System
The system addresses the limitations of traditional photo studios by using AI to analyze user inputs and generate customizable commemorative photos, offering a cost-effective and user-friendly alternative for capturing desired expressions and backgrounds.
Patent Information
- Application Number
- JP2024130419
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-08-06
- Publication Date
- 2026-02-19
AI Technical Summary
Traditional photo studios are expensive, require long shooting times, and offer limited background and clothing options, making it difficult for users to capture high-quality commemorative photos with their desired facial expressions.
A system that includes counseling means for inputting user preferences, image analysis using AI to determine optimal settings, and image generation to create realistic commemorative photos, along with advertising display means to suggest clothing and backgrounds, allowing users to select from multiple variations.
Enables users to easily obtain high-quality commemorative photos tailored to their needs, providing a customized photography experience with various options and increased user satisfaction.
Smart Images

Figure 2026028121000001_ABST
Abstract
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] Taking photos at a traditional photo studio is expensive, requiring both shooting and development fees. Furthermore, the long shooting time and limited background and clothing options make it difficult for users to capture commemorative photos with the facial expression they desire. These issues make it difficult to easily obtain high-quality commemorative photos. Furthermore, the limited clothing and background options mean that a customized photo experience is not provided. [Means for solving the problem]
[0005] To solve the above problems, the present invention employs the following means. A system is provided that includes a counseling means for inputting information about the user's desired purpose, clothing, and background; an image analysis means for analyzing images uploaded by the user using AI to acquire facial expressions, angles, and lighting conditions; an AI counseling means for generating optimal commemorative photo settings based on data from the counseling means and image analysis means; and an image generation means for generating realistic commemorative photos based on the generated settings. The system further includes an advertising display means that suggests clothing and backgrounds based on data from the counseling means and image analysis means, thereby providing the user with a variety of options and realizing a photography experience that best suits their needs. Furthermore, the system has the function of generating multiple variations of commemorative photos based on the settings generated by the AI counseling means, allowing the user to select their favorite photo from a variety of options.
[0006] "Counseling means" refers to an interface for users to input information such as their desired purpose, clothing, background, etc., and the function for collecting that data.
[0007] "Image analysis means" refers to the function in which AI analyzes images uploaded by users and obtains facial expressions, angles, lighting conditions, etc.
[0008] "AI counseling means" refers to an AI function that generates optimal commemorative photo settings (background, clothing, lighting conditions, etc.) based on data from counseling means and image analysis means.
[0009] "Image generation means" refers to the function that generates realistic commemorative photos based on the settings generated by the AI counseling means.
[0010] "Advertising display means" refers to the advertising function that suggests clothing and backgrounds to users based on data from the counseling means and image analysis means.
[0011] A "souvenir photo" refers to a high-quality photograph that includes the user's face or figure, and incorporates a specific purpose, background, clothing, etc.
[0012] "Analysis data" refers to information such as facial expression, angle, and lighting conditions obtained by image analysis means.
[0013] "Generated settings" refers to specific settings such as background, clothing, and lighting conditions that are generated by the AI counseling means based on analytical data and counseling information.
[0014] "Variations" refers to multiple types of commemorative photos generated based on different settings and conditions according to the user's needs. [Brief explanation of the drawings]
[0015] [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
[0016] 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.
[0017] First, the terms used in the following description will be explained.
[0018] 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).
[0019] 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.
[0020] 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.
[0021] 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.
[0022] 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."
[0023] [First embodiment]
[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.
[0025] 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.
[0026] 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).
[0027] 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.
[0028] 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.
[0029] 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.
[0030] 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.
[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.
[0032] 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.
[0033] 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.
[0034] 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.
[0035] 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."
[0036] This invention provides a system that allows users to easily create high-quality commemorative photographs. Below, we will create a program for this system and explain the specific processing of the program.
[0037] User Registration and Login
[0038] 1. Install and launch the app
[0039] Users install the app on their smartphone and create or log in to an account.
[0040] The server receives the user information, stores it in a database, and issues an authentication token, which is returned to the user.
[0041] 2. Enter your counseling information
[0042] Users enter information about their purpose, clothing, and background through the app.
[0043] The terminal transmits the input information to the server.
[0044] 3. Image upload and analysis
[0045] Users upload images of their favorite expressions.
[0046] The terminal transmits the image to the server.
[0047] The server inputs the image into an AI model, which analyzes facial expressions, angles, and lighting conditions.
[0048] 4. AI Counseling
[0049] The server sends the counseling information and image analysis data to the AI counseling module.
[0050] The AI counseling module generates the optimal commemorative photo settings (background, clothing, lighting conditions) and returns them to the server.
[0051] 5. Image Generation
[0052] Based on the results of the AI counseling method, the server calls up an image generation AI to generate a realistic commemorative photo.
[0053] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[0054] 6. Providing and storing results
[0055] The server stores the generated commemorative photos in a database and makes them available for users to download.
[0056] The device will notify the user and provide a preview of the generated photo and the option to download it.
[0057] Specific examples
[0058] For example, consider a case where a user wants to create a birthday photo. The specific process is as follows:
[0059] 1. User Registration and Login
[0060] User A downloads and installs the app.
[0061] User A creates an account and logs in.
[0062] The server verifies User A's information and issues an authentication token.
[0063] 2. Enter your counseling information
[0064] User A taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite).
[0065] The terminal transmits the input information to the server.
[0066] 3. Image upload and analysis
[0067] User A takes a selfie with their favorite expression and uploads it within the app.
[0068] The terminal transmits the image to the server.
[0069] The server inputs the images into an AI model and analyzes facial expressions and environmental conditions.
[0070] 4. AI Counseling
[0071] The server sends the counseling information and analysis data to the AI counseling module.
[0072] The AI counseling module generates a campsite background and casual clothing setting and returns it to the server.
[0073] 5. Image Generation
[0074] Based on the results of the AI counseling method, the server uses image generation AI to generate multiple variations of photos.
[0075] The generative AI superimposes User A's face onto a campsite background and applies casual clothing.
[0076] 6. Providing and storing results
[0077] The server saves the generated photos and generates a download URL.
[0078] The device sends a notification of the generated photo to User A and displays a preview screen.
[0079] User A checks the photo and downloads it.
[0080] This system allows users to easily obtain high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes.
[0081] The processing flow will be explained below.
[0082] Step 1:
[0083] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[0084] Step 2:
[0085] The device sends the email address and password entered by the user to the server.
[0086] Step 3:
[0087] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[0088] Step 4:
[0089] The user enters their email address and password on the login screen and taps the "Login" button.
[0090] Step 5:
[0091] The terminal sends the input information and the authentication token to the server and requests authentication.
[0092] Step 6:
[0093] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[0094] Step 7:
[0095] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[0096] Step 8:
[0097] The terminal transmits the input counseling information to the server.
[0098] Step 9:
[0099] Users can select an image of their favorite expression and upload the image from within the app.
[0100] Step 10:
[0101] The terminal transmits the image to the server.
[0102] Step 11:
[0103] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[0104] Step 12:
[0105] The server sends the analysis data obtained from the image analysis module and the counseling information to the AI counseling module.
[0106] Step 13:
[0107] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and image analysis results, and sends the results back to the server.
[0108] Step 14:
[0109] The server sends the results of the AI counseling to an image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of a commemorative photo.
[0110] Step 15:
[0111] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[0112] Step 16:
[0113] The device will send a notification to the user about the generated photos and display a preview screen, where the user can view the photos and download the ones they like.
[0114] Step 17:
[0115] The user can download and save the generated photo.
[0116] Example 1
[0117] 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."
[0118] Conventional commemorative photo generation systems have made it difficult to easily create high-quality photos that match the user's desired purpose, background, and clothing. Furthermore, the analysis accuracy of images uploaded by users is low, which has led to problems with the quality of the generated photos and user satisfaction. Furthermore, managing and providing the generated photos is cumbersome, making it difficult for users to easily download them.
[0119] 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.
[0120] In this invention, the server includes counseling means for inputting information about the user's desired purpose, clothing, and background, image analysis means for analyzing images uploaded by the user using artificial intelligence to obtain facial expressions, angle, and lighting conditions, artificial intelligence counseling means for generating optimal commemorative photo settings based on data from the counseling means and image analysis means, image generation means for generating realistic commemorative photos based on the generated settings, means for saving the generated commemorative photos in a database and providing them to the user so that they can be downloaded, and means for notifying the user of the generated commemorative photos and displaying a preview screen. This enables users to easily generate and download high-quality commemorative photos.
[0121] The "counseling tool" is a tool for users to input information about their desired purpose, clothing, and background.
[0122] The "image analysis means" is a means for analyzing images uploaded by users using artificial intelligence to obtain facial expressions, angles, and lighting conditions.
[0123] The "artificial intelligence counseling means" is a means for generating optimal settings for a commemorative photo based on data from the counseling means and the image analysis means.
[0124] The "image generation means" is a means for generating a realistic commemorative photograph based on the generated settings.
[0125] The "means for saving in a database" is a means for saving and managing the generated commemorative photographs.
[0126] The "means for providing" refers to a means for providing the generated commemorative photograph so that the user can download it.
[0127] The "notification means" is a means for notifying the user of the generated commemorative photo and displaying a preview screen.
[0128] The present invention provides a system that allows users to easily create high-quality commemorative photographs. A specific embodiment of this system will be described below.
[0129] System Overview
[0130] The system mainly comprises a counseling means for allowing the user to input information about the desired purpose, clothing, and background, an image analysis means for analyzing images uploaded by the user using artificial intelligence, an artificial intelligence counseling means for generating optimal commemorative photo settings based on data from the counseling means and the image analysis means, an image generation means for generating realistic commemorative photos based on the generated settings, a means for saving the generated commemorative photos in a database and providing them to the user so that they can be downloaded, and a means for notifying the user of the generated commemorative photo and displaying a preview screen.
[0131] Hardware and software used
[0132] Server: Data storage (e.g., Amazon RDS), AI modules (e.g., GPT-4, CLIP model), and image generation AI (e.g., Stable Diffusion).
[0133] Device: Use a smartphone or tablet to install and use the application.
[0134] User: A general user of the system.
[0135] Processing flow
[0136] 1. Install and launch the app
[0137] The user installs the app on their smartphone and launches it.
[0138] 2. User Registration and Login
[0139] The user creates an account or logs in.
[0140] The server receives the user information, stores it in a database, and issues an authentication token, which is returned to the user.
[0141] 3. Enter your counseling information
[0142] Through the app, users enter information about the occasion (e.g., birthday), outfit (e.g., casual), and setting (e.g., campsite).
[0143] The terminal transmits the input information to the server.
[0144] 4. Image Upload and Analysis
[0145] Users upload images of their favorite expressions.
[0146] The terminal transmits the image to the server.
[0147] The server inputs the image into an AI model, which analyzes facial expressions, angles, and lighting conditions.
[0148] 5. AI Counseling
[0149] The server sends the counseling information and image analysis data to the AI counseling module.
[0150] The AI counseling module generates optimal commemorative photo settings (e.g., background, clothing, lighting conditions) and returns them to the server.
[0151] 6. Image Generation
[0152] Based on the results of the AI counseling method, the server uses image generation AI to generate a realistic commemorative photo.
[0153] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[0154] 7. Providing and storing results
[0155] The server stores the generated commemorative photos in a database and makes them available for users to download.
[0156] The device will notify the user of the generated photo and display a preview screen.
[0157] Specific examples
[0158] For example, if a user wants to create a birthday photo, the specific prompt is as follows:
[0159] Example prompt sentence:
[0160] "I'd like to create a birthday photo. I want the photo to be casually dressed and have a campsite as the background."
[0161] This system allows users to easily obtain high-quality commemorative photos and enjoy a photography experience customized for specific purposes, resulting in increased user satisfaction.
[0162] The flow of the identification process in the first embodiment will be described with reference to FIG.
[0163] Step 1: Install and launch the app
[0164] Users install the app on their smartphones by downloading it from the app store, and once the installation process is complete, an icon appears on the home screen.
[0165] Users can launch the installed app by tapping it. When the app is launched, first-time users will be prompted to register, and existing users will be prompted to log in.
[0166] Input: Application installation and launch request
[0167] Output: Show splash screen
[0168] Step 2: User Registration and Login
[0169] To create or log in to an account, a user enters information such as an email address and password.
[0170] The terminal transmits the input information to the server.
[0171] The server receives the user information, stores it in a database, and also generates an authentication token and returns it to the user.
[0172] Input: Registration information (email address, password, etc.)
[0173] Output: Authentication token
[0174] Specifically, the server stores user information in a database, and if authentication is successful, generates and returns a token.
[0175] Step 3: Enter your counseling information
[0176] After logging in, users enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[0177] The terminal transmits the input information to the server.
[0178] Input: Information about the purpose, clothing, and background
[0179] Output: Save counseling information
[0180] Specifically, the server stores the received counseling information in a database and records it for subsequent processing.
[0181] Step 4: Upload and analyze images
[0182] Users take a picture of their favorite expression and upload it within the app.
[0183] The terminal transmits the image file to the server.
[0184] The server receives the image and inputs it into an image analysis AI model for analysis, obtaining facial expression, angle, and lighting conditions as analysis data.
[0185] Input: Image file
[0186] Output: Analysis results of facial expression, angle, and brightness
[0187] Specifically, the server inputs the image into the image analysis model and stores the analysis results in a database.
[0188] Step 5: AI Counseling
[0189] The server sends the counseling information and image analysis data to the AI counseling module.
[0190] The AI counseling module generates optimal commemorative photo settings (e.g., background, clothing, lighting conditions) and returns them to the server.
[0191] Input: Counseling information, image analysis data
[0192] Output: Optimal photo settings
[0193] Specifically, the AI counseling module analyzes the received data, calculates the optimal settings, and sends them to the server.
[0194] Step 6: Image generation
[0195] Based on the results of the AI counseling method, the server uses image generation AI to generate a realistic commemorative photo.
[0196] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[0197] Input: Commemorative photo settings
[0198] Output: The generated commemorative photo
[0199] Specifically, the server inputs the commemorative photo settings into the image generation AI and stores the multiple variation photos generated in a database.
[0200] Step 7: Serving and saving results
[0201] The server stores the generated commemorative photo in a database and generates a downloadable URL.
[0202] The device will notify the user of the generated commemorative photo and display a preview screen.
[0203] Users will see an in-app notification that shows a preview of the generated photo.
[0204] Input: Generated commemorative photo
[0205] Output: Download URL, notification
[0206] Specifically, the server saves the photo data, generates a download link and notifies the user, who can then view and download the photo within the app.
[0207] Through these processing steps, users can enjoy the benefits of a system that allows them to easily obtain high-quality commemorative photos.
[0208] (Application example 1)
[0209] 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."
[0210] Conventional commemorative photo generation systems make it difficult for users to easily create high-quality commemorative photos and instantly share them on content distribution services. Users have to go to a dedicated studio, and the background and outfit choices are limited. Furthermore, the customization of their own facial expressions and postures is extremely limited, making the experience stressful.
[0211] 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.
[0212] In this invention, the server includes an input means for inputting information about the user's desired purpose, clothing, and background, an image analysis means for analyzing images uploaded by the user using artificial intelligence to obtain facial expressions, angles, and lighting conditions, a counseling means for generating optimal commemorative photo settings based on data from the input means and image analysis means, an image generation means for generating realistic commemorative photos based on the generated settings, and a sharing means for sharing the generated commemorative photos with a content distribution service. This enables users to easily generate high-quality commemorative photos and share them instantly.
[0213] "Input means" refers to the means by which the user inputs information about the desired purpose, clothing, and background into the system.
[0214] The "image analysis means" is a means of analyzing images uploaded by users using artificial intelligence to obtain facial expressions, angles, and lighting conditions.
[0215] The "counseling means" is a means for generating optimal settings for a commemorative photo based on data from the input means and the image analysis means.
[0216] The "image generating means" is a means for generating a realistic commemorative photograph based on the settings generated by the counseling means.
[0217] The "sharing means" is a means for sharing the generated commemorative photo with a content distribution service.
[0218] The "display means" is a means for suggesting clothing and backgrounds to the user based on data from the input means and image analysis means.
[0219] This invention provides a system that enables users to easily create high-quality commemorative photos and instantly share them on a content distribution service. This system is composed of an input unit, an image analysis unit, a counseling unit, an image creation unit, and a sharing unit.
[0220] User Registration and Login
[0221] Users install the "Virtual Photo Studio" app on their smartphone or head-mounted display (hereafter referred to as the "device") and create or log in to an account. The server receives the user information, issues an authentication token, and returns it to the user.
[0222] Enter counseling information
[0223] The user enters information about the purpose, clothing, and background within the app (input means), and the device sends the information to the server.
[0224] Image upload and analysis
[0225] Users take a selfie of their favorite facial expression within the app and upload it (image analysis method). The device sends the image to the server, which then analyzes the image using a trained artificial intelligence model (e.g., TensorFlow or PyTorch) to obtain facial expression, angle, and lighting conditions.
[0226] AI Counseling
[0227] The server uses the counseling method based on the user's counseling information and image analysis data to generate the optimal commemorative photo settings (i.e., background, clothing, and lighting conditions). The generated settings are implemented by the AI counseling module.
[0228] Image generation
[0229] Next, the server uses an image generation method (e.g., a Generative Adversarial Network (GAN)) based on the results of the AI counseling method to generate a realistic commemorative photo. It synthesizes the background, clothing, and the user's facial expression to create multiple variations of the commemorative photo.
[0230] Providing and sharing results
[0231] The generated commemorative photos are stored in cloud storage (e.g., AWS S3). The server sends a notification to the user, who can then preview the photos and share them on social media or other content distribution services (sharing methods).
[0232] Specific examples
[0233] Here is a concrete example: Use the following prompt sentence to input to the AI counseling module.
[0234] text
[0235] Use: "Birthday"
[0236] Dress code: Casual
[0237] Background: "Campsite"
[0238] Facial Expression: <Selfie image uploaded by user>
[0239] The AI counseling module generates the following configuration:
[0240] text
[0241] The user's facial expression is composited against a campsite background, wearing casual clothing and lit under daylight conditions.
[0242] In this way, users can easily create high-quality commemorative photos tailored to specific purposes and share them instantly, enriching the user experience and providing a stress-free photo-taking and sharing process.
[0243] The flow of the specific processing in the application example 1 will be described with reference to FIG.
[0244] Step 1:
[0245] The user installs the "Virtual Photo Studio" app using a smartphone or head-mounted display and creates or logs in to an account. User name, email address, and password are required as input. The server stores the received user information in a database and issues and returns an authentication token to the user. This allows the user to use the app in an authenticated state.
[0246] Step 2:
[0247] The user enters information about the purpose, clothing, and background within the app. Examples of information entered include "birthday," "casual," and "campsite." The device sends the information entered by the user to the server, which then stores this counseling information in a database.
[0248] Step 3:
[0249] Users take a selfie with their favorite facial expression and upload it within the app. The input includes the user's image file. The device sends the uploaded image to a server, which analyzes the image using a trained artificial intelligence model (e.g., TensorFlow or PyTorch). The analysis results include facial expression, angle, and lighting conditions. This data is stored as face analysis data.
