System

Abstract

To provide a system which enables anyone to easily leave a beautiful memorable photograph.SOLUTION: Means for the user to activate, means for the terminal to initialize the camera and display a live view, means for the terminal to capture an image frame and send it to the server, means for the server to analyze the received image and acquire the number of people, location, and brightness, means for the server to generate an optimal angle of view, pose, and dimming based on the analysis result, means for the terminal to send a suggestion generated by the server to the user, means for the user to pose according to the suggestion displayed by the terminal, and means for the terminal to confirm the pose; A system comprising: means for optionally providing additional instructions; and means for taking a picture once the terminal is properly posed.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In recent years, opportunities to take commemorative photos, such as during trips or gatherings with friends, have increased. However, for people who are not accustomed to taking photos, it can be difficult to capture professional-quality images. In particular, they often struggle to pose, set the angle of view, or adjust the lighting properly, resulting in images that do not fully capture the beautiful situation. Furthermore, there is no easy way to meet the demand for taking beautiful photos like those of influencers. Given this situation, there is a need for a system that allows anyone to easily capture beautiful photos of their memories. [Means for solving the problem]

[0005] The system includes a means for a user to start the system, a means for the terminal to initialize the camera and display a live view, a means for the terminal to capture image frames and send them to a server, a means for the server to analyze the received images and obtain the number of people, location, and brightness, a means for the server to generate optimal angle of view, pose, and lighting control based on the analysis results, a means for the server to send the generated suggestions to the terminal, a means for the terminal to display the suggestions from the server to the user, a means for the user to pose according to the displayed suggestions, a means for the terminal to confirm the pose and provide additional instructions as necessary, and a means for the terminal to take a photo once an appropriate pose has been taken.This system generates optimal suggestions by referencing a photo database of influencers and makes it easy for the user to adjust poses in real time, allowing anyone to easily take beautiful photos.

[0006] "User" refers to an individual who takes a photo using a camera application.

[0007] "Device" refers to an electronic device such as a smartphone or tablet that runs a camera app.

[0008] "Camera" refers to a device built into a device for taking photos and videos.

[0009] "Live View" refers to the function that displays images captured by the camera on the device screen in real time.

[0010] "Image frame" refers to a still image captured by a camera.

[0011] "Server" refers to a remote computer system that performs processing such as image analysis and proposal generation.

[0012] "Analysis" refers to the process of extracting information such as the number of people, location, and brightness from the received image data.

[0013] The "angle of view" refers to the width of the field of view that the camera captures.

[0014] "Posing" refers to the posture or position of the subject in a photograph.

[0015] "Dimming" refers to adjusting the amount of light in the shooting environment.

[0016] "Suggestions" refers to instructions regarding optimal photo settings and poses sent from the server to the device.

[0017] "Guidelines" refers to a function that displays visual instructions on the device to help the user take the correct pose based on suggestions.

[0018] "Influencers" are people who have a large number of followers and influence on social media.

[0019] "Database" refers to the system in which influencer photo data is stored.

[0020] "Verification" refers to checking whether the pose taken by the user is as suggested.

[0021] "Saving" refers to recording the captured photo in the device's storage or online service. [Brief explanation of the drawings]

[0022] [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

[0023] 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.

[0024] First, the terms used in the following description will be explained.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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."

[0030] [First embodiment]

[0031] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0032] 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.

[0033] 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).

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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."

[0043] In accordance with an embodiment of the present invention, a system is provided that allows a user to easily take beautiful commemorative photos when traveling or gathering with friends. The system includes a user, a terminal, and a server.

[0044] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[0045] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[0046] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[0047] Once the right pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later.

[0048] Let's explain this with a concrete example. Imagine three friends wanting to take a photo in a park. In this case, the user launches the camera app and presses the shutter button. The device sends the image frame to the server, which analyzes it. The server takes into account the park background, the number of people, and appropriate natural lighting conditions, and generates suggestions such as "the three people should stand diagonally," "the person in the middle should be in front," and "include a fountain in the background." The device displays these suggestions to the user, who then poses according to the instructions. After the device confirms the pose, it takes and saves the photo.

[0049] This system allows users to easily obtain professional quality photos without having special photography skills.

[0050] The processing flow will be explained below.

[0051] Step 1:

[0052] The user launches the app. The user taps the icon on the screen of their smartphone or tablet to launch the camera application.

[0053] Step 2:

[0054] The device initializes the camera and displays the live view. The device initializes the camera device and displays the camera image in real time on the device screen.

[0055] Step 3:

[0056] The user presses the shutter button. The user taps the shutter button on the device screen to start taking a picture.

[0057] Step 4:

[0058] The device captures the current image frame and sends it to the server. The device captures the current frame captured by the camera as image data and sends it to the server via the Internet.

[0059] Step 5:

[0060] The server receives the images and performs analysis. The server analyzes the received image data to identify the number of people, location, brightness, etc. This includes facial recognition, background analysis, and light measurement.

[0061] Step 6:

[0062] The server generates optimal suggestions based on the analysis results. The server references the influencer's photo database and generates optimal suggestions for angle of view, posing, and lighting based on the information obtained.

[0063] Step 7:

[0064] The server sends the proposal to the terminal. The server sends the proposal generated by the server to the terminal via the Internet.

[0065] Step 8:

[0066] The device displays the suggestions to the user. The device visually displays the received suggestions on the screen, providing guidelines and posing instructions to the user.

[0067] Step 9:

[0068] The user poses according to the displayed suggestions. The user follows the guidelines displayed on the device and adjusts their position and posture to achieve an appropriate pose.

[0069] Step 10:

[0070] The device checks the pose and provides additional instructions if necessary. The device analyzes the camera footage in real time, checks whether the user's pose is as suggested, and displays additional instructions on the screen if necessary.

[0071] Step 11:

[0072] The device will take a photo when the appropriate pose is taken. Once the user has taken the appropriate pose, the device will automatically take a photo and save the image in the device's storage.

[0073] By following these steps, users can easily take professional quality photos.

[0074] Example 1

[0075] 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."

[0076] In modern photography, especially when traveling or gathering with friends, users often lack the skills and techniques to take professional-quality photos. This makes it difficult to take beautiful, memorable photos, and it is especially challenging to optimize elements such as composition, posing, and lighting.

[0077] 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.

[0078] In this invention, the server includes a means for referencing a photo database of influencers and generating optimal suggestions, a means for checking the user's pose in real time to confirm whether it is appropriate for the suggestions, and a means for saving the captured photos and allowing the user to review and share them, thereby enabling users to easily obtain professional-quality photos even without special photography skills.

[0079] "User" refers to a person who uses the system to take commemorative photos.

[0080] "Device" means a mobile device, such as a smartphone or tablet, that has a camera function and is hardware for running the System's camera application.

[0081] A "server" refers to a computer system that receives and analyzes data sent from a terminal, and is often installed in the cloud or in a remote location.

[0082] "Initializing the camera" means activating the camera function of the device and making it ready to take pictures.

[0083] "Live view" refers to the function that displays images captured by the camera on the device's display in real time.

[0084] "Image frame" refers to a still image captured by a device's camera at a particular moment in time.

[0085] "Analyzing" means that the server processes the image data received and extracts specific information (such as the number of people, location, and brightness).

[0086] "Optimal angle, posing, and lighting" refers to settings and suggestions for optimizing the shooting angle, subject pose, and lighting conditions to take beautiful commemorative photos.

[0087] "Generating suggestions" means that the server creates guidelines for the user to take beautiful photos based on the analysis results.

[0088] "Save" means recording the captured photo data in the device's internal storage or cloud storage.

[0089] "Confirming" refers to the device displaying the photograph taken to the user and asking the user to check the contents.

[0090] "Allow sharing" means providing the ability to electronically transmit stored photographs with others.

[0091] The present invention provides a system that allows users, terminals, and a server to easily take professional-quality commemorative photos when traveling or gathering with friends. Specific embodiments of the system are described below.

[0092] A user launches a camera application on a device such as a smartphone or tablet (e.g., a commonly used mobile device). The launched application automatically initializes the device's camera and displays a live view of the camera image in real time. When the user presses the shutter button, the device captures the currently displayed image frame and sends the image data to a server. Encrypted communication (e.g., SSL / TLS) is used to ensure security during transmission.

[0093] The server inputs the received image into an AI analysis engine (e.g., OpenCV or a deep learning model) and analyzes the following elements:

[0094] Recognizing the number of people (using facial recognition technology)

[0095] Identifying location

[0096] Brightness rating

[0097] Based on the analysis results, the server references a database of influencer photos and generates guidelines that suggest optimal angles, poses, and lighting. This database includes high-quality photos taken by professional photographers and influencers. The server then sends the generated guidelines to the device, which then displays them on the user interface. For example, the shooting guidelines are overlaid on the live view.

[0098] As the user follows the displayed guidelines and moves to the instructed pose or position, the device analyzes the camera's live view in real time to ensure the user is posing correctly. If necessary, it provides additional instructions to the user in real time. When the conditions are met, the device automatically takes a photo.

[0099] The device then saves the captured photos to local storage or cloud storage (e.g., iCloud, Google Photos), allowing users to view the captured photos and easily share them via social media, email, etc.

[0100] As a concrete example, consider taking a photo of three friends in a park. The user launches the camera app and presses the shutter button. The device sends the image frame to the server, which analyzes it as follows:

[0101] Identify the number of people as 3

[0102] Check the park features in the background

[0103] Evaluate natural light conditions

[0104] The server generates suggestions based on the park background, the number of people, and natural lighting conditions, such as "the three people should stand diagonally," "the person in the middle should stand in front," and "a fountain should be included in the background," and sends these suggestions to the device. The device then displays these suggestions to the user, who then follows the instructions to strike a pose. After the device confirms the pose, it automatically takes and saves a photo.

[0105] The following is an example of a prompt that the user would enter into the system:

[0106] "I'd like to take a photo with my friends in the park. We'd like to stand diagonally across from each other, with the middle person posing slightly forward and with a fountain in the background. Can you guide me through taking this kind of photo?"

[0107] This system allows users to easily obtain professional quality photos without having special photography skills.

[0108] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0109] Step 1:

[0110] The user launches the camera application.

[0111] Specifically, a user taps the app on their smartphone or tablet to launch it, which causes the device to internally initialize the camera module and prepare for displaying the live view.

[0112] Input: User action (tapping on the app)

[0113] Output: App launch, camera initialization

[0114] Step 2:

[0115] The device will initialize the camera and display the live view.

[0116] The device initializes its internal sensors and camera module, preparing the display to display the real-time video stream, and then displays the live view on the user's screen.

[0117] Input: App launch instruction

[0118] Output: Live View display

[0119] Step 3:

[0120] The user presses the shutter button.

[0121] The user taps the shutter button in the app's interface to initiate image capture.

[0122] Input: User action (tapping the shutter button)

[0123] Output: Shutter event occurs

[0124] Step 4:

[0125] The device captures the image frame.

[0126] The device will capture an image from the current live view and prepare it to be saved as a still image, generating image data that captures a specific moment in time.

[0127] Input: shutter event

[0128] Output: Image data (still image)

[0129] Step 5:

[0130] The device sends the captured image to the server.

[0131] The device sends the acquired image data to the server using a digital communication method (e.g., internet, mobile data). The communication is secured using encryption protocols such as SSL / TLS.

[0132] Input: Image data

[0133] Output: Sending event, sending image data to the server

[0134] Step 6:

[0135] The server analyzes the image.

[0136] The server uses an AI analysis engine (e.g., OpenCV, deep learning model, etc.) to analyze the received images and obtain the number of people, location, and brightness. Specifically, it identifies the number of people using facial recognition technology and analyzes background information and lighting conditions.

[0137] Input: Received image data

[0138] Output: Analysis result data (number of people, location, brightness information)

[0139] Step 7:

[0140] The server generates optimal suggestions based on the analysis results.

[0141] The server references the influencer's photo database and generates guidelines that suggest optimal angles, poses, and lighting based on the analysis results.

[0142] Input: Analysis result data

[0143] Output: Shooting guideline proposal

[0144] Step 8:

[0145] The server sends the proposal to the device.

[0146] The server transmits the generated shooting guidelines to the terminal as response data.

[0147] Input: Proposed shooting guidelines

[0148] Output: Send guideline data

[0149] Step 9:

[0150] The terminal displays the suggestions to the user.

[0151] The device overlays the received guidelines on the live view, providing a visual representation to the user.

[0152] Input: Guideline data

[0153] Output: Guideline display on live view

[0154] Step 10:

[0155] The user poses according to the suggestions.

[0156] The user follows the guidelines displayed on the device and assumes the specified pose and position.

[0157] Input: Guideline display on live view

[0158] Output: User pose

[0159] Step 11:

[0160] The terminal checks the video in real time and gives additional instructions.

[0161] The device analyzes the camera's live view in real time to ensure the user is posing correctly, and displays additional instructions if necessary.

[0162] Input: Live View video

[0163] Output: Additional instructions

[0164] Step 12:

[0165] The device will automatically take a photo at the appropriate time.

[0166] The device will automatically take a photo when it determines that the conditions are right.

[0167] Input: Confirmed pose

[0168] Output: The captured photo

[0169] Step 13:

[0170] The device saves the photo.

[0171] The device will save the photos you take to its internal storage or cloud storage.

[0172] Input: Photo taken

[0173] Output: Save event

[0174] Step 14:

[0175] Users view and share photos.

[0176] Users can view the photos saved within the app and share them via social media, email, etc.

[0177] Input: Saved Photos

[0178] Output: Confirmation and sharing events

[0179] (Application example 1)

[0180] 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."

[0181] In conventional tourism, users often need camera skills and knowledge of poses to take attractive commemorative photos, and it can be difficult to instantly take a suitable photo, especially at tourist spots. In addition, users have to take time and effort to take photos, or ask for someone to take the photo for them, which can make the trip less comfortable.

[0182] 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.

