphone app. This input data is then sent to a cloud server, which then uses the AI ​​model to regenerate the hairstyle.

[0477] Emotion recognition and suggestions using an emotion engine

[0478] The emotion engine on the server analyzes the user's facial expression data and recognizes emotions such as "satisfaction," "anxiety," and "happiness." The emotion data is processed using TensorFlow, and the system suggests optimal hairstyle adjustments.

[0479] Final hairstyle decisions and professional advice

[0480] The server generates the final hairstyle image, which is then finalized based on the user's and professional's advice. The finalized hairstyle image is shared with the hairdresser, who performs the hairstyle based on their instructions.

[0481] Specific examples

[0482] The user opens the app, takes three photos (front, side, and back), and uploads them. They then enter the text "casual bob cut." The server uses AI based on this data to generate a 360-degree image of the desired hairstyle. The user looks at the displayed image, inputs adjustment instructions such as "make the bangs a little shorter," and confirms the regenerated image. The user's facial expression data is used to read emotions such as "satisfaction" and "anxiety," and the app suggests the optimal adjustments. The final hairstyle image that the user has decided on is shared with the hairdresser, who then performs the treatment based on those instructions.

[0483] Prompt Sentence Examples

[0484] "Let's say a user wants a bob cut with rounded edges and check out the hairstyle in 360-degree view. Analyze the user's emotions, suggest optimal adjustments and finalize the hairstyle."

[0485] This system allows users to visually confirm specific hairstyle images and receive optimal suggestions based on their emotions. Hairdressers can then perform the treatment accurately based on those instructions, increasing user satisfaction.

[0486] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0487] Step 1:

[0488] A user opens a smartphone app and takes and uploads photos of themselves from multiple angles. For example, the user may take three photos (front, side, and back). These photos are compressed and converted on the device and sent to a cloud server via an API. The server receives the images, converts them into a unified format, and stores them in a database. This process allows the server to obtain and store the user's facial image data in a database.

[0489] Step 2:

[0490] The user inputs an image or text of the hairstyle they desire into the smartphone app. For example, the user can type "casual bob cut" into the text or upload an image. This data is sent from the device to the cloud server via API. The server receives the data, analyzes it, and extracts the characteristics of the hairstyle. This allows the server to obtain and analyze the user's desired hairstyle data.

[0491] Step 3:

[0492] The server combines the user's facial image data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model. Using TensorFlow, the AI ​​model inputs this data and generates a 3D image of the hairstyle that matches the user's face. This generated hairstyle image is then sent back to the smartphone via API and displayed to the user.

[0493] Step 4:

[0494] The user can check the 360-degree hairstyle image displayed on their smartphone and input any necessary adjustment instructions. For example, they can enter specific adjustment instructions such as "make the bangs a little shorter" into the app. These adjustment instructions are sent from the device to the server via API, and the server uses the generative AI model to modify the hairstyle based on these instructions. This generates a new hairstyle image based on the user's instructions.

[0495] Step 5:

[0496] The server uses an emotion engine to analyze the user's facial expression data. The user transmits their facial expression using a smartphone camera, and the server receives and analyzes the facial expression data, recognizing emotions such as "satisfaction," "anxiety," and "happiness." Based on this emotional data, the generative AI model suggests hairstyle adjustments that best suit the user's emotions. This allows the system to suggest the optimal hairstyle based on the user's emotions.

[0497] Step 6:

[0498] The server generates a final hairstyle image that reflects the user's feelings and professional advice. The image is then generated and the user makes a final confirmation via a smartphone app. The confirmed hairstyle image is shared with the hairdresser, who performs the treatment based on the user's instructions. This final confirmation and sharing process ensures that the user is satisfied with the hairstyle.

[0499] 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.

[0500] 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.

[0501] 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.

[0502] [Second embodiment]

[0503] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0504] 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.

[0505] 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).

[0506] 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.

[0507] 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.

[0508] 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).

[0509] 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.

[0510] 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.

[0511] 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.

[0512] 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.

[0513] 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.

[0514] 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."

[0515] This invention is a visual communication system that allows users to specifically define their ideal hairstyle, visually confirm it using a generation AI, and share it with a hairdresser, thereby realizing their ideal hairstyle.

[0516] The program of this system mainly performs the following processes.

[0517] 1. User image upload

[0518] Users upload their own photos taken from multiple angles from their devices to the server.

[0519] The device compresses these photos and sends them to the server.

[0520] The server converts the received images into a unified format and stores them in a database.

[0521] 2. Enter the desired hairstyle data

[0522] The user inputs an image or text of the hairstyle they want into the device.

[0523] The terminal transmits this data to the server.

[0524] The server analyzes the received desired hairstyle data and extracts its features.

[0525] 3. AI-based hairstyle generation

[0526] The server combines the user's facial data with their desired hairstyle data.

[0527] The server uses the generative AI model to generate a 360-degree hairstyle image.

[0528] The terminal presents the generated hairstyle image to the user.

[0529] 4. User adjustment instructions

[0530] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[0531] The terminal sends this instruction to the server.

[0532] The server again uses the AI ​​model to modify the hairstyle and generate an updated hairstyle image.

[0533] 5. Final hairstyle decision and professional advice

[0534] The server generates the final hairstyle image taking into account the user's hair type data, personal color, and professional advice.

[0535] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[0536] The device sends the final image to the hairdresser and shares it.

[0537] In this way, the system of the present invention allows users to specifically confirm their ideal hairstyle and accurately communicate it to their hairdresser. As a specific example, consider the process of confirming the ideal hairstyle by taking a photo of themselves with a smartphone and using an AI model to generate and adjust a hairstyle image based on the desired hairstyle. The final hairstyle image is shared with the hairdresser, who then performs the treatment based on the instructions and can achieve the desired result.

[0538] The processing flow will be explained below.

[0539] Step 1:

[0540] The user opens the smartphone app and taps the "Upload Photo" button. The user then takes photos of themselves from four angles: front, back, left and right.

[0541] Step 2:

[0542] The device takes photos, compresses them in a specified format (e.g., JPEG), and sends them to the server. Each photo is accompanied by metadata such as the user ID.

[0543] Step 3:

[0544] The server converts the received photos into a standard format and stores them in a database. After storing them, it performs image analysis and performs preprocessing such as facial recognition.

[0545] Step 4:

[0546] The app uses an input field for users to enter an image or text of the hairstyle they want. Select an image or describe it in text, such as "a natural bob with a slight curl."

[0547] Step 5:

[0548] The device sends the entered hairstyle image or text data to the server. The sent data includes the user ID.

[0549] Step 6:

[0550] The server analyzes the received data. The image analysis system extracts hairstyle features from the image, and the text analysis system extracts keywords from the input text.

[0551] Step 7:

[0552] The server combines the user's facial data with their desired hairstyle data, and uses a deep learning model to generate a hairstyle that matches the user's face shape.

[0553] Step 8:

[0554] The server renders the generated hairstyle in a 360-degree view to create a hairstyle image, which is then stored on the server and sent to the user.

[0555] Step 9:

[0556] The device receives the hairstyle image and displays it on the app, providing an interface that allows the user to check the hairstyle in 360 degrees and indicate any necessary adjustments.

[0557] Step 10:

[0558] The user inputs specific adjustment instructions such as "Make the bangs a little shorter" or "Add a little more volume." The interface includes a function to specify the area of ​​the adjustment.

[0559] Step 11:

[0560] The device sends the user's adjustment instructions to the server. The transmitted data includes the adjustment instructions and the user ID.

[0561] Step 12:

[0562] The server again uses the AI ​​model to adjust the hairstyle and generate an updated hairstyle image, which is then saved on the server and sent back to the user.

[0563] Step 13:

[0564] The server considers the user's hair type and personal color and generates the final hairstyle based on professional opinions. It compares it with a database of hair types and colors to select the most suitable style.

[0565] Step 14:

[0566] The device will present the user with the final hairstyle image and professional advice, after which the user can make a final confirmation and tap the confirm button.

[0567] Step 15:

[0568] The device then shares the final image with the hairdresser. The transmitted data includes the user's ID and the final hairstyle image.

[0569] Step 16:

[0570] The hairdresser will create a treatment plan based on the final image received, and when the user receives treatment at the salon, they can use the shared image as a reference to achieve their ideal hairstyle.

[0571] Example 1

[0572] 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."

[0573] A common problem with modern beauty services is that it is difficult for users to specifically communicate their ideal hairstyle. This makes it difficult for hairdressers to accurately understand and realize the user's wishes, often resulting in low user satisfaction. Furthermore, users are unable to get a clear image of their hairstyle based on photos of themselves taken from multiple angles, leading to ambiguous communication when giving instructions for adjustments. New technology is needed to solve this problem.

[0574] 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.

[0575] In this invention, the server includes: means for a user to upload images of themselves taken from multiple angles from a terminal to the server; means for the terminal to compress the uploaded images and send them to the server; means for the server to convert the received images into a unified format and store them in a database; means for the user to input an image or text of their desired hairstyle into the terminal and for the terminal to send it to the server; means for the server to analyze the desired hairstyle data and extract features; means for the server to integrate the user's facial data and desired hairstyle data and generate a 360-degree hairstyle image using a generative AI model; means for the server to present the generated hairstyle image to the user's terminal and for the user to input specific adjustment instructions; means for the terminal to send the user's adjustment instructions to the server; means for the server to again use the generative AI model to modify the hairstyle and generate an updated hairstyle image; and means for the server to generate a final hairstyle image taking into account the user's hair type data, personal color, and professional advice and present it to the terminal. This allows the user to specifically visualize their ideal hairstyle and accurately convey it to a hairdresser.

[0576] "User" refers to an individual who uses the System.

[0577] "Terminal" refers to an electronic device operated by a user (e.g., smartphone, computer, tablet).

[0578] "Server" refers to the central system that receives, processes, and stores data transmitted by a user.

[0579] "Image compression" refers to the process of reducing the amount of information in an image to reduce its data size.

[0580] "Unified format" refers to converting data into a unified format to ensure data compatibility.

[0581] A "database" refers to a system that stores large amounts of data in an organized manner and enables efficient search and use as needed.

[0582] An "analysis engine" refers to software or algorithms that analyze input data and extract its characteristics and features.

[0583] "Hairstyle data" refers to information such as images and text relating to the hairstyle desired by the user.

[0584] A "generative AI model" refers to a trained model that uses artificial intelligence to generate new images and data.

[0585] "360-degree view" refers to a three-dimensional display format that can be observed from all directions.

[0586] "Adjustment instructions" refers to input information that allows a user to specify intended changes or fine-tuning.

[0587] "Hair Quality Data" refers to information regarding the characteristics of a User's hair (e.g., thickness, stiffness, density).

[0588] "Personal Color" refers to an individual color combination based on the user's skin, eye, and hair color.

[0589] "Professional advice" refers to advice on styling and hairstyles provided by a professional such as a hairdresser.

[0590] "Hairstyle Image" refers to the visual representation of an ideal hairstyle generated by a generative AI model.

[0591] A "hairdresser" is a professional who cuts, styles, and cares for hair.

[0592] This is a visual communication system that allows users to set their ideal hairstyle, visually confirm it using a generative AI model, and share it with a hairdresser to achieve their ideal hairstyle. The program for this system is realized using three main components: the user, the terminal, and the server.

[0593] First, the user takes photos of themselves from multiple angles using a device such as a smartphone or PC. The device then compresses the images and sends them to the server. Specifically, the device's camera function is used to capture the images, which are then compressed to convert them into a unified format such as JPEG or PNG.

[0594] The server then converts the received images into a unified format and stores them in a database. This process requires image analysis, and image processing libraries such as OpenCV are used to efficiently process the images. The server stores this data and prepares it for subsequent processing.

[0595] The user inputs data (image or text) about the hairstyle they want into the device, which then sends it to the server. The server analyzes the received hairstyle data and extracts its features. The analysis engine can perform text analysis using an NLP library (natural language processing library).

[0596] The server combines the user's facial data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model (e.g., the StyleGAN model). The generated hairstyle image is sent to the device and presented to the user. This image generation process allows the user to see their ideal hairstyle from all angles.

[0597] The user reviews the generated hairstyle image and inputs specific adjustment instructions into the device. The device then sends this to the server, which again uses the generated AI model to modify the hairstyle and generate an updated hairstyle image. This iterative process allows the user to further refine their ideal hairstyle.

[0598] Finally, the server generates a final hairstyle image taking into account the user's hair type data, personal color, and professional advice. This data also includes advice provided by professional hairdressers. The final image is then displayed on the device again for the user to review and confirm. The confirmed image is then shared with the hairdresser via the device.

[0599] Specific examples

[0600] For example, users can take photos of their face from three angles with their smartphone: the front, the side, and the back. They then use the app to upload these images to the system. When users input their desired hairstyle, they specify characteristics with text, such as "long straight hair, with bangs, brown." Alternatively, they can upload a reference image of the desired hairstyle.

[0601] Prompt Sentence Examples

[0602] "Please enter the characteristics of your ideal hairstyle (e.g., long straight hair, with bangs, brown)."

[0603] "Please upload a reference image of the hairstyle you want."

[0604] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0605] Step 1: Upload a user image

[0606] Specific operation:

[0607] Users use their smartphone or computer camera to take photos of themselves from the front, side, and back.

[0608] The device receives these images and saves them in JPEG or PNG format.

[0609] Input: Images of the user taken from multiple angles.

[0610] Data processing: The device compresses the image to reduce its size.

[0611] Output: Compressed image files.

[0612] Step 2: Send and save the image

[0613] Specific operation:

[0614] The terminal sends the compressed image file to the server.

[0615] The server uses the OpenCV library to analyze the images received and convert them into a unified format.

[0616] The server stores the converted image data in a database.

[0617] Input: Compressed image files.

[0618] Data processing: Convert to a standardized image format (e.g., JPEG, PNG).

[0619] Output: Image data in a unified format is stored in a database.

[0620] Step 3: Enter your desired hairstyle data

[0621] Specific operation:

[0622] The user inputs an image or text of the hairstyle they want into the device application.

[0623] The device sends this data (images and text) to the server.

[0624] Input: Image or text information of the hairstyle you want.

[0625] Data calculation: The server uses an NLP library to analyze the text data and extract hairstyle features.

[0626] Output: Parsed hairstyle feature data.

[0627] Step 4: Hairstyle generation by AI

[0628] Specific operation:

[0629] The server retrieves the user's facial data and desired hairstyle characteristics data from the database.

[0630] The server inputs facial data and feature data into a generative AI model (e.g., StyleGAN) to generate a 360-degree hairstyle image.

[0631] The device displays the generated hairstyle image to the user.

[0632] Input: User's face data and desired hairstyle feature data.

[0633] Data calculation: The generative AI model generates a 360-degree view of the hairstyle.

[0634] Output: The generated 360-degree view hairstyle image.

[0635] Step 5: Enter and modify adjustment instructions

[0636] Specific operation:

[0637] The user checks the generated hairstyle image and inputs adjustment instructions for specific parts into the terminal.

[0638] The device sends the user's input data to the server.

[0639] The server will then use the generated AI model to modify the hairstyle.

[0640] The server generates an updated hairstyle image and transmits it to the terminal.

[0641] Input: User adjustment instructions.

[0642] Data calculation: The generative AI model regenerates the hairstyle image based on the adjustment instructions.

[0643] Output: The modified hairstyle image.

[0644] Step 6: Finalize and share your hairstyle

[0645] Specific operation:

[0646] The server generates the final hairstyle image taking into consideration the user's hair type data, personal color and professional advice.

[0647] The device will then present the final hairstyle image to the user.

[0648] The user reviews and confirms the final image.

[0649] The device sends the finalized image to the server, which then shares it with the hairdresser.

[0650] Input: User's hair type data, personal color, and professional advice.

[0651] Data calculation: The server considers all the data and generates the final hairstyle image.

[0652] Output: Final hairstyle image presented to the user, and image shared with the hairdresser.

[0653] (Application example 1)

[0654] 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."

[0655] With traditional communication methods at hair salons, it was difficult for users to specifically communicate their ideal hairstyle to the hairdresser, resulting in a finish that often differed from their ideal. Even when users input images or text of the hairstyle they wanted, the intention was not conveyed through flat visual information alone, and a 360-degree view was not possible, making it difficult to share an accurate image. Furthermore, it was unclear whether the final hairstyle would suit the user's hair type and personal color, forcing users to rely on the hairdresser's skill.

[0656] 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.

[0657] In this invention, the server includes: a means for a user to upload images of themselves taken from multiple angles from a terminal to the server; a means for inputting images or text of the user's desired hairstyle to the server; a means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and the desired hairstyle data; a means for presenting the generated hairstyle image to the user's terminal and for the user to input adjustment instructions; a means for the server to modify the hairstyle using the generative AI model based on the user's adjustment instructions; a means for the server to generate a final hairstyle image that reflects the user's and professional advice and present it to the terminal; and a means for sharing the final hairstyle image presented on the terminal with a hairdresser and providing instructions for the hairdresser to perform the treatment. This allows the user to specifically confirm their ideal hairstyle and share it with the hairdresser through effective communication. Furthermore, by suggesting an optimal hairstyle that takes into account the user's hair type data and personal color, a highly satisfying finish can be achieved.