[0250] Step 4:
[0251] The server uses the counseling means based on the counseling information and face analysis data to generate the optimal commemorative photo settings. The counseling means includes an AI counseling module that sets the background, clothing, lighting conditions, etc. The following input is sent to the AI counseling module as a prompt:
[0252] text
[0253] Use: "Birthday"
[0254] Dress code: Casual
[0255] Background: "Campsite"
[0256] Facial Expression: <Selfie image uploaded by user>
[0257] Based on these inputs, the AI counseling module generates the following settings: "Composite the user's facial expression against the background of a campsite, apply casual clothing, and light under daytime lighting conditions." and returns this to the server.
[0258] Step 5:
[0259] The server generates realistic commemorative photos using an image generation method based on the output from the AI counseling module. The technology used includes a Generative Adversarial Network (GAN). The input includes facial analysis data and counseling settings. The output generates multiple variations of realistic commemorative photos. The generated images are stored in cloud storage (e.g., AWS S3).
[0260] Step 6:
[0261] The server notifies the user of the generated commemorative photo and provides a download link. The device displays the notification to the user and provides a preview screen of the generated photo. The user can then view the photo and share it on social media or other content distribution services. This operation is performed using a sharing method.
[0262] 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.
[0263] This invention is a system that recognizes the user's emotions and creates the most suitable commemorative photo. Below, we will create a program for this system and explain the specific processing of the program.
[0264] User Registration and Login
[0265] 1. Install and launch the app
[0266] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[0267] The device sends the email address and password entered by the user to the server.
[0268] 2. Storing Credentials
[0269] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[0270] 3. Log in
[0271] The user enters their email address and password on the login screen and taps the "Login" button.
[0272] The terminal sends the input information and the authentication token to the server and requests authentication.
[0273] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[0274] Enter counseling information
[0275] 4. Providing counseling tools
[0276] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[0277] The terminal transmits the input counseling information to the server.
[0278] Image upload and analysis
[0279] 5. Upload an image
[0280] Users can select an image of their favorite expression and upload the image from within the app.
[0281] The terminal transmits the image to the server.
[0282] 6. Image Analysis and Emotion Recognition
[0283] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[0284] The server sends the analyzed data to the emotion engine, which recognizes the emotion based on the user's facial expression data and sends the data back to the server.
[0285] AI counseling and photo generation
[0286] 7. AI Counseling
[0287] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module.
[0288] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and emotional data, and sends the results back to the server.
[0289] 8. Image Generation
[0290] The server sends the results of the AI counseling method to the image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of the commemorative photo.
[0291] Providing and storing results
[0292] 9. Saving and notifying results
[0293] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[0294] The device will send a notification of the generated photo to the user and display a preview screen where the user can view and download the photo.
[0295] Specific examples
[0296] For example, consider a case where a user wants to create a birthday photo. The specific process is as follows:
[0297] 1. User Registration
[0298] User A downloads and installs the app. User A creates an account and logs in. The server verifies the user information and issues an authentication token.
[0299] 2. Enter your counseling information
[0300] User A taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite). The device sends the entered information to the server.
[0301] 3. Upload an image
[0302] User A takes a selfie with their favorite expression and uploads it within the app. The device then sends the image to the server.
[0303] 4. Image Analysis and Emotion Recognition
[0304] The server receives the image, inputs it into the AI model, and analyzes facial expressions and environmental conditions. Furthermore, the emotion engine analyzes User A's emotions and obtains emotion data.
[0305] 5. AI Counseling
[0306] The server sends the counseling information, image analysis data, and emotion recognition data to the AI counseling module, which then generates a campsite background and casual clothing setting and sends it back to the server.
[0307] 6. Image Generation
[0308] Based on the results of the AI counseling procedure, the server uses image generation AI to generate multiple variations of photos. The generation AI composites User A's face against the background of a campsite and applies casual clothing.
[0309] 7. Providing and storing results
[0310] The server saves the generated photo and generates a download URL. The device notifies User A of the generated photo and displays a preview screen. User A checks the photo and downloads it.
[0311] This allows users to easily take high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes and emotions.
[0312] The processing flow will be explained below.
[0313] Step 1:
[0314] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[0315] Step 2:
[0316] The device sends the email address and password entered by the user to the server.
[0317] Step 3:
[0318] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[0319] Step 4:
[0320] The user enters their email address and password on the login screen and taps the "Login" button.
[0321] Step 5:
[0322] The terminal sends the input information and the authentication token to the server and requests authentication.
[0323] Step 6:
[0324] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[0325] Step 7:
[0326] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[0327] Step 8:
[0328] The terminal transmits the input counseling information to the server.
[0329] Step 9:
[0330] Users can select an image of their favorite expression and upload the image from within the app.
[0331] Step 10:
[0332] The terminal transmits the image to the server.
[0333] Step 11:
[0334] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[0335] Step 12:
[0336] The server sends the analyzed data to the emotion engine, which recognizes the emotion based on the user's facial expression data and sends the data back to the server.
[0337] Step 13:
[0338] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module.
[0339] Step 14:
[0340] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and emotional data, and sends the results back to the server.
[0341] Step 15:
[0342] The server sends the results of the AI counseling method to the image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of the commemorative photo.
[0343] Step 16:
[0344] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[0345] Step 17:
[0346] The device will send a notification of the generated photo to the user and display a preview screen where the user can view and download the photo.
[0347] Step 18:
[0348] The user can download and save the generated photo.
[0349] Example 2
[0350] 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."
[0351] Conventional commemorative photo generation systems have the problem that it is difficult to generate optimal commemorative photos that take into account the user's emotions, in addition to providing information about the user's desired purpose, background, and clothing. Furthermore, there was a lack of a means to efficiently analyze images uploaded by users, recognize their emotions, and provide appropriate commemorative photos, making it difficult to obtain results that satisfied users.
[0352] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.
[0353] In this invention, the server includes counseling means for inputting information about the user's desired purpose, clothing, and background, terminal means for transmitting the information input by the user to the server, authentication information storage means for saving the input information and uploaded image data in a database, image analysis means for analyzing the image uploaded by the user and acquiring facial expressions, angle, and lighting conditions, emotion recognition means for recognizing the user's emotions based on the results of the image analysis, AI counseling means for generating optimal commemorative photo settings based on data from the counseling means, image analysis means, and emotion recognition means, image generation means for generating realistic commemorative photos based on the generated settings, and result storage means for saving the generated commemorative photos in a database and notifying the user. This makes it possible to efficiently generate optimal commemorative photos that take the user's emotions into consideration, and obtain results that satisfy the user.
[0354] "Counseling tool" refers to an interface that allows users to input information about their desired purpose, clothing, and background.
[0355] "Terminal means" refers to devices and software for transmitting information entered by the user to the server.
[0356] "Authentication information storage means" refers to a means having the function of safely storing input information and uploaded image data in a database.
[0357] "Image analysis means" refers to technology that analyzes images uploaded by users and obtains information such as facial expressions, angles, and lighting conditions.
[0358] "Emotion recognition means" refers to a means for recognizing a user's emotions based on the results of image analysis and acquiring that data.
[0359] "AI counseling means" refers to artificial intelligence technology that generates optimal settings for commemorative photos based on data from counseling means, image analysis means, and emotion recognition means.
[0360] "Image generation means" refers to the technology and software used to generate realistic commemorative photographs based on the generated settings.
[0361] "Result storage means" refers to a means having the function of storing the generated commemorative photo in a database and notifying the user.
[0362] This invention is a system for generating an optimal commemorative photo that takes into consideration the user's desired purpose, background, clothing, and emotions. Specifically, it is implemented as follows.
[0363] First, the user installs a dedicated application on a device such as a smartphone or PC and launches the application. The user enters an email address and password on the account registration screen and taps the "Register" button. This information is sent from the device to the server, which receives it, stores the authentication information in a database, and creates a new user account. At this time, the server generates an authentication token and sends it back to the device.
[0364] Next, the user enters the email address and password they entered earlier on the login screen and taps the "Login" button. The device sends the entered information and authentication token to the server. The server authenticates this, and if successful, the user is directed to the main screen.
[0365] Users tap the "Start Counseling" button on the main screen and enter information about the purpose of the photo (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite). This data is sent from the device to the server.
[0366] Next, users select a photo with their favorite facial expression and upload it to the app. The image data is sent from the device to a server, where it is analyzed using an image analysis module that analyzes facial expressions, angles, lighting conditions, and other factors. The image analysis module uses software such as OpenCV and TensorFlow.
[0367] Once the analysis is complete, the server sends the data to an emotion recognition engine, which uses software such as Emotion API, to recognize the user's emotions. The emotion recognition engine then sends the results back to the server.
[0368] The server sends counseling information, image analysis data, and emotion recognition data to an AI counseling module, which uses a tool such as GPT-3 to generate optimal settings for a commemorative photo (background, clothing, lighting conditions, etc.) and returns the results to the server.
[0369] Based on the results of the AI counseling module, the server generates realistic commemorative photos using image generation AI (e.g., GANs: Generative Adversarial Networks). Multiple variations of the commemorative photos are saved and a download URL is provided that users can access.
[0370] The server saves the generated commemorative photo in a database and notifies the user's device, which then sends a notification to the user and displays a preview screen. The user can then check the photo and download it if necessary.
[0371] Specific examples
[0372] For example, a specific process for a user to create a birthday commemorative photo will be described.
[0373] 1. User Registration
[0374] A user downloads and installs an app. The user creates an account and logs in. The server verifies the user information and issues an authentication token.
[0375] 2. Enter your counseling information
[0376] The user taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite). The device sends the entered information to the server.
[0377] 3. Upload an image
[0378] Users take a selfie with their favorite expression and upload it within the app, and the device sends the image to the server.
[0379] 4. Image Analysis and Emotion Recognition
[0380] The server receives the image, inputs it into an AI model to analyze facial expressions and environmental conditions, and then analyzes the user's emotions using an emotion engine to obtain emotional data.
[0381] 5. AI Counseling
[0382] The server sends the counseling information, image analysis data, and emotion recognition data to the AI counseling module, which then generates a campsite background and casual clothing setting and sends it back to the server.
[0383] 6. Image Generation
[0384] Based on the results of the AI counseling procedure, the server uses image generation AI to generate multiple variations of photos, which then combine the user's face with the background of a campsite and apply casual clothing.
[0385] 7. Providing and storing results
[0386] The server saves the generated photo and generates a download URL. The device notifies the user of the generated photo and displays a preview screen. The user can then view and download the photo.
[0387] This allows users to easily capture high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes and emotions.
[0388] Prompt Sentence Examples
[0389] Below are some example prompts to input to a generative AI model:
[0390] Please explain the specific process of the system that recognizes the user's emotions and generates the optimal commemorative photo. A user follows the steps to create a birthday commemorative photo: they install the app, register an account, enter their personal information (purpose, clothing, background), and upload an image including their facial expression. Please provide a detailed description of the process by which the server analyzes the image and recognizes emotions, and the AI generates the optimal photo. Please also include specific operations.
[0391]
[0392] The flow of the identification process in the second embodiment will be described with reference to FIG.
[0393] Step 1:
[0394] Installing and launching the app
[0395] A user installs an app on their smartphone and launches it. Input: App installation request. Output: App installation completed and launch. Specifically, the user downloads the application from the app store and installs it on their device. They then launch the app and the account registration screen appears.
[0396] Step 2:
[0397] Account Registration
[0398] The user enters their email address and password and taps the "Register" button. Input: Email address and password. Output: Registration completion message and authentication token. The device sends the entered information to the server. The server receives the information, stores it in a database, and creates a new user account. The server then generates an authentication token and sends it back to the device.
[0399] Step 3:
[0400] Log in
[0401] The user enters their email address and password on the login screen and taps the "Login" button. Input: email address, password, authentication token. Output: login success message and permission to access the main screen. The device sends the email address, password, and authentication token to the server and requests authentication. The server verifies the user information, and if authentication is successful, allows login and provides access to the main screen.
[0402] Step 4:
[0403] Enter counseling information
[0404] The user taps the "Start Counseling" button on the main screen and enters information about the purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite). Input: Purpose, clothing, and background information. Output: Notification that the counseling information has been sent. The device sends the entered information to the server.
[0405] Step 5:
[0406] Uploading an image
[0407] The user selects an image of their favorite facial expression and uploads it within the app. Input: Image file. Output: Notification that the image has been uploaded. The device sends the image data to the server. The server receives the sent image data.
[0408] Step 6:
[0409] Image analysis and emotion recognition
[0410] The server uses an image analysis module to analyze the uploaded image. Input: Image data. Output: Image analysis results (facial expression, angle, lighting conditions, etc.). Specifically, the server uses an image analysis module (e.g., OpenCV or TensorFlow) to extract facial landmarks and analyze facial expressions. It then sends the analysis results to an emotion recognition engine, which recognizes emotions. The emotion recognition engine then sends the recognition results back to the server. Input: Image analysis results. Output: Emotion recognition data.
[0411] Step 7:
[0412] AI Counseling
[0413] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module. Input: counseling information, image analysis data, emotion recognition data. Output: optimal commemorative photo settings (background, clothing, lighting conditions, etc.). Specifically, the AI counseling module generates optimal commemorative photo settings based on this data and sends the results back to the server.
[0414] Step 8:
[0415] Image generation
[0416] The server sends the results of the AI counseling module to the image generation AI, which generates a realistic commemorative photo. Input: Optimal commemorative photo settings. Output: Generated commemorative photo. Specifically, the image generation AI (e.g., GANs) integrates the user's facial expression, background, and clothing to generate a realistic commemorative photo.
[0417] Step 9:
[0418] Save and notify results
[0419] The server saves the generated commemorative photo in a database and generates a download URL that the user can access. Input: Generated commemorative photo. Output: Download URL. The server notifies the device of the download URL, and the device sends a notification to the user. The user can check the generated photo on the preview screen and download it.
[0420] (Application example 2)
[0421] 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."
[0422] Conventional photo-taking systems have the problem that users spend a lot of time taking photos and require a lot of effort to obtain photos that satisfy them. In particular, in stores, if customers are not satisfied with the photos they take in real time, it affects the impression and satisfaction of the store. Furthermore, there is an issue that the system cannot generate photos that reflect the user's emotions, making it difficult to respond to individual needs.
[0423] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a counseling means for inputting information about the user's desired purpose, clothing, and background; an image analysis means for uploading real-time images taken by the user to a cloud server and analyzing the images using AI to acquire facial expressions, angle, and lighting conditions; an AI counseling means for generating optimal commemorative photo settings based on data from the counseling means and image analysis means; an image generation means for generating multiple variations of commemorative photos based on the generated settings and providing them to the user; and a notification means for generating download URLs for the generated commemorative photos and making them accessible to the user in real time. This allows users to instantly analyze and generate photos taken in the store and obtain high-quality commemorative photos in real time, significantly reducing the effort and time required for photography.
[0424] The "counseling method" is a method for users to input information about their desired purpose, clothing, and background.
[0425] The "image analysis means" is a means of uploading real-time images taken by the user to a cloud server and analyzing the images using AI to obtain facial expressions, angles, and lighting conditions.
[0426] The "AI counseling means" is a means for generating optimal settings for commemorative photos based on data from the counseling means and image analysis means.
[0427] The "image generation means" is a means for generating a variety of commemorative photographs based on the generated settings and providing them to the user.
[0428] The "notification means" is a means for generating a download URL for the generated commemorative photo and making it accessible to the user in real time.
[0429] The present invention is a system that generates and instantly provides the best commemorative photos based on images taken by users in real time within a store. This system includes the following main components:
[0430] 1. Counseling methods
[0431] The server provides a consultation tool for users to input information about their desired occasion, outfit, and background. Users input this information using a smartphone, tablet, or a photo booth device installed in a store. For example, if a user wants to take photos to commemorate their birthday, they input information such as "Occasion = Birthday," "Outfit = Casual," and "Background = Campsite."
[0432] 2. Image analysis methods
[0433] The server uploads images taken by users to a cloud server in real time, and the images are analyzed using AI. The system primarily acquires facial expressions, angles, and lighting conditions. The hardware used is a high-resolution camera, and the software is an image analysis library. This makes it possible to determine the user's realistic facial expressions and emotions.
[0434] 3. AI counseling methods
[0435] The server has an AI counseling means that generates optimal settings for a commemorative photo based on data from the counseling means and the image analysis means. The AI counseling means uses a generative AI model to propose settings such as the most suitable background, clothing, lighting conditions, etc. based on the user's attributes and emotional data.
[0436] 4. Image Generation Method
[0437] The server has an image generation means that generates multiple variations of commemorative photos based on the settings generated by the AI counseling means. This allows photos to be created in real time to be provided to users. The software used is an image generation library.
[0438] 5. Means of notification
[0439] The server generates a download URL for the generated commemorative photo and notifies the user in real time. Users can instantly view, download, and share the generated photo via smartphone or tablet. Notifications are sent via push notification or email.
[0440] Specific examples
[0441] For example, consider a case where a user enters a store's photo booth to celebrate a birthday. Using a tablet device, the user enters information such as "Occasion: Birthday," "Attire: Casual," and "Background: Campsite." The camera inside the photo booth then takes a photo in real time, and the image is uploaded to a cloud server. The server uses a generative AI model to analyze the facial expression in the captured image and selects the optimal background and effects. Finally, the AI generates multiple variations of the commemorative photo on the cloud, and notifies the user of the download URL. The user can check the photo on the preview screen and download it if they are satisfied.
[0442] Example prompts for generative AI models
[0443] Prompt to input to the generative AI model:
[0444] Theme: Birthday
[0445] Dress Code: Casual
[0446] Background: Campsite
[0447] User emotion analysis: happy, smiling
[0448] Generate a customized birthday photo by blending the user's face into a background using the settings below.
[0449] This allows users to easily and quickly obtain high-quality commemorative photos taken in stores, which is expected to improve user satisfaction and increase the value of store services.
[0450] The flow of the specific processing in the application example 2 will be described with reference to FIG.
[0451] Step 1:
[0452] Users log in to the app using a smartphone, tablet, or photo booth device. After logging in, users access a counseling screen where they enter information about the purpose, clothing, and background. The data entered by the user (purpose, clothing, background) is sent from the device to the server. Input data: purpose, clothing, background. Output data: counseling data.
[0453] Step 2:
[0454] Based on the received counseling data, the server prepares to accept real-time images taken by the user on the cloud. The user uses the camera in the photo booth to take photos in real time. The images taken by the user are uploaded from the terminal to the cloud server. Input data: Images taken by the user. Output data: Images uploaded to the cloud.
[0455] Step 3:
[0456] The server receives the images uploaded to the cloud and analyzes them using AI through image analysis means. The image analysis means analyzes conditions such as facial expression, angle, and brightness, and obtains that data. Input data: User's image. Output data: Facial expression, angle, and brightness conditions.
[0457] Step 4:
[0458] The server uses a generative AI model based on the analyzed data and counseling data to generate optimal commemorative photo settings. The AI counseling means receives the analyzed data and counseling data as input and sets the most suitable background, clothing, lighting conditions, etc. Input data: facial expression, angle, lighting conditions, counseling data. Output data: optimal commemorative photo settings.