[0183] In this invention, the server includes means for a user to start the server, means for the terminal to initialize the camera and display a live view, means for the terminal to capture image frames and send them to the server, means for the server to analyze the received images and acquire the number of people, location, and brightness, means for the server to generate optimal angle of view, poses, and lighting control based on the analysis results, means for the server to send the generated suggestions to the terminal, means for the terminal to display the suggestions from the server to the user, means for the user to pose according to the displayed suggestions, means for the terminal to confirm the pose and issue additional instructions as necessary, means for the terminal to take a photo when an appropriate pose has been taken, and means for the terminal to automatically take photos near tourist spots using the camera and infotainment system installed in the autonomous vehicle. This enables users to easily and automatically take professional-quality commemorative photos at tourist spots without any special skills.

[0184] "User" refers to an individual who uses the system to take photographs.

[0185] "Terminal" refers to an electronic device, such as a smartphone or tablet, that a user possesses and that is used to initialize the camera and display the live view.

[0186] "Server" refers to a remote computer system that has the computing power to receive images sent from a user's terminal, perform analysis, generate optimal suggestions, and send them to the user.

[0187] An "image frame" refers to the data of a momentary still image captured by a camera.

[0188] "Live view" refers to a function that allows you to check the images captured by the camera in real time on your device.

[0189] "Analysis" refers to the process of extracting information contained in an image frame and identifying features such as number of people, location, and lighting.

[0190] "Angle of view" refers to the setting that determines the range included in the camera's field of view.

[0191] "Posing" refers to the pose or positioning of the subject in a photograph.

[0192] "Dimming" refers to the process of adjusting the amount and direction of light depending on the conditions under which a photograph is taken.

[0193] "Suggestion" refers to specific instructions for the user regarding posing, angle of view, and lighting that are generated by the server based on the results of image analysis.

[0194] "Infotainment system" means a system for displaying and controlling information and entertainment provided in a motor vehicle.

[0195] "Autonomous vehicle" means a vehicle that is capable of driving autonomously without human operation.

[0196] A system for implementing the present invention includes an autonomous vehicle, a user terminal, and a server. Specific embodiments of this system will be described below.

[0197] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[0198] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This analysis includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[0199] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[0200] Once the right pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later.

[0201] Next, we will explain how this system can be applied to autonomous vehicles. When approaching a tourist spot, a high-resolution camera installed inside the vehicle will activate and instruct passengers on the optimal pose and position. These instructions will be displayed to passengers through the infotainment system.

[0202] When approaching a tourist spot, the autonomous vehicle's infotainment system displays a notification asking, "Would you like to take a photo at this spot?" If the passenger selects "Yes," the camera begins operating, and the AI ​​analyzes the footage and displays instructions such as, "Stand at this angle so that all three people are balanced in the frame." When the passenger follows the instructions and poses, the camera automatically takes a photo, which is then transferred to a smartphone.

[0203] Examples of the techniques used in this process are listed below:

[0204] Hardware:

[0205] High-resolution cameras for autonomous vehicles

[0206] Smartphones and tablets

[0207] GPU-equipped servers

[0208] Autonomous vehicle infotainment systems

[0209] software:

[0210] Camera control application

[0211] Cloud server for image analysis (AWS, GCP, etc.)

[0212] Influencer Photo Database

[0213] GUI apps for terminals and infotainment systems

[0214] Examples and prompts:

[0215] As a concrete example, imagine three friends traveling in a self-driving car. As they approach a tourist attraction, the infotainment system displays photo suggestions. The camera then suggests the best pose and angle, prompting the passengers to follow the instructions.

[0216] Example prompt sentence:

[0217] Generate souvenir photo suggestions for tourist spots based on the following criteria:

[0218] 1. Number of people: 3

[0219] 2. Location: Park

[0220] 3. Current natural light condition: Bright

[0221] 4. Suggestion: Pose, angle, background elements

[0222] For example: The best pose for a three-person group is a diagonal shot with the middle person in front, with a fountain as the background element, and an angle that takes advantage of natural light.

[0223] Using this system, users can easily and automatically take professional-quality commemorative photos at tourist spots.

[0224] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0225] Step 1:

[0226] The device launches the camera application, initializes the camera, and displays the live view. At this time, the input to the device is the user's operation (launching the application), and the output is the live view display. This process initializes the camera device and displays real-time video.

[0227] Step 2:

[0228] When a user presses the shutter button, the device captures the current image frame and sends it to the server. The input is the captured image frame, and the output is the transmission of image data to the server. Specifically, the image data taken by the camera is uploaded to the server via the device's network interface.

[0229] Step 3:

[0230] The server analyzes the received images to identify the number of people, their location, and the brightness. The input is the image data sent from the device, and the output is the analysis results. AI technology is used for the analysis, and facial recognition and background analysis are performed to extract the number of people in the image, their location, and the ambient lighting conditions.

[0231] Step 4:

[0232] The server then references the influencer's photo database based on the analysis results to generate the optimal angle of view, pose, and lighting. The input to this step is the analysis results, and the output is the generated proposal (angle of view, pose, lighting). The server then searches the database for similar situations and selects the optimal shooting settings.

[0233] Step 5:

[0234] The server sends the generated proposal to the terminal. The input is the shooting proposal generated by the server, and the output is the transmission of the proposal data to the terminal. Specifically, the server sends the proposal content back to the terminal via the network.

[0235] Step 6:

[0236] The terminal displays the suggestions from the server to the user. The input is the suggestion data received from the server, and the output is guidelines or instructions displayed on the terminal's screen. Specifically, the terminal displays graphical guidelines or text instructions on the screen.

[0237] Step 7:

[0238] The user poses according to the displayed suggestions. The input is the instructions displayed on the device, and the output is the user's posing action. In this step, the user adjusts their position and pose according to the presented guidelines.

[0239] Step 8:

[0240] The device monitors the user's pose in real time and displays additional instructions as needed. The input is a live camera feed, and the output is feedback on whether the pose is correct. If not, the device displays further instructions.

[0241] Step 9:

[0242] The device automatically takes a photo when the appropriate pose is taken. The input is the confirmation result of the appropriate pose, and the output is the captured photo data. The device automatically releases the shutter when certain conditions are met.

[0243] Step 10:

[0244] Using the camera and infotainment system installed in the autonomous vehicle, photos are automatically taken near tourist spots. The input is the location information of the tourist spot, and the output is the automatically taken photo. The infotainment system notifies the passenger, and the camera is activated at the optimal time to take the photo.

[0245] In this way, users can easily take professional-quality souvenir photos at tourist spots without having any special skills.

[0246] 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.

[0247] In accordance with an embodiment of the present invention, a system is provided that allows a user to easily take beautiful commemorative photos when traveling or gathering with friends. The system includes a user, a terminal, a server, and an emotion engine.

[0248] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[0249] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[0250] The system also incorporates an emotion engine that analyzes the user's facial expressions to recognize their emotions. The emotion engine analyzes the user's facial expressions in real time from camera footage and identifies emotions such as joy, sadness, and surprise. This emotional data is reflected in the suggestions generated by the server, which adjusts the pose and lighting to suit the user's emotions.

[0251] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[0252] Once the appropriate pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later. The emotion engine also provides real-time feedback on the pose based on the user's emotions, helping users maintain a natural facial expression while taking photos.

[0253] Let's use a concrete example to explain this. Imagine three friends trying to take a photo in a park. In this case, when the user launches the camera app and presses the shutter button, the device sends the image frame to the server, which analyzes it. The server takes into account the park background, the number of people, and appropriate natural lighting conditions, and generates suggestions such as "the three people should stand diagonally," "the person in the middle should be in front," and "there should be a fountain in the background." The device displays these suggestions to the user, who then poses according to the instructions. After the device confirms the pose, it takes and saves the photo.

[0254] Furthermore, the emotion engine analyzes users' facial expressions, and if one person looks nervous, it gives them instructions to relax, bringing out a natural expression. In this way, the introduction of the emotion engine allows users to easily take professional-quality photos without having special photography skills.

[0255] The processing flow will be explained below.

[0256] Step 1:

[0257] The user launches the app. The user taps the icon on the screen of their smartphone or tablet to launch the camera application.

[0258] Step 2:

[0259] The device initializes the camera and displays the live view. The device initializes the camera device and displays the camera image in real time on the device screen.

[0260] Step 3:

[0261] The user presses the shutter button. The user taps the shutter button on the device screen to start taking a picture.

[0262] Step 4:

[0263] The device captures the current image frame and sends it to the server. The device captures the current frame captured by the camera as image data and sends it to the server via the Internet.

[0264] Step 5:

[0265] The server receives the images and performs analysis. The server analyzes the received image data to obtain information such as the number of people, location, and brightness. This includes facial recognition, background analysis, and light measurement.

[0266] Step 6:

[0267] The server analyzes the user's emotions using an emotion engine. The server analyzes the user's facial expressions in the image frame in real time and recognizes emotions such as joy, sadness, and surprise.

[0268] Step 7:

[0269] The server generates optimal suggestions based on the analysis results. The server references the influencer's photo database and generates optimal suggestions for angle of view, posing, and lighting based on the acquired information and the user's emotional data.

[0270] Step 8:

[0271] The server sends the proposal to the terminal. The server then sends the generated proposal to the terminal via the Internet.

[0272] Step 9:

[0273] The device displays the suggestions to the user. The device visually displays the received suggestions on the screen, providing guidelines and posing instructions to the user.

[0274] Step 10:

[0275] The user poses according to the displayed suggestions. The user follows the guidelines displayed on the device and adjusts their position and posture to achieve an appropriate pose.

[0276] Step 11:

[0277] The device checks the pose and provides additional instructions if necessary. The device analyzes the camera footage in real time, checks whether the user's pose is as suggested, and displays additional instructions on the screen if necessary.

[0278] Step 12:

[0279] The device uses an emotion engine to recheck the user's facial expression, and if the user's emotions are not stable, the device will provide additional instructions to help them relax.

[0280] Step 13:

[0281] The device will take a photo when the appropriate pose and facial expression are achieved. Once the appropriate pose and facial expression are confirmed, the device will automatically take a photo and save the image to the device's storage.

[0282] By following these steps, users can easily take professional-quality photos. The introduction of the emotion engine also preserves the user's natural facial expressions, resulting in better photos.

[0283] Example 2

[0284] 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."

[0285] It is necessary to provide a system that allows users to easily take beautiful commemorative photos when traveling or gathering with friends, even if they do not have special photography skills. Furthermore, it is necessary to provide a system that not only takes photos but also produces natural, professional-quality photos that reflect the user's emotions. This will enable users to obtain more satisfying photos.

[0286] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for analyzing received images to acquire the number of people, location, and brightness, a means for generating optimal angle of view, posing, and lighting control based on the analysis results, and a means for transmitting the generated suggestions to the terminal. This allows users to easily take beautiful commemorative photos without having special photography skills. In addition, an emotion engine is used to analyze the user's facial expression and recognize their emotions, and the optimal lighting and posing can be automatically adjusted according to the user's emotions, thereby enabling the capture of a photo with a natural expression that reflects the user's emotions.

[0287] "User" refers to a person who uses the system to take commemorative photos.

[0288] A "terminal" is a device that is directly operated by a user, and includes smartphones and tablets equipped with camera and communication functions.

[0289] "Means for initializing the camera and displaying a live view" refers to the function of activating the device's camera module and displaying the subject being photographed on the screen in real time.

[0290] "Means for capturing image frames and transmitting them to a server" refers to the function of the terminal to take an image when the shutter button is pressed and transmit the image data to a server.

[0291] "Server" refers to a central processing unit that analyzes received image data, obtains necessary information, and generates suggestions.

[0292] "Means for acquiring the number of people, location, and brightness" refers to the function of analyzing the image data received by the server and identifying the number of people in the image, the location where the image was taken, and the brightness at the time of the image being taken.

[0293] "Means for generating optimal angle of view, pose, and lighting" refers to a function in which the server suggests optimal shooting angle, pose, and lighting adjustments based on the results of image analysis.

[0294] The "means for transmitting the generated proposal to the terminal" refers to a function for transmitting the photography proposal generated by the server to the terminal.

[0295] The "means for displaying the proposal to the user" refers to a function for the terminal to display the proposal received from the server on the screen and visually present it to the user.

[0296] "Means of taking a pose" refers to the user physically taking the suggested pose by following the guidelines and instructions displayed on the device screen.

[0297] "Means for checking the pose and providing additional instructions as necessary" refers to the function of the device checking the video in real time, checking whether the user is taking the correct pose, and displaying additional instructions if necessary.

[0298] "Means for taking a photo when the appropriate pose has been taken" refers to a function that automatically takes a photo after confirming that the user has taken the correct pose.

[0299] "Emotion engine" refers to software or hardware functionality for analyzing a user's facial expressions and recognizing their emotional state.

[0300] "Means for adjusting poses and dimming according to the user's emotions" refers to a function that optimizes suggested poses and dimming based on the user's emotional data analyzed by the emotion engine.

[0301] In accordance with an embodiment of the present invention, a system is provided that enables users to easily take beautiful commemorative photos when traveling or gathering with friends. The system mainly includes a user, a terminal, a server, and an emotion engine.

[0302] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. Then, when the user presses the shutter button, the device captures the current image frame and sends it to the server. The server analyzes the received image and uses facial recognition technology and image analysis algorithms to obtain information such as the number of people, location, and brightness. Specifically, OpenCV and Dlib can be used for facial recognition, and TensorFlow can be used for image analysis.

[0303] Based on the analysis results, the server will suggest the best angle, pose, and lighting by referring to a photo database of influencers. For example, this database could use professional photos collected in advance from a photo sharing service.

[0304] Furthermore, the system is equipped with an emotion engine that analyzes the user's facial expressions in real time and recognizes their emotions. Specific technologies include Azure Emotion API and Google Cloud Vision API. The emotion data extracted by the emotion engine is also reflected in the suggestions generated by the server. This enables optimal posing and adjustment of lighting according to the user's emotions.

[0305] The server-generated suggestions are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. As the user poses according to the guidelines, the device monitors the video in real time to confirm whether the pose is appropriate and displays additional instructions if necessary.