[0658] A "generative AI model" is an algorithm that uses artificial intelligence to generate new data from specific data.

[0659] A "server" is a type of computer system that exchanges and processes data over a network.

[0660] "User terminal" refers to a device that is directly operated by the user, such as a smartphone or PC.

[0661] A "hairstyle image" is visual information of a hairstyle that can be viewed from all directions and is generated based on a user's facial image and desired hairstyle data.

[0662] The "adjustment instructions" refer to instructions for changes that reflect the user's wishes to make to the generated hairstyle image.

[0663] "Professional advice" refers to technical suggestions and advice provided by professionals such as hairdressers and stylists regarding a user's hairstyle.

[0664] "Hair Quality Data" refers to information regarding the characteristics of a User's hair (e.g., thickness, curl, volume, toughness, etc.).

[0665] "Personal colors" are a group of colors that are said to best match the user's skin tone and are used as a reference when deciding on a hairstyle.

[0666] A "hairdresser" refers to a professional who styles a user's hairstyle.

[0667] MODE FOR CARRYING OUT THE INVENTION

[0668] To implement this invention, it is necessary to build a system that effectively utilizes a server, user terminals (smartphones or PCs), and generative AI models. The system of the present invention is configured as follows.

[0669] How the program is implemented

[0670] 1. User image upload

[0671] Users take images of their face from multiple angles and upload them to the system from their device, such as a smartphone or computer.

[0672] The terminal appropriately compresses these images and transmits them over the network to the server.

[0673] The server converts the received images into a unified format (e.g., 224x224 pixels) and stores them in a database.

[0674] 2. Enter the desired hairstyle data

[0675] The user inputs an image or text of the desired hairstyle into the user terminal.

[0676] The terminal transmits this data to the server.

[0677] The server analyzes the received hairstyle data and extracts its features using natural language processing (NLP) and image analysis algorithms.

[0678] 3. Hairstyle generation by AI

[0679] The server combines the user's facial data with their desired hairstyle data and uses a generative AI model to generate a 360-degree hairstyle image.

[0680] This generative AI model is built using machine learning frameworks such as Keras and TensorFlow.

[0681] The terminal presents the generated hairstyle image to the user.

[0682] 4. User adjustment instructions

[0683] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[0684] The terminal sends this instruction to the server.

[0685] The server again uses the generative AI model to modify the hairstyle based on the user's adjustment instructions.

[0686] 5. Final hairstyle decision and professional advice

[0687] The server takes into account the user's hair type and personal color data and generates the final hairstyle image, using an algorithm that takes into account the user's hair type and fashion advice.

[0688] The final hairstyle image is displayed on the device for the user and hairdresser to review.

[0689] Based on this information, hairdressers can provide treatments that meet the user's wishes.

[0690] Examples and prompts

[0691] For example, consider a case where a user uses an application called "Smart Hair Design Assistant (tentative name)," which assists the user in the process of importing a photo of themselves, inputting the desired hairstyle, and generating the final hairstyle.

[0692] Examples of input prompts for generative AI models:

[0693] "Enter the face image of user ID: 12345 and the desired hairstyle of 'semi-long, with bangs, curly hair' to generate a new hairstyle image."

[0694] Based on this prompt, the generative AI model generates a hairstyle image and displays it on the user's smartphone or computer, allowing users to easily simulate their ideal hairstyle at home or at the salon and effectively communicate with their hairdresser.

[0695] As described above, this system allows users to confirm their ideal hairstyle in detail and accurately communicate it to the hairdresser. The final hairstyle image is shared with the hairdresser, so the hairdresser can perform the treatment based on the instructions and achieve the finish that the user desires.

[0696] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0697] Step 1:

[0698] The user takes pictures of themselves from multiple angles and uploads them to the server from their device. The user takes pictures of their face from multiple angles using a smartphone camera and uploads the image data through the application. At this time, the images are appropriately compressed and sent to the server via the network. The server converts the received images into a unified format (e.g., 224x224 pixels) and stores them in a database.

[0699] Input: Face images taken from multiple angles

[0700] Output: Images converted to a unified format

[0701] Step 2:

[0702] The user inputs an image or text of the hairstyle they want into the device. The user inputs an image of the hairstyle they want or a text description of the hairstyle through the application. This data is sent to the server via the network. The server analyzes the received data and extracts the characteristics of the desired hairstyle.

[0703] Input: Image or text of desired hairstyle

[0704] Output: Hairstyle feature data

[0705] Step 3:

[0706] The server uses a generative AI model to generate a 360-degree hairstyle image based on the user's image and desired hairstyle data. The server inputs the user's face data and desired hairstyle feature data and generates a 360-degree hairstyle image using the generative AI model. This generative AI model is built using machine learning frameworks such as Keras and TensorFlow.

[0707] Input: User's face data, desired hairstyle feature data

[0708] Output: 360-degree hairstyle image

[0709] Step 4:

[0710] The generated hairstyle image is presented to the user's device, and the user inputs adjustment instructions. The server then sends the generated hairstyle image to the user's device, which then displays the image to the user. The user checks the image and, if necessary, inputs adjustment instructions through the application.

[0711] Input: Generated 360-degree hairstyle image

[0712] Output: User adjustment instructions

[0713] Step 5:

[0714] Based on the user's adjustment instructions, the server uses the generative AI model to modify the hairstyle. The server receives the user's adjustment instructions and again uses the generative AI model based on those instructions to modify the hairstyle.

[0715] Input: User adjustment instructions

[0716] Output: Modified hairstyle image

[0717] Step 6:

[0718] The server generates a final hairstyle image that reflects the user's and professional's advice and displays it on the device. The server then generates the final hairstyle, taking into account the user's hair type data, personal color, and professional advice. The final hairstyle image is sent to the user's device, where it is reviewed by the user and hairdresser.

[0719] Input: User's hair type data, personal color, professional advice

[0720] Output: Final hairstyle image

[0721] Step 7:

[0722] The final hairstyle image displayed on the device is shared with the hairdresser, who provides instructions for the hairdresser to perform the treatment.The final hairstyle image displayed on the user's device is also shared with the hairdresser.The hairdresser will use this image to perform the treatment according to the user's wishes.

[0723] Input: Final hairstyle image

[0724] Output: Treatment instructions by a hairdresser

[0725] 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.

[0726] This is a visual communication system that allows users to set their ideal hairstyle, visually confirm it using a generation AI, and share it with a hairdresser to realize their ideal hairstyle. Furthermore, this system incorporates an emotion engine that recognizes the user's emotions and suggests and adjusts hairstyles based on the user's emotions.

[0727] The program of this system includes the following processing steps:

[0728] 1. User image upload

[0729] Users upload their own photos taken from multiple angles from their devices to the server.

[0730] The device compresses the photos taken and sends them to the server.

[0731] The server converts the received images into a unified format and stores them in a database.

[0732] 2. Enter the desired hairstyle data

[0733] Use the app's input field to enter an image or text of the hairstyle the user desires.

[0734] The terminal transmits this data to the server.

[0735] The server analyzes the received desired hairstyle data and extracts its features.

[0736] 3. Hairstyle generation by AI

[0737] The server combines the user's facial data with their desired hairstyle data.

[0738] The server uses the generative AI model to generate a 360-degree hairstyle image.

[0739] The terminal presents the generated hairstyle image to the user.

[0740] 4. User adjustment instructions

[0741] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[0742] The terminal sends this instruction to the server.

[0743] The server again uses the AI ​​model to modify the hairstyle and generate an updated hairstyle image.

[0744] 5. Emotion Recognition and Suggestion by Emotion Engine

[0745] The server analyzes the user's facial expression data and uses an emotion engine to recognize the user's emotions (e.g., joy, anxiety, satisfaction, etc.).

[0746] An emotion engine suggests hairstyle adjustments based on recognized emotions.

[0747] The user inputs new instructions based on the proposed adjustments.

[0748] 6. Final hairstyle decision and professional advice

[0749] The server generates the final hairstyle based on the user's hair type data, personal color, and professional opinions.

[0750] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[0751] The device shares the final image with the hairdresser, who then performs the treatment.

[0752] Specific examples

[0753] 1. Upload an image

[0754] Users open the smartphone app and take and upload photos of themselves from multiple angles.

[0755] The server receives the images and performs analysis.

[0756] 2. Enter your desired hairstyle

[0757] Users can upload a hairstyle image from a magazine into the app, or type in the text "rounded bob."

[0758] The server analyzes the desired hairstyle data and extracts features.

[0759] 3. Hairstyle generation by AI

[0760] The server combines the user's facial data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model.

[0761] The terminal displays the generated hairstyle image.

[0762] 4. User adjustment instructions

[0763] The user can view the hairstyle image in 360 degrees and input specific adjustment instructions, such as "make the bangs a little shorter."

[0764] 5. Emotion Recognition and Suggestion by Emotion Engine

[0765] The server analyzes the user's facial expression data and recognizes emotions such as "satisfaction," "anxiety," and "happiness."

[0766] If the emotion engine is not in a "satisfied" state, it will suggest further adjustments.

[0767] 6. Final hairstyle decision and professional advice

[0768] The server generates the final hairstyle image and finalizes it based on user and professional advice.

[0769] The device shares the final image with the hairdresser, who then performs the treatment based on the instructions.

[0770] This allows users to concretize the hairstyle that best suits their needs, and hairdressers can then perform the treatment appropriately based on that.

[0771] The processing flow will be explained below.

[0772] Step 1:

[0773] A user opens the smartphone app, the app's startup screen appears, and the user selects the "Upload a photo" button.

[0774] Step 2:

[0775] Users take photos of themselves from four angles: front, back, left and right, and a preview of each photo is displayed in the app.

[0776] Step 3:

[0777] The device takes photos, compresses them in the specified format (e.g., JPEG), and sends them to the server. Each photo contains the user ID.

[0778] Step 4:

[0779] The server converts the received photos into a standard format and stores them in a database. After storing them, it performs image analysis and performs preprocessing such as facial recognition.

[0780] Step 5:

[0781] The app uses an input field for users to enter an image or text of the hairstyle they want. Users can select an image of the hairstyle they want or write a description in text, such as "a natural bob with a slight curl."

[0782] Step 6:

[0783] The device sends the entered hairstyle image or text data to the server. The sent data includes the user ID.

[0784] Step 7:

[0785] The server analyzes the received data. The image analysis system extracts hairstyle features from the image, and the text analysis system extracts keywords from the input text.

[0786] Step 8:

[0787] The server combines the user's facial data with their desired hairstyle data, and uses a deep learning model to generate a hairstyle that matches the user's face shape.

[0788] Step 9:

[0789] The server renders the generated hairstyle in a 360-degree view to create a hairstyle image, which is then stored on the server and sent to the user.

[0790] Step 10:

[0791] The device receives the hairstyle image and displays it on the app, providing an interface that allows the user to check the hairstyle in 360 degrees and indicate any necessary adjustments.

[0792] Step 11:

[0793] The user inputs specific adjustment instructions such as "Make the bangs a little shorter" or "Add a little more volume." The interface includes a function to specify the area of ​​the adjustment.

[0794] Step 12:

[0795] The device sends the user's adjustment instructions to the server. The transmitted data includes the adjustment instructions and the user ID.

[0796] Step 13:

[0797] The server again uses the AI ​​model to adjust the hairstyle and generate an updated hairstyle image, which is then saved on the server and sent back to the user.

[0798] Step 14:

[0799] The server receives the user's facial expressions and analyzes them with the emotion engine, which generates emotion classification results such as joy, anxiety, and satisfaction.

[0800] Step 15:

[0801] The emotion engine will make hairstyle corrections and suggestions based on the emotion data, for example, if the user is not satisfied, it will suggest other hairstyle options.

[0802] Step 16:

[0803] The device presents suggestions from the emotion engine to the user, who then inputs new instructions based on the suggested adjustments.

[0804] Step 17:

[0805] The server makes adjustments based on the user's hair type data, personal color, and professional advice to generate the final hairstyle image.

[0806] Step 18:

[0807] The device displays the final hairstyle image and professional advice to the user, who then makes a final confirmation and taps the confirm button.

[0808] Step 19:

[0809] The device then shares the final image with the hairdresser. The transmitted data includes the user's ID and the final hairstyle image.

[0810] Step 20:

[0811] The hairdresser will create a treatment plan based on the final image received, and when the user receives treatment at the salon, they can use the shared image as a reference to achieve their ideal hairstyle.

[0812] Example 2

[0813] 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."

[0814] In the past, it was difficult for hairdressers to accurately communicate the user's desired hairstyle during communication between them. Furthermore, users lacked a way to visually confirm what hairstyle would suit them, which could lead to a decrease in satisfaction with the results. Furthermore, since hairstyle suggestions did not take the user's emotions into consideration, it was difficult to achieve the ideal hairstyle.

[0815] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for a user to upload images of themselves taken from multiple angles from a terminal to the server, a means for inputting images or text of the user's desired hairstyle to the server, a means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and data on the desired hairstyle, a means for the server to present the generated hairstyle image to the user's terminal and for the user to input adjustment instructions, a means for the server to again use the AI ​​model to modify the hairstyle based on the user's adjustment instructions, a means for the server to analyze the user's facial expression data and use an emotion engine to suggest hairstyle adjustments based on the user's emotions, a means for the server to generate a final hairstyle image that reflects the user's hair type data, personal color, and professional opinions and present it to the terminal, and a means for sharing the final hairstyle image with a hairdresser. This allows the user to visually confirm their desired hairstyle and receive adjustment suggestions based on their emotions, thereby realizing their ideal hairstyle.

[0816] "User" refers to an individual who uses the system to determine their own hairstyle.

[0817] "Terminal" refers to a device operated by a user (e.g., a smartphone or PC), and refers to a hardware or software device used to take photographs, enter data, display results, etc.

[0818] "Server" refers to a computer system that receives, stores, and analyzes data sent by users, and generates hairstyle images using a generative AI model and performs emotion analysis using an emotion engine.

[0819] "Generative AI model" refers to an artificial intelligence model that integrates a user's facial data with their desired hairstyle data and generates a hairstyle image according to the specified prompts.

[0820] A "prompt" is an instruction given to a generative AI model to obtain a specific output.

[0821] An "emotion engine" refers to an algorithm or software that analyzes a user's facial expression data, recognizes the user's emotions, and suggests hairstyle adjustments based on those emotions.

[0822] "Hair quality data" refers to information about the characteristics of a user's hair (e.g., hair thickness, hardness, volume, curl, etc.).

[0823] "Personal color" refers to information that indicates the range of colors that suit a user best based on their skin color, eye color, hair color, etc.

[0824] "Professional opinion" refers to evaluations and advice provided by hairdressers and other professionals regarding hairstyles and cutting methods that are suitable for users.

[0825] "Final hairstyle image" refers to the hairstyle image that is generated by the server based on the user's wishes, adjustment instructions, and professional opinions, and that is ultimately for the user to check.

[0826] This invention is a visual communication system that allows users to specifically define their ideal hairstyle, visually confirm it using a generative AI model, and share it with a hairdresser to realize their ideal hairstyle. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and suggests and adjusts hairstyles based on the user's emotions.

[0827] Hardware and software used

[0828] server:

[0829] High-performance computers

[0830] Image analysis algorithms (e.g., OpenCV)

[0831] Generative AI models (e.g., OpenAI's DALL-E)

[0832] Natural language processing engines (e.g. BERT)

[0833] Emotion engines (e.g., Affectiva)

[0834] Database System

[0835] Device:

[0836] Smartphone or PC

[0837] camera

[0838] Dedicated application

[0839] System operation procedures and processing flow

[0840] 1. User image upload:

[0841] Users use a smartphone app to take photos of themselves from multiple angles.

[0842] The device compresses the photos taken and sends them to the server.

[0843] The server converts the received image into JPEG format and stores it in the database.

[0844] The server uses image analysis algorithms to perform facial recognition processing and extract the necessary facial data.

[0845] 2. Enter the desired hairstyle:

[0846] Users can upload an image of the hairstyle they want to their app, or type "rounded bob" into the text field.

[0847] The terminal transmits the input data to the server.

[0848] The server analyzes the hairstyle image it receives using an image recognition model and extracts its features.

[0849] The server analyzes the text data using a natural language processing engine and extracts features.

[0850] 3. AI Hairstyle Generation:

[0851] The server combines the user's facial data with their desired hairstyle data.

[0852] The server uses the generative AI model to create a prompt.

[0853] The server inputs the prompt "Please display a round bob style in 360 degrees according to the user's face image" into the generative AI model and generates a 360-degree hairstyle image.

[0854] The terminal presents the generated hairstyle image to the user.

[0855] 4. User adjustment instructions:

[0856] The user can view the displayed hairstyle image in a 360-degree view.

[0857] The user inputs specific adjustment instructions into the device, such as "Make the bangs a little shorter."

[0858] The terminal sends this instruction to the server.

[0859] The server again inputs the prompt sentence into the generated AI model and generates an image of the corrected hairstyle.