[0459] Step 5:
[0460] The server uses the generated settings to generate multiple variations of commemorative photos using an image generation means. The image generation means integrates data such as background, clothing, and the user's face to generate multiple customized commemorative photos. Input data: Optimal commemorative photo settings. Output data: Multiple variations of commemorative photos.
[0461] Step 6:
[0462] The server saves the generated commemorative photos on the cloud and generates a download URL that the user can access. The server then sends a notification to the device, allowing the user to preview and download the generated commemorative photos. Input data: multiple variations of commemorative photos. Output data: download URL, notification message.
[0463] Step 7:
[0464] The user checks the received notification and checks the generated photo on the provided preview screen. If satisfied, the user downloads the photo and saves it to their local device. Input data: The photo on the preview screen. Output data: The downloaded photo.
[0465] 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.
[0466] 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.
[0467] 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.
[0468] [Second embodiment]
[0469] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.
[0470] 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.
[0471] 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).
[0472] 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.
[0473] 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.
[0474] 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).
[0475] 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.
[0476] 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.
[0477] 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.
[0478] 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.
[0479] 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.
[0480] 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."
[0481] This invention provides a system that allows users to easily create high-quality commemorative photographs. Below, we will create a program for this system and explain the specific processing of the program.
[0482] User Registration and Login
[0483] 1. Install and launch the app
[0484] Users install the app on their smartphone and create or log in to an account.
[0485] The server receives the user information, stores it in a database, and issues an authentication token, which is returned to the user.
[0486] 2. Enter your counseling information
[0487] Users enter information about their purpose, clothing, and background through the app.
[0488] The terminal transmits the input information to the server.
[0489] 3. Image upload and analysis
[0490] Users upload images of their favorite expressions.
[0491] The terminal transmits the image to the server.
[0492] The server inputs the image into an AI model, which analyzes facial expressions, angles, and lighting conditions.
[0493] 4. AI Counseling
[0494] The server sends the counseling information and image analysis data to the AI counseling module.
[0495] The AI counseling module generates the optimal commemorative photo settings (background, clothing, lighting conditions) and returns them to the server.
[0496] 5. Image Generation
[0497] Based on the results of the AI counseling method, the server calls up an image generation AI to generate a realistic commemorative photo.
[0498] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[0499] 6. Providing and storing results
[0500] The server stores the generated commemorative photos in a database and makes them available for users to download.
[0501] The device will notify the user and provide a preview of the generated photo and the option to download it.
[0502] Specific examples
[0503] For example, consider a case where a user wants to create a birthday photo. The specific process is as follows:
[0504] 1. User Registration and Login
[0505] User A downloads and installs the app.
[0506] User A creates an account and logs in.
[0507] The server verifies User A's information and issues an authentication token.
[0508] 2. Enter your counseling information
[0509] User A taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite).
[0510] The terminal transmits the input information to the server.
[0511] 3. Image upload and analysis
[0512] User A takes a selfie with their favorite expression and uploads it within the app.
[0513] The terminal transmits the image to the server.
[0514] The server inputs the images into an AI model and analyzes facial expressions and environmental conditions.
[0515] 4. AI Counseling
[0516] The server sends the counseling information and analysis data to the AI counseling module.
[0517] The AI counseling module generates a campsite background and casual clothing setting and returns it to the server.
[0518] 5. Image Generation
[0519] Based on the results of the AI counseling method, the server uses image generation AI to generate multiple variations of photos.
[0520] The generative AI superimposes User A's face onto a campsite background and applies casual clothing.
[0521] 6. Providing and storing results
[0522] The server saves the generated photos and generates a download URL.
[0523] The device sends a notification of the generated photo to User A and displays a preview screen.
[0524] User A checks the photo and downloads it.
[0525] This system allows users to easily obtain high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes.
[0526] The processing flow will be explained below.
[0527] Step 1:
[0528] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[0529] Step 2:
[0530] The device sends the email address and password entered by the user to the server.
[0531] Step 3:
[0532] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[0533] Step 4:
[0534] The user enters their email address and password on the login screen and taps the "Login" button.
[0535] Step 5:
[0536] The terminal sends the input information and the authentication token to the server and requests authentication.
[0537] Step 6:
[0538] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[0539] Step 7:
[0540] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[0541] Step 8:
[0542] The terminal transmits the input counseling information to the server.
[0543] Step 9:
[0544] Users can select an image of their favorite expression and upload the image from within the app.
[0545] Step 10:
[0546] The terminal transmits the image to the server.
[0547] Step 11:
[0548] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[0549] Step 12:
[0550] The server sends the analysis data obtained from the image analysis module and the counseling information to the AI counseling module.
[0551] Step 13:
[0552] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and image analysis results, and sends the results back to the server.
[0553] Step 14:
[0554] The server sends the results of the AI counseling to an image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of a commemorative photo.
[0555] Step 15:
[0556] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[0557] Step 16:
[0558] The device will send a notification to the user about the generated photos and display a preview screen, where the user can view the photos and download the ones they like.
[0559] Step 17:
[0560] The user can download and save the generated photo.
[0561] Example 1
[0562] 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."
[0563] Conventional commemorative photo generation systems have made it difficult to easily create high-quality photos that match the user's desired purpose, background, and clothing. Furthermore, the analysis accuracy of images uploaded by users is low, which has led to problems with the quality of the generated photos and user satisfaction. Furthermore, managing and providing the generated photos is cumbersome, making it difficult for users to easily download them.
[0564] 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.
[0565] In this invention, the server includes counseling means for inputting information about the user's desired purpose, clothing, and background, image analysis means for analyzing images uploaded by the user using artificial intelligence to obtain facial expressions, angle, and lighting conditions, artificial intelligence counseling means for generating optimal commemorative photo settings based on data from the counseling means and image analysis means, image generation means for generating realistic commemorative photos based on the generated settings, means for saving the generated commemorative photos in a database and providing them to the user so that they can be downloaded, and means for notifying the user of the generated commemorative photos and displaying a preview screen. This enables users to easily generate and download high-quality commemorative photos.
[0566] The "counseling tool" is a tool for users to input information about their desired purpose, clothing, and background.
[0567] The "image analysis means" is a means for analyzing images uploaded by users using artificial intelligence to obtain facial expressions, angles, and lighting conditions.
[0568] The "artificial intelligence counseling means" is a means for generating optimal settings for a commemorative photo based on data from the counseling means and the image analysis means.
[0569] The "image generation means" is a means for generating a realistic commemorative photograph based on the generated settings.
[0570] The "means for saving in a database" is a means for saving and managing the generated commemorative photographs.
[0571] The "means for providing" refers to a means for providing the generated commemorative photograph so that the user can download it.
[0572] The "notification means" is a means for notifying the user of the generated commemorative photo and displaying a preview screen.
[0573] The present invention provides a system that allows users to easily create high-quality commemorative photographs. A specific embodiment of this system will be described below.
[0574] System Overview
[0575] The system mainly comprises a counseling means for allowing the user to input information about the desired purpose, clothing, and background, an image analysis means for analyzing images uploaded by the user using artificial intelligence, an artificial intelligence counseling means for generating optimal commemorative photo settings based on data from the counseling means and the image analysis means, an image generation means for generating realistic commemorative photos based on the generated settings, a means for saving the generated commemorative photos in a database and providing them to the user so that they can be downloaded, and a means for notifying the user of the generated commemorative photo and displaying a preview screen.
[0576] Hardware and software used
[0577] Server: Data storage (e.g., Amazon RDS), AI modules (e.g., GPT-4, CLIP model), and image generation AI (e.g., Stable Diffusion).
[0578] Device: Use a smartphone or tablet to install and use the application.
[0579] User: A general user of the system.
[0580] Processing flow
[0581] 1. Install and launch the app
[0582] The user installs the app on their smartphone and launches it.
[0583] 2. User Registration and Login
[0584] The user creates an account or logs in.
[0585] The server receives the user information, stores it in a database, and issues an authentication token, which is returned to the user.
[0586] 3. Enter your counseling information
[0587] Through the app, users enter information about the occasion (e.g., birthday), outfit (e.g., casual), and setting (e.g., campsite).
[0588] The terminal transmits the input information to the server.
[0589] 4. Image Upload and Analysis
[0590] Users upload images of their favorite expressions.
[0591] The terminal transmits the image to the server.
[0592] The server inputs the image into an AI model, which analyzes facial expressions, angles, and lighting conditions.
[0593] 5. AI Counseling
[0594] The server sends the counseling information and image analysis data to the AI counseling module.
[0595] The AI counseling module generates optimal commemorative photo settings (e.g., background, clothing, lighting conditions) and returns them to the server.
[0596] 6. Image Generation
[0597] Based on the results of the AI counseling method, the server uses image generation AI to generate a realistic commemorative photo.
[0598] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[0599] 7. Providing and storing results
[0600] The server stores the generated commemorative photos in a database and makes them available for users to download.
[0601] The device will notify the user of the generated photo and display a preview screen.
[0602] Specific examples
[0603] For example, if a user wants to create a birthday photo, the specific prompt is as follows:
[0604] Example prompt sentence:
[0605] "I'd like to create a birthday photo. I want the photo to be casually dressed and have a campsite as the background."
[0606] This system allows users to easily obtain high-quality commemorative photos and enjoy a photography experience customized for specific purposes, resulting in increased user satisfaction.
[0607] The flow of the identification process in the first embodiment will be described with reference to FIG.
[0608] Step 1: Install and launch the app
[0609] Users install the app on their smartphones by downloading it from the app store, and once the installation process is complete, an icon appears on the home screen.
[0610] Users can launch the installed app by tapping it. When the app is launched, first-time users will be prompted to register, and existing users will be prompted to log in.
[0611] Input: Application installation and launch request
[0612] Output: Show splash screen
[0613] Step 2: User Registration and Login
[0614] To create or log in to an account, a user enters information such as an email address and password.
[0615] The terminal transmits the input information to the server.
[0616] The server receives the user information, stores it in a database, and also generates an authentication token and returns it to the user.
[0617] Input: Registration information (email address, password, etc.)
[0618] Output: Authentication token
[0619] Specifically, the server stores user information in a database, and if authentication is successful, generates and returns a token.
[0620] Step 3: Enter your counseling information
[0621] After logging in, users enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[0622] The terminal transmits the input information to the server.
[0623] Input: Information about the purpose, clothing, and background
[0624] Output: Save counseling information
[0625] Specifically, the server stores the received counseling information in a database and records it for subsequent processing.
[0626] Step 4: Upload and analyze images
[0627] Users take a picture of their favorite expression and upload it within the app.
[0628] The terminal transmits the image file to the server.
[0629] The server receives the image and inputs it into an image analysis AI model for analysis, obtaining facial expression, angle, and lighting conditions as analysis data.
[0630] Input: Image file
[0631] Output: Analysis results of facial expression, angle, and brightness
[0632] Specifically, the server inputs the image into the image analysis model and stores the analysis results in a database.
[0633] Step 5: AI Counseling
[0634] The server sends the counseling information and image analysis data to the AI counseling module.
[0635] The AI counseling module generates optimal commemorative photo settings (e.g., background, clothing, lighting conditions) and returns them to the server.
[0636] Input: Counseling information, image analysis data
[0637] Output: Optimal photo settings
[0638] Specifically, the AI counseling module analyzes the received data, calculates the optimal settings, and sends them to the server.
[0639] Step 6: Image generation
[0640] Based on the results of the AI counseling method, the server uses image generation AI to generate a realistic commemorative photo.
[0641] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[0642] Input: Commemorative photo settings
[0643] Output: The generated commemorative photo
[0644] Specifically, the server inputs the commemorative photo settings into the image generation AI and stores the multiple variation photos generated in a database.
[0645] Step 7: Serving and saving results
[0646] The server stores the generated commemorative photo in a database and generates a downloadable URL.
[0647] The device will notify the user of the generated commemorative photo and display a preview screen.
[0648] Users will see an in-app notification that shows a preview of the generated photo.
[0649] Input: Generated commemorative photo
[0650] Output: Download URL, notification
[0651] Specifically, the server saves the photo data, generates a download link and notifies the user, who can then view and download the photo within the app.
[0652] Through these processing steps, users can enjoy the benefits of a system that allows them to easily obtain high-quality commemorative photos.
[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] Conventional commemorative photo generation systems make it difficult for users to easily create high-quality commemorative photos and instantly share them on content distribution services. Users have to go to a dedicated studio, and the background and outfit choices are limited. Furthermore, the customization of their own facial expressions and postures is extremely limited, making the experience stressful.
[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 an input means for inputting information about the user's desired purpose, clothing, and background, an image analysis means for analyzing images uploaded by the user using artificial intelligence to obtain facial expressions, angles, and lighting conditions, a counseling means for generating optimal commemorative photo settings based on data from the input means and image analysis means, an image generation means for generating realistic commemorative photos based on the generated settings, and a sharing means for sharing the generated commemorative photos with a content distribution service. This enables users to easily generate high-quality commemorative photos and share them instantly.
[0658] "Input means" refers to the means by which the user inputs information about the desired purpose, clothing, and background into the system.
[0659] The "image analysis means" is a means of analyzing images uploaded by users using artificial intelligence to obtain facial expressions, angles, and lighting conditions.
[0660] The "counseling means" is a means for generating optimal settings for a commemorative photo based on data from the input means and the image analysis means.
[0661] The "image generating means" is a means for generating a realistic commemorative photograph based on the settings generated by the counseling means.
[0662] The "sharing means" is a means for sharing the generated commemorative photo with a content distribution service.
[0663] The "display means" is a means for suggesting clothing and backgrounds to the user based on data from the input means and image analysis means.
[0664] This invention provides a system that enables users to easily create high-quality commemorative photos and instantly share them on a content distribution service. This system is composed of an input unit, an image analysis unit, a counseling unit, an image creation unit, and a sharing unit.
[0665] User Registration and Login
[0666] Users install the "Virtual Photo Studio" app on their smartphone or head-mounted display (hereafter referred to as the "device") and create or log in to an account. The server receives the user information, issues an authentication token, and returns it to the user.
[0667] Enter counseling information
[0668] The user enters information about the purpose, clothing, and background within the app (input means), and the device sends the information to the server.
[0669] Image upload and analysis
[0670] Users take a selfie of their favorite facial expression within the app and upload it (image analysis method). The device sends the image to the server, which then analyzes the image using a trained artificial intelligence model (e.g., TensorFlow or PyTorch) to obtain facial expression, angle, and lighting conditions.
[0671] AI Counseling
[0672] The server uses the counseling method based on the user's counseling information and image analysis data to generate the optimal commemorative photo settings (i.e., background, clothing, and lighting conditions). The generated settings are implemented by the AI counseling module.
[0673] Image generation
[0674] Next, the server uses an image generation method (e.g., a Generative Adversarial Network (GAN)) based on the results of the AI counseling method to generate a realistic commemorative photo. It synthesizes the background, clothing, and the user's facial expression to create multiple variations of the commemorative photo.
[0675] Providing and sharing results
[0676] The generated commemorative photos are stored in cloud storage (e.g., AWS S3). The server sends a notification to the user, who can then preview the photos and share them on social media or other content distribution services (sharing methods).
[0677] Specific examples
[0678] Here is a concrete example: Use the following prompt sentence to input to the AI counseling module.
[0679] text
[0680] Use: "Birthday"
[0681] Dress code: Casual
[0682] Background: "Campsite"
[0683] Facial Expression: <Selfie image uploaded by user>
[0684] The AI counseling module generates the following configuration:
[0685] text
[0686] The user's facial expression is composited against a campsite background, wearing casual clothing and lit under daylight conditions.
[0687] In this way, users can easily create high-quality commemorative photos tailored to specific purposes and share them instantly, enriching the user experience and providing a stress-free photo-taking and sharing process.
[0688] The flow of the specific processing in the application example 1 will be described with reference to FIG.
[0689] Step 1:
[0690] The user installs the "Virtual Photo Studio" app using a smartphone or head-mounted display and creates or logs in to an account. User name, email address, and password are required as input. The server stores the received user information in a database and issues and returns an authentication token to the user. This allows the user to use the app in an authenticated state.
[0691] Step 2:
[0692] The user enters information about the purpose, clothing, and background within the app. Examples of information entered include "birthday," "casual," and "campsite." The device sends the information entered by the user to the server, which then stores this counseling information in a database.
[0693] Step 3:
[0694] Users take a selfie with their favorite facial expression and upload it within the app. The input includes the user's image file. The device sends the uploaded image to a server, which analyzes the image using a trained artificial intelligence model (e.g., TensorFlow or PyTorch). The analysis results include facial expression, angle, and lighting conditions. This data is stored as face analysis data.
[0695] Step 4:
[0696] The server uses the counseling means based on the counseling information and face analysis data to generate the optimal commemorative photo settings. The counseling means includes an AI counseling module that sets the background, clothing, lighting conditions, etc. The following input is sent to the AI counseling module as a prompt:
[0697] text
[0698] Use: "Birthday"
[0699] Dress code: Casual
[0700] Background: "Campsite"
[0701] Facial Expression: <Selfie image uploaded by user>
[0702] Based on these inputs, the AI counseling module generates the following settings: "Composite the user's facial expression against the background of a campsite, apply casual clothing, and light under daytime lighting conditions." and returns this to the server.
[0703] Step 5:
[0704] The server generates realistic commemorative photos using an image generation method based on the output from the AI counseling module. The technology used includes a Generative Adversarial Network (GAN). The input includes facial analysis data and counseling settings. The output generates multiple variations of realistic commemorative photos. The generated images are stored in cloud storage (e.g., AWS S3).
[0705] Step 6:
[0706] The server notifies the user of the generated commemorative photo and provides a download link. The device displays the notification to the user and provides a preview screen of the generated photo. The user can then view the photo and share it on social media or other content distribution services. This operation is performed using a sharing method.
[0707] 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.
[0708] This invention is a system that recognizes the user's emotions and creates the most suitable commemorative photo. Below, we will create a program for this system and explain the specific processing of the program.
[0709] User Registration and Login
[0710] 1. Install and launch the app
[0711] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[0712] The device sends the email address and password entered by the user to the server.
[0713] 2. Storing Credentials
[0714] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[0715] 3. Log in
[0716] The user enters their email address and password on the login screen and taps the "Login" button.
[0717] The terminal sends the input information and the authentication token to the server and requests authentication.
[0718] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[0719] Enter counseling information
[0720] 4. Providing counseling tools
[0721] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[0722] The terminal transmits the input counseling information to the server.
[0723] Image upload and analysis
[0724] 5. Upload an image
[0725] Users can select an image of their favorite expression and upload the image from within the app.
[0726] The terminal transmits the image to the server.
[0727] 6. Image Analysis and Emotion Recognition
[0728] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[0729] The server sends the analyzed data to the emotion engine, which recognizes the emotion based on the user's facial expression data and sends the data back to the server.
[0730] AI counseling and photo generation
[0731] 7. AI Counseling
[0732] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module.
[0733] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and emotional data, and sends the results back to the server.
[0734] 8. Image Generation
[0735] The server sends the results of the AI counseling method to the image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of the commemorative photo.
[0736] Providing and storing results
[0737] 9. Saving and notifying results
[0738] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[0739] The device will send a notification of the generated photo to the user and display a preview screen where the user can view and download the photo.