[0306] Once the appropriate pose is achieved, the device will automatically take a photo and save it to the device's storage. After taking the photo, the user can review the photo and share it if desired. The emotion engine also provides real-time feedback to help users maintain a natural facial expression while taking the photo.

[0307] As a concrete example, imagine three friends wanting to take a photo in a park. When the user launches the camera app and presses the shutter button, the device sends the image frame to the server, which analyzes that the park is in the background, there are three friends, and the natural light is appropriate. The server generates specific suggestions, such as "the three people should stand diagonally," "the person in the middle should be in front," and "a fountain should be included in the background," and sends them to the device. The device displays these suggestions to the user, who then poses according to the instructions. After confirming the appropriate pose, the device automatically takes and saves the photo.

[0308] If the emotion engine detects that a user is nervous, it will display instructions to encourage the user to relax and bring out a natural expression. For example, it could say, "Take a deep breath and relax." In this way, by incorporating the emotion engine, users can easily obtain professional-quality photos without any special skills.

[0309] Examples of prompt sentences that can be used include the following:

[0310] "A user wants to take a photo with their friends in the park. There are three friends. Suggest the best pose and lighting based on a database of influencer photos. Also provide feedback based on the user's emotions."

[0311] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0312] System program processing flow

[0313] Step 1

[0314] The user launches the camera app

[0315] Specific operation: The user taps the "Memorial Photo App" from the home screen of their smartphone or tablet to launch it.

[0316] Input: A user taps on an app.

[0317] Output: The camera application is launched and the initial screen is displayed.

[0318] Step 2

[0319] The device initializes the camera and displays the live view.

[0320] Specific operation: The device initializes the camera module and the subject being photographed is displayed in real time on the app screen.

[0321] Input: App launch signal.

[0322] Output: The camera is initialized and a live view is displayed to the user.

[0323] Step 3

[0324] The user presses the shutter

[0325] Specific operation: When the user taps the shutter button on the app screen, a shutter sound will be heard and image capture will begin.

[0326] Input: The user presses the shutter button.

[0327] Output: The signal that signals image capture.

[0328] Step 4

[0329] The device captures the image and sends it to the server

[0330] What it does: The device captures high-resolution JPEG images and uploads them to a cloud server using Wi-Fi or a 4G / 5G network.

[0331] Input: A signal from the camera module indicating that the user has pressed the shutter button.

[0332] Output: Captured image data, HTTP POST request sent to the server.

[0333] Step 5

[0334] The server analyzes the image

[0335] How it works: The server receives the images and uses facial recognition technology (e.g., OpenCV or Dlib) and image analysis algorithms (e.g., TensorFlow) to identify the number of people, their location, and the lighting.

[0336] Input: Image data sent from the device.

[0337] Output: Analysis results (number of people, location, and brightness information).

[0338] Step 6

[0339] Server generates photo suggestions

[0340] Specific operation: Based on the analysis results, the server suggests the optimal angle of view, posing, and lighting, referring to the influencer's photo database (e.g., obtained from a photo sharing service).

[0341] Input: Analysis results, influencer photo database.

[0342] Output: Proposal data including optimal angle of view, posing, and lighting.

[0343] Step 7

[0344] The server sends the proposal to the device.

[0345] Specific operation: The server generates a proposal and sends it to the device using an HTTP POST request.

[0346] Input: Proposal data.

[0347] Output: The proposal data sent to the device.

[0348] Step 8

[0349] The device displays guidelines to the user

[0350] Specific operation: Based on the suggestions received by the device, guidelines and instructions are displayed on the screen, providing a visual presentation to the user.

[0351] Input: Proposal data received from the server.

[0352] Output: Guidelines and instructions that appear on the screen.

[0353] Step 9

[0354] The user follows the instructions to pose

[0355] Specific actions: The user follows the on-screen guidelines and takes and adjusts the suggested pose.

[0356] Input: Guidelines and instructions displayed on the screen.

[0357] Output: The pose the user has taken.

[0358] Step 10

[0359] The device will check the pause and provide additional instructions if necessary.

[0360] How it works: The device checks the video in real time to ensure the user is taking the correct pose, and if not, displays additional instructions.

[0361] Input: Real-time video data.

[0362] Output: Further instructions (if needed).

[0363] Step 11

[0364] The device automatically takes and saves photos

[0365] Specific operation: After confirming that the appropriate pose has been achieved, the device will automatically take a photo and save the JPEG file to the internal storage.

[0366] Input: Pose check results.

[0367] Output: Captured photo data, JPEG files saved to storage.

[0368] Step 12

[0369] Users can view and share photos

[0370] Specific operation: After taking a photo, the user checks the photo on the preview screen that appears, and then taps the "Share" button within the app to share the photo via social media or email.

[0371] Input: The captured photo data.

[0372] Output: Photo preview screen, sharing via social media and email.

[0373] (Application example 2)

[0374] 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."

[0375] Today's consumers lack the means to easily take professional photos themselves, especially in brick-and-mortar stores like fashion and photo studios. This means that if customers want a special photoshoot, they need professional assistance, which incurs time and financial costs. Furthermore, real-time feedback on how to elicit natural facial expressions is rarely provided, making it difficult for customers to obtain satisfactory photos. Therefore, there is a need for a system that allows anyone to easily take high-quality photos.

[0376] 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 means for analyzing the user's facial expression and recognizing the emotional state, means for suggesting optimal posing and lighting control according to the emotional state, and means for referencing a reference database and generating optimal suggestions. This enables users to take professional-quality photos without requiring special skills.

[0377] "Initializing the camera" means activating the device's camera function and setting it up so that live view can be displayed.

[0378] "Displaying a live view" means displaying the image captured by the camera on the device screen in real time.

[0379] "Capturing an image frame" means recording video data at a particular moment in time.

[0380] "Transmitting to a server" means sending data from a terminal to a server via the Internet or other communication means.

[0381] "Analyzing" means analyzing the transmitted data using a program and extracting necessary information from it.

[0382] "Obtaining the number of people" means identifying the number of people present in the image frame.

[0383] "Obtaining a location" means analyzing and identifying the background and environment of a captured image.

[0384] "Acquiring brightness" means measuring the lighting conditions and light intensity of the captured image.

[0385] "Generating an angle of view" means determining the optimum shooting range and camera angle for shooting.

[0386] "Generating a pose" means determining the optimal pose for the subject to take.

[0387] "Generating dimming" means determining settings that optimize lighting and brightness during shooting.

[0388] "Analyzing facial expressions" means analyzing the facial expressions of a subject from image data and identifying their emotional state.

[0389] "Recognizing emotional states" means identifying the subject's emotions from analyzed facial expression data.

[0390] "Suggesting optimal poses and lighting conditions" means suggesting the pose and lighting conditions that the subject should take based on the acquired emotional state.

[0391] A "reference database" is a database that stores information useful for photography and past data.

[0392] "Confirming the pose" means checking in real time whether the pose taken by the user conforms to the suggestion.

[0393] "Providing additional instructions" means giving instructions for further adjustments or improvements based on the results of checking the pose.

[0394] The present invention is a system that allows users to easily take beautiful commemorative photographs, and is implemented in the following manner.

[0395] The system includes devices such as smartphones and tablets, a cloud-based server, and an emotion engine.

[0396] Overall program explanation

[0397] The server analyzes the received images, recognizes facial expressions, and analyzes emotions, and the device displays instructions from the server to the user. It also checks the user's pose in real time and automatically takes a photo when the user has struck an appropriate pose.

[0398] Hardware

[0399] The main hardware used is as follows:

[0400] Smartphones and tablets (cameras and display devices)

[0401] Cloud server (data processing)

[0402] Mirror display screen (optional)

[0403] software

[0404] The main software and technologies are as follows:

[0405] OpenCV: Image processing library

[0406] EmotionEngine: Custom Emotion Analysis Models

[0407] PhotoGuidanceSystem: A system that suggests optimal posing and lighting

[0408] Processing flow

[0409] 1. Camera initialization and live view display

[0410] When a user launches the application, the device's camera is initialized and a live view is displayed, which shows the camera image on the screen in real time.

[0411] 2. Capturing image frames and sending them to the server

[0412] When the user presses the shutter button, the current image frame is captured and sent to a server, using a communication method such as the Internet.

[0413] 3. Image analysis by the server

[0414] The server analyzes the received images to obtain information such as the number of people, location, and lighting, and identifies this information using facial recognition technology and background analysis algorithms.

[0415] 4. Facial Expression Analysis Using an Emotion Engine

[0416] The emotion engine then analyzes the user's facial expressions to identify emotions such as happiness, sadness, surprise, etc. This data is sent to the server and reflected in the analysis results.

[0417] 5. Generate and submit a proposal

[0418] The server generates optimal angle of view, pose, and lighting based on the analysis results, and reflects the emotional data. This is done using a reference database. The generated suggestions are sent to the device.

[0419] 6. View suggestions and confirm poses

[0420] The device displays the suggestions from the server to the user, and when the user follows the instructions and poses, the device checks the pose in real time and provides additional instructions as needed.

[0421] 7. Automatic photo capture

[0422] Once the appropriate pose is achieved, the device will automatically take a photo, which will then be automatically saved to the device's storage.

[0423] Specific examples

[0424] For example, if a customer at a clothing store wants to take a professional photo after trying on a new outfit, the following steps are taken:

[0425] The customer places their smartphone on the camera stand and launches the app.

[0426] The background and lighting are optimized and guidelines are displayed.

[0427] The customer follows the guidelines displayed and poses.

[0428] It analyzes your facial expressions and provides feedback to help you achieve a relaxed, natural look.

[0429] Once you've followed the instructions and struck a pose, the device will automatically take the picture.

[0430] Prompt Sentence Examples

[0431] "Create a system that provides optimal suggestions and displays guidelines so that customers wearing new clothes can take professional snapshots of themselves. Include a function that analyzes the customer's facial expressions and poses in real time and displays the most appropriate advice."

[0432] In this way, even users without special photography skills can easily obtain professional quality photographs.

[0433] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0434] Step 1:

[0435] The user launches the application on their smartphone or tablet. The camera is initialized and a live view is displayed on the device screen.

[0436] Input: User-initiated application launch

[0437] Output: Live View display

[0438] Specific operation: The application initializes the camera function, displays the camera image on the screen in real time, and starts the camera stream using OpenCV.

[0439] Step 2:

[0440] When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[0441] Input: User presses the shutter button

[0442] Output: Captured image frames and sending to server

[0443] Specific operation: Captures image frames from the camera stream and sends the image data to the server via an HTTP request.

[0444] Step 3:

[0445] The server analyzes the received images and obtains information such as the number of people, location, and brightness.

[0446] Input: Captured image frames

[0447] Output: Analysis results (number of people, location, brightness, etc.)

[0448] Specific operation: The server uses OpenCV to perform face recognition and identify the number of people. It also performs background analysis and brightness analysis to obtain the location and lighting conditions.

[0449] Step 4:

[0450] The server uses an emotion engine to analyze the user's facial expressions and recognize their emotional state.

[0451] Input: Captured image frames

[0452] Output: Emotion data (happiness, sadness, surprise, etc.)

[0453] What it does: The emotion engine applies facial expression recognition algorithms to identify the emotional state of faces in an image, which involves analyzing facial muscle movements.

[0454] Step 5:

[0455] The server generates the optimal angle of view, pose, and lighting based on the analysis results and emotional data, and sends this to the device.

[0456] Input: Analysis results and emotion data

[0457] Output: Recommendations for optimal angle of view, posing, and dimming

[0458] Specific operation: The server references a reference database and generates optimal shooting conditions based on similar past cases. It then uses a generative AI model to form optimal suggestions for each individual user and sends them to the device.

[0459] Step 6:

[0460] The terminal displays the suggestions from the server to the user, who then poses according to the suggestions.

[0461] Input: Proposal data from the server

[0462] Output: Guidelines and instructions that are displayed to the user

[0463] Specific operation: Guidelines regarding the angle of view, posing, and dimming are superimposed on the device screen, and instructions are given to the user.

[0464] Step 7:

[0465] The device checks the user's pose in real time and provides additional instructions as needed.

[0466] Input: Video of the user's current pose

[0467] Output: Further instructions or feedback

[0468] Specific operation: Real-time video analysis is performed using OpenCV to check whether the user's pose matches the suggestions, and if not, additional instructions are displayed on the screen.

[0469] Step 8:

[0470] Once the appropriate pose is achieved, the device will automatically take a photo, which will then be automatically saved to the device's storage.

[0471] Input: Pose analysis results from real-time video

[0472] Output: Saved photos

[0473] How it works: Once the optimal pose is confirmed, the device will automatically take a picture and save it to its internal storage.

[0474] This allows users to easily obtain professional quality photos without requiring any special skills.

[0475] 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.

[0476] 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.

[0477] 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.

[0478] [Second embodiment]

[0479] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0480] 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.

[0481] 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).

[0482] 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.

[0483] 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.

[0484] 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).

[0485] 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.

[0486] 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.

[0487] 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.

[0488] 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.

[0489] 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.

[0490] 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."

[0491] In accordance with an embodiment of the present invention, a system is provided that allows a user to easily take beautiful commemorative photos when traveling or gathering with friends. The system includes a user, a terminal, and a server.

[0492] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[0493] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[0494] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[0495] Once the right pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later.

[0496] Let's explain this with a concrete example. Imagine three friends wanting to take a photo in a park. In this case, the user launches the camera app and presses the shutter button. The device sends the image frame to the server, which analyzes it. The server takes into account the park background, the number of people, and appropriate natural lighting conditions, and generates suggestions such as "the three people should stand diagonally," "the person in the middle should be in front," and "include a fountain in the background." The device displays these suggestions to the user, who then poses according to the instructions. After the device confirms the pose, it takes and saves the photo.

[0497] This system allows users to easily obtain professional quality photos without having special photography skills.

[0498] The processing flow will be explained below.

[0499] Step 1:

[0500] The user launches the app. The user taps the icon on the screen of their smartphone or tablet to launch the camera application.