[0860] The device presents the updated hairstyle image to the user.

[0861] 5. Emotion Recognition and Suggestion by Emotion Engine:

[0862] The server captures the user's facial expressions and analyzes them using an emotion engine.

[0863] The emotion engine recognizes the user's emotions (e.g., joy, anxiety, satisfaction, etc.).

[0864] Based on emotional data, the emotion engine makes suggestions for hairstyle adjustments, such as "I think it would be better if it was more rounded."

[0865] The user accepts the proposed adjustments and enters new instructions into the device.

[0866] The server again uses the generated AI model to adjust the hairstyle and generate an updated hairstyle image.

[0867] 6. Final hairstyle decisions and professional advice:

[0868] The server determines the final hairstyle based on the user's hair type data and personal color information.

[0869] The server takes the professional input of the hairdresser and generates the final hairstyle.

[0870] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[0871] The device shares the final image with the hairdresser and provides them with the information they need for the treatment.

[0872] The hairdresser will then carry out the treatment based on the final image shared with them.

[0873] This allows users to concretize the hairstyle that best suits their needs, and hairdressers can then perform the treatment appropriately based on that.

[0874] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0875] Step 1:

[0876] User-uploaded images

[0877] Input: A user opens a smartphone app and takes photos of themselves from multiple angles.

[0878] How it works: Users press the "upload" button in the dedicated app to send a photo.

[0879] The device compresses the photos it takes and sends them to the server. The compressed data is used to reduce file size and improve communication speed.

[0880] Output: Compressed image data.

[0881] Step 2:

[0882] Image storage and analysis by server

[0883] Input: Compressed image data.

[0884] How it works: The server converts the received image into JPEG format and stores it in a database. The server then uses an image analysis algorithm (e.g. OpenCV) to perform facial recognition and extract the necessary facial data.

[0885] Output: Facial feature point data and saved image.

[0886] Step 3:

[0887] User inputs desired hairstyle data

[0888] Input: An image or text of the hairstyle you want (e.g., "rounded bob").

[0889] How it works: Users upload an image of their desired hairstyle in a dedicated app or enter instructions in a text field. The device then sends this data to a server.

[0890] Output: Desired hairstyle data (image or text).

[0891] Step 4:

[0892] Server analyzes desired hairstyle data

[0893] Input: Desired hairstyle data (image or text).

[0894] How it works: The server analyzes the received hairstyle image using an image recognition model (e.g., ResNet) and extracts its features. The server analyzes the text data using a natural language processing engine (e.g., BERT) and extracts features.

[0895] Output: Hairstyle feature data.

[0896] Step 5:

[0897] Hairstyle image generation using AI

[0898] Input: User's face data and desired hairstyle feature data.

[0899] How it works: The server combines these data and uses a generative AI model (e.g., OpenAI's DALL-E) to input the prompt "Please show me a 360-degree image of a round bob hairstyle that matches the user's face image." The generated 360-degree hairstyle image is then obtained.

[0900] Output: 360-degree hairstyle image.

[0901] Step 6:

[0902] User checks hairstyle image and gives instructions for adjustment

[0903] Input: A 360-degree hairstyle image.

[0904] How it works: The user checks the generated hairstyle image in 360-degree view, then inputs specific adjustment instructions (e.g., "Make the bangs a little shorter") into the device and sends it.

[0905] Output: Adjustment instruction data.

[0906] Step 7:

[0907] Server-based hairstyle modification

[0908] Input: Adjustment instruction data.

[0909] How it works: The server again inputs the prompt "Please display a 360-degree image of a round bob style with slightly shorter bangs, matching the user's face image" into the generated AI model, and generates an image of the modified hairstyle.

[0910] Output: A rectified 360-degree hairstyle image.

[0911] Step 8:

[0912] Emotion recognition and suggestions using an emotion engine

[0913] Input: User's facial expression data.

[0914] How it works: The server captures the user's facial expressions and analyzes them with an emotion engine (e.g., Affectiva). It recognizes the user's emotions (e.g., joy, anxiety, satisfaction, etc.) and makes suggestions for hairstyle adjustments based on the emotion data (e.g., "It would be better if it was more rounded").

[0915] Output: Sentiment analysis results and adjustment suggestions.

[0916] Step 9:

[0917] Finalize and share your hairstyle

[0918] Input: Final hairstyle image and adjustment suggestions.

[0919] How it works: The server generates a final hairstyle image based on the user's hair type data, personal color information, and professional opinions, and displays it on the device. The user confirms and approves the final image, which is then shared with the hairdresser. The hairdresser then performs the treatment based on the final image.

[0920] Output: Final hairstyle image and shared data for the hairdresser.

[0921] (Application example 2)

[0922] 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."

[0923] Conventional hairstyle suggestion systems lack the means for users to visualize their ideal hairstyle and share it accurately with their hairdressers, resulting in low user satisfaction. Furthermore, they are unable to suggest hairstyles that take the user's emotions into account, making it difficult to adjust the hairstyle to the optimal one.

[0924] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for a user to upload images of themselves taken from multiple angles from a terminal to the server; means for inputting images or text of the user's desired hairstyle to the server; means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and data on the desired hairstyle; means for presenting the generated hairstyle image to the user's terminal and for the user to input adjustment instructions; means for the server to again use the AI ​​model to modify the hairstyle based on the user's adjustment instructions; means for using an emotion engine that recognizes the user's emotions to make hairstyle adjustment suggestions; and means for the server to generate a final hairstyle image that reflects advice from the user and a professional and present it to the terminal. This allows the user to visually confirm specific hairstyle images and receive optimal suggestions based on their emotions.

[0925] "User" refers to an individual who uses the system to visualize their hairstyle and receive adjustments and suggestions.

[0926] "Terminal" refers to an electronic device used by a user to upload images and data to the server and to check the generated hairstyle image.

[0927] "Server" refers to the central computer that processes images and data sent by users and generates and adjusts hairstyle images using generative AI models and emotion engines.

[0928] A "generative AI model" refers to an artificial intelligence model that generates 360-degree hairstyle images based on the user's facial data and desired hairstyle data.

[0929] An "emotion engine" is an engine that recognizes the user's emotions and suggests hairstyle adjustments based on those emotions.

[0930] "Hairstyle image" refers to a 360-degree visual hairstyle image generated by a generative AI model based on the user's facial data and desired hairstyle data.

[0931] "Adjustment instructions" refers to instructions that the user inputs into the terminal after checking the generated hairstyle image and specifying adjustments to the hairstyle.

[0932] "Professional advice" refers to opinions and suggestions from professionals such as hairdressers and hair stylists.

[0933] "Final hairstyle image" refers to the visual image of the final hairstyle generated by the server reflecting user and professional advice.

[0934] Generating a Program

[0935] The system for implementing this invention is based on a smartphone application and a cloud server. Each device has a specific role and uses the following hardware and software:

[0936] Hardware:

[0937] 1. Smartphone (device)

[0938] 2. Cloud server (AWS, etc.)

[0939] software:

[0940] 1. React Native (smartphone app development)

[0941] 2. Python (server side)

[0942] 3. TensorFlow (generative AI models, emotion recognition)

[0943] 4. OpenCV (Image Recognition and Processing)

[0944] Natural language processing explanation

[0945] User image upload

[0946] Users use a smartphone app to take pictures of themselves from multiple angles. These images are compressed and converted via React Native and sent to a cloud server via an API. The server receives the images, converts them into a unified format, and stores them in a database.

[0947] Enter your desired hairstyle data

[0948] Users input their hairstyle in text or image format, and this data is sent from the smartphone app to the server via an API, where it is analyzed and features of the hairstyle are extracted using TensorFlow.

[0949] Hairstyle generation by AI

[0950] The server combines the user's facial data with their desired hairstyle data, and generates a 360-degree hairstyle image using a generative AI model powered by TensorFlow. This image is then sent back to the smartphone via API and displayed to the user.

[0951] User adjustment instructions

[0952] The user can then review the generated hairstyle image and input any necessary adjustments via a smartphone app. This input data is then sent to a cloud server, which then uses the AI ​​model to regenerate the hairstyle.

[0953] Emotion recognition and suggestions using an emotion engine

[0954] The emotion engine on the server analyzes the user's facial expression data and recognizes emotions such as "satisfaction," "anxiety," and "happiness." The emotion data is processed using TensorFlow, and the system suggests optimal hairstyle adjustments.

[0955] Final hairstyle decisions and professional advice

[0956] The server generates the final hairstyle image, which is then finalized based on the user's and professional's advice. The finalized hairstyle image is shared with the hairdresser, who performs the hairstyle based on their instructions.

[0957] Specific examples

[0958] The user opens the app, takes three photos (front, side, and back), and uploads them. They then enter the text "casual bob cut." The server uses AI based on this data to generate a 360-degree image of the desired hairstyle. The user looks at the displayed image, inputs adjustment instructions such as "make the bangs a little shorter," and confirms the regenerated image. The user's facial expression data is used to read emotions such as "satisfaction" and "anxiety," and the app suggests the optimal adjustments. The final hairstyle image that the user has decided on is shared with the hairdresser, who then performs the treatment based on those instructions.

[0959] Prompt Sentence Examples

[0960] "Let's say a user wants a bob cut with rounded edges and check out the hairstyle in 360-degree view. Analyze the user's emotions, suggest optimal adjustments and finalize the hairstyle."

[0961] This system allows users to visually confirm specific hairstyle images and receive optimal suggestions based on their emotions. Hairdressers can then perform the treatment accurately based on those instructions, increasing user satisfaction.

[0962] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0963] Step 1:

[0964] A user opens a smartphone app and takes and uploads photos of themselves from multiple angles. For example, the user may take three photos (front, side, and back). These photos are compressed and converted on the device and sent to a cloud server via an API. The server receives the images, converts them into a unified format, and stores them in a database. This process allows the server to obtain and store the user's facial image data in a database.

[0965] Step 2:

[0966] The user inputs an image or text of the hairstyle they desire into the smartphone app. For example, the user can type "casual bob cut" into the text or upload an image. This data is sent from the device to the cloud server via API. The server receives the data, analyzes it, and extracts the characteristics of the hairstyle. This allows the server to obtain and analyze the user's desired hairstyle data.

[0967] Step 3:

[0968] The server combines the user's facial image data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model. Using TensorFlow, the AI ​​model inputs this data and generates a 3D image of the hairstyle that matches the user's face. This generated hairstyle image is then sent back to the smartphone via API and displayed to the user.

[0969] Step 4:

[0970] The user can check the 360-degree hairstyle image displayed on their smartphone and input any necessary adjustment instructions. For example, they can enter specific adjustment instructions such as "make the bangs a little shorter" into the app. These adjustment instructions are sent from the device to the server via API, and the server uses the generative AI model to modify the hairstyle based on these instructions. This generates a new hairstyle image based on the user's instructions.

[0971] Step 5:

[0972] The server uses an emotion engine to analyze the user's facial expression data. The user transmits their facial expression using a smartphone camera, and the server receives and analyzes the facial expression data, recognizing emotions such as "satisfaction," "anxiety," and "happiness." Based on this emotional data, the generative AI model suggests hairstyle adjustments that best suit the user's emotions. This allows the system to suggest the optimal hairstyle based on the user's emotions.

[0973] Step 6:

[0974] The server generates a final hairstyle image that reflects the user's feelings and professional advice. The image is then generated and the user makes a final confirmation via a smartphone app. The confirmed hairstyle image is shared with the hairdresser, who performs the treatment based on the user's instructions. This final confirmation and sharing process ensures that the user is satisfied with the hairstyle.

[0975] 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.

[0976] 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.

[0977] 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.

[0978] [Third embodiment]

[0979] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0980] 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.

[0981] 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).

[0982] 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.

[0983] 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.

[0984] 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).

[0985] 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.

[0986] 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.

[0987] 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.

[0988] 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.

[0989] 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.

[0990] 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."

[0991] This invention is a visual communication system that allows users to specifically define their ideal hairstyle, visually confirm it using a generation AI, and share it with a hairdresser, thereby realizing their ideal hairstyle.

[0992] The program of this system mainly performs the following processes.

[0993] 1. User image upload

[0994] Users upload their own photos taken from multiple angles from their devices to the server.

[0995] The device compresses these photos and sends them to the server.

[0996] The server converts the received images into a unified format and stores them in a database.

[0997] 2. Enter the desired hairstyle data

[0998] The user inputs an image or text of the hairstyle they want into the device.

[0999] The terminal transmits this data to the server.

[1000] The server analyzes the received desired hairstyle data and extracts its features.

[1001] 3. Hairstyle generation by AI

[1002] The server combines the user's facial data with their desired hairstyle data.

[1003] The server uses the generative AI model to generate a 360-degree hairstyle image.

[1004] The terminal presents the generated hairstyle image to the user.

[1005] 4. User adjustment instructions

[1006] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[1007] The terminal sends this instruction to the server.

[1008] The server again uses the AI ​​model to modify the hairstyle and generate an updated hairstyle image.

[1009] 5. Final hairstyle decision and professional advice

[1010] The server generates the final hairstyle image taking into account the user's hair type data, personal color, and professional advice.

[1011] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[1012] The device sends the final image to the hairdresser and shares it.

[1013] In this way, the system of the present invention allows users to specifically confirm their ideal hairstyle and accurately communicate it to their hairdresser. As a specific example, consider the process of confirming the ideal hairstyle by taking a photo of themselves with a smartphone and using an AI model to generate and adjust a hairstyle image based on the desired hairstyle. The final hairstyle image is shared with the hairdresser, who then performs the treatment based on the instructions and can achieve the desired result.

[1014] The processing flow will be explained below.

[1015] Step 1:

[1016] The user opens the smartphone app and taps the "Upload Photo" button. The user then takes photos of themselves from four angles: front, back, left and right.

[1017] Step 2:

[1018] The device takes photos, compresses them in a specified format (e.g., JPEG), and sends them to the server. Each photo is accompanied by metadata such as the user ID.

[1019] Step 3:

[1020] The server converts the received photos into a standard format and stores them in a database. After storing them, it performs image analysis and performs preprocessing such as facial recognition.

[1021] Step 4:

[1022] The app uses an input field for users to enter an image or text of the hairstyle they want. Select an image or describe it in text, such as "a natural bob with a slight curl."

[1023] Step 5:

[1024] The device sends the entered hairstyle image or text data to the server. The sent data includes the user ID.

[1025] Step 6:

[1026] The server analyzes the received data. The image analysis system extracts hairstyle features from the image, and the text analysis system extracts keywords from the input text.

[1027] Step 7:

[1028] The server combines the user's facial data with their desired hairstyle data, and uses a deep learning model to generate a hairstyle that matches the user's face shape.

[1029] Step 8:

[1030] The server renders the generated hairstyle in a 360-degree view to create a hairstyle image, which is then stored on the server and sent to the user.

[1031] Step 9:

[1032] The device receives the hairstyle image and displays it on the app, providing an interface that allows the user to check the hairstyle in 360 degrees and indicate any necessary adjustments.

[1033] Step 10:

[1034] The user inputs specific adjustment instructions such as "Make the bangs a little shorter" or "Add a little more volume." The interface includes a function to specify the area of ​​the adjustment.

[1035] Step 11:

[1036] The device sends the user's adjustment instructions to the server. The transmitted data includes the adjustment instructions and the user ID.

[1037] Step 12:

[1038] The server again uses the AI ​​model to adjust the hairstyle and generate an updated hairstyle image, which is then saved on the server and sent back to the user.

[1039] Step 13:

[1040] The server considers the user's hair type and personal color and generates the final hairstyle based on professional opinions. It compares it with a database of hair types and colors to select the most suitable style.

[1041] Step 14:

[1042] The device will present the user with the final hairstyle image and professional advice, after which the user can make a final confirmation and tap the confirm button.

[1043] Step 15:

[1044] The device then shares the final image with the hairdresser. The transmitted data includes the user's ID and the final hairstyle image.

[1045] Step 16:

[1046] The hairdresser will create a treatment plan based on the final image received, and when the user receives treatment at the salon, they can use the shared image as a reference to achieve their ideal hairstyle.

[1047] Example 1

[1048] 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."

[1049] A common problem with modern beauty services is that it is difficult for users to specifically communicate their ideal hairstyle. This makes it difficult for hairdressers to accurately understand and realize the user's wishes, often resulting in low user satisfaction. Furthermore, users are unable to get a clear image of their hairstyle based on photos of themselves taken from multiple angles, leading to ambiguous communication when giving instructions for adjustments. New technology is needed to solve this problem.

[1050] 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.

[1051] In this invention, the server includes: means for a user to upload images of themselves taken from multiple angles from a terminal to the server; means for the terminal to compress the uploaded images and send them to the server; means for the server to convert the received images into a unified format and store them in a database; means for the user to input an image or text of their desired hairstyle into the terminal and for the terminal to send it to the server; means for the server to analyze the desired hairstyle data and extract features; means for the server to integrate the user's facial data and desired hairstyle data and generate a 360-degree hairstyle image using a generative AI model; means for the server to present the generated hairstyle image to the user's terminal and for the user to input specific adjustment instructions; means for the terminal to send the user's adjustment instructions to the server; means for the server to again use the generative AI model to modify the hairstyle and generate an updated hairstyle image; and means for the server to generate a final hairstyle image taking into account the user's hair type data, personal color, and professional advice and present it to the terminal. This allows the user to specifically visualize their ideal hairstyle and accurately convey it to a hairdresser.