[0740] Specific examples
[0741] For example, consider a case where a user wants to create a birthday photo. The specific process is as follows:
[0742] 1. User Registration
[0743] User A downloads and installs the app. User A creates an account and logs in. The server verifies the user information and issues an authentication token.
[0744] 2. Enter your counseling information
[0745] User A taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite). The device sends the entered information to the server.
[0746] 3. Upload an image
[0747] User A takes a selfie with their favorite expression and uploads it within the app. The device then sends the image to the server.
[0748] 4. Image Analysis and Emotion Recognition
[0749] The server receives the image, inputs it into the AI model, and analyzes facial expressions and environmental conditions. Furthermore, the emotion engine analyzes User A's emotions and obtains emotion data.
[0750] 5. AI Counseling
[0751] The server sends the counseling information, image analysis data, and emotion recognition data to the AI counseling module, which then generates a campsite background and casual clothing setting and sends it back to the server.
[0752] 6. Image Generation
[0753] Based on the results of the AI counseling procedure, the server uses image generation AI to generate multiple variations of photos. The generation AI composites User A's face against the background of a campsite and applies casual clothing.
[0754] 7. Providing and storing results
[0755] The server saves the generated photo and generates a download URL. The device notifies User A of the generated photo and displays a preview screen. User A checks the photo and downloads it.
[0756] This allows users to easily take high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes and emotions.
[0757] The processing flow will be explained below.
[0758] Step 1:
[0759] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[0760] Step 2:
[0761] The device sends the email address and password entered by the user to the server.
[0762] Step 3:
[0763] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[0764] Step 4:
[0765] The user enters their email address and password on the login screen and taps the "Login" button.
[0766] Step 5:
[0767] The terminal sends the input information and the authentication token to the server and requests authentication.
[0768] Step 6:
[0769] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[0770] Step 7:
[0771] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[0772] Step 8:
[0773] The terminal transmits the input counseling information to the server.
[0774] Step 9:
[0775] Users can select an image of their favorite expression and upload the image from within the app.
[0776] Step 10:
[0777] The terminal transmits the image to the server.
[0778] Step 11:
[0779] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[0780] Step 12:
[0781] The server sends the analyzed data to the emotion engine, which recognizes the emotion based on the user's facial expression data and sends the data back to the server.
[0782] Step 13:
[0783] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module.
[0784] Step 14:
[0785] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and emotional data, and sends the results back to the server.
[0786] Step 15:
[0787] The server sends the results of the AI counseling method to the image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of the commemorative photo.
[0788] Step 16:
[0789] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[0790] Step 17:
[0791] The device will send a notification of the generated photo to the user and display a preview screen where the user can view and download the photo.
[0792] Step 18:
[0793] The user can download and save the generated photo.
[0794] Example 2
[0795] 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."
[0796] Conventional commemorative photo generation systems have the problem that it is difficult to generate optimal commemorative photos that take into account the user's emotions, in addition to providing information about the user's desired purpose, background, and clothing. Furthermore, there was a lack of a means to efficiently analyze images uploaded by users, recognize their emotions, and provide appropriate commemorative photos, making it difficult to obtain results that satisfied users.
[0797] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.
[0798] In this invention, the server includes counseling means for inputting information about the user's desired purpose, clothing, and background, terminal means for transmitting the information input by the user to the server, authentication information storage means for saving the input information and uploaded image data in a database, image analysis means for analyzing the image uploaded by the user and acquiring facial expressions, angle, and lighting conditions, emotion recognition means for recognizing the user's emotions based on the results of the image analysis, AI counseling means for generating optimal commemorative photo settings based on data from the counseling means, image analysis means, and emotion recognition means, image generation means for generating realistic commemorative photos based on the generated settings, and result storage means for saving the generated commemorative photos in a database and notifying the user. This makes it possible to efficiently generate optimal commemorative photos that take the user's emotions into consideration, and obtain results that satisfy the user.
[0799] "Counseling tool" refers to an interface that allows users to input information about their desired purpose, clothing, and background.
[0800] "Terminal means" refers to devices and software for transmitting information entered by the user to the server.
[0801] "Authentication information storage means" refers to a means having the function of safely storing input information and uploaded image data in a database.
[0802] "Image analysis means" refers to technology that analyzes images uploaded by users and obtains information such as facial expressions, angles, and lighting conditions.
[0803] "Emotion recognition means" refers to a means for recognizing a user's emotions based on the results of image analysis and acquiring that data.
[0804] "AI counseling means" refers to artificial intelligence technology that generates optimal settings for commemorative photos based on data from counseling means, image analysis means, and emotion recognition means.
[0805] "Image generation means" refers to the technology and software used to generate realistic commemorative photographs based on the generated settings.
[0806] "Result storage means" refers to a means having the function of storing the generated commemorative photo in a database and notifying the user.
[0807] This invention is a system for generating an optimal commemorative photo that takes into consideration the user's desired purpose, background, clothing, and emotions. Specifically, it is implemented as follows.
[0808] First, the user installs a dedicated application on a device such as a smartphone or PC and launches the application. The user enters an email address and password on the account registration screen and taps the "Register" button. This information is sent from the device to the server, which receives it, stores the authentication information in a database, and creates a new user account. At this time, the server generates an authentication token and sends it back to the device.
[0809] Next, the user enters the email address and password they entered earlier on the login screen and taps the "Login" button. The device sends the entered information and authentication token to the server. The server authenticates this, and if successful, the user is directed to the main screen.
[0810] Users tap the "Start Counseling" button on the main screen and enter information about the purpose of the photo (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite). This data is sent from the device to the server.
[0811] Next, users select a photo with their favorite facial expression and upload it to the app. The image data is sent from the device to a server, where it is analyzed using an image analysis module that analyzes facial expressions, angles, lighting conditions, and other factors. The image analysis module uses software such as OpenCV and TensorFlow.
[0812] Once the analysis is complete, the server sends the data to an emotion recognition engine, which uses software such as Emotion API, to recognize the user's emotions. The emotion recognition engine then sends the results back to the server.
[0813] The server sends counseling information, image analysis data, and emotion recognition data to an AI counseling module, which uses a tool such as GPT-3 to generate optimal settings for a commemorative photo (background, clothing, lighting conditions, etc.) and returns the results to the server.
[0814] Based on the results of the AI counseling module, the server generates realistic commemorative photos using image generation AI (e.g., GANs: Generative Adversarial Networks). Multiple variations of the commemorative photos are saved and a download URL is provided that users can access.
[0815] The server saves the generated commemorative photo in a database and notifies the user's device, which then sends a notification to the user and displays a preview screen. The user can then check the photo and download it if necessary.
[0816] Specific examples
[0817] For example, a specific process for a user to create a birthday commemorative photo will be described.
[0818] 1. User Registration
[0819] A user downloads and installs an app. The user creates an account and logs in. The server verifies the user information and issues an authentication token.
[0820] 2. Enter your counseling information
[0821] The user taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite). The device sends the entered information to the server.
[0822] 3. Upload an image
[0823] Users take a selfie with their favorite expression and upload it within the app, and the device sends the image to the server.
[0824] 4. Image Analysis and Emotion Recognition
[0825] The server receives the image, inputs it into an AI model to analyze facial expressions and environmental conditions, and then analyzes the user's emotions using an emotion engine to obtain emotional data.
[0826] 5. AI Counseling
[0827] The server sends the counseling information, image analysis data, and emotion recognition data to the AI counseling module, which then generates a campsite background and casual clothing setting and sends it back to the server.
[0828] 6. Image Generation
[0829] Based on the results of the AI counseling procedure, the server uses image generation AI to generate multiple variations of photos, which then combine the user's face with the background of a campsite and apply casual clothing.
[0830] 7. Providing and storing results
[0831] The server saves the generated photo and generates a download URL. The device notifies the user of the generated photo and displays a preview screen. The user can then view and download the photo.
[0832] This allows users to easily capture high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes and emotions.
[0833] Prompt Sentence Examples
[0834] Below are some example prompts to input to a generative AI model:
[0835] Please explain the specific process of the system that recognizes the user's emotions and generates the optimal commemorative photo. A user follows the steps to create a birthday commemorative photo: they install the app, register an account, enter their personal information (purpose, clothing, background), and upload an image including their facial expression. Please provide a detailed description of the process by which the server analyzes the image and recognizes emotions, and the AI generates the optimal photo. Please also include specific operations.
[0836]
[0837] The flow of the identification process in the second embodiment will be described with reference to FIG.
[0838] Step 1:
[0839] Installing and launching the app
[0840] A user installs an app on their smartphone and launches it. Input: App installation request. Output: App installation completed and launch. Specifically, the user downloads the application from the app store and installs it on their device. They then launch the app and the account registration screen appears.
[0841] Step 2:
[0842] Account Registration
[0843] The user enters their email address and password and taps the "Register" button. Input: Email address and password. Output: Registration completion message and authentication token. The device sends the entered information to the server. The server receives the information, stores it in a database, and creates a new user account. The server then generates an authentication token and sends it back to the device.
[0844] Step 3:
[0845] Log in
[0846] The user enters their email address and password on the login screen and taps the "Login" button. Input: email address, password, authentication token. Output: login success message and permission to access the main screen. The device sends the email address, password, and authentication token to the server and requests authentication. The server verifies the user information, and if authentication is successful, allows login and provides access to the main screen.
[0847] Step 4:
[0848] Enter counseling information
[0849] The user taps the "Start Counseling" button on the main screen and enters information about the purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite). Input: Purpose, clothing, and background information. Output: Notification that the counseling information has been sent. The device sends the entered information to the server.
[0850] Step 5:
[0851] Uploading an image
[0852] The user selects an image of their favorite facial expression and uploads it within the app. Input: Image file. Output: Notification that the image has been uploaded. The device sends the image data to the server. The server receives the sent image data.
[0853] Step 6:
[0854] Image analysis and emotion recognition
[0855] The server uses an image analysis module to analyze the uploaded image. Input: Image data. Output: Image analysis results (facial expression, angle, lighting conditions, etc.). Specifically, the server uses an image analysis module (e.g., OpenCV or TensorFlow) to extract facial landmarks and analyze facial expressions. It then sends the analysis results to an emotion recognition engine, which recognizes emotions. The emotion recognition engine then sends the recognition results back to the server. Input: Image analysis results. Output: Emotion recognition data.
[0856] Step 7:
[0857] AI Counseling
[0858] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module. Input: counseling information, image analysis data, emotion recognition data. Output: optimal commemorative photo settings (background, clothing, lighting conditions, etc.). Specifically, the AI counseling module generates optimal commemorative photo settings based on this data and sends the results back to the server.
[0859] Step 8:
[0860] Image generation
[0861] The server sends the results of the AI counseling module to the image generation AI, which generates a realistic commemorative photo. Input: Optimal commemorative photo settings. Output: Generated commemorative photo. Specifically, the image generation AI (e.g., GANs) integrates the user's facial expression, background, and clothing to generate a realistic commemorative photo.
[0862] Step 9:
[0863] Save and notify results
[0864] The server saves the generated commemorative photo in a database and generates a download URL that the user can access. Input: Generated commemorative photo. Output: Download URL. The server notifies the device of the download URL, and the device sends a notification to the user. The user can check the generated photo on the preview screen and download it.
[0865] (Application example 2)
[0866] 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."
[0867] Conventional photo-taking systems have the problem that users spend a lot of time taking photos and require a lot of effort to obtain photos that satisfy them. In particular, in stores, if customers are not satisfied with the photos they take in real time, it affects the impression and satisfaction of the store. Furthermore, there is an issue that the system cannot generate photos that reflect the user's emotions, making it difficult to respond to individual needs.
[0868] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a counseling means for inputting information about the user's desired purpose, clothing, and background; an image analysis means for uploading real-time images taken by the user to a cloud server and analyzing the images using AI to acquire facial expressions, angle, and lighting conditions; an AI counseling means for generating optimal commemorative photo settings based on data from the counseling means and image analysis means; an image generation means for generating multiple variations of commemorative photos based on the generated settings and providing them to the user; and a notification means for generating download URLs for the generated commemorative photos and making them accessible to the user in real time. This allows users to instantly analyze and generate photos taken in the store and obtain high-quality commemorative photos in real time, significantly reducing the effort and time required for photography.
[0869] The "counseling method" is a method for users to input information about their desired purpose, clothing, and background.
[0870] The "image analysis means" is a means of uploading real-time images taken by the user to a cloud server and analyzing the images using AI to obtain facial expressions, angles, and lighting conditions.
[0871] The "AI counseling means" is a means for generating optimal settings for commemorative photos based on data from the counseling means and image analysis means.
[0872] The "image generation means" is a means for generating a variety of commemorative photographs based on the generated settings and providing them to the user.
[0873] The "notification means" is a means for generating a download URL for the generated commemorative photo and making it accessible to the user in real time.
[0874] The present invention is a system that generates and instantly provides the best commemorative photos based on images taken by users in real time within a store. This system includes the following main components:
[0875] 1. Counseling methods
[0876] The server provides a consultation tool for users to input information about their desired occasion, outfit, and background. Users input this information using a smartphone, tablet, or a photo booth device installed in a store. For example, if a user wants to take photos to commemorate their birthday, they input information such as "Occasion = Birthday," "Outfit = Casual," and "Background = Campsite."
[0877] 2. Image analysis methods
[0878] The server uploads images taken by users to a cloud server in real time, and the images are analyzed using AI. The system primarily acquires facial expressions, angles, and lighting conditions. The hardware used is a high-resolution camera, and the software is an image analysis library. This makes it possible to determine the user's realistic facial expressions and emotions.
[0879] 3. AI counseling methods
[0880] The server has an AI counseling means that generates optimal settings for a commemorative photo based on data from the counseling means and the image analysis means. The AI counseling means uses a generative AI model to propose settings such as the most suitable background, clothing, lighting conditions, etc. based on the user's attributes and emotional data.
[0881] 4. Image Generation Method
[0882] The server has an image generation means that generates multiple variations of commemorative photos based on the settings generated by the AI counseling means. This allows photos to be created in real time to be provided to users. The software used is an image generation library.
[0883] 5. Means of notification
[0884] The server generates a download URL for the generated commemorative photo and notifies the user in real time. Users can instantly view, download, and share the generated photo via smartphone or tablet. Notifications are sent via push notification or email.
[0885] Specific examples
[0886] For example, consider a case where a user enters a store's photo booth to celebrate a birthday. Using a tablet device, the user enters information such as "Occasion: Birthday," "Attire: Casual," and "Background: Campsite." The camera inside the photo booth then takes a photo in real time, and the image is uploaded to a cloud server. The server uses a generative AI model to analyze the facial expression in the captured image and selects the optimal background and effects. Finally, the AI generates multiple variations of the commemorative photo on the cloud, and notifies the user of the download URL. The user can check the photo on the preview screen and download it if they are satisfied.
[0887] Example prompts for generative AI models
[0888] Prompt to input to the generative AI model:
[0889] Theme: Birthday
[0890] Dress Code: Casual
[0891] Background: Campsite
[0892] User emotion analysis: happy, smiling
[0893] Generate a customized birthday photo by blending the user's face into a background using the settings below.
[0894] This allows users to easily and quickly obtain high-quality commemorative photos taken in stores, which is expected to improve user satisfaction and increase the value of store services.
[0895] The flow of the specific processing in the application example 2 will be described with reference to FIG.
[0896] Step 1:
[0897] Users log in to the app using a smartphone, tablet, or photo booth device. After logging in, users access a counseling screen where they enter information about the purpose, clothing, and background. The data entered by the user (purpose, clothing, background) is sent from the device to the server. Input data: purpose, clothing, background. Output data: counseling data.
[0898] Step 2:
[0899] Based on the received counseling data, the server prepares to accept real-time images taken by the user on the cloud. The user uses the camera in the photo booth to take photos in real time. The images taken by the user are uploaded from the terminal to the cloud server. Input data: Images taken by the user. Output data: Images uploaded to the cloud.
[0900] Step 3:
[0901] The server receives the images uploaded to the cloud and analyzes them using AI through image analysis means. The image analysis means analyzes conditions such as facial expression, angle, and brightness, and obtains that data. Input data: User's image. Output data: Facial expression, angle, and brightness conditions.
[0902] Step 4:
[0903] The server uses a generative AI model based on the analyzed data and counseling data to generate optimal commemorative photo settings. The AI counseling means receives the analyzed data and counseling data as input and sets the most suitable background, clothing, lighting conditions, etc. Input data: facial expression, angle, lighting conditions, counseling data. Output data: optimal commemorative photo settings.
[0904] Step 5:
[0905] The server uses the generated settings to generate multiple variations of commemorative photos using an image generation means. The image generation means integrates data such as background, clothing, and the user's face to generate multiple customized commemorative photos. Input data: Optimal commemorative photo settings. Output data: Multiple variations of commemorative photos.
[0906] Step 6:
[0907] The server saves the generated commemorative photos on the cloud and generates a download URL that the user can access. The server then sends a notification to the device, allowing the user to preview and download the generated commemorative photos. Input data: multiple variations of commemorative photos. Output data: download URL, notification message.
[0908] Step 7:
[0909] The user checks the received notification and checks the generated photo on the provided preview screen. If satisfied, the user downloads the photo and saves it to their local device. Input data: The photo on the preview screen. Output data: The downloaded photo.
[0910] 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.
[0911] 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.
[0912] 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.
[0913] [Third embodiment]
[0914] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.
[0915] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.
[0916] 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).
[0917] 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.
[0918] 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.
[0919] 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).
[0920] 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.
[0921] 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.
[0922] 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.
[0923] 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.
[0924] 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.
[0925] 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."
[0926] This invention provides a system that allows users to easily create high-quality commemorative photographs. Below, we will create a program for this system and explain the specific processing of the program.
[0927] User Registration and Login
[0928] 1. Install and launch the app
[0929] Users install the app on their smartphone and create or log in to an account.
[0930] The server receives the user information, stores it in a database, and issues an authentication token, which is returned to the user.
[0931] 2. Enter your counseling information
[0932] Users enter information about their purpose, clothing, and background through the app.
[0933] The terminal transmits the input information to the server.
[0934] 3. Image upload and analysis
[0935] Users upload images of their favorite expressions.
[0936] The terminal transmits the image to the server.
[0937] The server inputs the image into an AI model, which analyzes facial expressions, angles, and lighting conditions.
[0938] 4. AI Counseling
[0939] The server sends the counseling information and image analysis data to the AI counseling module.
[0940] The AI counseling module generates the optimal commemorative photo settings (background, clothing, lighting conditions) and returns them to the server.
[0941] 5. Image Generation
[0942] Based on the results of the AI counseling method, the server calls up an image generation AI to generate a realistic commemorative photo.
[0943] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[0944] 6. Providing and storing results
[0945] The server stores the generated commemorative photos in a database and makes them available for users to download.
[0946] The device will notify the user and provide a preview of the generated photo and the option to download it.
[0947] Specific examples
[0948] For example, consider a case where a user wants to create a birthday photo. The specific process is as follows:
[0949] 1. User Registration and Login
[0950] User A downloads and installs the app.
[0951] User A creates an account and logs in.
[0952] The server verifies User A's information and issues an authentication token.