[0501] Step 2:

[0502] The device initializes the camera and displays the live view. The device initializes the camera device and displays the camera image in real time on the device screen.

[0503] Step 3:

[0504] The user presses the shutter button. The user taps the shutter button on the device screen to start taking a picture.

[0505] Step 4:

[0506] The device captures the current image frame and sends it to the server. The device captures the current frame captured by the camera as image data and sends it to the server via the Internet.

[0507] Step 5:

[0508] The server receives the images and performs analysis. The server analyzes the received image data to identify the number of people, location, brightness, etc. This includes facial recognition, background analysis, and light measurement.

[0509] Step 6:

[0510] The server generates optimal suggestions based on the analysis results. The server references the influencer's photo database and generates optimal suggestions for angle of view, posing, and lighting based on the information obtained.

[0511] Step 7:

[0512] The server sends the proposal to the terminal. The server sends the proposal generated by the server to the terminal via the Internet.

[0513] Step 8:

[0514] The device displays the suggestions to the user. The device visually displays the received suggestions on the screen, providing guidelines and posing instructions to the user.

[0515] Step 9:

[0516] The user poses according to the displayed suggestions. The user follows the guidelines displayed on the device and adjusts their position and posture to achieve an appropriate pose.

[0517] Step 10:

[0518] The device checks the pose and provides additional instructions if necessary. The device analyzes the camera footage in real time, checks whether the user's pose is as suggested, and displays additional instructions on the screen if necessary.

[0519] Step 11:

[0520] The device will take a photo when the appropriate pose is taken. Once the user has taken the appropriate pose, the device will automatically take a photo and save the image in the device's storage.

[0521] By following these steps, users can easily take professional quality photos.

[0522] Example 1

[0523] 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."

[0524] In modern photography, especially when traveling or gathering with friends, users often lack the skills and techniques to take professional-quality photos. This makes it difficult to take beautiful, memorable photos, and it is especially challenging to optimize elements such as composition, posing, and lighting.

[0525] 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.

[0526] In this invention, the server includes a means for referencing a photo database of influencers and generating optimal suggestions, a means for checking the user's pose in real time to confirm whether it is appropriate for the suggestions, and a means for saving the captured photos and allowing the user to review and share them, thereby enabling users to easily obtain professional-quality photos even without special photography skills.

[0527] "User" refers to a person who uses the system to take commemorative photos.

[0528] "Device" means a mobile device, such as a smartphone or tablet, that has a camera function and is hardware for running the System's camera application.

[0529] A "server" refers to a computer system that receives and analyzes data sent from a terminal, and is often installed in the cloud or in a remote location.

[0530] "Initializing the camera" means activating the camera function of the device and making it ready to take pictures.

[0531] "Live view" refers to the function that displays images captured by the camera on the device's display in real time.

[0532] "Image frame" refers to a still image captured by a device's camera at a particular moment in time.

[0533] "Analyzing" means that the server processes the image data received and extracts specific information (such as the number of people, location, and brightness).

[0534] "Optimal angle, posing, and lighting" refers to settings and suggestions for optimizing the shooting angle, subject pose, and lighting conditions to take beautiful commemorative photos.

[0535] "Generating suggestions" means that the server creates guidelines for the user to take beautiful photos based on the analysis results.

[0536] "Save" means recording the captured photo data in the device's internal storage or cloud storage.

[0537] "Confirming" refers to the device displaying the photograph taken to the user and asking the user to check the contents.

[0538] "Allow sharing" means providing the ability to electronically transmit stored photographs with others.

[0539] The present invention provides a system that allows users, terminals, and a server to easily take professional-quality commemorative photos when traveling or gathering with friends. Specific embodiments of the system are described below.

[0540] A user launches a camera application on a device such as a smartphone or tablet (e.g., a commonly used mobile device). The launched application automatically initializes the device's camera and displays a live view of the camera image in real time. When the user presses the shutter button, the device captures the currently displayed image frame and sends the image data to a server. Encrypted communication (e.g., SSL / TLS) is used to ensure security during transmission.

[0541] The server inputs the received image into an AI analysis engine (e.g., OpenCV or a deep learning model) and analyzes the following elements:

[0542] Recognizing the number of people (using facial recognition technology)

[0543] Identifying location

[0544] Brightness rating

[0545] Based on the analysis results, the server references a database of influencer photos and generates guidelines that suggest optimal angles, poses, and lighting. This database includes high-quality photos taken by professional photographers and influencers. The server then sends the generated guidelines to the device, which then displays them on the user interface. For example, the shooting guidelines are overlaid on the live view.

[0546] As the user follows the displayed guidelines and moves to the instructed pose or position, the device analyzes the camera's live view in real time to ensure the user is posing correctly. If necessary, it provides additional instructions to the user in real time. When the conditions are met, the device automatically takes a photo.

[0547] The device then saves the captured photos to local storage or cloud storage (e.g., iCloud, Google Photos), allowing users to view the captured photos and easily share them via social media, email, etc.

[0548] As a concrete example, consider taking a photo of three friends in a park. The user launches the camera app and presses the shutter button. The device sends the image frame to the server, which analyzes it as follows:

[0549] Identify the number of people as 3

[0550] Check the park features in the background

[0551] Evaluate natural light conditions

[0552] The server generates suggestions based on the park background, the number of people, and natural lighting conditions, such as "the three people should stand diagonally," "the person in the middle should stand in front," and "a fountain should be included in the background," and sends these suggestions to the device. The device then displays these suggestions to the user, who then follows the instructions to strike a pose. After the device confirms the pose, it automatically takes and saves a photo.

[0553] The following is an example of a prompt that the user would enter into the system:

[0554] "I'd like to take a photo with my friends in the park. We'd like to stand diagonally across from each other, with the middle person posing slightly forward and with a fountain in the background. Can you guide me through taking this kind of photo?"

[0555] This system allows users to easily obtain professional quality photos without having special photography skills.

[0556] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0557] Step 1:

[0558] The user launches the camera application.

[0559] Specifically, a user taps the app on their smartphone or tablet to launch it, which causes the device to internally initialize the camera module and prepare for displaying the live view.

[0560] Input: User action (tapping on the app)

[0561] Output: App launch, camera initialization

[0562] Step 2:

[0563] The device will initialize the camera and display the live view.

[0564] The device initializes its internal sensors and camera module, preparing the display to display the real-time video stream, and then displays the live view on the user's screen.

[0565] Input: App launch instruction

[0566] Output: Live View display

[0567] Step 3:

[0568] The user presses the shutter button.

[0569] The user taps the shutter button in the app's interface to initiate image capture.

[0570] Input: User action (tapping the shutter button)

[0571] Output: Shutter event occurs

[0572] Step 4:

[0573] The device captures the image frame.

[0574] The device will capture an image from the current live view and prepare it to be saved as a still image, generating image data that captures a specific moment in time.

[0575] Input: shutter event

[0576] Output: Image data (still image)

[0577] Step 5:

[0578] The device sends the captured image to the server.

[0579] The device sends the acquired image data to the server using a digital communication method (e.g., internet, mobile data). The communication is secured using encryption protocols such as SSL / TLS.

[0580] Input: Image data

[0581] Output: Sending event, sending image data to the server

[0582] Step 6:

[0583] The server analyzes the image.

[0584] The server uses an AI analysis engine (e.g., OpenCV, deep learning model, etc.) to analyze the received images and obtain the number of people, location, and brightness. Specifically, it identifies the number of people using facial recognition technology and analyzes background information and lighting conditions.

[0585] Input: Received image data

[0586] Output: Analysis result data (number of people, location, brightness information)

[0587] Step 7:

[0588] The server generates optimal suggestions based on the analysis results.

[0589] The server references the influencer's photo database and generates guidelines that suggest optimal angles, poses, and lighting based on the analysis results.

[0590] Input: Analysis result data

[0591] Output: Shooting guideline proposal

[0592] Step 8:

[0593] The server sends the proposal to the device.

[0594] The server transmits the generated shooting guidelines to the terminal as response data.

[0595] Input: Proposed shooting guidelines

[0596] Output: Send guideline data

[0597] Step 9:

[0598] The terminal displays the suggestions to the user.

[0599] The device overlays the received guidelines on the live view, providing a visual representation to the user.

[0600] Input: Guideline data

[0601] Output: Guideline display on live view

[0602] Step 10:

[0603] The user poses according to the suggestions.

[0604] The user follows the guidelines displayed on the device and assumes the specified pose and position.

[0605] Input: Guideline display on live view

[0606] Output: User pose

[0607] Step 11:

[0608] The terminal checks the video in real time and gives additional instructions.

[0609] The device analyzes the camera's live view in real time to ensure the user is posing correctly, and displays additional instructions if necessary.

[0610] Input: Live View video

[0611] Output: Additional instructions

[0612] Step 12:

[0613] The device will automatically take a photo at the appropriate time.

[0614] The device will automatically take a photo when it determines that the conditions are right.

[0615] Input: Confirmed pose

[0616] Output: The captured photo

[0617] Step 13:

[0618] The device saves the photo.

[0619] The device will save the photos you take to its internal storage or cloud storage.

[0620] Input: Photo taken

[0621] Output: Save event

[0622] Step 14:

[0623] Users view and share photos.

[0624] Users can view the photos saved within the app and share them via social media, email, etc.

[0625] Input: Saved Photos

[0626] Output: Confirmation and sharing events

[0627] (Application example 1)

[0628] 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."

[0629] In conventional tourism, users often need camera skills and knowledge of poses to take attractive commemorative photos, and it can be difficult to instantly take a suitable photo, especially at tourist spots. In addition, users have to take time and effort to take photos, or ask for someone to take the photo for them, which can make the trip less comfortable.

[0630] 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.

[0631] In this invention, the server includes means for a user to start the server, means for the terminal to initialize the camera and display a live view, means for the terminal to capture image frames and send them to the server, means for the server to analyze the received images and acquire the number of people, location, and brightness, means for the server to generate optimal angle of view, poses, and lighting control based on the analysis results, means for the server to send the generated suggestions to the terminal, means for the terminal to display the suggestions from the server to the user, means for the user to pose according to the displayed suggestions, means for the terminal to confirm the pose and issue additional instructions as necessary, means for the terminal to take a photo when an appropriate pose has been taken, and means for the terminal to automatically take photos near tourist spots using the camera and infotainment system installed in the autonomous vehicle. This enables users to easily and automatically take professional-quality commemorative photos at tourist spots without any special skills.

[0632] "User" refers to an individual who uses the system to take photographs.

[0633] "Terminal" refers to an electronic device, such as a smartphone or tablet, that a user possesses and that is used to initialize the camera and display the live view.

[0634] "Server" refers to a remote computer system that has the computing power to receive images sent from a user's terminal, perform analysis, generate optimal suggestions, and send them to the user.

[0635] An "image frame" refers to the data of a momentary still image captured by a camera.

[0636] "Live view" refers to a function that allows you to check the images captured by the camera in real time on your device.

[0637] "Analysis" refers to the process of extracting information contained in an image frame and identifying features such as number of people, location, and lighting.

[0638] "Angle of view" refers to the setting that determines the range included in the camera's field of view.

[0639] "Posing" refers to the pose or positioning of the subject in a photograph.

[0640] "Dimming" refers to the process of adjusting the amount and direction of light depending on the conditions under which a photograph is taken.

[0641] "Suggestion" refers to specific instructions for the user regarding posing, angle of view, and lighting that are generated by the server based on the results of image analysis.

[0642] "Infotainment system" means a system for displaying and controlling information and entertainment provided in a motor vehicle.

[0643] "Autonomous vehicle" means a vehicle that is capable of driving autonomously without human operation.

[0644] A system for implementing the present invention includes an autonomous vehicle, a user terminal, and a server. Specific embodiments of this system will be described below.

[0645] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[0646] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This analysis includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[0647] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[0648] Once the right pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later.

[0649] Next, we will explain how this system can be applied to autonomous vehicles. When approaching a tourist spot, a high-resolution camera installed inside the vehicle will activate and instruct passengers on the optimal pose and position. These instructions will be displayed to passengers through the infotainment system.

[0650] When approaching a tourist spot, the autonomous vehicle's infotainment system displays a notification asking, "Would you like to take a photo at this spot?" If the passenger selects "Yes," the camera begins operating, and the AI ​​analyzes the footage and displays instructions such as, "Stand at this angle so that all three people are balanced in the frame." When the passenger follows the instructions and poses, the camera automatically takes a photo, which is then transferred to a smartphone.

[0651] Examples of the techniques used in this process are listed below:

[0652] Hardware:

[0653] High-resolution cameras for autonomous vehicles

[0654] Smartphones and tablets

[0655] GPU-equipped servers

[0656] Autonomous vehicle infotainment systems

[0657] software:

[0658] Camera control application

[0659] Cloud server for image analysis (AWS, GCP, etc.)

[0660] Influencer Photo Database

[0661] GUI apps for terminals and infotainment systems

[0662] Examples and prompts:

[0663] As a concrete example, imagine three friends traveling in a self-driving car. As they approach a tourist attraction, the infotainment system displays photo suggestions. The camera then suggests the best pose and angle, prompting the passengers to follow the instructions.

[0664] Example prompt sentence:

[0665] Generate souvenir photo suggestions for tourist spots based on the following criteria:

[0666] 1. Number of people: 3

[0667] 2. Location: Park

[0668] 3. Current natural light condition: Bright

[0669] 4. Suggestion: Pose, angle, background elements

[0670] For example: The best pose for a three-person group is a diagonal shot with the middle person in front, with a fountain as the background element, and an angle that takes advantage of natural light.

[0671] Using this system, users can easily and automatically take professional-quality commemorative photos at tourist spots.

[0672] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0673] Step 1:

[0674] The device launches the camera application, initializes the camera, and displays the live view. At this time, the input to the device is the user's operation (launching the application), and the output is the live view display. This process initializes the camera device and displays real-time video.

[0675] Step 2:

[0676] When a user presses the shutter button, the device captures the current image frame and sends it to the server. The input is the captured image frame, and the output is the transmission of image data to the server. Specifically, the image data taken by the camera is uploaded to the server via the device's network interface.