[1052] "User" refers to an individual who uses the System.

[1053] "Terminal" refers to an electronic device operated by a user (e.g., smartphone, computer, tablet).

[1054] "Server" refers to the central system that receives, processes, and stores data transmitted by a user.

[1055] "Image compression" refers to the process of reducing the amount of information in an image to reduce its data size.

[1056] "Unified format" refers to converting data into a unified format to ensure data compatibility.

[1057] A "database" refers to a system that stores large amounts of data in an organized manner and enables efficient search and use as needed.

[1058] An "analysis engine" refers to software or algorithms that analyze input data and extract its characteristics and features.

[1059] "Hairstyle data" refers to information such as images and text relating to the hairstyle desired by the user.

[1060] A "generative AI model" refers to a trained model that uses artificial intelligence to generate new images and data.

[1061] "360-degree view" refers to a three-dimensional display format that can be observed from all directions.

[1062] "Adjustment instructions" refers to input information that allows a user to specify intended changes or fine-tuning.

[1063] "Hair Quality Data" refers to information regarding the characteristics of a User's hair (e.g., thickness, stiffness, density).

[1064] "Personal Color" refers to an individual color combination based on the user's skin, eye, and hair color.

[1065] "Professional advice" refers to advice on styling and hairstyles provided by a professional such as a hairdresser.

[1066] "Hairstyle Image" refers to the visual representation of an ideal hairstyle generated by a generative AI model.

[1067] A "hairdresser" is a professional who cuts, styles, and cares for hair.

[1068] This is a visual communication system that allows users to set their ideal hairstyle, visually confirm it using a generative AI model, and share it with a hairdresser to achieve their ideal hairstyle. The program for this system is realized using three main components: the user, the terminal, and the server.

[1069] First, the user takes photos of themselves from multiple angles using a device such as a smartphone or PC. The device then compresses the images and sends them to the server. Specifically, the device's camera function is used to capture the images, which are then compressed to convert them into a unified format such as JPEG or PNG.

[1070] The server then converts the received images into a unified format and stores them in a database. This process requires image analysis, and image processing libraries such as OpenCV are used to efficiently process the images. The server stores this data and prepares it for subsequent processing.

[1071] The user inputs data (image or text) about the hairstyle they want into the device, which then sends it to the server. The server analyzes the received hairstyle data and extracts its features. The analysis engine can perform text analysis using an NLP library (natural language processing library).

[1072] The server combines the user's facial data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model (e.g., the StyleGAN model). The generated hairstyle image is sent to the device and presented to the user. This image generation process allows the user to see their ideal hairstyle from all angles.

[1073] The user reviews the generated hairstyle image and inputs specific adjustment instructions into the device. The device then sends this to the server, which again uses the generated AI model to modify the hairstyle and generate an updated hairstyle image. This iterative process allows the user to further refine their ideal hairstyle.

[1074] Finally, the server generates a final hairstyle image taking into account the user's hair type data, personal color, and professional advice. This data also includes advice provided by professional hairdressers. The final image is then displayed on the device again for the user to review and confirm. The confirmed image is then shared with the hairdresser via the device.

[1075] Specific examples

[1076] For example, users can take photos of their face from three angles with their smartphone: the front, the side, and the back. They then use the app to upload these images to the system. When users input their desired hairstyle, they specify characteristics with text, such as "long straight hair, with bangs, brown." Alternatively, they can upload a reference image of the desired hairstyle.

[1077] Prompt Sentence Examples

[1078] "Please enter the characteristics of your ideal hairstyle (e.g., long straight hair, with bangs, brown)."

[1079] "Please upload a reference image of the hairstyle you want."

[1080] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1081] Step 1: Upload a user image

[1082] Specific operation:

[1083] Users use their smartphone or computer camera to take photos of themselves from the front, side, and back.

[1084] The device receives these images and saves them in JPEG or PNG format.

[1085] Input: Images of the user taken from multiple angles.

[1086] Data processing: The device compresses the image to reduce its size.

[1087] Output: Compressed image files.

[1088] Step 2: Send and save the image

[1089] Specific operation:

[1090] The terminal sends the compressed image file to the server.

[1091] The server uses the OpenCV library to analyze the images received and convert them into a unified format.

[1092] The server stores the converted image data in a database.

[1093] Input: Compressed image files.

[1094] Data processing: Convert to a standardized image format (e.g., JPEG, PNG).

[1095] Output: Image data in a unified format is stored in a database.

[1096] Step 3: Enter your desired hairstyle data

[1097] Specific operation:

[1098] The user inputs an image or text of the hairstyle they want into the device application.

[1099] The device sends this data (images and text) to the server.

[1100] Input: Image or text information of the hairstyle you want.

[1101] Data calculation: The server uses an NLP library to analyze the text data and extract hairstyle features.

[1102] Output: Parsed hairstyle feature data.

[1103] Step 4: Hairstyle generation by AI

[1104] Specific operation:

[1105] The server retrieves the user's facial data and desired hairstyle characteristics data from the database.

[1106] The server inputs facial data and feature data into a generative AI model (e.g., StyleGAN) to generate a 360-degree hairstyle image.

[1107] The device displays the generated hairstyle image to the user.

[1108] Input: User's face data and desired hairstyle feature data.

[1109] Data calculation: The generative AI model generates a 360-degree view of the hairstyle.

[1110] Output: The generated 360-degree view hairstyle image.

[1111] Step 5: Enter and modify adjustment instructions

[1112] Specific operation:

[1113] The user checks the generated hairstyle image and inputs adjustment instructions for specific parts into the terminal.

[1114] The device sends the user's input data to the server.

[1115] The server will then use the generated AI model to modify the hairstyle.

[1116] The server generates an updated hairstyle image and transmits it to the terminal.

[1117] Input: User adjustment instructions.

[1118] Data calculation: The generative AI model regenerates the hairstyle image based on the adjustment instructions.

[1119] Output: The modified hairstyle image.

[1120] Step 6: Finalize and share your hairstyle

[1121] Specific operation:

[1122] The server generates the final hairstyle image taking into consideration the user's hair type data, personal color and professional advice.

[1123] The device will then present the final hairstyle image to the user.

[1124] The user reviews and confirms the final image.

[1125] The device sends the finalized image to the server, which then shares it with the hairdresser.

[1126] Input: User's hair type data, personal color, and professional advice.

[1127] Data calculation: The server considers all the data and generates the final hairstyle image.

[1128] Output: Final hairstyle image presented to the user, and image shared with the hairdresser.

[1129] (Application example 1)

[1130] 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."

[1131] With traditional communication methods at hair salons, it was difficult for users to specifically communicate their ideal hairstyle to the hairdresser, resulting in a finish that often differed from their ideal. Even when users input images or text of the hairstyle they wanted, the intention was not conveyed through flat visual information alone, and a 360-degree view was not possible, making it difficult to share an accurate image. Furthermore, it was unclear whether the final hairstyle would suit the user's hair type and personal color, forcing users to rely on the hairdresser's skill.

[1132] 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.

[1133] In this invention, the server includes: a means for a user to upload images of themselves taken from multiple angles from a terminal to the server; a means for inputting images or text of the user's desired hairstyle to the server; a means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and the desired hairstyle data; a means for presenting the generated hairstyle image to the user's terminal and for the user to input adjustment instructions; a means for the server to modify the hairstyle using the generative AI model based on the user's adjustment instructions; a means for the server to generate a final hairstyle image that reflects the user's and professional advice and present it to the terminal; and a means for sharing the final hairstyle image presented on the terminal with a hairdresser and providing instructions for the hairdresser to perform the treatment. This allows the user to specifically confirm their ideal hairstyle and share it with the hairdresser through effective communication. Furthermore, by suggesting an optimal hairstyle that takes into account the user's hair type data and personal color, a highly satisfying finish can be achieved.

[1134] A "generative AI model" is an algorithm that uses artificial intelligence to generate new data from specific data.

[1135] A "server" is a type of computer system that exchanges and processes data over a network.

[1136] "User terminal" refers to a device that is directly operated by the user, such as a smartphone or PC.

[1137] A "hairstyle image" is visual information of a hairstyle that can be viewed from all directions and is generated based on a user's facial image and desired hairstyle data.

[1138] The "adjustment instructions" refer to instructions for changes that reflect the user's wishes to make to the generated hairstyle image.

[1139] "Professional advice" refers to technical suggestions and advice provided by professionals such as hairdressers and stylists regarding a user's hairstyle.

[1140] "Hair Quality Data" refers to information regarding the characteristics of a User's hair (e.g., thickness, curl, volume, toughness, etc.).

[1141] "Personal colors" are a group of colors that are said to best match the user's skin tone and are used as a reference when deciding on a hairstyle.

[1142] A "hairdresser" refers to a professional who styles a user's hairstyle.

[1143] MODE FOR CARRYING OUT THE INVENTION

[1144] To implement this invention, it is necessary to build a system that effectively utilizes a server, user terminals (smartphones or PCs), and generative AI models. The system of the present invention is configured as follows.

[1145] How the program is implemented

[1146] 1. User image upload

[1147] Users take images of their face from multiple angles and upload them to the system from their device, such as a smartphone or computer.

[1148] The terminal appropriately compresses these images and transmits them over the network to the server.

[1149] The server converts the received images into a unified format (e.g., 224x224 pixels) and stores them in a database.

[1150] 2. Enter the desired hairstyle data

[1151] The user inputs an image or text of the desired hairstyle into the user terminal.

[1152] The terminal transmits this data to the server.

[1153] The server analyzes the received hairstyle data and extracts its features using natural language processing (NLP) and image analysis algorithms.

[1154] 3. Hairstyle generation by AI

[1155] The server combines the user's facial data with their desired hairstyle data and uses a generative AI model to generate a 360-degree hairstyle image.

[1156] This generative AI model is built using machine learning frameworks such as Keras and TensorFlow.

[1157] The terminal presents the generated hairstyle image to the user.

[1158] 4. User adjustment instructions

[1159] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[1160] The terminal sends this instruction to the server.

[1161] The server again uses the generative AI model to modify the hairstyle based on the user's adjustment instructions.

[1162] 5. Final hairstyle decision and professional advice

[1163] The server takes into account the user's hair type and personal color data and generates the final hairstyle image, using an algorithm that takes into account the user's hair type and fashion advice.

[1164] The final hairstyle image is displayed on the device for the user and hairdresser to review.

[1165] Based on this information, hairdressers can provide treatments that meet the user's wishes.

[1166] Examples and prompts

[1167] For example, consider a case where a user uses an application called "Smart Hair Design Assistant (tentative name)," which assists the user in the process of importing a photo of themselves, inputting the desired hairstyle, and generating the final hairstyle.

[1168] Examples of input prompts for generative AI models:

[1169] "Enter the face image of user ID: 12345 and the desired hairstyle of 'semi-long, with bangs, curly hair' to generate a new hairstyle image."

[1170] Based on this prompt, the generative AI model generates a hairstyle image and displays it on the user's smartphone or computer, allowing users to easily simulate their ideal hairstyle at home or at the salon and effectively communicate with their hairdresser.

[1171] As described above, this system allows users to confirm their ideal hairstyle in detail and accurately communicate it to the hairdresser. The final hairstyle image is shared with the hairdresser, so the hairdresser can perform the treatment based on the instructions and achieve the finish that the user desires.

[1172] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1173] Step 1:

[1174] The user takes pictures of themselves from multiple angles and uploads them to the server from their device. The user takes pictures of their face from multiple angles using a smartphone camera and uploads the image data through the application. At this time, the images are appropriately compressed and sent to the server via the network. The server converts the received images into a unified format (e.g., 224x224 pixels) and stores them in a database.

[1175] Input: Face images taken from multiple angles

[1176] Output: Images converted to a unified format

[1177] Step 2:

[1178] The user inputs an image or text of the hairstyle they want into the device. The user inputs an image of the hairstyle they want or a text description of the hairstyle through the application. This data is sent to the server via the network. The server analyzes the received data and extracts the characteristics of the desired hairstyle.

[1179] Input: Image or text of desired hairstyle

[1180] Output: Hairstyle feature data

[1181] Step 3:

[1182] The server uses a generative AI model to generate a 360-degree hairstyle image based on the user's image and desired hairstyle data. The server inputs the user's face data and desired hairstyle feature data and generates a 360-degree hairstyle image using the generative AI model. This generative AI model is built using machine learning frameworks such as Keras and TensorFlow.

[1183] Input: User's face data, desired hairstyle feature data

[1184] Output: 360-degree hairstyle image

[1185] Step 4:

[1186] The generated hairstyle image is presented to the user's device, and the user inputs adjustment instructions. The server then sends the generated hairstyle image to the user's device, which then displays the image to the user. The user checks the image and, if necessary, inputs adjustment instructions through the application.

[1187] Input: Generated 360-degree hairstyle image

[1188] Output: User adjustment instructions

[1189] Step 5:

[1190] Based on the user's adjustment instructions, the server uses the generative AI model to modify the hairstyle. The server receives the user's adjustment instructions and again uses the generative AI model based on those instructions to modify the hairstyle.

[1191] Input: User adjustment instructions

[1192] Output: Modified hairstyle image

[1193] Step 6:

[1194] The server generates a final hairstyle image that reflects the user's and professional's advice and displays it on the device. The server then generates the final hairstyle, taking into account the user's hair type data, personal color, and professional advice. The final hairstyle image is sent to the user's device, where it is reviewed by the user and hairdresser.

[1195] Input: User's hair type data, personal color, professional advice

[1196] Output: Final hairstyle image

[1197] Step 7:

[1198] The final hairstyle image displayed on the device is shared with the hairdresser, who provides instructions for the hairdresser to perform the treatment.The final hairstyle image displayed on the user's device is also shared with the hairdresser.The hairdresser will use this image to perform the treatment according to the user's wishes.

[1199] Input: Final hairstyle image

[1200] Output: Treatment instructions by a hairdresser

[1201] 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.

[1202] This is a visual communication system that allows users to set their ideal hairstyle, visually confirm it using a generation AI, and share it with a hairdresser to realize their ideal hairstyle. Furthermore, this system is equipped with an emotion engine that recognizes the user's emotions, and suggests and adjusts hairstyles based on the user's emotions.

[1203] The program of this system includes the following processing steps:

[1204] 1. User image upload

[1205] Users upload their own photos taken from multiple angles from their devices to the server.

[1206] The device compresses the photos taken and sends them to the server.

[1207] The server converts the received images into a unified format and stores them in a database.

[1208] 2. Enter the desired hairstyle data

[1209] Use the app's input field to enter an image or text of the hairstyle the user desires.

[1210] The terminal transmits this data to the server.

[1211] The server analyzes the received desired hairstyle data and extracts its features.

[1212] 3. Hairstyle generation by AI

[1213] The server combines the user's facial data with their desired hairstyle data.

[1214] The server uses the generative AI model to generate a 360-degree hairstyle image.

[1215] The terminal presents the generated hairstyle image to the user.

[1216] 4. User adjustment instructions

[1217] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[1218] The terminal sends this instruction to the server.

[1219] The server again uses the AI ​​model to modify the hairstyle and generate an updated hairstyle image.

[1220] 5. Emotion Recognition and Suggestion by Emotion Engine

[1221] The server analyzes the user's facial expression data and uses an emotion engine to recognize the user's emotions (e.g., joy, anxiety, satisfaction, etc.).

[1222] An emotion engine suggests hairstyle adjustments based on recognized emotions.

[1223] The user inputs new instructions based on the proposed adjustments.

[1224] 6. Final hairstyle decision and professional advice

[1225] The server generates the final hairstyle based on the user's hair type data, personal color, and professional opinions.

[1226] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[1227] The device shares the final image with the hairdresser, who then performs the treatment.

[1228] Specific examples

[1229] 1. Upload an image

[1230] Users open the smartphone app and take and upload photos of themselves from multiple angles.

[1231] The server receives the images and performs analysis.

[1232] 2. Enter your desired hairstyle

[1233] Users can upload a hairstyle image from a magazine into the app, or type in the text "rounded bob."

[1234] The server analyzes the desired hairstyle data and extracts features.

[1235] 3. Hairstyle generation by AI

[1236] The server combines the user's facial data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model.

[1237] The terminal displays the generated hairstyle image.

[1238] 4. User adjustment instructions

[1239] The user can view the hairstyle image in 360 degrees and input specific adjustment instructions, such as "make the bangs a little shorter."

[1240] 5. Emotion Recognition and Suggestion by Emotion Engine

[1241] The server analyzes the user's facial expression data and recognizes emotions such as "satisfaction," "anxiety," and "happiness."

[1242] If the emotion engine is not in a "satisfied" state, it will suggest further adjustments.

[1243] 6. Final hairstyle decision and professional advice

[1244] The server generates the final hairstyle image and finalizes it based on user and professional advice.