[0953] 2. Enter your counseling information
[0954] User A taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite).
[0955] The terminal transmits the input information to the server.
[0956] 3. Image upload and analysis
[0957] User A takes a selfie with their favorite expression and uploads it within the app.
[0958] The terminal transmits the image to the server.
[0959] The server inputs the images into an AI model and analyzes facial expressions and environmental conditions.
[0960] 4. AI Counseling
[0961] The server sends the counseling information and analysis data to the AI counseling module.
[0962] The AI counseling module generates a campsite background and casual clothing setting and returns it to the server.
[0963] 5. Image Generation
[0964] Based on the results of the AI counseling method, the server uses image generation AI to generate multiple variations of photos.
[0965] The generative AI superimposes User A's face onto a campsite background and applies casual clothing.
[0966] 6. Providing and storing results
[0967] The server saves the generated photos and generates a download URL.
[0968] The device sends a notification of the generated photo to User A and displays a preview screen.
[0969] User A checks the photo and downloads it.
[0970] This system allows users to easily obtain high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes.
[0971] The processing flow will be explained below.
[0972] Step 1:
[0973] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[0974] Step 2:
[0975] The device sends the email address and password entered by the user to the server.
[0976] Step 3:
[0977] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[0978] Step 4:
[0979] The user enters their email address and password on the login screen and taps the "Login" button.
[0980] Step 5:
[0981] The terminal sends the input information and the authentication token to the server and requests authentication.
[0982] Step 6:
[0983] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[0984] Step 7:
[0985] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[0986] Step 8:
[0987] The terminal transmits the input counseling information to the server.
[0988] Step 9:
[0989] Users can select an image of their favorite expression and upload the image from within the app.
[0990] Step 10:
[0991] The terminal transmits the image to the server.
[0992] Step 11:
[0993] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[0994] Step 12:
[0995] The server sends the analysis data obtained from the image analysis module and the counseling information to the AI counseling module.
[0996] Step 13:
[0997] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and image analysis results, and sends the results back to the server.
[0998] Step 14:
[0999] The server sends the results of the AI counseling to an image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of a commemorative photo.
[1000] Step 15:
[1001] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[1002] Step 16:
[1003] The device will send a notification to the user about the generated photos and display a preview screen, where the user can view the photos and download the ones they like.
[1004] Step 17:
[1005] The user can download and save the generated photo.
[1006] Example 1
[1007] 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."
[1008] Conventional commemorative photo generation systems have made it difficult to easily create high-quality photos that match the user's desired purpose, background, and clothing. Furthermore, the analysis accuracy of images uploaded by users is low, which has led to problems with the quality of the generated photos and user satisfaction. Furthermore, managing and providing the generated photos is cumbersome, making it difficult for users to easily download them.
[1009] 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.
[1010] In this invention, the server includes counseling means for inputting information about the user's desired purpose, clothing, and background, image analysis means for analyzing images uploaded by the user using artificial intelligence to obtain facial expressions, angle, and lighting conditions, artificial intelligence counseling means for generating optimal commemorative photo settings based on data from the counseling means and image analysis means, image generation means for generating realistic commemorative photos based on the generated settings, means for saving the generated commemorative photos in a database and providing them to the user so that they can be downloaded, and means for notifying the user of the generated commemorative photos and displaying a preview screen. This enables users to easily generate and download high-quality commemorative photos.
[1011] The "counseling tool" is a tool for users to input information about their desired purpose, clothing, and background.
[1012] The "image analysis means" is a means for analyzing images uploaded by users using artificial intelligence to obtain facial expressions, angles, and lighting conditions.
[1013] The "artificial intelligence counseling means" is a means for generating optimal settings for a commemorative photo based on data from the counseling means and the image analysis means.
[1014] The "image generation means" is a means for generating a realistic commemorative photograph based on the generated settings.
[1015] The "means for saving in a database" is a means for saving and managing the generated commemorative photographs.
[1016] The "means for providing" refers to a means for providing the generated commemorative photograph so that the user can download it.
[1017] The "notification means" is a means for notifying the user of the generated commemorative photo and displaying a preview screen.
[1018] The present invention provides a system that allows users to easily create high-quality commemorative photographs. A specific embodiment of this system will be described below.
[1019] System Overview
[1020] The system mainly comprises a counseling means for allowing the user to input information about the desired purpose, clothing, and background, an image analysis means for analyzing images uploaded by the user using artificial intelligence, an artificial intelligence counseling means for generating optimal commemorative photo settings based on data from the counseling means and the image analysis means, an image generation means for generating realistic commemorative photos based on the generated settings, a means for saving the generated commemorative photos in a database and providing them to the user so that they can be downloaded, and a means for notifying the user of the generated commemorative photo and displaying a preview screen.
[1021] Hardware and software used
[1022] Server: Data storage (e.g., Amazon RDS), AI modules (e.g., GPT-4, CLIP model), and image generation AI (e.g., Stable Diffusion).
[1023] Device: Use a smartphone or tablet to install and use the application.
[1024] User: A general user of the system.
[1025] Processing flow
[1026] 1. Install and launch the app
[1027] The user installs the app on their smartphone and launches it.
[1028] 2. User Registration and Login
[1029] The user creates an account or logs in.
[1030] The server receives the user information, stores it in a database, and issues an authentication token, which is returned to the user.
[1031] 3. Enter your counseling information
[1032] Through the app, users enter information about the occasion (e.g., birthday), outfit (e.g., casual), and setting (e.g., campsite).
[1033] The terminal transmits the input information to the server.
[1034] 4. Image Upload and Analysis
[1035] Users upload images of their favorite expressions.
[1036] The terminal transmits the image to the server.
[1037] The server inputs the image into an AI model, which analyzes facial expressions, angles, and lighting conditions.
[1038] 5. AI Counseling
[1039] The server sends the counseling information and image analysis data to the AI counseling module.
[1040] The AI counseling module generates optimal commemorative photo settings (e.g., background, clothing, lighting conditions) and returns them to the server.
[1041] 6. Image Generation
[1042] Based on the results of the AI counseling method, the server uses image generation AI to generate a realistic commemorative photo.
[1043] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[1044] 7. Providing and storing results
[1045] The server stores the generated commemorative photos in a database and makes them available for users to download.
[1046] The device will notify the user of the generated photo and display a preview screen.
[1047] Specific examples
[1048] For example, if a user wants to create a birthday photo, the specific prompt is as follows:
[1049] Example prompt sentence:
[1050] "I'd like to create a birthday photo. I want the photo to be casually dressed and have a campsite as the background."
[1051] This system allows users to easily obtain high-quality commemorative photos and enjoy a photography experience customized for specific purposes, resulting in increased user satisfaction.
[1052] The flow of the identification process in the first embodiment will be described with reference to FIG.
[1053] Step 1: Install and launch the app
[1054] Users install the app on their smartphones by downloading it from the app store, and once the installation process is complete, an icon appears on the home screen.
[1055] Users can launch the installed app by tapping it. When the app is launched, first-time users will be prompted to register, and existing users will be prompted to log in.
[1056] Input: Application installation and launch request
[1057] Output: Show splash screen
[1058] Step 2: User Registration and Login
[1059] To create or log in to an account, a user enters information such as an email address and password.
[1060] The terminal transmits the input information to the server.
[1061] The server receives the user information, stores it in a database, and also generates an authentication token and returns it to the user.
[1062] Input: Registration information (email address, password, etc.)
[1063] Output: Authentication token
[1064] Specifically, the server stores user information in a database, and if authentication is successful, generates and returns a token.
[1065] Step 3: Enter your counseling information
[1066] After logging in, users enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[1067] The terminal transmits the input information to the server.
[1068] Input: Information about the purpose, clothing, and background
[1069] Output: Save counseling information
[1070] Specifically, the server stores the received counseling information in a database and records it for subsequent processing.
[1071] Step 4: Upload and analyze images
[1072] Users take a picture of their favorite expression and upload it within the app.
[1073] The terminal transmits the image file to the server.
[1074] The server receives the image and inputs it into an image analysis AI model for analysis, obtaining facial expression, angle, and lighting conditions as analysis data.
[1075] Input: Image file
[1076] Output: Analysis results of facial expression, angle, and brightness
[1077] Specifically, the server inputs the image into the image analysis model and stores the analysis results in a database.
[1078] Step 5: AI Counseling
[1079] The server sends the counseling information and image analysis data to the AI counseling module.
[1080] The AI counseling module generates optimal commemorative photo settings (e.g., background, clothing, lighting conditions) and returns them to the server.
[1081] Input: Counseling information, image analysis data
[1082] Output: Optimal photo settings
[1083] Specifically, the AI counseling module analyzes the received data, calculates the optimal settings, and sends them to the server.
[1084] Step 6: Image generation
[1085] Based on the results of the AI counseling method, the server uses image generation AI to generate a realistic commemorative photo.
[1086] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[1087] Input: Commemorative photo settings
[1088] Output: The generated commemorative photo
[1089] Specifically, the server inputs the commemorative photo settings into the image generation AI and stores the multiple variation photos generated in a database.
[1090] Step 7: Serving and saving results
[1091] The server stores the generated commemorative photo in a database and generates a downloadable URL.
[1092] The device will notify the user of the generated commemorative photo and display a preview screen.
[1093] Users will see an in-app notification that shows a preview of the generated photo.
[1094] Input: Generated commemorative photo
[1095] Output: Download URL, notification
[1096] Specifically, the server saves the photo data, generates a download link and notifies the user, who can then view and download the photo within the app.
[1097] Through these processing steps, users can enjoy the benefits of a system that allows them to easily obtain high-quality commemorative photos.
[1098] (Application example 1)
[1099] 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."
[1100] Conventional commemorative photo generation systems make it difficult for users to easily create high-quality commemorative photos and instantly share them on content distribution services. Users have to go to a dedicated studio, and the background and outfit choices are limited. Furthermore, the customization of their own facial expressions and postures is extremely limited, making the experience stressful.
[1101] 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.
[1102] In this invention, the server includes an input means for inputting information about the user's desired purpose, clothing, and background, an image analysis means for analyzing images uploaded by the user using artificial intelligence to obtain facial expressions, angles, and lighting conditions, a counseling means for generating optimal commemorative photo settings based on data from the input means and image analysis means, an image generation means for generating realistic commemorative photos based on the generated settings, and a sharing means for sharing the generated commemorative photos with a content distribution service. This enables users to easily generate high-quality commemorative photos and share them instantly.
[1103] "Input means" refers to the means by which the user inputs information about the desired purpose, clothing, and background into the system.
[1104] The "image analysis means" is a means of analyzing images uploaded by users using artificial intelligence to obtain facial expressions, angles, and lighting conditions.
[1105] The "counseling means" is a means for generating optimal settings for a commemorative photo based on data from the input means and the image analysis means.
[1106] The "image generating means" is a means for generating a realistic commemorative photograph based on the settings generated by the counseling means.
[1107] The "sharing means" is a means for sharing the generated commemorative photo with a content distribution service.
[1108] The "display means" is a means for suggesting clothing and backgrounds to the user based on data from the input means and image analysis means.
[1109] This invention provides a system that enables users to easily create high-quality commemorative photos and instantly share them on a content distribution service. This system is composed of an input unit, an image analysis unit, a counseling unit, an image creation unit, and a sharing unit.
[1110] User Registration and Login
[1111] Users install the "Virtual Photo Studio" app on their smartphone or head-mounted display (hereafter referred to as the "device") and create or log in to an account. The server receives the user information, issues an authentication token, and returns it to the user.
[1112] Enter counseling information
[1113] The user enters information about the purpose, clothing, and background within the app (input means), and the device sends the information to the server.
[1114] Image upload and analysis
[1115] Users take a selfie of their favorite facial expression within the app and upload it (image analysis method). The device sends the image to the server, which then analyzes the image using a trained artificial intelligence model (e.g., TensorFlow or PyTorch) to obtain facial expression, angle, and lighting conditions.
[1116] AI Counseling
[1117] The server uses the counseling method based on the user's counseling information and image analysis data to generate the optimal commemorative photo settings (i.e., background, clothing, and lighting conditions). The generated settings are implemented by the AI counseling module.
[1118] Image generation
[1119] Next, the server uses an image generation method (e.g., a Generative Adversarial Network (GAN)) based on the results of the AI counseling method to generate a realistic commemorative photo. It synthesizes the background, clothing, and the user's facial expression to create multiple variations of the commemorative photo.
[1120] Providing and sharing results
[1121] The generated commemorative photos are stored in cloud storage (e.g., AWS S3). The server sends a notification to the user, who can then preview the photos and share them on social media or other content distribution services (sharing methods).
[1122] Specific examples
[1123] Here is a concrete example: Use the following prompt sentence to input to the AI counseling module.
[1124] text
[1125] Use: "Birthday"
[1126] Dress code: Casual
[1127] Background: "Campsite"
[1128] Facial Expression: <Selfie image uploaded by user>
[1129] The AI counseling module generates the following configuration:
[1130] text
[1131] The user's facial expression is composited against a campsite background, wearing casual clothing and lit under daylight conditions.
[1132] In this way, users can easily create high-quality commemorative photos tailored to specific purposes and share them instantly, enriching the user experience and providing a stress-free photo-taking and sharing process.
[1133] The flow of the specific processing in the application example 1 will be described with reference to FIG.
[1134] Step 1:
[1135] The user installs the "Virtual Photo Studio" app using a smartphone or head-mounted display and creates or logs in to an account. User name, email address, and password are required as input. The server stores the received user information in a database and issues and returns an authentication token to the user. This allows the user to use the app in an authenticated state.
[1136] Step 2:
[1137] The user enters information about the purpose, clothing, and background within the app. Examples of information entered include "birthday," "casual," and "campsite." The device sends the information entered by the user to the server, which then stores this counseling information in a database.
[1138] Step 3:
[1139] Users take a selfie with their favorite facial expression and upload it within the app. The input includes the user's image file. The device sends the uploaded image to a server, which analyzes the image using a trained artificial intelligence model (e.g., TensorFlow or PyTorch). The analysis results include facial expression, angle, and lighting conditions. This data is stored as face analysis data.
[1140] Step 4:
[1141] The server uses the counseling means based on the counseling information and face analysis data to generate the optimal commemorative photo settings. The counseling means includes an AI counseling module that sets the background, clothing, lighting conditions, etc. The following input is sent to the AI counseling module as a prompt:
[1142] text
[1143] Use: "Birthday"
[1144] Dress code: Casual
[1145] Background: "Campsite"
[1146] Facial Expression: <Selfie image uploaded by user>
[1147] Based on these inputs, the AI counseling module generates the following settings: "Composite the user's facial expression against the background of a campsite, apply casual clothing, and light under daytime lighting conditions." and returns this to the server.
[1148] Step 5:
[1149] The server generates realistic commemorative photos using an image generation method based on the output from the AI counseling module. The technology used includes a Generative Adversarial Network (GAN). The input includes facial analysis data and counseling settings. The output generates multiple variations of realistic commemorative photos. The generated images are stored in cloud storage (e.g., AWS S3).
[1150] Step 6:
[1151] The server notifies the user of the generated commemorative photo and provides a download link. The device displays the notification to the user and provides a preview screen of the generated photo. The user can then view the photo and share it on social media or other content distribution services. This operation is performed using a sharing method.
[1152] 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.
[1153] This invention is a system that recognizes the user's emotions and creates the most suitable commemorative photo. Below, we will create a program for this system and explain the specific processing of the program.
[1154] User Registration and Login
[1155] 1. Install and launch the app
[1156] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[1157] The device sends the email address and password entered by the user to the server.
[1158] 2. Storing Credentials
[1159] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[1160] 3. Log in
[1161] The user enters their email address and password on the login screen and taps the "Login" button.
[1162] The terminal sends the input information and the authentication token to the server and requests authentication.
[1163] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[1164] Enter counseling information
[1165] 4. Providing counseling tools
[1166] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[1167] The terminal transmits the input counseling information to the server.
[1168] Image upload and analysis
[1169] 5. Upload an image
[1170] Users can select an image of their favorite expression and upload the image from within the app.
[1171] The terminal transmits the image to the server.
[1172] 6. Image Analysis and Emotion Recognition
[1173] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[1174] The server sends the analyzed data to the emotion engine, which recognizes the emotion based on the user's facial expression data and sends the data back to the server.
[1175] AI counseling and photo generation
[1176] 7. AI Counseling
[1177] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module.
[1178] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and emotional data, and sends the results back to the server.
[1179] 8. Image Generation
[1180] The server sends the results of the AI counseling method to the image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of the commemorative photo.
[1181] Providing and storing results
[1182] 9. Saving and notifying results
[1183] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[1184] The device will send a notification of the generated photo to the user and display a preview screen where the user can view and download the photo.
[1185] Specific examples
[1186] For example, consider a case where a user wants to create a birthday photo. The specific process is as follows:
[1187] 1. User Registration
[1188] User A downloads and installs the app. User A creates an account and logs in. The server verifies the user information and issues an authentication token.
[1189] 2. Enter your counseling information
[1190] User A taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite). The device sends the entered information to the server.
[1191] 3. Upload an image
[1192] User A takes a selfie with their favorite expression and uploads it within the app. The device then sends the image to the server.
[1193] 4. Image Analysis and Emotion Recognition
[1194] The server receives the image, inputs it into the AI model, and analyzes facial expressions and environmental conditions. Furthermore, the emotion engine analyzes User A's emotions and obtains emotion data.
[1195] 5. AI Counseling
[1196] The server sends the counseling information, image analysis data, and emotion recognition data to the AI counseling module, which then generates a campsite background and casual clothing setting and sends it back to the server.
[1197] 6. Image Generation
[1198] Based on the results of the AI counseling procedure, the server uses image generation AI to generate multiple variations of photos. The generation AI composites User A's face against the background of a campsite and applies casual clothing.
[1199] 7. Providing and storing results
[1200] The server saves the generated photo and generates a download URL. The device notifies User A of the generated photo and displays a preview screen. User A checks the photo and downloads it.
[1201] This allows users to easily take high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes and emotions.
[1202] The processing flow will be explained below.
[1203] Step 1:
[1204] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[1205] Step 2:
[1206] The device sends the email address and password entered by the user to the server.
[1207] Step 3:
[1208] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[1209] Step 4:
[1210] The user enters their email address and password on the login screen and taps the "Login" button.
[1211] Step 5:
[1212] The terminal sends the input information and the authentication token to the server and requests authentication.
[1213] Step 6:
[1214] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[1215] Step 7:
[1216] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[1217] Step 8:
[1218] The terminal transmits the input counseling information to the server.
[1219] Step 9:
[1220] Users can select an image of their favorite expression and upload the image from within the app.
[1221] Step 10:
[1222] The terminal transmits the image to the server.
[1223] Step 11:
[1224] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[1225] Step 12:
[1226] The server sends the analyzed data to the emotion engine, which recognizes the emotion based on the user's facial expression data and sends the data back to the server.
[1227] Step 13:
[1228] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module.
[1229] Step 14:
[1230] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and emotional data, and sends the results back to the server.
[1231] Step 15:
[1232] The server sends the results of the AI counseling method to the image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of the commemorative photo.
[1233] Step 16:
[1234] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[1235] Step 17:
[1236] The device will send a notification of the generated photo to the user and display a preview screen where the user can view and download the photo.