[0677] Step 3:

[0678] The server analyzes the received images to identify the number of people, their location, and the brightness. The input is the image data sent from the device, and the output is the analysis results. AI technology is used for the analysis, and facial recognition and background analysis are performed to extract the number of people in the image, their location, and the ambient lighting conditions.

[0679] Step 4:

[0680] The server then references the influencer's photo database based on the analysis results to generate the optimal angle of view, pose, and lighting. The input to this step is the analysis results, and the output is the generated proposal (angle of view, pose, lighting). The server then searches the database for similar situations and selects the optimal shooting settings.

[0681] Step 5:

[0682] The server sends the generated proposal to the terminal. The input is the shooting proposal generated by the server, and the output is the transmission of the proposal data to the terminal. Specifically, the server sends the proposal content back to the terminal via the network.

[0683] Step 6:

[0684] The terminal displays the suggestions from the server to the user. The input is the suggestion data received from the server, and the output is guidelines or instructions displayed on the terminal's screen. Specifically, the terminal displays graphical guidelines or text instructions on the screen.

[0685] Step 7:

[0686] The user poses according to the displayed suggestions. The input is the instructions displayed on the device, and the output is the user's posing action. In this step, the user adjusts their position and pose according to the presented guidelines.

[0687] Step 8:

[0688] The device monitors the user's pose in real time and displays additional instructions as needed. The input is a live camera feed, and the output is feedback on whether the pose is correct. If not, the device displays further instructions.

[0689] Step 9:

[0690] The device automatically takes a photo when the appropriate pose is taken. The input is the confirmation result of the appropriate pose, and the output is the captured photo data. The device automatically releases the shutter when certain conditions are met.

[0691] Step 10:

[0692] Using the camera and infotainment system installed in the autonomous vehicle, photos are automatically taken near tourist spots. The input is the location information of the tourist spot, and the output is the automatically taken photo. The infotainment system notifies the passenger, and the camera is activated at the optimal time to take the photo.

[0693] In this way, users can easily take professional-quality souvenir photos at tourist spots without having any special skills.

[0694] 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.

[0695] In accordance with an embodiment of the present invention, a system is provided that allows a user to easily take beautiful commemorative photos when traveling or gathering with friends. The system includes a user, a terminal, a server, and an emotion engine.

[0696] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[0697] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[0698] The system also incorporates an emotion engine that analyzes the user's facial expressions to recognize their emotions. The emotion engine analyzes the user's facial expressions in real time from camera footage and identifies emotions such as joy, sadness, and surprise. This emotional data is reflected in the suggestions generated by the server, which adjusts the pose and lighting to suit the user's emotions.

[0699] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[0700] Once the appropriate pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later. The emotion engine also provides real-time feedback on the pose based on the user's emotions, helping users maintain a natural facial expression while taking photos.

[0701] Let's use a concrete example to explain this. Imagine three friends trying to take a photo in a park. In this case, when the user launches the camera app and presses the shutter button, the device sends the image frame to the server, which analyzes it. The server takes into account the park background, the number of people, and appropriate natural lighting conditions, and generates suggestions such as "the three people should stand diagonally," "the person in the middle should be in front," and "there should be a fountain in the background." The device displays these suggestions to the user, who then poses according to the instructions. After the device confirms the pose, it takes and saves the photo.

[0702] Furthermore, the emotion engine analyzes users' facial expressions, and if one person looks nervous, it gives them instructions to relax, bringing out a natural expression. In this way, the introduction of the emotion engine allows users to easily take professional-quality photos without having special photography skills.

[0703] The processing flow will be explained below.

[0704] Step 1:

[0705] The user launches the app. The user taps the icon on the screen of their smartphone or tablet to launch the camera application.

[0706] Step 2:

[0707] The device initializes the camera and displays the live view. The device initializes the camera device and displays the camera image in real time on the device screen.

[0708] Step 3:

[0709] The user presses the shutter button. The user taps the shutter button on the device screen to start taking a picture.

[0710] Step 4:

[0711] The device captures the current image frame and sends it to the server. The device captures the current frame captured by the camera as image data and sends it to the server via the Internet.

[0712] Step 5:

[0713] The server receives the images and performs analysis. The server analyzes the received image data to obtain information such as the number of people, location, and brightness. This includes facial recognition, background analysis, and light measurement.

[0714] Step 6:

[0715] The server analyzes the user's emotions using an emotion engine. The server analyzes the user's facial expressions in the image frame in real time and recognizes emotions such as joy, sadness, and surprise.

[0716] Step 7:

[0717] The server generates optimal suggestions based on the analysis results. The server references the influencer's photo database and generates optimal suggestions for angle of view, posing, and lighting based on the acquired information and the user's emotional data.

[0718] Step 8:

[0719] The server sends the proposal to the terminal. The server then sends the generated proposal to the terminal via the Internet.

[0720] Step 9:

[0721] The device displays the suggestions to the user. The device visually displays the received suggestions on the screen, providing guidelines and posing instructions to the user.

[0722] Step 10:

[0723] The user poses according to the displayed suggestions. The user follows the guidelines displayed on the device and adjusts their position and posture to achieve an appropriate pose.

[0724] Step 11:

[0725] The device checks the pose and provides additional instructions if necessary. The device analyzes the camera footage in real time, checks whether the user's pose is as suggested, and displays additional instructions on the screen if necessary.

[0726] Step 12:

[0727] The device uses an emotion engine to recheck the user's facial expression, and if the user's emotions are not stable, the device will provide additional instructions to help them relax.

[0728] Step 13:

[0729] The device will take a photo when the appropriate pose and facial expression are achieved. Once the appropriate pose and facial expression are confirmed, the device will automatically take a photo and save the image to the device's storage.

[0730] By following these steps, users can easily take professional-quality photos. The introduction of the emotion engine also preserves the user's natural facial expressions, resulting in better photos.

[0731] Example 2

[0732] 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."

[0733] It is necessary to provide a system that allows users to easily take beautiful commemorative photos when traveling or gathering with friends, even if they do not have special photography skills. Furthermore, it is necessary to provide a system that not only takes photos but also produces natural, professional-quality photos that reflect the user's emotions. This will enable users to obtain more satisfying photos.

[0734] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for analyzing received images to acquire the number of people, location, and brightness, a means for generating optimal angle of view, posing, and lighting control based on the analysis results, and a means for transmitting the generated suggestions to the terminal. This allows users to easily take beautiful commemorative photos without having special photography skills. In addition, an emotion engine is used to analyze the user's facial expression and recognize their emotions, and the optimal lighting and posing can be automatically adjusted according to the user's emotions, thereby enabling the capture of a photo with a natural expression that reflects the user's emotions.

[0735] "User" refers to a person who uses the system to take commemorative photos.

[0736] A "terminal" is a device that is directly operated by a user, and includes smartphones and tablets equipped with camera and communication functions.

[0737] "Means for initializing the camera and displaying a live view" refers to the function of activating the device's camera module and displaying the subject being photographed on the screen in real time.

[0738] "Means for capturing image frames and transmitting them to a server" refers to the function of the terminal to take an image when the shutter button is pressed and transmit the image data to a server.

[0739] "Server" refers to a central processing unit that analyzes received image data, obtains necessary information, and generates suggestions.

[0740] "Means for acquiring the number of people, location, and brightness" refers to the function of analyzing the image data received by the server and identifying the number of people in the image, the location where the image was taken, and the brightness at the time of the image being taken.

[0741] "Means for generating optimal angle of view, pose, and lighting" refers to a function in which the server suggests optimal shooting angle, pose, and lighting adjustments based on the results of image analysis.

[0742] The "means for transmitting the generated proposal to the terminal" refers to a function for transmitting the photography proposal generated by the server to the terminal.

[0743] The "means for displaying the proposal to the user" refers to a function for the terminal to display the proposal received from the server on the screen and visually present it to the user.

[0744] "Means of taking a pose" refers to the user physically taking the suggested pose by following the guidelines and instructions displayed on the device screen.

[0745] "Means for checking the pose and providing additional instructions as necessary" refers to the function of the device checking the video in real time, checking whether the user is taking the correct pose, and displaying additional instructions if necessary.

[0746] "Means for taking a photo when the appropriate pose has been taken" refers to a function that automatically takes a photo after confirming that the user has taken the correct pose.

[0747] "Emotion engine" refers to software or hardware functionality for analyzing a user's facial expressions and recognizing their emotional state.

[0748] "Means for adjusting poses and dimming according to the user's emotions" refers to a function that optimizes suggested poses and dimming based on the user's emotional data analyzed by the emotion engine.

[0749] In accordance with an embodiment of the present invention, a system is provided that enables users to easily take beautiful commemorative photos when traveling or gathering with friends. The system mainly includes a user, a terminal, a server, and an emotion engine.

[0750] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. Then, when the user presses the shutter button, the device captures the current image frame and sends it to the server. The server analyzes the received image and uses facial recognition technology and image analysis algorithms to obtain information such as the number of people, location, and brightness. Specifically, OpenCV and Dlib can be used for facial recognition, and TensorFlow can be used for image analysis.

[0751] Based on the analysis results, the server will suggest the best angle, pose, and lighting by referring to a photo database of influencers. For example, this database could use professional photos collected in advance from a photo sharing service.

[0752] Furthermore, the system is equipped with an emotion engine that analyzes the user's facial expressions in real time and recognizes their emotions. Specific technologies include Azure Emotion API and Google Cloud Vision API. The emotion data extracted by the emotion engine is also reflected in the suggestions generated by the server. This enables optimal posing and adjustment of lighting according to the user's emotions.

[0753] The server-generated suggestions are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. As the user poses according to the guidelines, the device monitors the video in real time to confirm whether the pose is appropriate and displays additional instructions if necessary.

[0754] Once the appropriate pose is achieved, the device will automatically take a photo and save it to the device's storage. After taking the photo, the user can review the photo and share it if desired. The emotion engine also provides real-time feedback to help users maintain a natural facial expression while taking the photo.

[0755] As a concrete example, imagine three friends wanting to take a photo in a park. When the user launches the camera app and presses the shutter button, the device sends the image frame to the server, which analyzes that the park is in the background, there are three friends, and the natural light is appropriate. The server generates specific suggestions, such as "the three people should stand diagonally," "the person in the middle should be in front," and "a fountain should be included in the background," and sends them to the device. The device displays these suggestions to the user, who then poses according to the instructions. After confirming the appropriate pose, the device automatically takes and saves the photo.

[0756] If the emotion engine detects that a user is nervous, it will display instructions to encourage the user to relax and bring out a natural expression. For example, it could say, "Take a deep breath and relax." In this way, by incorporating the emotion engine, users can easily obtain professional-quality photos without any special skills.

[0757] Examples of prompt sentences that can be used include the following:

[0758] "A user wants to take a photo with their friends in the park. There are three friends. Suggest the best pose and lighting based on a database of influencer photos. Also provide feedback based on the user's emotions."

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

[0760] System program processing flow

[0761] Step 1

[0762] The user launches the camera app

[0763] Specific operation: The user taps the "Memorial Photo App" from the home screen of their smartphone or tablet to launch it.

[0764] Input: A user taps on an app.

[0765] Output: The camera application is launched and the initial screen is displayed.

[0766] Step 2

[0767] The device initializes the camera and displays the live view.

[0768] Specific operation: The device initializes the camera module and the subject being photographed is displayed in real time on the app screen.

[0769] Input: App launch signal.

[0770] Output: The camera is initialized and a live view is displayed to the user.

[0771] Step 3

[0772] The user presses the shutter

[0773] Specific operation: When the user taps the shutter button on the app screen, a shutter sound will be heard and image capture will begin.

[0774] Input: The user presses the shutter button.

[0775] Output: The signal that signals image capture.

[0776] Step 4

[0777] The device captures the image and sends it to the server

[0778] What it does: The device captures high-resolution JPEG images and uploads them to a cloud server using Wi-Fi or a 4G / 5G network.

[0779] Input: A signal from the camera module indicating that the user has pressed the shutter button.

[0780] Output: Captured image data, HTTP POST request sent to the server.

[0781] Step 5

[0782] The server analyzes the image

[0783] How it works: The server receives the images and uses facial recognition technology (e.g., OpenCV or Dlib) and image analysis algorithms (e.g., TensorFlow) to identify the number of people, their location, and the lighting.

[0784] Input: Image data sent from the device.

[0785] Output: Analysis results (number of people, location, and brightness information).

[0786] Step 6

[0787] Server generates photo suggestions

[0788] Specific operation: Based on the analysis results, the server suggests the optimal angle of view, posing, and lighting, referring to the influencer's photo database (e.g., obtained from a photo sharing service).

[0789] Input: Analysis results, influencer photo database.

[0790] Output: Proposal data including optimal angle of view, posing, and lighting.

[0791] Step 7

[0792] The server sends the proposal to the device.

[0793] Specific operation: The server generates a proposal and sends it to the device using an HTTP POST request.

[0794] Input: Proposal data.

[0795] Output: The proposal data sent to the device.

[0796] Step 8

[0797] The device displays guidelines to the user

[0798] Specific operation: Based on the suggestions received by the device, guidelines and instructions are displayed on the screen, providing a visual presentation to the user.

[0799] Input: Proposal data received from the server.

[0800] Output: Guidelines and instructions that appear on the screen.

[0801] Step 9

[0802] The user follows the instructions to pose

[0803] Specific actions: The user follows the on-screen guidelines and takes and adjusts the suggested pose.

[0804] Input: Guidelines and instructions displayed on the screen.

[0805] Output: The pose the user has taken.

[0806] Step 10

[0807] The device will check the pause and provide additional instructions if necessary.

[0808] How it works: The device checks the video in real time to ensure the user is taking the correct pose, and if not, displays additional instructions.

[0809] Input: Real-time video data.

[0810] Output: Further instructions (if needed).

[0811] Step 11

[0812] The device automatically takes and saves photos

[0813] Specific operation: After confirming that the appropriate pose has been achieved, the device will automatically take a photo and save the JPEG file to the internal storage.