[1245] The device shares the final image with the hairdresser, who then performs the treatment based on the instructions.

[1246] This allows users to concretize the hairstyle that best suits their needs, and hairdressers can then perform the treatment appropriately based on that.

[1247] The processing flow will be explained below.

[1248] Step 1:

[1249] A user opens the smartphone app, the app's startup screen appears, and the user selects the "Upload a photo" button.

[1250] Step 2:

[1251] Users take photos of themselves from four angles: front, back, left and right, and a preview of each photo is displayed in the app.

[1252] Step 3:

[1253] The device takes photos, compresses them in the specified format (e.g., JPEG), and sends them to the server. Each photo contains the user ID.

[1254] Step 4:

[1255] The server converts the received photos into a standard format and stores them in a database. After storing them, it performs image analysis and performs preprocessing such as facial recognition.

[1256] Step 5:

[1257] The app uses an input field for users to enter an image or text of the hairstyle they want. Users can select an image of the hairstyle they want or write a description in text, such as "a natural bob with a slight curl."

[1258] Step 6:

[1259] The device sends the entered hairstyle image or text data to the server. The sent data includes the user ID.

[1260] Step 7:

[1261] The server analyzes the received data. The image analysis system extracts hairstyle features from the image, and the text analysis system extracts keywords from the input text.

[1262] Step 8:

[1263] The server combines the user's facial data with their desired hairstyle data, and uses a deep learning model to generate a hairstyle that matches the user's face shape.

[1264] Step 9:

[1265] The server renders the generated hairstyle in a 360-degree view to create a hairstyle image, which is then stored on the server and sent to the user.

[1266] Step 10:

[1267] The device receives the hairstyle image and displays it on the app, providing an interface that allows the user to check the hairstyle in 360 degrees and indicate any necessary adjustments.

[1268] Step 11:

[1269] The user inputs specific adjustment instructions such as "Make the bangs a little shorter" or "Add a little more volume." The interface includes a function to specify the area of ​​the adjustment.

[1270] Step 12:

[1271] The device sends the user's adjustment instructions to the server. The transmitted data includes the adjustment instructions and the user ID.

[1272] Step 13:

[1273] The server again uses the AI ​​model to adjust the hairstyle and generate an updated hairstyle image, which is then saved on the server and sent back to the user.

[1274] Step 14:

[1275] The server receives the user's facial expressions and analyzes them with the emotion engine, which generates emotion classification results such as joy, anxiety, and satisfaction.

[1276] Step 15:

[1277] The emotion engine will make hairstyle corrections and suggestions based on the emotion data, for example, if the user is not satisfied, it will suggest other hairstyle options.

[1278] Step 16:

[1279] The device presents suggestions from the emotion engine to the user, who then inputs new instructions based on the suggested adjustments.

[1280] Step 17:

[1281] The server makes adjustments based on the user's hair type data, personal color, and professional advice to generate the final hairstyle image.

[1282] Step 18:

[1283] The device displays the final hairstyle image and professional advice to the user, who then makes a final confirmation and taps the confirm button.

[1284] Step 19:

[1285] The device then shares the final image with the hairdresser. The transmitted data includes the user's ID and the final hairstyle image.

[1286] Step 20:

[1287] The hairdresser will create a treatment plan based on the final image received, and when the user receives treatment at the salon, they can use the shared image as a reference to achieve their ideal hairstyle.

[1288] Example 2

[1289] 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."

[1290] In the past, it was difficult for hairdressers to accurately communicate the user's desired hairstyle during communication between them. Furthermore, users lacked a way to visually confirm what hairstyle would suit them, which could lead to a decrease in satisfaction with the results. Furthermore, since hairstyle suggestions did not take the user's emotions into consideration, it was difficult to achieve the ideal hairstyle.

[1291] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for a user to upload images of themselves taken from multiple angles from a terminal to the server, a means for inputting images or text of the user's desired hairstyle to the server, a means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and data on the desired hairstyle, a means for the server to present the generated hairstyle image to the user's terminal and for the user to input adjustment instructions, a means for the server to again use the AI ​​model to modify the hairstyle based on the user's adjustment instructions, a means for the server to analyze the user's facial expression data and use an emotion engine to suggest hairstyle adjustments based on the user's emotions, a means for the server to generate a final hairstyle image that reflects the user's hair type data, personal color, and professional opinions and present it to the terminal, and a means for sharing the final hairstyle image with a hairdresser. This allows the user to visually confirm their desired hairstyle and receive adjustment suggestions based on their emotions, thereby realizing their ideal hairstyle.

[1292] "User" refers to an individual who uses the system to determine their own hairstyle.

[1293] "Terminal" refers to a device operated by a user (e.g., a smartphone or PC), and refers to a hardware or software device used to take photographs, enter data, display results, etc.

[1294] "Server" refers to a computer system that receives, stores, and analyzes data sent by users, and generates hairstyle images using a generative AI model and performs emotion analysis using an emotion engine.

[1295] "Generative AI model" refers to an artificial intelligence model that integrates a user's facial data with their desired hairstyle data and generates a hairstyle image according to the specified prompts.

[1296] A "prompt" is an instruction given to a generative AI model to obtain a specific output.

[1297] An "emotion engine" refers to an algorithm or software that analyzes a user's facial expression data, recognizes their emotions, and suggests hairstyle adjustments based on those emotions.

[1298] "Hair quality data" refers to information about the characteristics of a user's hair (e.g., hair thickness, hardness, volume, curl, etc.).

[1299] "Personal color" refers to information that indicates the range of colors that suit a user best based on their skin color, eye color, hair color, etc.

[1300] "Professional opinion" refers to evaluations and advice provided by hairdressers and other professionals regarding hairstyles and cutting methods that are suitable for users.

[1301] "Final hairstyle image" refers to the hairstyle image that is generated by the server based on the user's wishes, adjustment instructions, and professional opinions, and that is ultimately for the user to check.

[1302] This invention is a visual communication system that allows users to specifically define their ideal hairstyle, visually confirm it using a generative AI model, and share it with a hairdresser to realize their ideal hairstyle. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and suggests and adjusts hairstyles based on the user's emotions.

[1303] Hardware and software used

[1304] server:

[1305] High-performance computers

[1306] Image analysis algorithms (e.g., OpenCV)

[1307] Generative AI models (e.g., OpenAI's DALL-E)

[1308] Natural language processing engines (e.g. BERT)

[1309] Emotion engines (e.g., Affectiva)

[1310] Database System

[1311] Device:

[1312] Smartphone or PC

[1313] camera

[1314] Dedicated application

[1315] System operation procedures and processing flow

[1316] 1. User image upload:

[1317] Users use a smartphone app to take photos of themselves from multiple angles.

[1318] The device compresses the photos taken and sends them to the server.

[1319] The server converts the received image into JPEG format and stores it in the database.

[1320] The server uses image analysis algorithms to perform facial recognition processing and extract the necessary facial data.

[1321] 2. Enter the desired hairstyle:

[1322] Users can upload an image of the hairstyle they want to their app, or type "rounded bob" into the text field.

[1323] The terminal transmits the input data to the server.

[1324] The server analyzes the hairstyle image it receives using an image recognition model and extracts its features.

[1325] The server analyzes the text data using a natural language processing engine and extracts features.

[1326] 3. AI Hairstyle Generation:

[1327] The server combines the user's facial data with their desired hairstyle data.

[1328] The server uses the generative AI model to create a prompt.

[1329] The server inputs the prompt "Please display a round bob style in 360 degrees according to the user's face image" into the generative AI model and generates a 360-degree hairstyle image.

[1330] The terminal presents the generated hairstyle image to the user.

[1331] 4. User adjustment instructions:

[1332] The user can view the displayed hairstyle image in a 360-degree view.

[1333] The user inputs specific adjustment instructions into the device, such as "Make the bangs a little shorter."

[1334] The terminal sends this instruction to the server.

[1335] The server again inputs the prompt sentence into the generated AI model and generates an image of the corrected hairstyle.

[1336] The device presents the updated hairstyle image to the user.

[1337] 5. Emotion Recognition and Suggestion by Emotion Engine:

[1338] The server captures the user's facial expressions and analyzes them using an emotion engine.

[1339] The emotion engine recognizes the user's emotions (e.g., joy, anxiety, satisfaction, etc.).

[1340] Based on emotional data, the emotion engine makes suggestions for hairstyle adjustments, such as "I think it would be better if it was more rounded."

[1341] The user accepts the proposed adjustments and enters new instructions into the device.

[1342] The server again uses the generated AI model to adjust the hairstyle and generate an updated hairstyle image.

[1343] 6. Final hairstyle decisions and professional advice:

[1344] The server determines the final hairstyle based on the user's hair type data and personal color information.

[1345] The server takes the professional input of the hairdresser and generates the final hairstyle.

[1346] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[1347] The device shares the final image with the hairdresser and provides them with the information they need for the treatment.

[1348] The hairdresser will then carry out the treatment based on the final image shared with them.

[1349] This allows users to concretize the hairstyle that best suits their needs, and hairdressers can then perform the treatment appropriately based on that.

[1350] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1351] Step 1:

[1352] User-uploaded images

[1353] Input: A user opens a smartphone app and takes photos of themselves from multiple angles.

[1354] How it works: Users press the "upload" button in the dedicated app to send a photo.

[1355] The device compresses the photos it takes and sends them to the server. The compressed data is used to reduce file size and improve communication speed.

[1356] Output: Compressed image data.

[1357] Step 2:

[1358] Image storage and analysis by server

[1359] Input: Compressed image data.

[1360] How it works: The server converts the received image into JPEG format and stores it in a database. The server then uses an image analysis algorithm (e.g. OpenCV) to perform facial recognition and extract the necessary facial data.

[1361] Output: Facial feature point data and saved image.

[1362] Step 3:

[1363] User inputs desired hairstyle data

[1364] Input: An image or text of the hairstyle you want (e.g., "rounded bob").

[1365] How it works: Users upload an image of their desired hairstyle in a dedicated app or enter instructions in a text field. The device then sends this data to a server.

[1366] Output: Desired hairstyle data (image or text).

[1367] Step 4:

[1368] Server analyzes desired hairstyle data

[1369] Input: Desired hairstyle data (image or text).

[1370] How it works: The server analyzes the received hairstyle image using an image recognition model (e.g., ResNet) and extracts its features. The server analyzes the text data using a natural language processing engine (e.g., BERT) and extracts features.

[1371] Output: Hairstyle feature data.

[1372] Step 5:

[1373] Hairstyle image generation using AI

[1374] Input: User's face data and desired hairstyle feature data.

[1375] How it works: The server combines these data and uses a generative AI model (e.g., OpenAI's DALL-E) to input the prompt "Please show me a 360-degree image of a round bob hairstyle that matches the user's face image." The generated 360-degree hairstyle image is then obtained.

[1376] Output: 360-degree hairstyle image.

[1377] Step 6:

[1378] User checks hairstyle image and gives instructions for adjustment

[1379] Input: A 360-degree hairstyle image.

[1380] How it works: The user checks the generated hairstyle image in 360-degree view, then inputs specific adjustment instructions (e.g., "Make the bangs a little shorter") into the device and sends it.

[1381] Output: Adjustment instruction data.

[1382] Step 7:

[1383] Server-based hairstyle modification

[1384] Input: Adjustment instruction data.

[1385] How it works: The server again inputs the prompt "Please display a 360-degree image of a round bob style with slightly shorter bangs, matching the user's face image" into the generated AI model, and generates an image of the modified hairstyle.

[1386] Output: A rectified 360-degree hairstyle image.

[1387] Step 8:

[1388] Emotion recognition and suggestions using an emotion engine

[1389] Input: User's facial expression data.

[1390] How it works: The server captures the user's facial expressions and analyzes them with an emotion engine (e.g., Affectiva). It recognizes the user's emotions (e.g., joy, anxiety, satisfaction, etc.) and makes suggestions for hairstyle adjustments based on the emotion data (e.g., "It would be better if it was more rounded").

[1391] Output: Sentiment analysis results and adjustment suggestions.

[1392] Step 9:

[1393] Finalize and share your hairstyle

[1394] Input: Final hairstyle image and adjustment suggestions.

[1395] How it works: The server generates a final hairstyle image based on the user's hair type data, personal color information, and professional opinions, and displays it on the device. The user confirms and approves the final image, which is then shared with the hairdresser. The hairdresser then performs the treatment based on the final image.

[1396] Output: Final hairstyle image and shared data for the hairdresser.

[1397] (Application example 2)

[1398] 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."

[1399] Conventional hairstyle suggestion systems lack the means for users to visualize their ideal hairstyle and share it accurately with their hairdressers, resulting in low user satisfaction. Furthermore, they are unable to suggest hairstyles that take the user's emotions into account, making it difficult to adjust the hairstyle to the optimal one.

[1400] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for a user to upload images of themselves taken from multiple angles from a terminal to the server; means for inputting images or text of the user's desired hairstyle to the server; means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and data on the desired hairstyle; means for presenting the generated hairstyle image to the user's terminal and for the user to input adjustment instructions; means for the server to again use the AI ​​model to modify the hairstyle based on the user's adjustment instructions; means for using an emotion engine that recognizes the user's emotions to make hairstyle adjustment suggestions; and means for the server to generate a final hairstyle image that reflects advice from the user and a professional and present it to the terminal. This allows the user to visually confirm specific hairstyle images and receive optimal suggestions based on their emotions.

[1401] "User" refers to an individual who uses the system to visualize their hairstyle and receive adjustments and suggestions.

[1402] "Terminal" refers to an electronic device used by a user to upload images and data to the server and to check the generated hairstyle image.

[1403] "Server" refers to the central computer that processes images and data sent by users and generates and adjusts hairstyle images using generative AI models and emotion engines.

[1404] A "generative AI model" refers to an artificial intelligence model that generates 360-degree hairstyle images based on the user's facial data and desired hairstyle data.

[1405] An "emotion engine" is an engine that recognizes the user's emotions and suggests hairstyle adjustments based on those emotions.

[1406] "Hairstyle image" refers to a 360-degree visual hairstyle image generated by a generative AI model based on the user's facial data and desired hairstyle data.

[1407] "Adjustment instructions" refers to instructions that the user inputs into the terminal after checking the generated hairstyle image and specifying adjustments to the hairstyle.

[1408] "Professional advice" refers to opinions and suggestions from professionals such as hairdressers and hair stylists.

[1409] "Final hairstyle image" refers to the visual image of the final hairstyle generated by the server reflecting user and professional advice.

[1410] Generating a Program

[1411] The system for implementing this invention is based on a smartphone application and a cloud server. Each device has a specific role and uses the following hardware and software:

[1412] Hardware:

[1413] 1. Smartphone (device)

[1414] 2. Cloud server (AWS, etc.)

[1415] software:

[1416] 1. React Native (smartphone app development)

[1417] 2. Python (server side)

[1418] 3. TensorFlow (generative AI models, emotion recognition)

[1419] 4. OpenCV (Image Recognition and Processing)

[1420] Natural language processing explanation

[1421] User image upload

[1422] Users use a smartphone app to take pictures of themselves from multiple angles. These images are compressed and converted via React Native and sent to a cloud server via an API. The server receives the images, converts them into a unified format, and stores them in a database.

[1423] Enter your desired hairstyle data

[1424] Users input their hairstyle in text or image format, and this data is sent from the smartphone app to the server via an API, where it is analyzed and features of the hairstyle are extracted using TensorFlow.

[1425] Hairstyle generation by AI

[1426] The server combines the user's facial data with their desired hairstyle data, and generates a 360-degree hairstyle image using a generative AI model powered by TensorFlow. This image is then sent back to the smartphone via API and displayed to the user.

[1427] User adjustment instructions

[1428] The user can then review the generated hairstyle image and input any necessary adjustments via a smartphone app. This input data is then sent to a cloud server, which then uses the AI ​​model to regenerate the hairstyle.

[1429] Emotion recognition and suggestions using an emotion engine

[1430] The emotion engine on the server analyzes the user's facial expression data and recognizes emotions such as "satisfaction," "anxiety," and "happiness." The emotion data is processed using TensorFlow, and the system suggests optimal hairstyle adjustments.

[1431] Final hairstyle decisions and professional advice

[1432] The server generates the final hairstyle image, which is then finalized based on the user's and professional's advice. The finalized hairstyle image is shared with the hairdresser, who performs the hairstyle based on their instructions.

[1433] Specific examples

[1434] The user opens the app, takes three photos (front, side, and back), and uploads them. They then enter the text "casual bob cut." The server uses AI based on this data to generate a 360-degree image of the desired hairstyle. The user looks at the displayed image, inputs adjustment instructions such as "make the bangs a little shorter," and confirms the regenerated image. The user's facial expression data is used to read emotions such as "satisfaction" and "anxiety," and the app suggests the optimal adjustments. The final hairstyle image that the user has decided on is shared with the hairdresser, who then performs the treatment based on those instructions.

[1435] Prompt Sentence Examples

[1436] "Let's say a user wants a bob cut with rounded edges and check out the hairstyle in 360-degree view. Analyze the user's emotions, suggest optimal adjustments and finalize the hairstyle."