[1237] Step 18:
[1238] The user can download and save the generated photo.
[1239] Example 2
[1240] 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."
[1241] Conventional commemorative photo generation systems have the problem that it is difficult to generate optimal commemorative photos that take into account the user's emotions, in addition to providing information about the user's desired purpose, background, and clothing. Furthermore, there was a lack of a means to efficiently analyze images uploaded by users, recognize their emotions, and provide appropriate commemorative photos, making it difficult to obtain results that satisfied users.
[1242] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.
[1243] In this invention, the server includes counseling means for inputting information about the user's desired purpose, clothing, and background, terminal means for transmitting the information input by the user to the server, authentication information storage means for saving the input information and uploaded image data in a database, image analysis means for analyzing the image uploaded by the user and acquiring facial expressions, angle, and lighting conditions, emotion recognition means for recognizing the user's emotions based on the results of the image analysis, AI counseling means for generating optimal commemorative photo settings based on data from the counseling means, image analysis means, and emotion recognition means, image generation means for generating realistic commemorative photos based on the generated settings, and result storage means for saving the generated commemorative photos in a database and notifying the user. This makes it possible to efficiently generate optimal commemorative photos that take the user's emotions into consideration, and obtain results that satisfy the user.
[1244] "Counseling tool" refers to an interface that allows users to input information about their desired purpose, clothing, and background.
[1245] "Terminal means" refers to devices and software for transmitting information entered by the user to the server.
[1246] "Authentication information storage means" refers to a means having the function of safely storing input information and uploaded image data in a database.
[1247] "Image analysis means" refers to technology that analyzes images uploaded by users and obtains information such as facial expressions, angles, and lighting conditions.
[1248] "Emotion recognition means" refers to a means for recognizing a user's emotions based on the results of image analysis and acquiring that data.
[1249] "AI counseling means" refers to artificial intelligence technology that generates optimal settings for commemorative photos based on data from counseling means, image analysis means, and emotion recognition means.
[1250] "Image generation means" refers to the technology and software used to generate realistic commemorative photographs based on the generated settings.
[1251] "Result storage means" refers to a means having the function of storing the generated commemorative photo in a database and notifying the user.
[1252] This invention is a system for generating an optimal commemorative photo that takes into consideration the user's desired purpose, background, clothing, and emotions. Specifically, it is implemented as follows.
[1253] First, the user installs a dedicated application on a device such as a smartphone or PC and launches the application. The user enters an email address and password on the account registration screen and taps the "Register" button. This information is sent from the device to the server, which receives it, stores the authentication information in a database, and creates a new user account. At this time, the server generates an authentication token and sends it back to the device.
[1254] Next, the user enters the email address and password they entered earlier on the login screen and taps the "Login" button. The device sends the entered information and authentication token to the server. The server authenticates this, and if successful, the user is directed to the main screen.
[1255] Users tap the "Start Counseling" button on the main screen and enter information about the purpose of the photo (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite). This data is sent from the device to the server.
[1256] Next, users select a photo with their favorite facial expression and upload it to the app. The image data is sent from the device to a server, where it is analyzed using an image analysis module that analyzes facial expressions, angles, lighting conditions, and other factors. The image analysis module uses software such as OpenCV and TensorFlow.
[1257] Once the analysis is complete, the server sends the data to an emotion recognition engine, which uses software such as Emotion API, to recognize the user's emotions. The emotion recognition engine then sends the results back to the server.
[1258] The server sends counseling information, image analysis data, and emotion recognition data to an AI counseling module, which uses a tool such as GPT-3 to generate optimal settings for a commemorative photo (background, clothing, lighting conditions, etc.) and returns the results to the server.
[1259] Based on the results of the AI counseling module, the server generates realistic commemorative photos using image generation AI (e.g., GANs: Generative Adversarial Networks). Multiple variations of the commemorative photos are saved and a download URL is provided that users can access.
[1260] The server saves the generated commemorative photo in a database and notifies the user's device, which then sends a notification to the user and displays a preview screen. The user can then check the photo and download it if necessary.
[1261] Specific examples
[1262] For example, a specific process for a user to create a birthday commemorative photo will be described.
[1263] 1. User Registration
[1264] A user downloads and installs an app. The user creates an account and logs in. The server verifies the user information and issues an authentication token.
[1265] 2. Enter your counseling information
[1266] The user taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite). The device sends the entered information to the server.
[1267] 3. Upload an image
[1268] Users take a selfie with their favorite expression and upload it within the app, and the device sends the image to the server.
[1269] 4. Image Analysis and Emotion Recognition
[1270] The server receives the image, inputs it into an AI model to analyze facial expressions and environmental conditions, and then analyzes the user's emotions using an emotion engine to obtain emotional data.
[1271] 5. AI Counseling
[1272] The server sends the counseling information, image analysis data, and emotion recognition data to the AI counseling module, which then generates a campsite background and casual clothing setting and sends it back to the server.
[1273] 6. Image Generation
[1274] Based on the results of the AI counseling procedure, the server uses image generation AI to generate multiple variations of photos, which then combine the user's face with the background of a campsite and apply casual clothing.
[1275] 7. Providing and storing results
[1276] The server saves the generated photo and generates a download URL. The device notifies the user of the generated photo and displays a preview screen. The user can then view and download the photo.
[1277] This allows users to easily capture high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes and emotions.
[1278] Prompt Sentence Examples
[1279] Below are some example prompts to input to a generative AI model:
[1280] Please explain the specific process of the system that recognizes the user's emotions and generates the optimal commemorative photo. A user follows the steps to create a birthday commemorative photo: they install the app, register an account, enter their personal information (purpose, clothing, background), and upload an image including their facial expression. Please provide a detailed description of the process by which the server analyzes the image and recognizes emotions, and the AI generates the optimal photo. Please also include specific operations.
[1281]
[1282] The flow of the identification process in the second embodiment will be described with reference to FIG.
[1283] Step 1:
[1284] Installing and launching the app
[1285] A user installs an app on their smartphone and launches it. Input: App installation request. Output: App installation completed and launch. Specifically, the user downloads the application from the app store and installs it on their device. They then launch the app and the account registration screen appears.
[1286] Step 2:
[1287] Account Registration
[1288] The user enters their email address and password and taps the "Register" button. Input: Email address and password. Output: Registration completion message and authentication token. The device sends the entered information to the server. The server receives the information, stores it in a database, and creates a new user account. The server then generates an authentication token and sends it back to the device.
[1289] Step 3:
[1290] Log in
[1291] The user enters their email address and password on the login screen and taps the "Login" button. Input: email address, password, authentication token. Output: login success message and permission to access the main screen. The device sends the email address, password, and authentication token to the server and requests authentication. The server verifies the user information, and if authentication is successful, allows login and provides access to the main screen.
[1292] Step 4:
[1293] Enter counseling information
[1294] The user taps the "Start Counseling" button on the main screen and enters information about the purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite). Input: Purpose, clothing, and background information. Output: Notification that the counseling information has been sent. The device sends the entered information to the server.
[1295] Step 5:
[1296] Uploading an image
[1297] The user selects an image of their favorite facial expression and uploads it within the app. Input: Image file. Output: Notification that the image has been uploaded. The device sends the image data to the server. The server receives the sent image data.
[1298] Step 6:
[1299] Image analysis and emotion recognition
[1300] The server uses an image analysis module to analyze the uploaded image. Input: Image data. Output: Image analysis results (facial expression, angle, lighting conditions, etc.). Specifically, the server uses an image analysis module (e.g., OpenCV or TensorFlow) to extract facial landmarks and analyze facial expressions. It then sends the analysis results to an emotion recognition engine, which recognizes emotions. The emotion recognition engine then sends the recognition results back to the server. Input: Image analysis results. Output: Emotion recognition data.
[1301] Step 7:
[1302] AI Counseling
[1303] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module. Input: counseling information, image analysis data, emotion recognition data. Output: optimal commemorative photo settings (background, clothing, lighting conditions, etc.). Specifically, the AI counseling module generates optimal commemorative photo settings based on this data and sends the results back to the server.
[1304] Step 8:
[1305] Image generation
[1306] The server sends the results of the AI counseling module to the image generation AI, which generates a realistic commemorative photo. Input: Optimal commemorative photo settings. Output: Generated commemorative photo. Specifically, the image generation AI (e.g., GANs) integrates the user's facial expression, background, and clothing to generate a realistic commemorative photo.
[1307] Step 9:
[1308] Save and notify results
[1309] The server saves the generated commemorative photo in a database and generates a download URL that the user can access. Input: Generated commemorative photo. Output: Download URL. The server notifies the device of the download URL, and the device sends a notification to the user. The user can check the generated photo on the preview screen and download it.
[1310] (Application example 2)
[1311] 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."
[1312] Conventional photo-taking systems have the problem that users spend a lot of time taking photos and require a lot of effort to obtain photos that satisfy them. In particular, in stores, if customers are not satisfied with the photos they take in real time, it affects the impression and satisfaction of the store. Furthermore, there is an issue that the system cannot generate photos that reflect the user's emotions, making it difficult to respond to individual needs.
[1313] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a counseling means for inputting information about the user's desired purpose, clothing, and background; an image analysis means for uploading real-time images taken by the user to a cloud server and analyzing the images using AI to acquire facial expressions, angle, and lighting conditions; an AI counseling means for generating optimal commemorative photo settings based on data from the counseling means and image analysis means; an image generation means for generating multiple variations of commemorative photos based on the generated settings and providing them to the user; and a notification means for generating download URLs for the generated commemorative photos and making them accessible to the user in real time. This allows users to instantly analyze and generate photos taken in the store and obtain high-quality commemorative photos in real time, significantly reducing the effort and time required for photography.
[1314] The "counseling method" is a method for users to input information about their desired purpose, clothing, and background.
[1315] The "image analysis means" is a means of uploading real-time images taken by the user to a cloud server and analyzing the images using AI to obtain facial expressions, angles, and lighting conditions.
[1316] The "AI counseling means" is a means for generating optimal settings for commemorative photos based on data from the counseling means and image analysis means.
[1317] The "image generation means" is a means for generating a variety of commemorative photographs based on the generated settings and providing them to the user.
[1318] The "notification means" is a means for generating a download URL for the generated commemorative photo and making it accessible to the user in real time.
[1319] The present invention is a system that generates and instantly provides the best commemorative photos based on images taken by users in real time within a store. This system includes the following main components:
[1320] 1. Counseling methods
[1321] The server provides a consultation tool for users to input information about their desired occasion, outfit, and background. Users input this information using a smartphone, tablet, or a photo booth device installed in a store. For example, if a user wants to take photos to commemorate their birthday, they input information such as "Occasion = Birthday," "Outfit = Casual," and "Background = Campsite."
[1322] 2. Image analysis methods
[1323] The server uploads images taken by users to a cloud server in real time, and the images are analyzed using AI. The system primarily acquires facial expressions, angles, and lighting conditions. The hardware used is a high-resolution camera, and the software is an image analysis library. This makes it possible to determine the user's realistic facial expressions and emotions.
[1324] 3. AI counseling methods
[1325] The server has an AI counseling means that generates optimal settings for a commemorative photo based on data from the counseling means and the image analysis means. The AI counseling means uses a generative AI model to propose settings such as the most suitable background, clothing, lighting conditions, etc. based on the user's attributes and emotional data.
[1326] 4. Image Generation Method
[1327] The server has an image generation means that generates multiple variations of commemorative photos based on the settings generated by the AI counseling means. This allows photos to be created in real time to be provided to users. The software used is an image generation library.
[1328] 5. Means of notification
[1329] The server generates a download URL for the generated commemorative photo and notifies the user in real time. Users can instantly view, download, and share the generated photo via smartphone or tablet. Notifications are sent via push notification or email.
[1330] Specific examples
[1331] For example, consider a case where a user enters a store's photo booth to celebrate a birthday. Using a tablet device, the user enters information such as "Occasion: Birthday," "Attire: Casual," and "Background: Campsite." The camera inside the photo booth then takes a photo in real time, and the image is uploaded to a cloud server. The server uses a generative AI model to analyze the facial expression in the captured image and selects the optimal background and effects. Finally, the AI generates multiple variations of the commemorative photo on the cloud, and notifies the user of the download URL. The user can check the photo on the preview screen and download it if they are satisfied.
[1332] Example prompts for generative AI models
[1333] Prompt to input to the generative AI model:
[1334] Theme: Birthday
[1335] Dress Code: Casual
[1336] Background: Campsite
[1337] User emotion analysis: happy, smiling
[1338] Generate a customized birthday photo by blending the user's face into a background using the settings below.
[1339] This allows users to easily and quickly obtain high-quality commemorative photos taken in stores, which is expected to improve user satisfaction and increase the value of store services.
[1340] The flow of the specific processing in the application example 2 will be described with reference to FIG.
[1341] Step 1:
[1342] Users log in to the app using a smartphone, tablet, or photo booth device. After logging in, users access a counseling screen where they enter information about the purpose, clothing, and background. The data entered by the user (purpose, clothing, background) is sent from the device to the server. Input data: purpose, clothing, background. Output data: counseling data.
[1343] Step 2:
[1344] Based on the received counseling data, the server prepares to accept real-time images taken by the user on the cloud. The user uses the camera in the photo booth to take photos in real time. The images taken by the user are uploaded from the terminal to the cloud server. Input data: Images taken by the user. Output data: Images uploaded to the cloud.
[1345] Step 3:
[1346] The server receives the images uploaded to the cloud and analyzes them using AI through image analysis means. The image analysis means analyzes conditions such as facial expression, angle, and brightness, and obtains that data. Input data: User's image. Output data: Facial expression, angle, and brightness conditions.
[1347] Step 4:
[1348] The server uses a generative AI model based on the analyzed data and counseling data to generate optimal commemorative photo settings. The AI counseling means receives the analyzed data and counseling data as input and sets the most suitable background, clothing, lighting conditions, etc. Input data: facial expression, angle, lighting conditions, counseling data. Output data: optimal commemorative photo settings.
[1349] Step 5:
[1350] The server uses the generated settings to generate multiple variations of commemorative photos using an image generation means. The image generation means integrates data such as background, clothing, and the user's face to generate multiple customized commemorative photos. Input data: Optimal commemorative photo settings. Output data: Multiple variations of commemorative photos.
[1351] Step 6:
[1352] The server saves the generated commemorative photos on the cloud and generates a download URL that the user can access. The server then sends a notification to the device, allowing the user to preview and download the generated commemorative photos. Input data: multiple variations of commemorative photos. Output data: download URL, notification message.
[1353] Step 7:
[1354] The user checks the received notification and checks the generated photo on the provided preview screen. If satisfied, the user downloads the photo and saves it to their local device. Input data: The photo on the preview screen. Output data: The downloaded photo.
[1355] 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.
[1356] 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.
[1357] 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.
[1358] [Fourth embodiment]
[1359] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.
[1360] 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.
[1361] 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).
[1362] 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.
[1363] 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.
[1364] 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).
[1365] 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.
[1366] 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.
[1367] 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.
[1368] 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.
[1369] 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.
[1370] 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.
[1371] 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."
[1372] This invention provides a system that allows users to easily create high-quality commemorative photographs. Below, we will create a program for this system and explain the specific processing of the program.
[1373] User Registration and Login
[1374] 1. Install and launch the app
[1375] Users install the app on their smartphone and create or log in to an account.
[1376] The server receives the user information, stores it in a database, and issues an authentication token, which is returned to the user.
[1377] 2. Enter your counseling information
[1378] Users enter information about their purpose, clothing, and background through the app.
[1379] The terminal transmits the input information to the server.
[1380] 3. Image upload and analysis
[1381] Users upload images of their favorite expressions.
[1382] The terminal transmits the image to the server.
[1383] The server inputs the image into an AI model, which analyzes facial expressions, angles, and lighting conditions.
[1384] 4. AI Counseling
[1385] The server sends the counseling information and image analysis data to the AI counseling module.
[1386] The AI counseling module generates the optimal commemorative photo settings (background, clothing, lighting conditions) and returns them to the server.
[1387] 5. Image Generation
[1388] Based on the results of the AI counseling method, the server calls up an image generation AI to generate a realistic commemorative photo.
[1389] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[1390] 6. Providing and storing results
[1391] The server stores the generated commemorative photos in a database and makes them available for users to download.
[1392] The device will notify the user and provide a preview of the generated photo and the option to download it.
[1393] Specific examples
[1394] For example, consider a case where a user wants to create a birthday photo. The specific process is as follows:
[1395] 1. User Registration and Login
[1396] User A downloads and installs the app.
[1397] User A creates an account and logs in.
[1398] The server verifies User A's information and issues an authentication token.
[1399] 2. Enter your counseling information
[1400] User A taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite).
[1401] The terminal transmits the input information to the server.
[1402] 3. Image upload and analysis
[1403] User A takes a selfie with their favorite expression and uploads it within the app.
[1404] The terminal transmits the image to the server.
[1405] The server inputs the images into an AI model and analyzes facial expressions and environmental conditions.
[1406] 4. AI Counseling
[1407] The server sends the counseling information and analysis data to the AI counseling module.
[1408] The AI counseling module generates a campsite background and casual clothing setting and returns it to the server.
[1409] 5. Image Generation
[1410] Based on the results of the AI counseling method, the server uses image generation AI to generate multiple variations of photos.
[1411] The generative AI superimposes User A's face onto a campsite background and applies casual clothing.
[1412] 6. Providing and storing results
[1413] The server saves the generated photos and generates a download URL.
[1414] The device sends a notification of the generated photo to User A and displays a preview screen.
[1415] User A checks the photo and downloads it.
[1416] This system allows users to easily obtain high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes.
[1417] The processing flow will be explained below.
[1418] Step 1:
[1419] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[1420] Step 2:
[1421] The device sends the email address and password entered by the user to the server.
[1422] Step 3:
[1423] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[1424] Step 4:
[1425] The user enters their email address and password on the login screen and taps the "Login" button.
[1426] Step 5:
[1427] The terminal sends the input information and the authentication token to the server and requests authentication.
[1428] Step 6:
[1429] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[1430] Step 7:
[1431] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[1432] Step 8:
[1433] The terminal transmits the input counseling information to the server.
[1434] Step 9:
[1435] Users can select an image of their favorite expression and upload the image from within the app.
[1436] Step 10:
[1437] The terminal transmits the image to the server.
[1438] Step 11:
[1439] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[1440] Step 12:
[1441] The server sends the analysis data obtained from the image analysis module and the counseling information to the AI counseling module.
[1442] Step 13:
[1443] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and image analysis results, and sends the results back to the server.
[1444] Step 14:
[1445] The server sends the results of the AI counseling to an image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of a commemorative photo.
[1446] Step 15:
[1447] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[1448] Step 16:
[1449] The device will send a notification to the user about the generated photos and display a preview screen, where the user can view the photos and download the ones they like.
[1450] Step 17:
[1451] The user can download and save the generated photo.
[1452] Example 1
[1453] 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."
[1454] Conventional commemorative photo generation systems have made it difficult to easily create high-quality photos that match the user's desired purpose, background, and clothing. Furthermore, the analysis accuracy of images uploaded by users is low, which has led to problems with the quality of the generated photos and user satisfaction. Furthermore, managing and providing the generated photos is cumbersome, making it difficult for users to easily download them.