[0814] Input: Pose check results.

[0815] Output: Captured photo data, JPEG files saved to storage.

[0816] Step 12

[0817] Users can view and share photos

[0818] Specific operation: After taking a photo, the user checks the photo on the preview screen that appears, and then taps the "Share" button within the app to share the photo via social media or email.

[0819] Input: The captured photo data.

[0820] Output: Photo preview screen, sharing via social media and email.

[0821] (Application example 2)

[0822] 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."

[0823] Today's consumers lack the means to easily take professional photos themselves, especially in brick-and-mortar stores like fashion and photo studios. This means that if customers want a special photoshoot, they need professional assistance, which incurs time and financial costs. Furthermore, real-time feedback on how to elicit natural facial expressions is rarely provided, making it difficult for customers to obtain satisfactory photos. Therefore, there is a need for a system that allows anyone to easily take high-quality photos.

[0824] 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 means for analyzing the user's facial expression and recognizing the emotional state, means for suggesting optimal posing and lighting control according to the emotional state, and means for referencing a reference database and generating optimal suggestions. This enables users to take professional-quality photos without requiring special skills.

[0825] "Initializing the camera" means activating the device's camera function and setting it up so that live view can be displayed.

[0826] "Displaying a live view" means displaying the image captured by the camera on the device screen in real time.

[0827] "Capturing an image frame" means recording video data at a particular moment in time.

[0828] "Transmitting to a server" means sending data from a terminal to a server via the Internet or other communication means.

[0829] "Analyzing" means analyzing the transmitted data using a program and extracting necessary information from it.

[0830] "Obtaining the number of people" means identifying the number of people present in the image frame.

[0831] "Obtaining a location" means analyzing and identifying the background and environment of a captured image.

[0832] "Acquiring brightness" means measuring the lighting conditions and light intensity of the captured image.

[0833] "Generating an angle of view" means determining the optimum shooting range and camera angle for shooting.

[0834] "Generating a pose" means determining the optimal pose for the subject to take.

[0835] "Generating dimming" means determining settings that optimize lighting and brightness during shooting.

[0836] "Analyzing facial expressions" means analyzing the facial expressions of a subject from image data and identifying their emotional state.

[0837] "Recognizing emotional states" means identifying the subject's emotions from analyzed facial expression data.

[0838] "Suggesting optimal poses and lighting conditions" means suggesting the pose and lighting conditions that the subject should take based on the acquired emotional state.

[0839] A "reference database" is a database that stores information useful for photography and past data.

[0840] "Confirming the pose" means checking in real time whether the pose taken by the user conforms to the suggestion.

[0841] "Providing additional instructions" means giving instructions for further adjustments or improvements based on the results of checking the pose.

[0842] The present invention is a system that allows users to easily take beautiful commemorative photographs, and is implemented in the following manner.

[0843] The system includes devices such as smartphones and tablets, a cloud-based server, and an emotion engine.

[0844] Overall program explanation

[0845] The server analyzes the received images, recognizes facial expressions, and analyzes emotions, and the device displays instructions from the server to the user. It also checks the user's pose in real time and automatically takes a photo when the user has struck an appropriate pose.

[0846] Hardware

[0847] The main hardware used is as follows:

[0848] Smartphones and tablets (cameras and display devices)

[0849] Cloud server (data processing)

[0850] Mirror display screen (optional)

[0851] software

[0852] The main software and technologies are as follows:

[0853] OpenCV: Image processing library

[0854] EmotionEngine: Custom Emotion Analysis Models

[0855] PhotoGuidanceSystem: A system that suggests optimal posing and lighting

[0856] Processing flow

[0857] 1. Camera initialization and live view display

[0858] When a user launches the application, the device's camera is initialized and a live view is displayed, which shows the camera image on the screen in real time.

[0859] 2. Capturing image frames and sending them to the server

[0860] When the user presses the shutter button, the current image frame is captured and sent to a server, using a communication method such as the Internet.

[0861] 3. Image analysis by the server

[0862] The server analyzes the received images to obtain information such as the number of people, location, and lighting, and identifies this information using facial recognition technology and background analysis algorithms.

[0863] 4. Facial Expression Analysis Using an Emotion Engine

[0864] The emotion engine then analyzes the user's facial expressions to identify emotions such as happiness, sadness, surprise, etc. This data is sent to the server and reflected in the analysis results.

[0865] 5. Generate and submit a proposal

[0866] The server generates optimal angle of view, pose, and lighting based on the analysis results, and reflects the emotional data. This is done using a reference database. The generated suggestions are sent to the device.

[0867] 6. View suggestions and confirm poses

[0868] The device displays the suggestions from the server to the user, and when the user follows the instructions and poses, the device checks the pose in real time and provides additional instructions as needed.

[0869] 7. Automatic photo capture

[0870] Once the appropriate pose is achieved, the device will automatically take a photo, which will then be automatically saved to the device's storage.

[0871] Specific examples

[0872] For example, if a customer at a clothing store wants to take a professional photo after trying on a new outfit, the following steps are taken:

[0873] The customer places their smartphone on the camera stand and launches the app.

[0874] The background and lighting are optimized and guidelines are displayed.

[0875] The customer follows the guidelines displayed and poses.

[0876] It analyzes your facial expressions and provides feedback to help you achieve a relaxed, natural look.

[0877] Once you've followed the instructions and struck a pose, the device will automatically take the picture.

[0878] Prompt Sentence Examples

[0879] "Create a system that provides optimal suggestions and displays guidelines so that customers wearing new clothes can take professional snapshots of themselves. Include a function that analyzes the customer's facial expressions and poses in real time and displays the most appropriate advice."

[0880] In this way, even users without special photography skills can easily obtain professional quality photographs.

[0881] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0882] Step 1:

[0883] The user launches the application on their smartphone or tablet. The camera is initialized and a live view is displayed on the device screen.

[0884] Input: User-initiated application launch

[0885] Output: Live View display

[0886] Specific operation: The application initializes the camera function, displays the camera image on the screen in real time, and starts the camera stream using OpenCV.

[0887] Step 2:

[0888] When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[0889] Input: User presses the shutter button

[0890] Output: Captured image frames and sending to server

[0891] Specific operation: Captures image frames from the camera stream and sends the image data to the server via an HTTP request.

[0892] Step 3:

[0893] The server analyzes the received images and obtains information such as the number of people, location, and brightness.

[0894] Input: Captured image frames

[0895] Output: Analysis results (number of people, location, brightness, etc.)

[0896] Specific operation: The server uses OpenCV to perform face recognition and identify the number of people. It also performs background analysis and brightness analysis to obtain the location and lighting conditions.

[0897] Step 4:

[0898] The server uses an emotion engine to analyze the user's facial expressions and recognize their emotional state.

[0899] Input: Captured image frames

[0900] Output: Emotion data (happiness, sadness, surprise, etc.)

[0901] What it does: The emotion engine applies facial expression recognition algorithms to identify the emotional state of faces in an image, which involves analyzing facial muscle movements.

[0902] Step 5:

[0903] The server generates the optimal angle of view, pose, and lighting based on the analysis results and emotional data, and sends this to the device.

[0904] Input: Analysis results and emotion data

[0905] Output: Recommendations for optimal angle of view, posing, and dimming

[0906] Specific operation: The server references a reference database and generates optimal shooting conditions based on similar past cases. It then uses a generative AI model to form optimal suggestions for each individual user and sends them to the device.

[0907] Step 6:

[0908] The terminal displays the suggestions from the server to the user, who then poses according to the suggestions.

[0909] Input: Proposal data from the server

[0910] Output: Guidelines and instructions that are displayed to the user

[0911] Specific operation: Guidelines regarding the angle of view, posing, and dimming are superimposed on the device screen, and instructions are given to the user.

[0912] Step 7:

[0913] The device checks the user's pose in real time and provides additional instructions as needed.

[0914] Input: Video of the user's current pose

[0915] Output: Further instructions or feedback

[0916] Specific operation: Real-time video analysis is performed using OpenCV to check whether the user's pose matches the suggestions, and if not, additional instructions are displayed on the screen.

[0917] Step 8:

[0918] Once the appropriate pose is achieved, the device will automatically take a photo, which will then be automatically saved to the device's storage.

[0919] Input: Pose analysis results from real-time video

[0920] Output: Saved photos

[0921] How it works: Once the optimal pose is confirmed, the device will automatically take a picture and save it to its internal storage.

[0922] This allows users to easily obtain professional quality photos without requiring any special skills.

[0923] 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.

[0924] 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.

[0925] 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.

[0926] [Third embodiment]

[0927] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0928] 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.

[0929] 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).

[0930] 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.

[0931] 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.

[0932] 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).

[0933] 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.

[0934] 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.

[0935] 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.

[0936] 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.

[0937] 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.

[0938] 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."

[0939] In accordance with an embodiment of the present invention, a system is provided that allows a user to easily take beautiful commemorative photos when traveling or gathering with friends. The system includes a user, a terminal, and a server.

[0940] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[0941] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[0942] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[0943] Once the right pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later.

[0944] Let's explain this with a concrete example. Imagine three friends wanting to take a photo in a park. In this case, the user launches the camera app and presses the shutter button. The device sends the image frame to the server, which analyzes it. The server takes into account the park background, the number of people, and appropriate natural lighting conditions, and generates suggestions such as "the three people should stand diagonally," "the person in the middle should be in front," and "include a fountain in the background." The device displays these suggestions to the user, who then poses according to the instructions. After the device confirms the pose, it takes and saves the photo.

[0945] This system allows users to easily obtain professional quality photos without having special photography skills.

[0946] The processing flow will be explained below.

[0947] Step 1:

[0948] The user launches the app. The user taps the icon on the screen of their smartphone or tablet to launch the camera application.

[0949] Step 2:

[0950] The device initializes the camera and displays the live view. The device initializes the camera device and displays the camera image in real time on the device screen.

[0951] Step 3:

[0952] The user presses the shutter button. The user taps the shutter button on the device screen to start taking a picture.

[0953] Step 4:

[0954] The device captures the current image frame and sends it to the server. The device captures the current frame captured by the camera as image data and sends it to the server via the Internet.

[0955] Step 5:

[0956] The server receives the images and performs analysis. The server analyzes the received image data to identify the number of people, location, brightness, etc. This includes facial recognition, background analysis, and light measurement.

[0957] Step 6:

[0958] The server generates optimal suggestions based on the analysis results. The server references the influencer's photo database and generates optimal suggestions for angle of view, posing, and lighting based on the information obtained.

[0959] Step 7:

[0960] The server sends the proposal to the terminal. The server sends the proposal generated by the server to the terminal via the Internet.

[0961] Step 8:

[0962] The device displays the suggestions to the user. The device visually displays the received suggestions on the screen, providing guidelines and posing instructions to the user.

[0963] Step 9:

[0964] The user poses according to the displayed suggestions. The user follows the guidelines displayed on the device and adjusts their position and posture to achieve an appropriate pose.

[0965] Step 10:

[0966] The device checks the pose and provides additional instructions if necessary. The device analyzes the camera footage in real time, checks whether the user's pose is as suggested, and displays additional instructions on the screen if necessary.

[0967] Step 11:

[0968] The device will take a photo when the appropriate pose is taken. Once the user has taken the appropriate pose, the device will automatically take a photo and save the image in the device's storage.

[0969] By following these steps, users can easily take professional quality photos.

[0970] Example 1

[0971] 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."

[0972] In modern photography, especially when traveling or gathering with friends, users often lack the skills and techniques to take professional-quality photos. This makes it difficult to take beautiful, memorable photos, and it is especially challenging to optimize elements such as composition, posing, and lighting.

[0973] 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.

[0974] In this invention, the server includes a means for referencing a photo database of influencers and generating optimal suggestions, a means for checking the user's pose in real time to confirm whether it is appropriate for the suggestions, and a means for saving the captured photos and allowing the user to review and share them, thereby enabling users to easily obtain professional-quality photos even without special photography skills.

[0975] "User" refers to a person who uses the system to take commemorative photos.

[0976] "Device" means a mobile device, such as a smartphone or tablet, that has a camera function and is hardware for running the System's camera application.

[0977] A "server" refers to a computer system that receives and analyzes data sent from a terminal, and is often installed in the cloud or in a remote location.

[0978] "Initializing the camera" means activating the camera function of the device and making it ready to take pictures.

[0979] "Live view" refers to the function that displays images captured by the camera on the device's display in real time.

[0980] "Image frame" refers to a still image captured by a device's camera at a particular moment in time.

[0981] "Analyzing" means that the server processes the image data received and extracts specific information (such as the number of people, location, and brightness).

[0982] "Optimal angle, posing, and lighting" refers to settings and suggestions for optimizing the shooting angle, subject pose, and lighting conditions to take beautiful commemorative photos.

[0983] "Generating suggestions" means that the server creates guidelines for the user to take beautiful photos based on the analysis results.

[0984] "Save" means recording the captured photo data in the device's internal storage or cloud storage.

[0985] "Confirming" refers to the device displaying the photograph taken to the user and asking the user to check the contents.

[0986] "Allow sharing" means providing the ability to electronically transmit stored photographs with others.

[0987] The present invention provides a system that allows users, terminals, and a server to easily take professional-quality commemorative photos when traveling or gathering with friends. Specific embodiments of the system are described below.

[0988] A user launches a camera application on a device such as a smartphone or tablet (e.g., a commonly used mobile device). The launched application automatically initializes the device's camera and displays a live view of the camera image in real time. When the user presses the shutter button, the device captures the currently displayed image frame and sends the image data to a server. Encrypted communication (e.g., SSL / TLS) is used to ensure security during transmission.

[0989] The server inputs the received image into an AI analysis engine (e.g., OpenCV or a deep learning model) and analyzes the following elements:

[0990] Recognizing the number of people (using facial recognition technology)

[0991] Identifying location

[0992] Brightness rating

[0993] Based on the analysis results, the server references a database of influencer photos and generates guidelines that suggest optimal angles, poses, and lighting. This database includes high-quality photos taken by professional photographers and influencers. The server then sends the generated guidelines to the device, which then displays them on the user interface. For example, the shooting guidelines are overlaid on the live view.