[1437] This system allows users to visually confirm specific hairstyle images and receive optimal suggestions based on their emotions. Hairdressers can then perform the treatment accurately based on those instructions, increasing user satisfaction.

[1438] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1439] Step 1:

[1440] A user opens a smartphone app and takes and uploads photos of themselves from multiple angles. For example, the user may take three photos (front, side, and back). These photos are compressed and converted on the device and sent to a cloud server via an API. The server receives the images, converts them into a unified format, and stores them in a database. This process allows the server to obtain and store the user's facial image data in a database.

[1441] Step 2:

[1442] The user inputs an image or text of the hairstyle they desire into the smartphone app. For example, the user can type "casual bob cut" into the text or upload an image. This data is sent from the device to the cloud server via API. The server receives the data, analyzes it, and extracts the characteristics of the hairstyle. This allows the server to obtain and analyze the user's desired hairstyle data.

[1443] Step 3:

[1444] The server combines the user's facial image data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model. Using TensorFlow, the AI ​​model inputs this data and generates a 3D image of the hairstyle that matches the user's face. This generated hairstyle image is then sent back to the smartphone via API and displayed to the user.

[1445] Step 4:

[1446] The user can check the 360-degree hairstyle image displayed on their smartphone and input any necessary adjustment instructions. For example, they can enter specific adjustment instructions such as "make the bangs a little shorter" into the app. These adjustment instructions are sent from the device to the server via API, and the server uses the generative AI model to modify the hairstyle based on these instructions. This generates a new hairstyle image based on the user's instructions.

[1447] Step 5:

[1448] The server uses an emotion engine to analyze the user's facial expression data. The user transmits their facial expression using a smartphone camera, and the server receives and analyzes the facial expression data, recognizing emotions such as "satisfaction," "anxiety," and "happiness." Based on this emotional data, the generative AI model suggests hairstyle adjustments that best suit the user's emotions. This allows the system to suggest the optimal hairstyle based on the user's emotions.

[1449] Step 6:

[1450] The server generates a final hairstyle image that reflects the user's feelings and professional advice. The image is then generated and the user makes a final confirmation via a smartphone app. The confirmed hairstyle image is shared with the hairdresser, who performs the treatment based on the user's instructions. This final confirmation and sharing process ensures that the user is satisfied with the hairstyle.

[1451] 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.

[1452] 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.

[1453] 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.

[1454] [Fourth embodiment]

[1455] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1456] 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.

[1457] 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).

[1458] 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.

[1459] 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.

[1460] 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).

[1461] 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.

[1462] 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.

[1463] 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.

[1464] 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.

[1465] 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.

[1466] 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.

[1467] 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."

[1468] This invention is a visual communication system that allows users to specifically define their ideal hairstyle, visually confirm it using a generation AI, and share it with a hairdresser, thereby realizing their ideal hairstyle.

[1469] The program of this system mainly performs the following processes.

[1470] 1. User image upload

[1471] Users upload their own photos taken from multiple angles from their devices to the server.

[1472] The device compresses these photos and sends them to the server.

[1473] The server converts the received images into a unified format and stores them in a database.

[1474] 2. Enter the desired hairstyle data

[1475] The user inputs an image or text of the hairstyle they want into the device.

[1476] The terminal transmits this data to the server.

[1477] The server analyzes the received desired hairstyle data and extracts its features.

[1478] 3. Hairstyle generation by AI

[1479] The server combines the user's facial data with their desired hairstyle data.

[1480] The server uses the generative AI model to generate a 360-degree hairstyle image.

[1481] The terminal presents the generated hairstyle image to the user.

[1482] 4. User adjustment instructions

[1483] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[1484] The terminal sends this instruction to the server.

[1485] The server again uses the AI ​​model to modify the hairstyle and generate an updated hairstyle image.

[1486] 5. Final hairstyle decision and professional advice

[1487] The server generates the final hairstyle image taking into account the user's hair type data, personal color, and professional advice.

[1488] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[1489] The device sends the final image to the hairdresser and shares it.

[1490] In this way, the system of the present invention allows users to specifically confirm their ideal hairstyle and accurately communicate it to their hairdresser. As a specific example, consider the process of confirming the ideal hairstyle by taking a photo of themselves with a smartphone and using an AI model to generate and adjust a hairstyle image based on the desired hairstyle. The final hairstyle image is shared with the hairdresser, who then performs the treatment based on the instructions and can achieve the desired result.

[1491] The processing flow will be explained below.

[1492] Step 1:

[1493] The user opens the smartphone app and taps the "Upload Photo" button. The user then takes photos of themselves from four angles: front, back, left and right.

[1494] Step 2:

[1495] The device takes photos, compresses them in a specified format (e.g., JPEG), and sends them to the server. Each photo is accompanied by metadata such as the user ID.

[1496] Step 3:

[1497] The server converts the received photos into a standard format and stores them in a database. After storing them, it performs image analysis and performs preprocessing such as facial recognition.

[1498] Step 4:

[1499] The app uses an input field for users to enter an image or text of the hairstyle they want. Select an image or describe it in text, such as "a natural bob with a slight curl."

[1500] Step 5:

[1501] The device sends the entered hairstyle image or text data to the server. The sent data includes the user ID.

[1502] Step 6:

[1503] The server analyzes the received data. The image analysis system extracts hairstyle features from the image, and the text analysis system extracts keywords from the input text.

[1504] Step 7:

[1505] The server combines the user's facial data with their desired hairstyle data, and uses a deep learning model to generate a hairstyle that matches the user's face shape.

[1506] Step 8:

[1507] The server renders the generated hairstyle in a 360-degree view to create a hairstyle image, which is then stored on the server and sent to the user.

[1508] Step 9:

[1509] The device receives the hairstyle image and displays it on the app, providing an interface that allows the user to check the hairstyle in 360 degrees and indicate any necessary adjustments.

[1510] Step 10:

[1511] The user inputs specific adjustment instructions such as "Make the bangs a little shorter" or "Add a little more volume." The interface includes a function to specify the area of ​​the adjustment.

[1512] Step 11:

[1513] The device sends the user's adjustment instructions to the server. The transmitted data includes the adjustment instructions and the user ID.

[1514] Step 12:

[1515] The server again uses the AI ​​model to adjust the hairstyle and generate an updated hairstyle image, which is then saved on the server and sent back to the user.

[1516] Step 13:

[1517] The server considers the user's hair type and personal color and generates the final hairstyle based on professional opinions. It compares it with a database of hair types and colors to select the most suitable style.

[1518] Step 14:

[1519] The device will present the user with the final hairstyle image and professional advice, after which the user can make a final confirmation and tap the confirm button.

[1520] Step 15:

[1521] The device then shares the final image with the hairdresser. The transmitted data includes the user's ID and the final hairstyle image.

[1522] Step 16:

[1523] The hairdresser will create a treatment plan based on the final image received, and when the user receives treatment at the salon, they can use the shared image as a reference to achieve their ideal hairstyle.

[1524] Example 1

[1525] 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."

[1526] A common problem with modern beauty services is that it is difficult for users to specifically communicate their ideal hairstyle. This makes it difficult for hairdressers to accurately understand and realize the user's wishes, often resulting in low user satisfaction. Furthermore, users are unable to get a clear image of their hairstyle based on photos of themselves taken from multiple angles, leading to ambiguous communication when giving instructions for adjustments. New technology is needed to solve this problem.

[1527] 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.

[1528] In this invention, the server includes: means for a user to upload images of themselves taken from multiple angles from a terminal to the server; means for the terminal to compress the uploaded images and send them to the server; means for the server to convert the received images into a unified format and store them in a database; means for the user to input an image or text of their desired hairstyle into the terminal and for the terminal to send it to the server; means for the server to analyze the desired hairstyle data and extract features; means for the server to integrate the user's facial data and desired hairstyle data and generate a 360-degree hairstyle image using a generative AI model; means for the server to present the generated hairstyle image to the user's terminal and for the user to input specific adjustment instructions; means for the terminal to send the user's adjustment instructions to the server; means for the server to again use the generative AI model to modify the hairstyle and generate an updated hairstyle image; and means for the server to generate a final hairstyle image taking into account the user's hair type data, personal color, and professional advice and present it to the terminal. This allows the user to specifically visualize their ideal hairstyle and accurately convey it to a hairdresser.

[1529] "User" refers to an individual who uses the System.

[1530] "Terminal" refers to an electronic device operated by a user (e.g., smartphone, computer, tablet).

[1531] "Server" refers to the central system that receives, processes, and stores data transmitted by a user.

[1532] "Image compression" refers to the process of reducing the amount of information in an image to reduce its data size.

[1533] "Unified format" refers to converting data into a unified format to ensure data compatibility.

[1534] A "database" refers to a system that stores large amounts of data in an organized manner and enables efficient search and use as needed.

[1535] An "analysis engine" refers to software or algorithms that analyze input data and extract its characteristics and features.

[1536] "Hairstyle data" refers to information such as images and text relating to the hairstyle desired by the user.

[1537] A "generative AI model" refers to a trained model that uses artificial intelligence to generate new images and data.

[1538] "360-degree view" refers to a three-dimensional display format that can be observed from all directions.

[1539] "Adjustment instructions" refers to input information that allows a user to specify intended changes or fine-tuning.

[1540] "Hair Quality Data" refers to information regarding the characteristics of a User's hair (e.g., thickness, stiffness, density).

[1541] "Personal Color" refers to an individual color combination based on the user's skin, eye, and hair color.

[1542] "Professional advice" refers to advice on styling and hairstyles provided by a professional such as a hairdresser.

[1543] "Hairstyle Image" refers to the visual representation of an ideal hairstyle generated by a generative AI model.

[1544] A "hairdresser" is a professional who cuts, styles, and cares for hair.

[1545] This is a visual communication system that allows users to set their ideal hairstyle, visually confirm it using a generative AI model, and share it with a hairdresser to achieve their ideal hairstyle. The program for this system is realized using three main components: the user, the terminal, and the server.

[1546] First, the user takes photos of themselves from multiple angles using a device such as a smartphone or PC. The device then compresses the images and sends them to the server. Specifically, the device's camera function is used to capture the images, which are then compressed to convert them into a unified format such as JPEG or PNG.

[1547] The server then converts the received images into a unified format and stores them in a database. This process requires image analysis, and image processing libraries such as OpenCV are used to efficiently process the images. The server stores this data and prepares it for subsequent processing.

[1548] The user inputs data (image or text) about the hairstyle they want into the device, which then sends it to the server. The server analyzes the received hairstyle data and extracts its features. The analysis engine can perform text analysis using an NLP library (natural language processing library).

[1549] The server combines the user's facial data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model (e.g., the StyleGAN model). The generated hairstyle image is sent to the device and presented to the user. This image generation process allows the user to see their ideal hairstyle from all angles.

[1550] The user reviews the generated hairstyle image and inputs specific adjustment instructions into the device. The device then sends this to the server, which again uses the generated AI model to modify the hairstyle and generate an updated hairstyle image. This iterative process allows the user to further refine their ideal hairstyle.

[1551] Finally, the server generates a final hairstyle image taking into account the user's hair type data, personal color, and professional advice. This data also includes advice provided by professional hairdressers. The final image is then displayed on the device again for the user to review and confirm. The confirmed image is then shared with the hairdresser via the device.

[1552] Specific examples

[1553] For example, users can take photos of their face from three angles with their smartphone: the front, the side, and the back. They then use the app to upload these images to the system. When users input their desired hairstyle, they specify characteristics with text, such as "long straight hair, with bangs, brown." Alternatively, they can upload a reference image of the desired hairstyle.

[1554] Prompt Sentence Examples

[1555] "Please enter the characteristics of your ideal hairstyle (e.g., long straight hair, with bangs, brown)."

[1556] "Please upload a reference image of the hairstyle you want."

[1557] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1558] Step 1: Upload a user image

[1559] Specific operation:

[1560] Users use their smartphone or computer camera to take photos of themselves from the front, side, and back.

[1561] The device receives these images and saves them in JPEG or PNG format.

[1562] Input: Images of the user taken from multiple angles.

[1563] Data processing: The device compresses the image to reduce its size.

[1564] Output: Compressed image files.

[1565] Step 2: Send and save the image

[1566] Specific operation:

[1567] The terminal sends the compressed image file to the server.

[1568] The server uses the OpenCV library to analyze the images received and convert them into a unified format.

[1569] The server stores the converted image data in a database.

[1570] Input: Compressed image files.

[1571] Data processing: Convert to a standardized image format (e.g., JPEG, PNG).

[1572] Output: Image data in a unified format is stored in a database.

[1573] Step 3: Enter your desired hairstyle data

[1574] Specific operation:

[1575] The user inputs an image or text of the hairstyle they want into the device application.

[1576] The device sends this data (images and text) to the server.

[1577] Input: Image or text information of the hairstyle you want.

[1578] Data calculation: The server uses an NLP library to analyze the text data and extract hairstyle features.

[1579] Output: Parsed hairstyle feature data.

[1580] Step 4: Hairstyle generation by AI

[1581] Specific operation:

[1582] The server retrieves the user's facial data and desired hairstyle characteristics data from the database.

[1583] The server inputs facial data and feature data into a generative AI model (e.g., StyleGAN) to generate a 360-degree hairstyle image.

[1584] The device displays the generated hairstyle image to the user.

[1585] Input: User's face data and desired hairstyle feature data.

[1586] Data calculation: The generative AI model generates a 360-degree view of the hairstyle.

[1587] Output: The generated 360-degree view hairstyle image.

[1588] Step 5: Enter and modify adjustment instructions

[1589] Specific operation:

[1590] The user checks the generated hairstyle image and inputs adjustment instructions for specific parts into the terminal.

[1591] The device sends the user's input data to the server.

[1592] The server will then use the generated AI model to modify the hairstyle.

[1593] The server generates an updated hairstyle image and transmits it to the terminal.

[1594] Input: User adjustment instructions.

[1595] Data calculation: The generative AI model regenerates the hairstyle image based on the adjustment instructions.

[1596] Output: The modified hairstyle image.

[1597] Step 6: Finalize and share your hairstyle

[1598] Specific operation:

[1599] The server generates the final hairstyle image taking into consideration the user's hair type data, personal color and professional advice.

[1600] The device will then present the final hairstyle image to the user.

[1601] The user reviews and confirms the final image.

[1602] The device sends the finalized image to the server, which then shares it with the hairdresser.

[1603] Input: User's hair type data, personal color, and professional advice.

[1604] Data calculation: The server considers all the data and generates the final hairstyle image.

[1605] Output: Final hairstyle image presented to the user, and image shared with the hairdresser.

[1606] (Application example 1)

[1607] 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."

[1608] With traditional communication methods at hair salons, it was difficult for users to specifically communicate their ideal hairstyle to the hairdresser, resulting in a finish that often differed from their ideal. Even when users input images or text of the hairstyle they wanted, the intention was not conveyed through flat visual information alone, and a 360-degree view was not possible, making it difficult to share an accurate image. Furthermore, it was unclear whether the final hairstyle would suit the user's hair type and personal color, forcing users to rely on the hairdresser's skill.

[1609] 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.

[1610] In this invention, the server includes: a means for a user to upload images of themselves taken from multiple angles from a terminal to the server; a means for inputting images or text of the user's desired hairstyle to the server; a means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and the desired hairstyle data; a means for presenting the generated hairstyle image to the user's terminal and for the user to input adjustment instructions; a means for the server to modify the hairstyle using the generative AI model based on the user's adjustment instructions; a means for the server to generate a final hairstyle image that reflects the user's and professional advice and present it to the terminal; and a means for sharing the final hairstyle image presented on the terminal with a hairdresser and providing instructions for the hairdresser to perform the treatment. This allows the user to specifically confirm their ideal hairstyle and share it with the hairdresser through effective communication. Furthermore, by suggesting an optimal hairstyle that takes into account the user's hair type data and personal color, a highly satisfying finish can be achieved.

[1611] A "generative AI model" is an algorithm that uses artificial intelligence to generate new data from specific data.

[1612] A "server" is a type of computer system that exchanges and processes data over a network.

[1613] "User terminal" refers to a device that is directly operated by the user, such as a smartphone or PC.

[1614] A "hairstyle image" is visual information of a hairstyle that can be viewed from all directions and is generated based on a user's facial image and desired hairstyle data.

[1615] The "adjustment instructions" refer to instructions for changes that reflect the user's wishes to make to the generated hairstyle image.

[1616] "Professional advice" refers to technical suggestions and advice provided by professionals such as hairdressers and stylists regarding a user's hairstyle.

[1617] "Hair Quality Data" refers to information regarding the characteristics of a User's hair (e.g., thickness, curl, volume, toughness, etc.).

[1618] "Personal colors" are a group of colors that are said to best match the user's skin tone and are used as a reference when deciding on a hairstyle.

[1619] A "hairdresser" refers to a professional who styles a user's hairstyle.

[1620] MODE FOR CARRYING OUT THE INVENTION

[1621] To implement this invention, it is necessary to build a system that effectively utilizes a server, user terminals (smartphones or PCs), and generative AI models. The system of the present invention is configured as follows.