[1455] 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.
[1456] In this invention, the server includes counseling means for inputting information about the user's desired purpose, clothing, and background, image analysis means for analyzing images uploaded by the user using artificial intelligence to obtain facial expressions, angle, and lighting conditions, artificial intelligence counseling means for generating optimal commemorative photo settings based on data from the counseling means and image analysis means, image generation means for generating realistic commemorative photos based on the generated settings, means for saving the generated commemorative photos in a database and providing them to the user so that they can be downloaded, and means for notifying the user of the generated commemorative photos and displaying a preview screen. This enables users to easily generate and download high-quality commemorative photos.
[1457] The "counseling tool" is a tool for users to input information about their desired purpose, clothing, and background.
[1458] The "image analysis means" is a means for analyzing images uploaded by users using artificial intelligence to obtain facial expressions, angles, and lighting conditions.
[1459] The "artificial intelligence counseling means" is a means for generating optimal settings for a commemorative photo based on data from the counseling means and the image analysis means.
[1460] The "image generation means" is a means for generating a realistic commemorative photograph based on the generated settings.
[1461] The "means for saving in a database" is a means for saving and managing the generated commemorative photographs.
[1462] The "means for providing" refers to a means for providing the generated commemorative photograph so that the user can download it.
[1463] The "notification means" is a means for notifying the user of the generated commemorative photo and displaying a preview screen.
[1464] The present invention provides a system that allows users to easily create high-quality commemorative photographs. A specific embodiment of this system will be described below.
[1465] System Overview
[1466] The system mainly comprises a counseling means for allowing the user to input information about the desired purpose, clothing, and background, an image analysis means for analyzing images uploaded by the user using artificial intelligence, an artificial intelligence counseling means for generating optimal commemorative photo settings based on data from the counseling means and the image analysis means, an image generation means for generating realistic commemorative photos based on the generated settings, a means for saving the generated commemorative photos in a database and providing them to the user so that they can be downloaded, and a means for notifying the user of the generated commemorative photo and displaying a preview screen.
[1467] Hardware and software used
[1468] Server: Data storage (e.g., Amazon RDS), AI modules (e.g., GPT-4, CLIP model), and image generation AI (e.g., Stable Diffusion).
[1469] Device: Use a smartphone or tablet to install and use the application.
[1470] User: A general user of the system.
[1471] Processing flow
[1472] 1. Install and launch the app
[1473] The user installs the app on their smartphone and launches it.
[1474] 2. User Registration and Login
[1475] The user creates an account or logs in.
[1476] The server receives the user information, stores it in a database, and issues an authentication token, which is returned to the user.
[1477] 3. Enter your counseling information
[1478] Through the app, users enter information about the occasion (e.g., birthday), outfit (e.g., casual), and setting (e.g., campsite).
[1479] The terminal transmits the input information to the server.
[1480] 4. Image Upload and Analysis
[1481] Users upload images of their favorite expressions.
[1482] The terminal transmits the image to the server.
[1483] The server inputs the image into an AI model, which analyzes facial expressions, angles, and lighting conditions.
[1484] 5. AI Counseling
[1485] The server sends the counseling information and image analysis data to the AI counseling module.
[1486] The AI counseling module generates optimal commemorative photo settings (e.g., background, clothing, lighting conditions) and returns them to the server.
[1487] 6. Image Generation
[1488] Based on the results of the AI counseling method, the server uses image generation AI to generate a realistic commemorative photo.
[1489] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[1490] 7. Providing and storing results
[1491] The server stores the generated commemorative photos in a database and makes them available for users to download.
[1492] The device will notify the user of the generated photo and display a preview screen.
[1493] Specific examples
[1494] For example, if a user wants to create a birthday photo, the specific prompt is as follows:
[1495] Example prompt sentence:
[1496] "I'd like to create a birthday photo. I want the photo to be casually dressed and have a campsite as the background."
[1497] This system allows users to easily obtain high-quality commemorative photos and enjoy a photography experience customized for specific purposes, resulting in increased user satisfaction.
[1498] The flow of the identification process in the first embodiment will be described with reference to FIG.
[1499] Step 1: Install and launch the app
[1500] Users install the app on their smartphones by downloading it from the app store, and once the installation process is complete, an icon appears on the home screen.
[1501] Users can launch the installed app by tapping it. When the app is launched, first-time users will be prompted to register, and existing users will be prompted to log in.
[1502] Input: Application installation and launch request
[1503] Output: Show splash screen
[1504] Step 2: User Registration and Login
[1505] To create or log in to an account, a user enters information such as an email address and password.
[1506] The terminal transmits the input information to the server.
[1507] The server receives the user information, stores it in a database, and also generates an authentication token and returns it to the user.
[1508] Input: Registration information (email address, password, etc.)
[1509] Output: Authentication token
[1510] Specifically, the server stores user information in a database, and if authentication is successful, generates and returns a token.
[1511] Step 3: Enter your counseling information
[1512] After logging in, users enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[1513] The terminal transmits the input information to the server.
[1514] Input: Information about the purpose, clothing, and background
[1515] Output: Save counseling information
[1516] Specifically, the server stores the received counseling information in a database and records it for subsequent processing.
[1517] Step 4: Upload and analyze images
[1518] Users take a picture of their favorite expression and upload it within the app.
[1519] The terminal transmits the image file to the server.
[1520] The server receives the image and inputs it into an image analysis AI model for analysis, obtaining facial expression, angle, and lighting conditions as analysis data.
[1521] Input: Image file
[1522] Output: Analysis results of facial expression, angle, and brightness
[1523] Specifically, the server inputs the image into the image analysis model and stores the analysis results in a database.
[1524] Step 5: AI Counseling
[1525] The server sends the counseling information and image analysis data to the AI counseling module.
[1526] The AI counseling module generates optimal commemorative photo settings (e.g., background, clothing, lighting conditions) and returns them to the server.
[1527] Input: Counseling information, image analysis data
[1528] Output: Optimal photo settings
[1529] Specifically, the AI counseling module analyzes the received data, calculates the optimal settings, and sends them to the server.
[1530] Step 6: Image generation
[1531] Based on the results of the AI counseling method, the server uses image generation AI to generate a realistic commemorative photo.
[1532] The generative AI combines the background, clothing, and the user's facial expression to create multiple variations of commemorative photos.
[1533] Input: Commemorative photo settings
[1534] Output: The generated commemorative photo
[1535] Specifically, the server inputs the commemorative photo settings into the image generation AI and stores the multiple variation photos generated in a database.
[1536] Step 7: Serving and saving results
[1537] The server stores the generated commemorative photo in a database and generates a downloadable URL.
[1538] The device will notify the user of the generated commemorative photo and display a preview screen.
[1539] Users will see an in-app notification that shows a preview of the generated photo.
[1540] Input: Generated commemorative photo
[1541] Output: Download URL, notification
[1542] Specifically, the server saves the photo data, generates a download link and notifies the user, who can then view and download the photo within the app.
[1543] Through these processing steps, users can enjoy the benefits of a system that allows them to easily obtain high-quality commemorative photos.
[1544] (Application example 1)
[1545] 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."
[1546] Conventional commemorative photo generation systems make it difficult for users to easily create high-quality commemorative photos and instantly share them on content distribution services. Users have to go to a dedicated studio, and the background and outfit choices are limited. Furthermore, the customization of their own facial expressions and postures is extremely limited, making the experience stressful.
[1547] 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.
[1548] In this invention, the server includes an input means for inputting information about the user's desired purpose, clothing, and background, an image analysis means for analyzing images uploaded by the user using artificial intelligence to obtain facial expressions, angles, and lighting conditions, a counseling means for generating optimal commemorative photo settings based on data from the input means and image analysis means, an image generation means for generating realistic commemorative photos based on the generated settings, and a sharing means for sharing the generated commemorative photos with a content distribution service. This enables users to easily generate high-quality commemorative photos and share them instantly.
[1549] "Input means" refers to the means by which the user inputs information about the desired purpose, clothing, and background into the system.
[1550] The "image analysis means" is a means of analyzing images uploaded by users using artificial intelligence to obtain facial expressions, angles, and lighting conditions.
[1551] The "counseling means" is a means for generating optimal settings for a commemorative photo based on data from the input means and the image analysis means.
[1552] The "image generating means" is a means for generating a realistic commemorative photograph based on the settings generated by the counseling means.
[1553] The "sharing means" is a means for sharing the generated commemorative photo with a content distribution service.
[1554] The "display means" is a means for suggesting clothing and backgrounds to the user based on data from the input means and image analysis means.
[1555] This invention provides a system that enables users to easily create high-quality commemorative photos and instantly share them on a content distribution service. This system is composed of an input unit, an image analysis unit, a counseling unit, an image creation unit, and a sharing unit.
[1556] User Registration and Login
[1557] Users install the "Virtual Photo Studio" app on their smartphone or head-mounted display (hereafter referred to as the "device") and create or log in to an account. The server receives the user information, issues an authentication token, and returns it to the user.
[1558] Enter counseling information
[1559] The user enters information about the purpose, clothing, and background within the app (input means), and the device sends the information to the server.
[1560] Image upload and analysis
[1561] Users take a selfie of their favorite facial expression within the app and upload it (image analysis method). The device sends the image to the server, which then analyzes the image using a trained artificial intelligence model (e.g., TensorFlow or PyTorch) to obtain facial expression, angle, and lighting conditions.
[1562] AI Counseling
[1563] The server uses the counseling method based on the user's counseling information and image analysis data to generate the optimal commemorative photo settings (i.e., background, clothing, and lighting conditions). The generated settings are implemented by the AI counseling module.
[1564] Image generation
[1565] Next, the server uses an image generation method (e.g., a Generative Adversarial Network (GAN)) based on the results of the AI counseling method to generate a realistic commemorative photo. It synthesizes the background, clothing, and the user's facial expression to create multiple variations of the commemorative photo.
[1566] Providing and sharing results
[1567] The generated commemorative photos are stored in cloud storage (e.g., AWS S3). The server sends a notification to the user, who can then preview the photos and share them on social media or other content distribution services (sharing methods).
[1568] Specific examples
[1569] Here is a concrete example: Use the following prompt sentence to input to the AI counseling module.
[1570] text
[1571] Use: "Birthday"
[1572] Dress code: Casual
[1573] Background: "Campsite"
[1574] Facial Expression: <Selfie image uploaded by user>
[1575] The AI counseling module generates the following configuration:
[1576] text
[1577] The user's facial expression is composited against a campsite background, wearing casual clothing and lit under daylight conditions.
[1578] In this way, users can easily create high-quality commemorative photos tailored to specific purposes and share them instantly, enriching the user experience and providing a stress-free photo-taking and sharing process.
[1579] The flow of the specific processing in the application example 1 will be described with reference to FIG.
[1580] Step 1:
[1581] The user installs the "Virtual Photo Studio" app using a smartphone or head-mounted display and creates or logs in to an account. User name, email address, and password are required as input. The server stores the received user information in a database and issues and returns an authentication token to the user. This allows the user to use the app in an authenticated state.
[1582] Step 2:
[1583] The user enters information about the purpose, clothing, and background within the app. Examples of information entered include "birthday," "casual," and "campsite." The device sends the information entered by the user to the server, which then stores this counseling information in a database.
[1584] Step 3:
[1585] Users take a selfie with their favorite facial expression and upload it within the app. The input includes the user's image file. The device sends the uploaded image to a server, which analyzes the image using a trained artificial intelligence model (e.g., TensorFlow or PyTorch). The analysis results include facial expression, angle, and lighting conditions. This data is stored as face analysis data.
[1586] Step 4:
[1587] The server uses the counseling means based on the counseling information and face analysis data to generate the optimal commemorative photo settings. The counseling means includes an AI counseling module that sets the background, clothing, lighting conditions, etc. The following input is sent to the AI counseling module as a prompt:
[1588] text
[1589] Use: "Birthday"
[1590] Dress code: Casual
[1591] Background: "Campsite"
[1592] Facial Expression: <Selfie image uploaded by user>
[1593] Based on these inputs, the AI counseling module generates the following settings: "Composite the user's facial expression against the background of a campsite, apply casual clothing, and light under daytime lighting conditions." and returns this to the server.
[1594] Step 5:
[1595] The server generates realistic commemorative photos using an image generation method based on the output from the AI counseling module. The technology used includes a Generative Adversarial Network (GAN). The input includes facial analysis data and counseling settings. The output generates multiple variations of realistic commemorative photos. The generated images are stored in cloud storage (e.g., AWS S3).
[1596] Step 6:
[1597] The server notifies the user of the generated commemorative photo and provides a download link. The device displays the notification to the user and provides a preview screen of the generated photo. The user can then view the photo and share it on social media or other content distribution services. This operation is performed using a sharing method.
[1598] 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.
[1599] This invention is a system that recognizes the user's emotions and creates the most suitable commemorative photo. Below, we will create a program for this system and explain the specific processing of the program.
[1600] User Registration and Login
[1601] 1. Install and launch the app
[1602] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[1603] The device sends the email address and password entered by the user to the server.
[1604] 2. Storing Credentials
[1605] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[1606] 3. Log in
[1607] The user enters their email address and password on the login screen and taps the "Login" button.
[1608] The terminal sends the input information and the authentication token to the server and requests authentication.
[1609] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[1610] Enter counseling information
[1611] 4. Providing counseling tools
[1612] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[1613] The terminal transmits the input counseling information to the server.
[1614] Image upload and analysis
[1615] 5. Upload an image
[1616] Users can select an image of their favorite expression and upload the image from within the app.
[1617] The terminal transmits the image to the server.
[1618] 6. Image Analysis and Emotion Recognition
[1619] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[1620] The server sends the analyzed data to the emotion engine, which recognizes the emotion based on the user's facial expression data and sends the data back to the server.
[1621] AI counseling and photo generation
[1622] 7. AI Counseling
[1623] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module.
[1624] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and emotional data, and sends the results back to the server.
[1625] 8. Image Generation
[1626] The server sends the results of the AI counseling method to the image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of the commemorative photo.
[1627] Providing and storing results
[1628] 9. Saving and notifying results
[1629] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[1630] The device will send a notification of the generated photo to the user and display a preview screen where the user can view and download the photo.
[1631] Specific examples
[1632] For example, consider a case where a user wants to create a birthday photo. The specific process is as follows:
[1633] 1. User Registration
[1634] User A downloads and installs the app. User A creates an account and logs in. The server verifies the user information and issues an authentication token.
[1635] 2. Enter your counseling information
[1636] User A taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite). The device sends the entered information to the server.
[1637] 3. Upload an image
[1638] User A takes a selfie with their favorite expression and uploads it within the app. The device then sends the image to the server.
[1639] 4. Image Analysis and Emotion Recognition
[1640] The server receives the image, inputs it into the AI model, and analyzes facial expressions and environmental conditions. Furthermore, the emotion engine analyzes User A's emotions and obtains emotion data.
[1641] 5. AI Counseling
[1642] The server sends the counseling information, image analysis data, and emotion recognition data to the AI counseling module, which then generates a campsite background and casual clothing setting and sends it back to the server.
[1643] 6. Image Generation
[1644] Based on the results of the AI counseling procedure, the server uses image generation AI to generate multiple variations of photos. The generation AI composites User A's face against the background of a campsite and applies casual clothing.
[1645] 7. Providing and storing results
[1646] The server saves the generated photo and generates a download URL. The device notifies User A of the generated photo and displays a preview screen. User A checks the photo and downloads it.
[1647] This allows users to easily take high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes and emotions.
[1648] The processing flow will be explained below.
[1649] Step 1:
[1650] Users install the app on their smartphone, open the account registration screen, enter their email address and password, and tap the "Register" button.
[1651] Step 2:
[1652] The device sends the email address and password entered by the user to the server.
[1653] Step 3:
[1654] The server stores the received email address and password in a database, creates a user account, and generates an authentication token that is sent back to the device.
[1655] Step 4:
[1656] The user enters their email address and password on the login screen and taps the "Login" button.
[1657] Step 5:
[1658] The terminal sends the input information and the authentication token to the server and requests authentication.
[1659] Step 6:
[1660] The server verifies the user information and, if authentication is successful, allows login and provides access to the main screen.
[1661] Step 7:
[1662] Users tap the "Start Counseling" button from the main screen and enter information about their purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite).
[1663] Step 8:
[1664] The terminal transmits the input counseling information to the server.
[1665] Step 9:
[1666] Users can select an image of their favorite expression and upload the image from within the app.
[1667] Step 10:
[1668] The terminal transmits the image to the server.
[1669] Step 11:
[1670] The server receives the images and sends them to an image analysis module, which analyzes facial expressions, angles, lighting conditions, etc.
[1671] Step 12:
[1672] The server sends the analyzed data to the emotion engine, which recognizes the emotion based on the user's facial expression data and sends the data back to the server.
[1673] Step 13:
[1674] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module.
[1675] Step 14:
[1676] The AI counseling module generates optimal commemorative photo settings (background, clothing, lighting conditions) based on the user's input information and emotional data, and sends the results back to the server.
[1677] Step 15:
[1678] The server sends the results of the AI counseling method to the image generation AI, which then combines the background, clothing, and the user's facial expression to generate multiple variations of the commemorative photo.
[1679] Step 16:
[1680] The server stores the generated commemorative photo in a database and generates a download URL that users can access.
[1681] Step 17:
[1682] The device will send a notification of the generated photo to the user and display a preview screen where the user can view and download the photo.
[1683] Step 18:
[1684] The user can download and save the generated photo.
[1685] Example 2
[1686] 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."
[1687] Conventional commemorative photo generation systems have the problem that it is difficult to generate optimal commemorative photos that take into account the user's emotions, in addition to providing information about the user's desired purpose, background, and clothing. Furthermore, there was a lack of a means to efficiently analyze images uploaded by users, recognize their emotions, and provide appropriate commemorative photos, making it difficult to obtain results that satisfied users.
[1688] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.
[1689] In this invention, the server includes counseling means for inputting information about the user's desired purpose, clothing, and background, terminal means for transmitting the information input by the user to the server, authentication information storage means for saving the input information and uploaded image data in a database, image analysis means for analyzing the image uploaded by the user and acquiring facial expressions, angle, and lighting conditions, emotion recognition means for recognizing the user's emotions based on the results of the image analysis, AI counseling means for generating optimal commemorative photo settings based on data from the counseling means, image analysis means, and emotion recognition means, image generation means for generating realistic commemorative photos based on the generated settings, and result storage means for saving the generated commemorative photos in a database and notifying the user. This makes it possible to efficiently generate optimal commemorative photos that take the user's emotions into consideration, and obtain results that satisfy the user.
[1690] "Counseling tool" refers to an interface that allows users to input information about their desired purpose, clothing, and background.
[1691] "Terminal means" refers to devices and software for transmitting information entered by the user to the server.
[1692] "Authentication information storage means" refers to a means having the function of safely storing input information and uploaded image data in a database.
[1693] "Image analysis means" refers to technology that analyzes images uploaded by users and obtains information such as facial expressions, angles, and lighting conditions.