[0994] As the user follows the displayed guidelines and moves to the instructed pose or position, the device analyzes the camera's live view in real time to ensure the user is posing correctly. If necessary, it provides additional instructions to the user in real time. When the conditions are met, the device automatically takes a photo.

[0995] The device then saves the captured photos to local storage or cloud storage (e.g., iCloud, Google Photos), allowing users to view the captured photos and easily share them via social media, email, etc.

[0996] As a concrete example, consider taking a photo of three friends in a park. The user launches the camera app and presses the shutter button. The device sends the image frame to the server, which analyzes it as follows:

[0997] Identify the number of people as 3

[0998] Check the park features in the background

[0999] Evaluate natural light conditions

[1000] The server generates suggestions based on the park background, the number of people, and natural lighting conditions, such as "the three people should stand diagonally," "the person in the middle should stand in front," and "a fountain should be included in the background," and sends these suggestions to the device. The device then displays these suggestions to the user, who then follows the instructions to strike a pose. After the device confirms the pose, it automatically takes and saves a photo.

[1001] The following is an example of a prompt that the user would enter into the system:

[1002] "I'd like to take a photo with my friends in the park. We'd like to stand diagonally across from each other, with the middle person posing slightly forward and with a fountain in the background. Can you guide me through taking this kind of photo?"

[1003] This system allows users to easily obtain professional quality photos without having special photography skills.

[1004] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1005] Step 1:

[1006] The user launches the camera application.

[1007] Specifically, a user taps the app on their smartphone or tablet to launch it, which causes the device to internally initialize the camera module and prepare for displaying the live view.

[1008] Input: User action (tapping on the app)

[1009] Output: App launch, camera initialization

[1010] Step 2:

[1011] The device will initialize the camera and display the live view.

[1012] The device initializes its internal sensors and camera module, preparing the display to display the real-time video stream, and then displays the live view on the user's screen.

[1013] Input: App launch instruction

[1014] Output: Live View display

[1015] Step 3:

[1016] The user presses the shutter button.

[1017] The user taps the shutter button in the app's interface to initiate image capture.

[1018] Input: User action (tapping the shutter button)

[1019] Output: Shutter event occurs

[1020] Step 4:

[1021] The device captures the image frame.

[1022] The device will capture an image from the current live view and prepare it to be saved as a still image, generating image data that captures a specific moment in time.

[1023] Input: shutter event

[1024] Output: Image data (still image)

[1025] Step 5:

[1026] The device sends the captured image to the server.

[1027] The device sends the acquired image data to the server using a digital communication method (e.g., internet, mobile data). The communication is secured using encryption protocols such as SSL / TLS.

[1028] Input: Image data

[1029] Output: Sending event, sending image data to the server

[1030] Step 6:

[1031] The server analyzes the image.

[1032] The server uses an AI analysis engine (e.g., OpenCV, deep learning model, etc.) to analyze the received images and obtain the number of people, location, and brightness. Specifically, it identifies the number of people using facial recognition technology and analyzes background information and lighting conditions.

[1033] Input: Received image data

[1034] Output: Analysis result data (number of people, location, brightness information)

[1035] Step 7:

[1036] The server generates optimal suggestions based on the analysis results.

[1037] The server references the influencer's photo database and generates guidelines that suggest optimal angles, poses, and lighting based on the analysis results.

[1038] Input: Analysis result data

[1039] Output: Shooting guideline proposal

[1040] Step 8:

[1041] The server sends the proposal to the device.

[1042] The server transmits the generated shooting guidelines to the terminal as response data.

[1043] Input: Proposed shooting guidelines

[1044] Output: Send guideline data

[1045] Step 9:

[1046] The terminal displays the suggestions to the user.

[1047] The device overlays the received guidelines on the live view, providing a visual representation to the user.

[1048] Input: Guideline data

[1049] Output: Guideline display on live view

[1050] Step 10:

[1051] The user poses according to the suggestions.

[1052] The user follows the guidelines displayed on the device and assumes the specified pose and position.

[1053] Input: Guideline display on live view

[1054] Output: User pose

[1055] Step 11:

[1056] The terminal checks the video in real time and gives additional instructions.

[1057] The device analyzes the camera's live view in real time to ensure the user is posing correctly, and displays additional instructions if necessary.

[1058] Input: Live View video

[1059] Output: Additional instructions

[1060] Step 12:

[1061] The device will automatically take a photo at the appropriate time.

[1062] The device will automatically take a photo when it determines that the conditions are right.

[1063] Input: Confirmed pose

[1064] Output: The captured photo

[1065] Step 13:

[1066] The device saves the photo.

[1067] The device will save the photos you take to its internal storage or cloud storage.

[1068] Input: Photo taken

[1069] Output: Save event

[1070] Step 14:

[1071] Users view and share photos.

[1072] Users can view the photos saved within the app and share them via social media, email, etc.

[1073] Input: Saved Photos

[1074] Output: Confirmation and sharing events

[1075] (Application example 1)

[1076] 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."

[1077] In conventional tourism, users often need camera skills and knowledge of poses to take attractive commemorative photos, and it can be difficult to instantly take a suitable photo, especially at tourist spots. In addition, users have to take time and effort to take photos, or ask for someone to take the photo for them, which can make the trip less comfortable.

[1078] 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.

[1079] In this invention, the server includes means for a user to start the server, means for the terminal to initialize the camera and display a live view, means for the terminal to capture image frames and send them to the server, means for the server to analyze the received images and acquire the number of people, location, and brightness, means for the server to generate optimal angle of view, poses, and lighting control based on the analysis results, means for the server to send the generated suggestions to the terminal, means for the terminal to display the suggestions from the server to the user, means for the user to pose according to the displayed suggestions, means for the terminal to confirm the pose and issue additional instructions as necessary, means for the terminal to take a photo when an appropriate pose has been taken, and means for the terminal to automatically take photos near tourist spots using the camera and infotainment system installed in the autonomous vehicle. This enables users to easily and automatically take professional-quality commemorative photos at tourist spots without any special skills.

[1080] "User" refers to an individual who uses the system to take photographs.

[1081] "Terminal" refers to an electronic device, such as a smartphone or tablet, that a user possesses and that is used to initialize the camera and display the live view.

[1082] "Server" refers to a remote computer system that has the computing power to receive images sent from a user's terminal, perform analysis, generate optimal suggestions, and send them to the user.

[1083] An "image frame" refers to the data of a momentary still image captured by a camera.

[1084] "Live view" refers to a function that allows you to check the images captured by the camera in real time on your device.

[1085] "Analysis" refers to the process of extracting information contained in an image frame and identifying features such as number of people, location, and lighting.

[1086] "Angle of view" refers to the setting that determines the range included in the camera's field of view.

[1087] "Posing" refers to the pose or positioning of the subject in a photograph.

[1088] "Dimming" refers to the process of adjusting the amount and direction of light depending on the conditions under which a photograph is taken.

[1089] "Suggestion" refers to specific instructions for the user regarding posing, angle of view, and lighting that are generated by the server based on the results of image analysis.

[1090] "Infotainment system" means a system for displaying and controlling information and entertainment provided in a motor vehicle.

[1091] "Autonomous vehicle" means a vehicle that is capable of driving autonomously without human operation.

[1092] A system for implementing the present invention includes an autonomous vehicle, a user terminal, and a server. Specific embodiments of this system will be described below.

[1093] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[1094] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This analysis includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[1095] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[1096] Once the right pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later.

[1097] Next, we will explain how this system can be applied to autonomous vehicles. When approaching a tourist spot, a high-resolution camera installed inside the vehicle will activate and instruct passengers on the optimal pose and position. These instructions will be displayed to passengers through the infotainment system.

[1098] When approaching a tourist spot, the autonomous vehicle's infotainment system displays a notification asking, "Would you like to take a photo at this spot?" If the passenger selects "Yes," the camera begins operating, and the AI ​​analyzes the footage and displays instructions such as, "Stand at this angle so that all three people are balanced in the frame." When the passenger follows the instructions and poses, the camera automatically takes a photo, which is then transferred to a smartphone.

[1099] Examples of the techniques used in this process are listed below:

[1100] Hardware:

[1101] High-resolution cameras for autonomous vehicles

[1102] Smartphones and tablets

[1103] GPU-equipped servers

[1104] Autonomous vehicle infotainment systems

[1105] software:

[1106] Camera control application

[1107] Cloud server for image analysis (AWS, GCP, etc.)

[1108] Influencer Photo Database

[1109] GUI apps for terminals and infotainment systems

[1110] Examples and prompts:

[1111] As a concrete example, imagine three friends traveling in a self-driving car. As they approach a tourist attraction, the infotainment system displays photo suggestions. The camera then suggests the best pose and angle, prompting the passengers to follow the instructions.

[1112] Example prompt sentence:

[1113] Generate souvenir photo suggestions for tourist spots based on the following criteria:

[1114] 1. Number of people: 3

[1115] 2. Location: Park

[1116] 3. Current natural light condition: Bright

[1117] 4. Suggestion: Pose, angle, background elements

[1118] For example: The best pose for a three-person group is a diagonal shot with the middle person in front, with a fountain as the background element, and an angle that takes advantage of natural light.

[1119] Using this system, users can easily and automatically take professional-quality commemorative photos at tourist spots.

[1120] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1121] Step 1:

[1122] The device launches the camera application, initializes the camera, and displays the live view. At this time, the input to the device is the user's operation (launching the application), and the output is the live view display. This process initializes the camera device and displays real-time video.

[1123] Step 2:

[1124] When a user presses the shutter button, the device captures the current image frame and sends it to the server. The input is the captured image frame, and the output is the transmission of image data to the server. Specifically, the image data taken by the camera is uploaded to the server via the device's network interface.

[1125] Step 3:

[1126] The server analyzes the received images to identify the number of people, their location, and the brightness. The input is the image data sent from the device, and the output is the analysis results. AI technology is used for the analysis, and facial recognition and background analysis are performed to extract the number of people in the image, their location, and the ambient lighting conditions.

[1127] Step 4:

[1128] The server then references the influencer's photo database based on the analysis results to generate the optimal angle of view, pose, and lighting. The input to this step is the analysis results, and the output is the generated proposal (angle of view, pose, lighting). The server then searches the database for similar situations and selects the optimal shooting settings.

[1129] Step 5:

[1130] The server sends the generated proposal to the terminal. The input is the shooting proposal generated by the server, and the output is the transmission of the proposal data to the terminal. Specifically, the server sends the proposal content back to the terminal via the network.

[1131] Step 6:

[1132] The terminal displays the suggestions from the server to the user. The input is the suggestion data received from the server, and the output is guidelines or instructions displayed on the terminal's screen. Specifically, the terminal displays graphical guidelines or text instructions on the screen.

[1133] Step 7:

[1134] The user poses according to the displayed suggestions. The input is the instructions displayed on the device, and the output is the user's posing action. In this step, the user adjusts their position and pose according to the presented guidelines.

[1135] Step 8:

[1136] The device monitors the user's pose in real time and displays additional instructions as needed. The input is a live camera feed, and the output is feedback on whether the pose is correct. If not, the device displays further instructions.

[1137] Step 9:

[1138] The device automatically takes a photo when the appropriate pose is taken. The input is the confirmation result of the appropriate pose, and the output is the captured photo data. The device automatically releases the shutter when certain conditions are met.

[1139] Step 10:

[1140] Using the camera and infotainment system installed in the autonomous vehicle, photos are automatically taken near tourist spots. The input is the location information of the tourist spot, and the output is the automatically taken photo. The infotainment system notifies the passenger, and the camera is activated at the optimal time to take the photo.

[1141] In this way, users can easily take professional-quality souvenir photos at tourist spots without having any special skills.

[1142] 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.

[1143] In accordance with an embodiment of the present invention, a system is provided that allows a user to easily take beautiful commemorative photos when traveling or gathering with friends. The system includes a user, a terminal, a server, and an emotion engine.

[1144] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[1145] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[1146] The system also incorporates an emotion engine that analyzes the user's facial expressions to recognize their emotions. The emotion engine analyzes the user's facial expressions in real time from camera footage and identifies emotions such as joy, sadness, and surprise. This emotional data is reflected in the suggestions generated by the server, which adjusts the pose and lighting to suit the user's emotions.

[1147] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[1148] Once the appropriate pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later. The emotion engine also provides real-time feedback on the pose based on the user's emotions, helping users maintain a natural facial expression while taking photos.

[1149] Let's use a concrete example to explain this. Imagine three friends trying to take a photo in a park. In this case, when the user launches the camera app and presses the shutter button, the device sends the image frame to the server, which analyzes it. The server takes into account the park background, the number of people, and appropriate natural lighting conditions, and generates suggestions such as "the three people should stand diagonally," "the person in the middle should be in front," and "there should be a fountain in the background." The device displays these suggestions to the user, who then poses according to the instructions. After the device confirms the pose, it takes and saves the photo.

[1150] Furthermore, the emotion engine analyzes users' facial expressions, and if one person looks nervous, it gives them instructions to relax, bringing out a natural expression. In this way, the introduction of the emotion engine allows users to easily take professional-quality photos without having special photography skills.

[1151] The processing flow will be explained below.

[1152] Step 1:

[1153] The user launches the app. The user taps the icon on the screen of their smartphone or tablet to launch the camera application.

[1154] Step 2:

[1155] The device initializes the camera and displays the live view. The device initializes the camera device and displays the camera image in real time on the device screen.

[1156] Step 3:

[1157] The user presses the shutter button. The user taps the shutter button on the device screen to start taking a picture.

[1158] Step 4:

[1159] The device captures the current image frame and sends it to the server. The device captures the current frame captured by the camera as image data and sends it to the server via the Internet.

[1160] Step 5:

[1161] The server receives the images and performs analysis. The server analyzes the received image data to obtain information such as the number of people, location, and brightness. This includes facial recognition, background analysis, and light measurement.