[1622] How the program is implemented

[1623] 1. User image upload

[1624] Users take images of their face from multiple angles and upload them to the system from their device, such as a smartphone or computer.

[1625] The terminal appropriately compresses these images and transmits them over the network to the server.

[1626] The server converts the received images into a unified format (e.g., 224x224 pixels) and stores them in a database.

[1627] 2. Enter the desired hairstyle data

[1628] The user inputs an image or text of the desired hairstyle into the user terminal.

[1629] The terminal transmits this data to the server.

[1630] The server analyzes the received hairstyle data and extracts its features using natural language processing (NLP) and image analysis algorithms.

[1631] 3. Hairstyle generation by AI

[1632] The server combines the user's facial data with their desired hairstyle data and uses a generative AI model to generate a 360-degree hairstyle image.

[1633] This generative AI model is built using machine learning frameworks such as Keras and TensorFlow.

[1634] The terminal presents the generated hairstyle image to the user.

[1635] 4. User adjustment instructions

[1636] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[1637] The terminal sends this instruction to the server.

[1638] The server again uses the generative AI model to modify the hairstyle based on the user's adjustment instructions.

[1639] 5. Final hairstyle decision and professional advice

[1640] The server takes into account the user's hair type and personal color data and generates the final hairstyle image, using an algorithm that takes into account the user's hair type and fashion advice.

[1641] The final hairstyle image is displayed on the device for the user and hairdresser to review.

[1642] Based on this information, hairdressers can provide treatments that meet the user's wishes.

[1643] Examples and prompts

[1644] For example, consider a case where a user uses an application called "Smart Hair Design Assistant (tentative name)," which assists the user in the process of importing a photo of themselves, inputting the desired hairstyle, and generating the final hairstyle.

[1645] Examples of input prompts for generative AI models:

[1646] "Enter the face image of user ID: 12345 and the desired hairstyle of 'semi-long, with bangs, curly hair' to generate a new hairstyle image."

[1647] Based on this prompt, the generative AI model generates a hairstyle image and displays it on the user's smartphone or computer, allowing users to easily simulate their ideal hairstyle at home or at the salon and effectively communicate with their hairdresser.

[1648] As described above, this system allows users to confirm their ideal hairstyle in detail and accurately communicate it to the hairdresser. The final hairstyle image is shared with the hairdresser, so the hairdresser can perform the treatment based on the instructions and achieve the finish that the user desires.

[1649] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1650] Step 1:

[1651] The user takes pictures of themselves from multiple angles and uploads them to the server from their device. The user takes pictures of their face from multiple angles using a smartphone camera and uploads the image data through the application. At this time, the images are appropriately compressed and sent to the server via the network. The server converts the received images into a unified format (e.g., 224x224 pixels) and stores them in a database.

[1652] Input: Face images taken from multiple angles

[1653] Output: Images converted to a unified format

[1654] Step 2:

[1655] The user inputs an image or text of the hairstyle they want into the device. The user inputs an image of the hairstyle they want or a text description of the hairstyle through the application. This data is sent to the server via the network. The server analyzes the received data and extracts the characteristics of the desired hairstyle.

[1656] Input: Image or text of desired hairstyle

[1657] Output: Hairstyle feature data

[1658] Step 3:

[1659] The server uses a generative AI model to generate a 360-degree hairstyle image based on the user's image and desired hairstyle data. The server inputs the user's face data and desired hairstyle feature data and generates a 360-degree hairstyle image using the generative AI model. This generative AI model is built using machine learning frameworks such as Keras and TensorFlow.

[1660] Input: User's face data, desired hairstyle feature data

[1661] Output: 360-degree hairstyle image

[1662] Step 4:

[1663] The generated hairstyle image is presented to the user's device, and the user inputs adjustment instructions. The server then sends the generated hairstyle image to the user's device, which then displays the image to the user. The user checks the image and, if necessary, inputs adjustment instructions through the application.

[1664] Input: Generated 360-degree hairstyle image

[1665] Output: User adjustment instructions

[1666] Step 5:

[1667] Based on the user's adjustment instructions, the server uses the generative AI model to modify the hairstyle. The server receives the user's adjustment instructions and again uses the generative AI model based on those instructions to modify the hairstyle.

[1668] Input: User adjustment instructions

[1669] Output: Modified hairstyle image

[1670] Step 6:

[1671] The server generates a final hairstyle image that reflects the user's and professional's advice and displays it on the device. The server then generates the final hairstyle, taking into account the user's hair type data, personal color, and professional advice. The final hairstyle image is sent to the user's device, where it is reviewed by the user and hairdresser.

[1672] Input: User's hair type data, personal color, professional advice

[1673] Output: Final hairstyle image

[1674] Step 7:

[1675] The final hairstyle image displayed on the device is shared with the hairdresser, who provides instructions for the hairdresser to perform the treatment.The final hairstyle image displayed on the user's device is also shared with the hairdresser.The hairdresser will use this image to perform the treatment according to the user's wishes.

[1676] Input: Final hairstyle image

[1677] Output: Treatment instructions by a hairdresser

[1678] 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.

[1679] This is a visual communication system that allows users to set their ideal hairstyle, visually confirm it using a generation AI, and share it with a hairdresser to realize their ideal hairstyle. Furthermore, this system incorporates an emotion engine that recognizes the user's emotions and suggests and adjusts hairstyles based on the user's emotions.

[1680] The program of this system includes the following processing steps:

[1681] 1. User image upload

[1682] Users upload their own photos taken from multiple angles from their devices to the server.

[1683] The device compresses the photos taken and sends them to the server.

[1684] The server converts the received images into a unified format and stores them in a database.

[1685] 2. Enter the desired hairstyle data

[1686] Use the app's input field to enter an image or text of the hairstyle the user desires.

[1687] The terminal transmits this data to the server.

[1688] The server analyzes the received desired hairstyle data and extracts its features.

[1689] 3. Hairstyle generation by AI

[1690] The server combines the user's facial data with their desired hairstyle data.

[1691] The server uses the generative AI model to generate a 360-degree hairstyle image.

[1692] The terminal presents the generated hairstyle image to the user.

[1693] 4. User adjustment instructions

[1694] The user checks the generated hairstyle image and inputs adjustment instructions into the terminal.

[1695] The terminal sends this instruction to the server.

[1696] The server again uses the AI ​​model to modify the hairstyle and generate an updated hairstyle image.

[1697] 5. Emotion Recognition and Suggestion by Emotion Engine

[1698] The server analyzes the user's facial expression data and uses an emotion engine to recognize the user's emotions (e.g., joy, anxiety, satisfaction, etc.).

[1699] An emotion engine suggests hairstyle adjustments based on recognized emotions.

[1700] The user inputs new instructions based on the proposed adjustments.

[1701] 6. Final hairstyle decision and professional advice

[1702] The server generates the final hairstyle based on the user's hair type data, personal color, and professional opinions.

[1703] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[1704] The device shares the final image with the hairdresser, who then performs the treatment.

[1705] Specific examples

[1706] 1. Upload an image

[1707] Users open the smartphone app and take and upload photos of themselves from multiple angles.

[1708] The server receives the images and performs analysis.

[1709] 2. Enter your desired hairstyle

[1710] Users can upload a hairstyle image from a magazine into the app, or type in the text "rounded bob."

[1711] The server analyzes the desired hairstyle data and extracts features.

[1712] 3. Hairstyle generation by AI

[1713] The server combines the user's facial data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model.

[1714] The terminal displays the generated hairstyle image.

[1715] 4. User adjustment instructions

[1716] The user can view the hairstyle image in 360 degrees and input specific adjustment instructions, such as "make the bangs a little shorter."

[1717] 5. Emotion Recognition and Suggestion by Emotion Engine

[1718] The server analyzes the user's facial expression data and recognizes emotions such as "satisfaction," "anxiety," and "happiness."

[1719] If the emotion engine is not in a "satisfied" state, it will suggest further adjustments.

[1720] 6. Final hairstyle decision and professional advice

[1721] The server generates the final hairstyle image and finalizes it based on user and professional advice.

[1722] The device shares the final image with the hairdresser, who then performs the treatment based on the instructions.

[1723] This allows users to concretize the hairstyle that best suits their needs, and hairdressers can then perform the treatment appropriately based on that.

[1724] The processing flow will be explained below.

[1725] Step 1:

[1726] A user opens the smartphone app, the app's startup screen appears, and the user selects the "Upload a photo" button.

[1727] Step 2:

[1728] Users take photos of themselves from four angles: front, back, left and right, and a preview of each photo is displayed in the app.

[1729] Step 3:

[1730] The device takes photos, compresses them in the specified format (e.g., JPEG), and sends them to the server. Each photo contains the user ID.

[1731] Step 4:

[1732] The server converts the received photos into a standard format and stores them in a database. After storing them, it performs image analysis and performs preprocessing such as facial recognition.

[1733] Step 5:

[1734] The app uses an input field for users to enter an image or text of the hairstyle they want. Users can select an image of the hairstyle they want or write a description in text, such as "a natural bob with a slight curl."

[1735] Step 6:

[1736] The device sends the entered hairstyle image or text data to the server. The sent data includes the user ID.

[1737] Step 7:

[1738] The server analyzes the received data. The image analysis system extracts hairstyle features from the image, and the text analysis system extracts keywords from the input text.

[1739] Step 8:

[1740] The server combines the user's facial data with their desired hairstyle data, and uses a deep learning model to generate a hairstyle that matches the user's face shape.

[1741] Step 9:

[1742] The server renders the generated hairstyle in a 360-degree view to create a hairstyle image, which is then stored on the server and sent to the user.

[1743] Step 10:

[1744] The device receives the hairstyle image and displays it on the app, providing an interface that allows the user to check the hairstyle in 360 degrees and indicate any necessary adjustments.

[1745] Step 11:

[1746] The user inputs specific adjustment instructions such as "Make the bangs a little shorter" or "Add a little more volume." The interface includes a function to specify the area of ​​the adjustment.

[1747] Step 12:

[1748] The device sends the user's adjustment instructions to the server. The transmitted data includes the adjustment instructions and the user ID.

[1749] Step 13:

[1750] The server again uses the AI ​​model to adjust the hairstyle and generate an updated hairstyle image, which is then saved on the server and sent back to the user.

[1751] Step 14:

[1752] The server receives the user's facial expressions and analyzes them with the emotion engine, which generates emotion classification results such as joy, anxiety, and satisfaction.

[1753] Step 15:

[1754] The emotion engine will make hairstyle corrections and suggestions based on the emotion data, for example, if the user is not satisfied, it will suggest other hairstyle options.

[1755] Step 16:

[1756] The device presents suggestions from the emotion engine to the user, who then inputs new instructions based on the suggested adjustments.

[1757] Step 17:

[1758] The server makes adjustments based on the user's hair type data, personal color, and professional advice to generate the final hairstyle image.

[1759] Step 18:

[1760] The device displays the final hairstyle image and professional advice to the user, who then makes a final confirmation and taps the confirm button.

[1761] Step 19:

[1762] The device then shares the final image with the hairdresser. The transmitted data includes the user's ID and the final hairstyle image.

[1763] Step 20:

[1764] The hairdresser will create a treatment plan based on the final image received, and when the user receives treatment at the salon, they can use the shared image as a reference to achieve their ideal hairstyle.

[1765] Example 2

[1766] 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."

[1767] In the past, it was difficult for hairdressers to accurately communicate the user's desired hairstyle during communication between them. Furthermore, users lacked a way to visually confirm what hairstyle would suit them, which could lead to a decrease in satisfaction with the results. Furthermore, since hairstyle suggestions did not take the user's emotions into consideration, it was difficult to achieve the ideal hairstyle.

[1768] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for a user to upload images of themselves taken from multiple angles from a terminal to the server, a means for inputting images or text of the user's desired hairstyle to the server, a means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and data on the desired hairstyle, a means for the server to present the generated hairstyle image to the user's terminal and for the user to input adjustment instructions, a means for the server to again use the AI ​​model to modify the hairstyle based on the user's adjustment instructions, a means for the server to analyze the user's facial expression data and use an emotion engine to suggest hairstyle adjustments based on the user's emotions, a means for the server to generate a final hairstyle image that reflects the user's hair type data, personal color, and professional opinions and present it to the terminal, and a means for sharing the final hairstyle image with a hairdresser. This allows the user to visually confirm their desired hairstyle and receive adjustment suggestions based on their emotions, thereby realizing their ideal hairstyle.

[1769] "User" refers to an individual who uses the system to determine their own hairstyle.

[1770] "Terminal" refers to a device operated by a user (e.g., a smartphone or PC), and refers to a hardware or software device used to take photographs, enter data, display results, etc.

[1771] "Server" refers to a computer system that receives, stores, and analyzes data sent by users, and generates hairstyle images using a generative AI model and performs emotion analysis using an emotion engine.

[1772] "Generative AI model" refers to an artificial intelligence model that integrates a user's facial data with their desired hairstyle data and generates a hairstyle image according to the specified prompts.

[1773] A "prompt" is an instruction given to a generative AI model to obtain a specific output.

[1774] An "emotion engine" refers to an algorithm or software that analyzes a user's facial expression data, recognizes the user's emotions, and suggests hairstyle adjustments based on those emotions.

[1775] "Hair quality data" refers to information about the characteristics of a user's hair (e.g., hair thickness, hardness, volume, curl, etc.).

[1776] "Personal color" refers to information that indicates the range of colors that suit a user best based on their skin color, eye color, hair color, etc.

[1777] "Professional opinion" refers to evaluations and advice provided by hairdressers and other professionals regarding hairstyles and cutting methods that are suitable for users.

[1778] "Final hairstyle image" refers to the hairstyle image that is generated by the server based on the user's wishes, adjustment instructions, and professional opinions, and that is ultimately for the user to check.

[1779] This invention is a visual communication system that allows users to specifically define their ideal hairstyle, visually confirm it using a generative AI model, and share it with a hairdresser to realize their ideal hairstyle. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and suggests and adjusts hairstyles based on the user's emotions.

[1780] Hardware and software used

[1781] server:

[1782] High-performance computers

[1783] Image analysis algorithms (e.g., OpenCV)

[1784] Generative AI models (e.g., OpenAI's DALL-E)

[1785] Natural language processing engines (e.g. BERT)

[1786] Emotion engines (e.g., Affectiva)

[1787] Database System

[1788] Device:

[1789] Smartphone or PC

[1790] camera

[1791] Dedicated application

[1792] System operation procedures and processing flow

[1793] 1. User image upload:

[1794] Users use a smartphone app to take photos of themselves from multiple angles.

[1795] The device compresses the photos taken and sends them to the server.

[1796] The server converts the received image into JPEG format and stores it in the database.

[1797] The server uses image analysis algorithms to perform facial recognition processing and extract the necessary facial data.

[1798] 2. Enter the desired hairstyle:

[1799] Users can upload an image of the hairstyle they want to their app, or type "rounded bob" into the text field.

[1800] The terminal transmits the input data to the server.

[1801] The server analyzes the hairstyle image it receives using an image recognition model and extracts its features.

[1802] The server analyzes the text data using a natural language processing engine and extracts features.

[1803] 3. AI Hairstyle Generation:

[1804] The server combines the user's facial data with their desired hairstyle data.

[1805] The server uses the generative AI model to create a prompt.

[1806] The server inputs the prompt "Please display a round bob style in 360 degrees according to the user's face image" into the generative AI model and generates a 360-degree hairstyle image.

[1807] The terminal presents the generated hairstyle image to the user.

[1808] 4. User adjustment instructions:

[1809] The user can view the displayed hairstyle image in a 360-degree view.

[1810] The user inputs specific adjustment instructions into the device, such as "Make the bangs a little shorter."

[1811] The terminal sends this instruction to the server.

[1812] The server again inputs the prompt sentence into the generated AI model and generates an image of the corrected hairstyle.

[1813] The device presents the updated hairstyle image to the user.

[1814] 5. Emotion Recognition and Suggestion by Emotion Engine:

[1815] The server captures the user's facial expressions and analyzes them using an emotion engine.

[1816] The emotion engine recognizes the user's emotions (e.g., joy, anxiety, satisfaction, etc.).

[1817] Based on emotional data, the emotion engine makes suggestions for hairstyle adjustments, such as "I think it would be better if it was more rounded."

[1818] The user accepts the proposed adjustments and enters new instructions into the device.

[1819] The server again uses the generated AI model to adjust the hairstyle and generate an updated hairstyle image.

[1820] 6. Final hairstyle decisions and professional advice:

[1821] The server determines the final hairstyle based on the user's hair type data and personal color information.

[1822] The server takes the professional input of the hairdresser and generates the final hairstyle.

[1823] The device presents the final hairstyle image to the user, who then confirms and confirms it.

[1824] The device shares the final image with the hairdresser and provides them with the information they need for the treatment.

[1825] The hairdresser will then carry out the treatment based on the final image shared with them.

[1826] This allows users to concretize the hairstyle that best suits their needs, and hairdressers can then perform the treatment appropriately based on that.