[1694] "Emotion recognition means" refers to a means for recognizing a user's emotions based on the results of image analysis and acquiring that data.
[1695] "AI counseling means" refers to artificial intelligence technology that generates optimal settings for commemorative photos based on data from counseling means, image analysis means, and emotion recognition means.
[1696] "Image generation means" refers to the technology and software used to generate realistic commemorative photographs based on the generated settings.
[1697] "Result storage means" refers to a means having the function of storing the generated commemorative photo in a database and notifying the user.
[1698] This invention is a system for generating an optimal commemorative photo that takes into consideration the user's desired purpose, background, clothing, and emotions. Specifically, it is implemented as follows.
[1699] First, the user installs a dedicated application on a device such as a smartphone or PC and launches the application. The user enters an email address and password on the account registration screen and taps the "Register" button. This information is sent from the device to the server, which receives it, stores the authentication information in a database, and creates a new user account. At this time, the server generates an authentication token and sends it back to the device.
[1700] Next, the user enters the email address and password they entered earlier on the login screen and taps the "Login" button. The device sends the entered information and authentication token to the server. The server authenticates this, and if successful, the user is directed to the main screen.
[1701] Users tap the "Start Counseling" button on the main screen and enter information about the purpose of the photo (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite). This data is sent from the device to the server.
[1702] Next, users select a photo with their favorite facial expression and upload it to the app. The image data is sent from the device to a server, where it is analyzed using an image analysis module that analyzes facial expressions, angles, lighting conditions, and other factors. The image analysis module uses software such as OpenCV and TensorFlow.
[1703] Once the analysis is complete, the server sends the data to an emotion recognition engine, which uses software such as Emotion API, to recognize the user's emotions. The emotion recognition engine then sends the results back to the server.
[1704] The server sends counseling information, image analysis data, and emotion recognition data to an AI counseling module, which uses a tool such as GPT-3 to generate optimal settings for a commemorative photo (background, clothing, lighting conditions, etc.) and returns the results to the server.
[1705] Based on the results of the AI counseling module, the server generates realistic commemorative photos using image generation AI (e.g., GANs: Generative Adversarial Networks). Multiple variations of the commemorative photos are saved and a download URL is provided that users can access.
[1706] The server saves the generated commemorative photo in a database and notifies the user's device, which then sends a notification to the user and displays a preview screen. The user can then check the photo and download it if necessary.
[1707] Specific examples
[1708] For example, a specific process for a user to create a birthday commemorative photo will be described.
[1709] 1. User Registration
[1710] A user downloads and installs an app. The user creates an account and logs in. The server verifies the user information and issues an authentication token.
[1711] 2. Enter your counseling information
[1712] The user taps the "Start Counseling" button and selects the occasion (birthday), outfit (casual), and background (campsite). The device sends the entered information to the server.
[1713] 3. Upload an image
[1714] Users take a selfie with their favorite expression and upload it within the app, and the device sends the image to the server.
[1715] 4. Image Analysis and Emotion Recognition
[1716] The server receives the image, inputs it into an AI model to analyze facial expressions and environmental conditions, and then analyzes the user's emotions using an emotion engine to obtain emotional data.
[1717] 5. AI Counseling
[1718] The server sends the counseling information, image analysis data, and emotion recognition data to the AI counseling module, which then generates a campsite background and casual clothing setting and sends it back to the server.
[1719] 6. Image Generation
[1720] Based on the results of the AI counseling procedure, the server uses image generation AI to generate multiple variations of photos, which then combine the user's face with the background of a campsite and apply casual clothing.
[1721] 7. Providing and storing results
[1722] The server saves the generated photo and generates a download URL. The device notifies the user of the generated photo and displays a preview screen. The user can then view and download the photo.
[1723] This allows users to easily capture high-quality commemorative photos and enjoy a customized photography experience tailored to specific purposes and emotions.
[1724] Prompt Sentence Examples
[1725] Below are some example prompts to input to a generative AI model:
[1726] Please explain the specific process of the system that recognizes the user's emotions and generates the optimal commemorative photo. A user follows the steps to create a birthday commemorative photo: they install the app, register an account, enter their personal information (purpose, clothing, background), and upload an image including their facial expression. Please provide a detailed description of the process by which the server analyzes the image and recognizes emotions, and the AI generates the optimal photo. Please also include specific operations.
[1727]
[1728] The flow of the identification process in the second embodiment will be described with reference to FIG.
[1729] Step 1:
[1730] Installing and launching the app
[1731] A user installs an app on their smartphone and launches it. Input: App installation request. Output: App installation completed and launch. Specifically, the user downloads the application from the app store and installs it on their device. They then launch the app and the account registration screen appears.
[1732] Step 2:
[1733] Account Registration
[1734] The user enters their email address and password and taps the "Register" button. Input: Email address and password. Output: Registration completion message and authentication token. The device sends the entered information to the server. The server receives the information, stores it in a database, and creates a new user account. The server then generates an authentication token and sends it back to the device.
[1735] Step 3:
[1736] Log in
[1737] The user enters their email address and password on the login screen and taps the "Login" button. Input: email address, password, authentication token. Output: login success message and permission to access the main screen. The device sends the email address, password, and authentication token to the server and requests authentication. The server verifies the user information, and if authentication is successful, allows login and provides access to the main screen.
[1738] Step 4:
[1739] Enter counseling information
[1740] The user taps the "Start Counseling" button on the main screen and enters information about the purpose (e.g., birthday), clothing (e.g., casual), and background (e.g., campsite). Input: Purpose, clothing, and background information. Output: Notification that the counseling information has been sent. The device sends the entered information to the server.
[1741] Step 5:
[1742] Uploading an image
[1743] The user selects an image of their favorite facial expression and uploads it within the app. Input: Image file. Output: Notification that the image has been uploaded. The device sends the image data to the server. The server receives the sent image data.
[1744] Step 6:
[1745] Image analysis and emotion recognition
[1746] The server uses an image analysis module to analyze the uploaded image. Input: Image data. Output: Image analysis results (facial expression, angle, lighting conditions, etc.). Specifically, the server uses an image analysis module (e.g., OpenCV or TensorFlow) to extract facial landmarks and analyze facial expressions. It then sends the analysis results to an emotion recognition engine, which recognizes emotions. The emotion recognition engine then sends the recognition results back to the server. Input: Image analysis results. Output: Emotion recognition data.
[1747] Step 7:
[1748] AI Counseling
[1749] The server sends counseling information, image analysis data, and emotion recognition data to the AI counseling module. Input: counseling information, image analysis data, emotion recognition data. Output: optimal commemorative photo settings (background, clothing, lighting conditions, etc.). Specifically, the AI counseling module generates optimal commemorative photo settings based on this data and sends the results back to the server.
[1750] Step 8:
[1751] Image generation
[1752] The server sends the results of the AI counseling module to the image generation AI, which generates a realistic commemorative photo. Input: Optimal commemorative photo settings. Output: Generated commemorative photo. Specifically, the image generation AI (e.g., GANs) integrates the user's facial expression, background, and clothing to generate a realistic commemorative photo.
[1753] Step 9:
[1754] Save and notify results
[1755] The server saves the generated commemorative photo in a database and generates a download URL that the user can access. Input: Generated commemorative photo. Output: Download URL. The server notifies the device of the download URL, and the device sends a notification to the user. The user can check the generated photo on the preview screen and download it.
[1756] (Application example 2)
[1757] 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."
[1758] Conventional photo-taking systems have the problem that users spend a lot of time taking photos and require a lot of effort to obtain photos that satisfy them. In particular, in stores, if customers are not satisfied with the photos they take in real time, it affects the impression and satisfaction of the store. Furthermore, there is an issue that the system cannot generate photos that reflect the user's emotions, making it difficult to respond to individual needs.
[1759] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a counseling means for inputting information about the user's desired purpose, clothing, and background; an image analysis means for uploading real-time images taken by the user to a cloud server and analyzing the images using AI to acquire facial expressions, angle, and lighting conditions; an AI counseling means for generating optimal commemorative photo settings based on data from the counseling means and image analysis means; an image generation means for generating multiple variations of commemorative photos based on the generated settings and providing them to the user; and a notification means for generating download URLs for the generated commemorative photos and making them accessible to the user in real time. This allows users to instantly analyze and generate photos taken in the store and obtain high-quality commemorative photos in real time, significantly reducing the effort and time required for photography.
[1760] The "counseling method" is a method for users to input information about their desired purpose, clothing, and background.
[1761] The "image analysis means" is a means of uploading real-time images taken by the user to a cloud server and analyzing the images using AI to obtain facial expressions, angles, and lighting conditions.
[1762] The "AI counseling means" is a means for generating optimal settings for commemorative photos based on data from the counseling means and image analysis means.
[1763] The "image generation means" is a means for generating a variety of commemorative photographs based on the generated settings and providing them to the user.
[1764] The "notification means" is a means for generating a download URL for the generated commemorative photo and making it accessible to the user in real time.
[1765] The present invention is a system that generates and instantly provides the best commemorative photos based on images taken by users in real time within a store. This system includes the following main components:
[1766] 1. Counseling methods
[1767] The server provides a consultation tool for users to input information about their desired occasion, outfit, and background. Users input this information using a smartphone, tablet, or a photo booth device installed in a store. For example, if a user wants to take photos to commemorate their birthday, they input information such as "Occasion = Birthday," "Outfit = Casual," and "Background = Campsite."
[1768] 2. Image analysis methods
[1769] The server uploads images taken by users to a cloud server in real time, and the images are analyzed using AI. The system primarily acquires facial expressions, angles, and lighting conditions. The hardware used is a high-resolution camera, and the software is an image analysis library. This makes it possible to determine the user's realistic facial expressions and emotions.
[1770] 3. AI counseling methods
[1771] The server has an AI counseling means that generates optimal settings for a commemorative photo based on data from the counseling means and the image analysis means. The AI counseling means uses a generative AI model to propose settings such as the most suitable background, clothing, lighting conditions, etc. based on the user's attributes and emotional data.
[1772] 4. Image Generation Method
[1773] The server has an image generation means that generates multiple variations of commemorative photos based on the settings generated by the AI counseling means. This allows photos to be created in real time to be provided to users. The software used is an image generation library.
[1774] 5. Means of notification
[1775] The server generates a download URL for the generated commemorative photo and notifies the user in real time. Users can instantly view, download, and share the generated photo via smartphone or tablet. Notifications are sent via push notification or email.
[1776] Specific examples
[1777] For example, consider a case where a user enters a store's photo booth to celebrate a birthday. Using a tablet device, the user enters information such as "Occasion: Birthday," "Attire: Casual," and "Background: Campsite." The camera inside the photo booth then takes a photo in real time, and the image is uploaded to a cloud server. The server uses a generative AI model to analyze the facial expression in the captured image and selects the optimal background and effects. Finally, the AI generates multiple variations of the commemorative photo on the cloud, and notifies the user of the download URL. The user can check the photo on the preview screen and download it if they are satisfied.
[1778] Example prompts for generative AI models
[1779] Prompt to input to the generative AI model:
[1780] Theme: Birthday
[1781] Dress Code: Casual
[1782] Background: Campsite
[1783] User emotion analysis: happy, smiling
[1784] Generate a customized birthday photo by blending the user's face into a background using the settings below.
[1785] This allows users to easily and quickly obtain high-quality commemorative photos taken in stores, which is expected to improve user satisfaction and increase the value of store services.
[1786] The flow of the specific processing in the application example 2 will be described with reference to FIG.
[1787] Step 1:
[1788] Users log in to the app using a smartphone, tablet, or photo booth device. After logging in, users access a counseling screen where they enter information about the purpose, clothing, and background. The data entered by the user (purpose, clothing, background) is sent from the device to the server. Input data: purpose, clothing, background. Output data: counseling data.
[1789] Step 2:
[1790] Based on the received counseling data, the server prepares to accept real-time images taken by the user on the cloud. The user uses the camera in the photo booth to take photos in real time. The images taken by the user are uploaded from the terminal to the cloud server. Input data: Images taken by the user. Output data: Images uploaded to the cloud.
[1791] Step 3:
[1792] The server receives the images uploaded to the cloud and analyzes them using AI through image analysis means. The image analysis means analyzes conditions such as facial expression, angle, and brightness, and obtains that data. Input data: User's image. Output data: Facial expression, angle, and brightness conditions.
[1793] Step 4:
[1794] The server uses a generative AI model based on the analyzed data and counseling data to generate optimal commemorative photo settings. The AI counseling means receives the analyzed data and counseling data as input and sets the most suitable background, clothing, lighting conditions, etc. Input data: facial expression, angle, lighting conditions, counseling data. Output data: optimal commemorative photo settings.
[1795] Step 5:
[1796] The server uses the generated settings to generate multiple variations of commemorative photos using an image generation means. The image generation means integrates data such as background, clothing, and the user's face to generate multiple customized commemorative photos. Input data: Optimal commemorative photo settings. Output data: Multiple variations of commemorative photos.
[1797] Step 6:
[1798] The server saves the generated commemorative photos on the cloud and generates a download URL that the user can access. The server then sends a notification to the device, allowing the user to preview and download the generated commemorative photos. Input data: multiple variations of commemorative photos. Output data: download URL, notification message.
[1799] Step 7:
[1800] The user checks the received notification and checks the generated photo on the provided preview screen. If satisfied, the user downloads the photo and saves it to their local device. Input data: The photo on the preview screen. Output data: The downloaded photo.
[1801] 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.
[1802] 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.
[1803] 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.
[1804] 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.
[1805] FIG. 9 illustrates 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 behaviors 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.
[1806] 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.
[1807] 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).
[1808] 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.
[1809] 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."
[1810] 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.
[1811] 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).
[1812] 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.
[1813] 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.
[1814] 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.
[1815] 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.
[1816] 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.
[1817] 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.
[1818] 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.
[1819] 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.
[1820] 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.
[1821] 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.
[1822] The following is further disclosed regarding the above embodiment.
[1823] (Claim 1)
[1824] A counseling method where users input information about their desired use, clothing, and background;
[1825] Image analysis means that uses AI to analyze images uploaded by users and acquire facial expressions, angles, and lighting conditions;
[1826] an AI counseling means for generating optimal settings for a commemorative photo based on data from the counseling means and the image analysis means;
[1827] The system includes an image generation means for generating a realistic commemorative photograph based on the generated setting.
[1828] (Claim 2)
[1829] 2. The system according to claim 1, further comprising an advertisement display means for suggesting clothing and backgrounds based on data from said counseling means and said image analysis means.
[1830] (Claim 3)
[1831] The system according to claim 1, further comprising a function of generating a plurality of variations of commemorative photos based on the settings generated by the AI counseling means.
[1832] "Example 1"
[1833] (Claim 1)
[1834] A counseling method where users input information about their desired use, clothing, and background;
[1835] Image analysis means that uses artificial intelligence to analyze images uploaded by users and acquire facial expressions, angles, and lighting conditions;
[1836] an artificial intelligence counseling means for generating optimal settings for a commemorative photo based on data from the counseling means and the image analysis means;
[1837] an image generation means for generating a realistic commemorative photograph based on the generated setting;
[1838] A means for storing the generated commemorative photograph in a database and providing it for users to download;
[1839] The system includes means for notifying the user of the generated souvenir photo and displaying a preview screen.
[1840] (Claim 2)
[1841] 2. The system according to claim 1, further comprising an advertisement display means for suggesting clothing and backgrounds based on data from said counseling means and said image analysis means.
[1842] (Claim 3)
[1843] 2. The system according to claim 1, further comprising a function of generating a plurality of variations of commemorative photographs based on the settings generated by the artificial intelligence counseling means.
[1844] "Application Example 1"
[1845] (Claim 1)
[1846] an input means for inputting information about the user's desired purpose, clothing, and background;
[1847] Image analysis means that uses artificial intelligence to analyze images uploaded by users and acquire facial expressions, angles, and lighting conditions;
[1848] a counseling means for generating optimal settings for a commemorative photograph based on data from the input means and the image analysis means;
[1849] an image generation means for generating a realistic commemorative photograph based on the generated setting;
[1850] The system includes a sharing means for sharing the generated commemorative photos with a content distribution service.
[1851] (Claim 2)
[1852] 2. The system according to claim 1, further comprising display means for suggesting clothing and backgrounds based on data from said input means and image analysis means.
[1853] (Claim 3)
[1854] 2. The system according to claim 1, further comprising a function of generating a plurality of variations of commemorative photographs based on the settings generated by said counseling means.
[1855] "Example 2: Combining Emotion Engines"
[1856] (Claim 1)
[1857] A counseling method where users input information about their desired use, clothing, and background;
[1858] a terminal means for transmitting information input by a user to a server;
[1859] an authentication information storage means for storing the input information and uploaded image data in a database;
[1860] An image analysis means for analyzing images uploaded by users and acquiring facial expressions, angles, and lighting conditions;
[1861] An emotion recognition means for recognizing a user's emotion based on the results of image analysis;
[1862] An AI counseling method that generates optimal settings for commemorative photos based on data from counseling methods, image analysis methods, and emotion recognition methods;
[1863] an image generation means for generating a realistic commemorative photograph based on the generated setting;
[1864] The system includes a result storage means for storing the generated commemorative photo in a database and notifying the user.
[1865] (Claim 2)
[1866] 2. The system according to claim 1, further comprising an advertisement display means for suggesting clothing and backgrounds based on data from the counseling means and the image analysis means.
[1867] (Claim 3)
[1868] The system according to claim 1, having a function of generating a plurality of variations of commemorative photos based on the settings generated by the AI counseling means.
[1869] "Application example 2 when combining emotion engines"
[1870] (Claim 1)
[1871] A counseling method where users input information about their desired use, clothing, and background;
[1872] An image analysis means that uploads real-time images taken by users to a cloud server and analyzes the images using AI to obtain facial expressions, angles, and lighting conditions;
[1873] an AI counseling means for generating optimal settings for a commemorative photo based on data from the counseling means and the image analysis means;
[1874] an image generating means for generating a plurality of variations of commemorative photos based on the generated settings and providing them to the user;
[1875] The system includes a notification means for generating a download URL for the generated commemorative photo and making it accessible to the user in real time.
[1876] (Claim 2)
[1877] The system according to claim 1, further comprising a function for uploading captured images using a device installed in the store and enabling download of commemorative photos that are analyzed and generated in real time.
[1878] (Claim 3)
[1879] The system according to claim 1, having a function of generating and providing a plurality of variations of commemorative photos that match the purpose, clothing, background, and emotions of the user based on the settings generated by the AI counseling means. [Explanation of symbols]
[1880] 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 counseling method where users input information about their desired use, clothing, and background; Image analysis means that uses AI to analyze images uploaded by users and acquire facial expressions, angles, and lighting conditions; an AI counseling means for generating optimal settings for a commemorative photo based on data from the counseling means and the image analysis means; The system includes an image generation means for generating a realistic commemorative photograph based on the generated setting.
2. 2. The system according to claim 1, further comprising an advertisement display means for suggesting clothing and backgrounds based on data from said counseling means and said image analysis means.
3. The system according to claim 1, further comprising a function of generating a plurality of variations of commemorative photos based on the settings generated by the AI counseling means.
Citation Information
Patent Citations
Persona chatbot control method and system
JP2022180282A