[1827] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1828] Step 1:

[1829] User-uploaded images

[1830] Input: A user opens a smartphone app and takes photos of themselves from multiple angles.

[1831] How it works: Users press the "upload" button in the dedicated app to send a photo.

[1832] The device compresses the photos it takes and sends them to the server. The compressed data is used to reduce file size and improve communication speed.

[1833] Output: Compressed image data.

[1834] Step 2:

[1835] Image storage and analysis by server

[1836] Input: Compressed image data.

[1837] How it works: The server converts the received image into JPEG format and stores it in a database. The server then uses an image analysis algorithm (e.g. OpenCV) to perform facial recognition and extract the necessary facial data.

[1838] Output: Facial feature point data and saved image.

[1839] Step 3:

[1840] User inputs desired hairstyle data

[1841] Input: An image or text of the hairstyle you want (e.g., "rounded bob").

[1842] How it works: Users upload an image of their desired hairstyle in a dedicated app or enter instructions in a text field. The device then sends this data to a server.

[1843] Output: Desired hairstyle data (image or text).

[1844] Step 4:

[1845] Server analyzes desired hairstyle data

[1846] Input: Desired hairstyle data (image or text).

[1847] How it works: The server analyzes the received hairstyle image using an image recognition model (e.g., ResNet) and extracts its features. The server analyzes the text data using a natural language processing engine (e.g., BERT) and extracts features.

[1848] Output: Hairstyle feature data.

[1849] Step 5:

[1850] Hairstyle image generation using AI

[1851] Input: User's face data and desired hairstyle feature data.

[1852] How it works: The server combines these data and uses a generative AI model (e.g., OpenAI's DALL-E) to input the prompt "Please show me a 360-degree image of a round bob hairstyle that matches the user's face image." The generated 360-degree hairstyle image is then obtained.

[1853] Output: 360-degree hairstyle image.

[1854] Step 6:

[1855] User checks hairstyle image and gives instructions for adjustment

[1856] Input: A 360-degree hairstyle image.

[1857] How it works: The user checks the generated hairstyle image in 360-degree view, then inputs specific adjustment instructions (e.g., "Make the bangs a little shorter") into the device and sends it.

[1858] Output: Adjustment instruction data.

[1859] Step 7:

[1860] Server-based hairstyle modification

[1861] Input: Adjustment instruction data.

[1862] How it works: The server again inputs the prompt "Please display a 360-degree image of a round bob style with slightly shorter bangs, matching the user's face image" into the generated AI model, and generates an image of the modified hairstyle.

[1863] Output: A rectified 360-degree hairstyle image.

[1864] Step 8:

[1865] Emotion recognition and suggestions using an emotion engine

[1866] Input: User's facial expression data.

[1867] How it works: The server captures the user's facial expressions and analyzes them with an emotion engine (e.g., Affectiva). It recognizes the user's emotions (e.g., joy, anxiety, satisfaction, etc.) and makes suggestions for hairstyle adjustments based on the emotion data (e.g., "It would be better if it was more rounded").

[1868] Output: Sentiment analysis results and adjustment suggestions.

[1869] Step 9:

[1870] Finalize and share your hairstyle

[1871] Input: Final hairstyle image and adjustment suggestions.

[1872] How it works: The server generates a final hairstyle image based on the user's hair type data, personal color information, and professional opinions, and displays it on the device. The user confirms and approves the final image, which is then shared with the hairdresser. The hairdresser then performs the treatment based on the final image.

[1873] Output: Final hairstyle image and shared data for the hairdresser.

[1874] (Application example 2)

[1875] 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."

[1876] Conventional hairstyle suggestion systems lack the means for users to visualize their ideal hairstyle and share it accurately with their hairdressers, resulting in low user satisfaction. Furthermore, they are unable to suggest hairstyles that take the user's emotions into account, making it difficult to adjust the hairstyle to the optimal one.

[1877] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for a user to upload images of themselves taken from multiple angles from a terminal to the server; means for inputting images or text of the user's desired hairstyle to the server; means for the server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and data on the desired hairstyle; means for presenting the generated hairstyle image to the user's terminal and for the user to input adjustment instructions; means for the server to again use the AI ​​model to modify the hairstyle based on the user's adjustment instructions; means for using an emotion engine that recognizes the user's emotions to make hairstyle adjustment suggestions; and means for the server to generate a final hairstyle image that reflects advice from the user and a professional and present it to the terminal. This allows the user to visually confirm specific hairstyle images and receive optimal suggestions based on their emotions.

[1878] "User" refers to an individual who uses the system to visualize their hairstyle and receive adjustments and suggestions.

[1879] "Terminal" refers to an electronic device used by a user to upload images and data to the server and to check the generated hairstyle image.

[1880] "Server" refers to the central computer that processes images and data sent by users and generates and adjusts hairstyle images using generative AI models and emotion engines.

[1881] A "generative AI model" refers to an artificial intelligence model that generates 360-degree hairstyle images based on the user's facial data and desired hairstyle data.

[1882] An "emotion engine" is an engine that recognizes the user's emotions and suggests hairstyle adjustments based on those emotions.

[1883] "Hairstyle image" refers to a 360-degree visual hairstyle image generated by a generative AI model based on the user's facial data and desired hairstyle data.

[1884] "Adjustment instructions" refers to instructions that the user inputs into the terminal after checking the generated hairstyle image and specifying adjustments to the hairstyle.

[1885] "Professional advice" refers to opinions and suggestions from professionals such as hairdressers and hair stylists.

[1886] "Final hairstyle image" refers to the visual image of the final hairstyle generated by the server reflecting user and professional advice.

[1887] Generating a Program

[1888] The system for implementing this invention is based on a smartphone application and a cloud server. Each device has a specific role and uses the following hardware and software:

[1889] Hardware:

[1890] 1. Smartphone (device)

[1891] 2. Cloud server (AWS, etc.)

[1892] software:

[1893] 1. React Native (smartphone app development)

[1894] 2. Python (server side)

[1895] 3. TensorFlow (generative AI models, emotion recognition)

[1896] 4. OpenCV (Image Recognition and Processing)

[1897] Natural language processing explanation

[1898] User image upload

[1899] Users use a smartphone app to take pictures of themselves from multiple angles. These images are compressed and converted via React Native and sent to a cloud server via an API. The server receives the images, converts them into a unified format, and stores them in a database.

[1900] Enter your desired hairstyle data

[1901] Users input their hairstyle in text or image format, and this data is sent from the smartphone app to the server via an API, where it is analyzed and features of the hairstyle are extracted using TensorFlow.

[1902] Hairstyle generation by AI

[1903] The server combines the user's facial data with their desired hairstyle data, and generates a 360-degree hairstyle image using a generative AI model powered by TensorFlow. This image is then sent back to the smartphone via API and displayed to the user.

[1904] User adjustment instructions

[1905] The user can then review the generated hairstyle image and input any necessary adjustments via a smartphone app. This input data is then sent to a cloud server, which then uses the AI ​​model to regenerate the hairstyle.

[1906] Emotion recognition and suggestions using an emotion engine

[1907] The emotion engine on the server analyzes the user's facial expression data and recognizes emotions such as "satisfaction," "anxiety," and "happiness." The emotion data is processed using TensorFlow, and the system suggests optimal hairstyle adjustments.

[1908] Final hairstyle decisions and professional advice

[1909] The server generates the final hairstyle image, which is then finalized based on the user's and professional's advice. The finalized hairstyle image is shared with the hairdresser, who performs the hairstyle based on their instructions.

[1910] Specific examples

[1911] The user opens the app, takes three photos (front, side, and back), and uploads them. They then enter the text "casual bob cut." The server uses AI based on this data to generate a 360-degree image of the desired hairstyle. The user looks at the displayed image, inputs adjustment instructions such as "make the bangs a little shorter," and confirms the regenerated image. The user's facial expression data is used to read emotions such as "satisfaction" and "anxiety," and the app suggests the optimal adjustments. The final hairstyle image that the user has decided on is shared with the hairdresser, who then performs the treatment based on those instructions.

[1912] Prompt Sentence Examples

[1913] "Let's say a user wants a bob cut with rounded edges and check out the hairstyle in 360-degree view. Analyze the user's emotions, suggest optimal adjustments and finalize the hairstyle."

[1914] This system allows users to visually confirm specific hairstyle images and receive optimal suggestions based on their emotions. Hairdressers can then perform the treatment accurately based on those instructions, increasing user satisfaction.

[1915] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1916] Step 1:

[1917] A user opens a smartphone app and takes and uploads photos of themselves from multiple angles. For example, the user may take three photos (front, side, and back). These photos are compressed and converted on the device and sent to a cloud server via an API. The server receives the images, converts them into a unified format, and stores them in a database. This process allows the server to obtain and store the user's facial image data in a database.

[1918] Step 2:

[1919] The user inputs an image or text of the hairstyle they desire into the smartphone app. For example, the user can type "casual bob cut" into the text or upload an image. This data is sent from the device to the cloud server via API. The server receives the data, analyzes it, and extracts the characteristics of the hairstyle. This allows the server to obtain and analyze the user's desired hairstyle data.

[1920] Step 3:

[1921] The server combines the user's facial image data with their desired hairstyle data and generates a 360-degree hairstyle image using a generative AI model. Using TensorFlow, the AI ​​model inputs this data and generates a 3D image of the hairstyle that matches the user's face. This generated hairstyle image is then sent back to the smartphone via API and displayed to the user.

[1922] Step 4:

[1923] The user can check the 360-degree hairstyle image displayed on their smartphone and input any necessary adjustment instructions. For example, they can enter specific adjustment instructions such as "make the bangs a little shorter" into the app. These adjustment instructions are sent from the device to the server via API, and the server uses the generative AI model to modify the hairstyle based on these instructions. This generates a new hairstyle image based on the user's instructions.

[1924] Step 5:

[1925] The server uses an emotion engine to analyze the user's facial expression data. The user transmits their facial expression using a smartphone camera, and the server receives and analyzes the facial expression data, recognizing emotions such as "satisfaction," "anxiety," and "happiness." Based on this emotional data, the generative AI model suggests hairstyle adjustments that best suit the user's emotions. This allows the system to suggest the optimal hairstyle based on the user's emotions.

[1926] Step 6:

[1927] The server generates a final hairstyle image that reflects the user's feelings and professional advice. The image is then generated and the user makes a final confirmation via a smartphone app. The confirmed hairstyle image is shared with the hairdresser, who performs the treatment based on the user's instructions. This final confirmation and sharing process ensures that the user is satisfied with the hairstyle.

[1928] 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.

[1929] 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.

[1930] 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.

[1931] 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.

[1932] 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.

[1933] 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.

[1934] 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).

[1935] 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.

[1936] 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."

[1937] 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.

[1938] 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).

[1939] 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.

[1940] 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.

[1941] 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.

[1942] 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.

[1943] 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.

[1944] 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.

[1945] 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.

[1946] 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.

[1947] 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.

[1948] 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.

[1949] The following is further disclosed regarding the above embodiment.

[1950] (Claim 1)

[1951] A means for users to upload images of themselves taken from multiple angles from their device to the server;

[1952] A means for inputting an image or text of a hairstyle desired by the user into the server;

[1953] A means for a server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and the desired hairstyle data;

[1954] A means for presenting the generated hairstyle image to a user terminal and for the user to input adjustment instructions;

[1955] A means for the server to again use the AI ​​model to correct the hairstyle based on the user's adjustment instructions;

[1956] A means for the server to generate a final hairstyle image that reflects advice from the user and a professional and present it on the terminal;

[1957] A system including:

[1958] (Claim 2)

[1959] 2. The system according to claim 1, wherein the server generates the hairstyle image taking into consideration the user's hair type data and personal color.

[1960] (Claim 3)

[1961] 10. The system of claim 1, further comprising means for sharing the final hairstyle image displayed on the user terminal with a hairdresser.

[1962] "Example 1"

[1963] (Claim 1)

[1964] A means for users to upload images of themselves taken from multiple angles from their device to the server;

[1965] A means for compressing the uploaded image by the terminal and transmitting it to the server;

[1966] A means for converting the images received by the server into a unified format and storing them in a database;

[1967] A means for a user to input an image or text of a desired hairstyle into a terminal, and the terminal transmits the image or text to a server;

[1968] A means for the server to analyze the desired hairstyle data and extract features;

[1969] A means for the server to integrate the user's facial data and desired hairstyle data and generate a 360-degree hairstyle image using a generative AI model;

[1970] A means for presenting the generated hairstyle image to a user terminal and for the user to input specific adjustment instructions;

[1971] a means for the terminal to transmit a user's adjustment instruction to the server;

[1972] A means for the server to again use the generated AI model to modify the hairstyle and generate an updated hairstyle image;

[1973] A means for the server to generate a final hairstyle image taking into consideration the user's hair type data, personal color, and professional advice, and to display the image on the terminal;

[1974] A system including:

[1975] (Claim 2)

[1976] The system according to claim 1, wherein the server generates the hairstyle image taking into consideration the user's hair type data and personal color.

[1977] (Claim 3)

[1978] 10. The system of claim 1, wherein the terminal further comprises means for sharing the final hairstyle image with a hairdresser.

[1979] "Application Example 1"

[1980] (Claim 1)

[1981] A means for users to upload images of themselves taken from multiple angles from their device to the server;

[1982] A means for inputting an image or text of a hairstyle desired by the user into the server;

[1983] A means for a server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and the desired hairstyle data;

[1984] A means for presenting the generated hairstyle image to a user terminal and for the user to input adjustment instructions;

[1985] A means for the server to modify the hairstyle using the generated AI model based on the user's adjustment instructions;

[1986] A means for the server to generate a final hairstyle image that reflects advice from the user and a professional and present it on the terminal;

[1987] A means for sharing the final hairstyle image presented on the terminal with a hairdresser and providing instructions for the hairdresser to perform the hairstyle;

[1988] A system including:

[1989] (Claim 2)

[1990] 2. The system according to claim 1, wherein the server generates the hairstyle image taking into consideration the user's hair type data and personal color.

[1991] (Claim 3)

[1992] 10. The system of claim 1, further comprising means for sharing the final hairstyle image displayed on the smartphone with a hairdresser.

[1993] "Example 2: Combining Emotion Engines"

[1994] (Claim 1)

[1995] A means for users to upload images of themselves taken from multiple angles from their device to the server;

[1996] A means for inputting an image or text of a hairstyle desired by the user into the server;

[1997] A means for a server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and the desired hairstyle data;

[1998] A means for presenting the generated hairstyle image to a user terminal and for the user to input adjustment instructions;

[1999] A means for the server to again use the AI ​​model to correct the hairstyle based on the user's adjustment instructions;

[2000] A means for the server to analyze the user's facial expression data and suggest hairstyle adjustments based on the user's emotions using an emotion engine;

[2001] A means for the server to generate a final hairstyle image that reflects the user's hair type data, personal color, and professional opinions, and to display the image on the terminal;

[2002] A way to share the final hairstyle image with the hairdresser,

[2003] A system including:

[2004] (Claim 2)

[2005] 2. The system according to claim 1, wherein the server generates the hairstyle image taking into consideration the user's hair type data and personal color.

[2006] (Claim 3)

[2007] 10. The system of claim 1, further comprising means for sharing the final hairstyle image displayed on the user terminal with a hairdresser.

[2008] "Application example 2 when combining emotion engines"

[2009] (Claim 1)

[2010] A means for users to upload images of themselves taken from multiple angles from their device to the server;

[2011] A means for inputting an image or text of a hairstyle desired by the user into the server;

[2012] A means for a server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and the desired hairstyle data;

[2013] A means for presenting the generated hairstyle image to a user terminal and for the user to input adjustment instructions;

[2014] A means for the server to again use the AI ​​model to correct the hairstyle based on the user's adjustment instructions;

[2015] A means for suggesting hairstyle adjustments using an emotion engine that recognizes the user's emotions;

[2016] A means for the server to generate a final hairstyle image that reflects advice from the user and a professional and present it on the terminal;

[2017] A system including:

[2018] (Claim 2)

[2019] 2. The system according to claim 1, wherein the server generates the hairstyle image taking into consideration the user's hair type data and personal color.

[2020] (Claim 3)

[2021] 10. The system of claim 1, further comprising means for sharing the final hairstyle image displayed on the user terminal with a professional. [Explanation of symbols]

[2022] 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 means for users to upload images of themselves taken from multiple angles from their device to the server; A means for inputting an image or text of a hairstyle desired by the user into the server; A means for a server to generate a 360-degree hairstyle image using a generative AI model based on the user's image and the desired hairstyle data; A means for presenting the generated hairstyle image to a user terminal and for the user to input adjustment instructions; A means for the server to again use the AI ​​model to correct the hairstyle based on the user's adjustment instructions; A means for the server to generate a final hairstyle image that reflects advice from the user and a professional and present it on the terminal; A system including:

2. The system according to claim 1 , wherein the server generates the hairstyle image taking into consideration the user's hair type data and personal color.

3. The system of claim 1 further comprising means for sharing the final hairstyle image displayed on the user terminal with a hairdresser.

Images