[1162] Step 6:

[1163] The server analyzes the user's emotions using an emotion engine. The server analyzes the user's facial expressions in the image frame in real time and recognizes emotions such as joy, sadness, and surprise.

[1164] Step 7:

[1165] The server generates optimal suggestions based on the analysis results. The server references the influencer's photo database and generates optimal suggestions for angle of view, posing, and lighting based on the acquired information and the user's emotional data.

[1166] Step 8:

[1167] The server sends the proposal to the terminal. The server then sends the generated proposal to the terminal via the Internet.

[1168] Step 9:

[1169] The device displays the suggestions to the user. The device visually displays the received suggestions on the screen, providing guidelines and posing instructions to the user.

[1170] Step 10:

[1171] The user poses according to the displayed suggestions. The user follows the guidelines displayed on the device and adjusts their position and posture to achieve an appropriate pose.

[1172] Step 11:

[1173] The device checks the pose and provides additional instructions if necessary. The device analyzes the camera footage in real time, checks whether the user's pose is as suggested, and displays additional instructions on the screen if necessary.

[1174] Step 12:

[1175] The device uses an emotion engine to recheck the user's facial expression, and if the user's emotions are not stable, the device will provide additional instructions to help them relax.

[1176] Step 13:

[1177] The device will take a photo when the appropriate pose and facial expression are achieved. Once the appropriate pose and facial expression are confirmed, the device will automatically take a photo and save the image to the device's storage.

[1178] By following these steps, users can easily take professional-quality photos. The introduction of the emotion engine also preserves the user's natural facial expressions, resulting in better photos.

[1179] Example 2

[1180] 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."

[1181] It is necessary to provide a system that allows users to easily take beautiful commemorative photos when traveling or gathering with friends, even if they do not have special photography skills. Furthermore, it is necessary to provide a system that not only takes photos but also produces natural, professional-quality photos that reflect the user's emotions. This will enable users to obtain more satisfying photos.

[1182] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for analyzing received images to acquire the number of people, location, and brightness, a means for generating optimal angle of view, posing, and lighting control based on the analysis results, and a means for transmitting the generated suggestions to the terminal. This allows users to easily take beautiful commemorative photos without having special photography skills. In addition, an emotion engine is used to analyze the user's facial expression and recognize their emotions, and the optimal lighting and posing can be automatically adjusted according to the user's emotions, thereby enabling the capture of a photo with a natural expression that reflects the user's emotions.

[1183] "User" refers to a person who uses the system to take commemorative photos.

[1184] A "terminal" is a device that is directly operated by a user, and includes smartphones and tablets equipped with camera and communication functions.

[1185] "Means for initializing the camera and displaying a live view" refers to the function of activating the device's camera module and displaying the subject being photographed on the screen in real time.

[1186] "Means for capturing image frames and transmitting them to a server" refers to the function of the terminal to take an image when the shutter button is pressed and transmit the image data to a server.

[1187] "Server" refers to a central processing unit that analyzes received image data, obtains necessary information, and generates suggestions.

[1188] "Means for acquiring the number of people, location, and brightness" refers to the function of analyzing the image data received by the server and identifying the number of people in the image, the location where the image was taken, and the brightness at the time of the image being taken.

[1189] "Means for generating optimal angle of view, pose, and lighting" refers to a function in which the server suggests optimal shooting angle, pose, and lighting adjustments based on the results of image analysis.

[1190] The "means for transmitting the generated proposal to the terminal" refers to a function for transmitting the photography proposal generated by the server to the terminal.

[1191] The "means for displaying the proposal to the user" refers to a function for the terminal to display the proposal received from the server on the screen and visually present it to the user.

[1192] "Means of taking a pose" refers to the user physically taking the suggested pose by following the guidelines and instructions displayed on the device screen.

[1193] "Means for checking the pose and providing additional instructions as necessary" refers to the function of the device checking the video in real time, checking whether the user is taking the correct pose, and displaying additional instructions if necessary.

[1194] "Means for taking a photo when the appropriate pose has been taken" refers to a function that automatically takes a photo after confirming that the user has taken the correct pose.

[1195] "Emotion engine" refers to software or hardware functionality for analyzing a user's facial expressions and recognizing their emotional state.

[1196] "Means for adjusting poses and dimming according to the user's emotions" refers to a function that optimizes suggested poses and dimming based on the user's emotional data analyzed by the emotion engine.

[1197] In accordance with an embodiment of the present invention, a system is provided that enables users to easily take beautiful commemorative photos when traveling or gathering with friends. The system mainly includes a user, a terminal, a server, and an emotion engine.

[1198] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. Then, when the user presses the shutter button, the device captures the current image frame and sends it to the server. The server analyzes the received image and uses facial recognition technology and image analysis algorithms to obtain information such as the number of people, location, and brightness. Specifically, OpenCV and Dlib can be used for facial recognition, and TensorFlow can be used for image analysis.

[1199] Based on the analysis results, the server will suggest the best angle, pose, and lighting by referring to a photo database of influencers. For example, this database could use professional photos collected in advance from a photo sharing service.

[1200] Furthermore, the system is equipped with an emotion engine that analyzes the user's facial expressions in real time and recognizes their emotions. Specific technologies include Azure Emotion API and Google Cloud Vision API. The emotion data extracted by the emotion engine is also reflected in the suggestions generated by the server. This enables optimal posing and adjustment of lighting according to the user's emotions.

[1201] The server-generated suggestions are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. As the user poses according to the guidelines, the device monitors the video in real time to confirm whether the pose is appropriate and displays additional instructions if necessary.

[1202] Once the appropriate pose is achieved, the device will automatically take a photo and save it to the device's storage. After taking the photo, the user can review the photo and share it if desired. The emotion engine also provides real-time feedback to help users maintain a natural facial expression while taking the photo.

[1203] As a concrete example, imagine three friends wanting to take a photo in a park. When the user launches the camera app and presses the shutter button, the device sends the image frame to the server, which analyzes that the park is in the background, there are three friends, and the natural light is appropriate. The server generates specific suggestions, such as "the three people should stand diagonally," "the person in the middle should be in front," and "a fountain should be included in the background," and sends them to the device. The device displays these suggestions to the user, who then poses according to the instructions. After confirming the appropriate pose, the device automatically takes and saves the photo.

[1204] If the emotion engine detects that a user is nervous, it will display instructions to encourage the user to relax and bring out a natural expression. For example, it could say, "Take a deep breath and relax." In this way, by incorporating the emotion engine, users can easily obtain professional-quality photos without any special skills.

[1205] Examples of prompt sentences that can be used include the following:

[1206] "A user wants to take a photo with their friends in the park. There are three friends. Suggest the best pose and lighting based on a database of influencer photos. Also provide feedback based on the user's emotions."

[1207] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1208] System program processing flow

[1209] Step 1

[1210] The user launches the camera app

[1211] Specific operation: The user taps the "Memorial Photo App" from the home screen of their smartphone or tablet to launch it.

[1212] Input: A user taps on an app.

[1213] Output: The camera application is launched and the initial screen is displayed.

[1214] Step 2

[1215] The device initializes the camera and displays the live view.

[1216] Specific operation: The device initializes the camera module and the subject being photographed is displayed in real time on the app screen.

[1217] Input: App launch signal.

[1218] Output: The camera is initialized and a live view is displayed to the user.

[1219] Step 3

[1220] The user presses the shutter

[1221] Specific operation: When the user taps the shutter button on the app screen, a shutter sound will be heard and image capture will begin.

[1222] Input: The user presses the shutter button.

[1223] Output: The signal that signals image capture.

[1224] Step 4

[1225] The device captures the image and sends it to the server

[1226] What it does: The device captures high-resolution JPEG images and uploads them to a cloud server using Wi-Fi or a 4G / 5G network.

[1227] Input: A signal from the camera module indicating that the user has pressed the shutter button.

[1228] Output: Captured image data, HTTP POST request sent to the server.

[1229] Step 5

[1230] The server analyzes the image

[1231] How it works: The server receives the images and uses facial recognition technology (e.g., OpenCV or Dlib) and image analysis algorithms (e.g., TensorFlow) to identify the number of people, their location, and the lighting.

[1232] Input: Image data sent from the device.

[1233] Output: Analysis results (number of people, location, and brightness information).

[1234] Step 6

[1235] Server generates photo suggestions

[1236] Specific operation: Based on the analysis results, the server suggests the optimal angle of view, posing, and lighting, referring to the influencer's photo database (e.g., obtained from a photo sharing service).

[1237] Input: Analysis results, influencer photo database.

[1238] Output: Proposal data including optimal angle of view, posing, and lighting.

[1239] Step 7

[1240] The server sends the proposal to the device.

[1241] Specific operation: The server generates a proposal and sends it to the device using an HTTP POST request.

[1242] Input: Proposal data.

[1243] Output: The proposal data sent to the device.

[1244] Step 8

[1245] The device displays guidelines to the user

[1246] Specific operation: Based on the suggestions received by the device, guidelines and instructions are displayed on the screen, providing a visual presentation to the user.

[1247] Input: Proposal data received from the server.

[1248] Output: Guidelines and instructions that appear on the screen.

[1249] Step 9

[1250] The user follows the instructions to pose

[1251] Specific actions: The user follows the on-screen guidelines and takes and adjusts the suggested pose.

[1252] Input: Guidelines and instructions displayed on the screen.

[1253] Output: The pose the user has taken.

[1254] Step 10

[1255] The device will check the pause and provide additional instructions if necessary.

[1256] How it works: The device checks the video in real time to ensure the user is taking the correct pose, and if not, displays additional instructions.

[1257] Input: Real-time video data.

[1258] Output: Further instructions (if needed).

[1259] Step 11

[1260] The device automatically takes and saves photos

[1261] Specific operation: After confirming that the appropriate pose has been achieved, the device will automatically take a photo and save the JPEG file to the internal storage.

[1262] Input: Pose check results.

[1263] Output: Captured photo data, JPEG files saved to storage.

[1264] Step 12

[1265] Users can view and share photos

[1266] Specific operation: After taking a photo, the user checks the photo on the preview screen that appears, and then taps the "Share" button within the app to share the photo via social media or email.

[1267] Input: The captured photo data.

[1268] Output: Photo preview screen, sharing via social media and email.

[1269] (Application example 2)

[1270] 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."

[1271] Today's consumers lack the means to easily take professional photos themselves, especially in brick-and-mortar stores like fashion and photo studios. This means that if customers want a special photoshoot, they need professional assistance, which incurs time and financial costs. Furthermore, real-time feedback on how to elicit natural facial expressions is rarely provided, making it difficult for customers to obtain satisfactory photos. Therefore, there is a need for a system that allows anyone to easily take high-quality photos.

[1272] 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 means for analyzing the user's facial expression and recognizing the emotional state, means for suggesting optimal posing and lighting control according to the emotional state, and means for referencing a reference database and generating optimal suggestions. This enables users to take professional-quality photos without requiring special skills.

[1273] "Initializing the camera" means activating the device's camera function and setting it up so that live view can be displayed.

[1274] "Displaying a live view" means displaying the image captured by the camera on the device screen in real time.

[1275] "Capturing an image frame" means recording video data at a particular moment in time.

[1276] "Transmitting to a server" means sending data from a terminal to a server via the Internet or other communication means.

[1277] "Analyzing" means analyzing the transmitted data using a program and extracting necessary information from it.

[1278] "Obtaining the number of people" means identifying the number of people present in the image frame.

[1279] "Obtaining a location" means analyzing and identifying the background and environment of a captured image.

[1280] "Acquiring brightness" means measuring the lighting conditions and light intensity of the captured image.

[1281] "Generating an angle of view" means determining the optimum shooting range and camera angle for shooting.

[1282] "Generating a pose" means determining the optimal pose for the subject to take.

[1283] "Generating dimming" means determining settings that optimize lighting and brightness during shooting.

[1284] "Analyzing facial expressions" means analyzing the facial expressions of a subject from image data and identifying their emotional state.

[1285] "Recognizing emotional states" means identifying the subject's emotions from analyzed facial expression data.

[1286] "Suggesting optimal poses and lighting conditions" means suggesting the pose and lighting conditions that the subject should take based on the acquired emotional state.

[1287] A "reference database" is a database that stores information useful for photography and past data.

[1288] "Confirming the pose" means checking in real time whether the pose taken by the user conforms to the suggestion.

[1289] "Providing additional instructions" means giving instructions for further adjustments or improvements based on the results of checking the pose.

[1290] The present invention is a system that allows users to easily take beautiful commemorative photographs, and is implemented in the following manner.

[1291] The system includes devices such as smartphones and tablets, a cloud-based server, and an emotion engine.

[1292] Overall program explanation

[1293] The server analyzes the received images, recognizes facial expressions, and analyzes emotions, and the device displays instructions from the server to the user. It also checks the user's pose in real time and automatically takes a photo when the user has struck an appropriate pose.

[1294] Hardware

[1295] The main hardware used is as follows:

[1296] Smartphones and tablets (cameras and display devices)

[1297] Cloud server (data processing)

[1298] Mirror display screen (optional)

[1299] software

[1300] The main software and technologies are as follows:

[1301] OpenCV: Image processing library

[1302] EmotionEngine: Custom Emotion Analysis Models

[1303] PhotoGuidanceSystem: A system that suggests optimal posing and lighting

[1304] Processing flow

[1305] 1. Camera initialization and live view display

[1306] When a user launches the application, the device's camera is initialized and a live view is displayed, which shows the camera image on the screen in real time.

[1307] 2. Capturing image frames and sending them to the server

[1308] When the user presses the shutter button, the current image frame is captured and sent to a server, using a communication method such as the Internet.

[1309] 3. Image analysis by the server

[1310] The server analyzes the received images to obtain information such as the number of people, location, and lighting, and identifies this information using facial recognition technology and background analysis algorithms.

[1311] 4. Facial Expression Analysis Using an Emotion Engine

[1312] The emotion engine then analyzes the user's facial expressions to identify emotions such as happiness, sadness, surprise, etc. This data is sent to the server and reflected in the analysis results.

[1313] 5. Generate and submit a proposal

[1314] The server generates optimal angle of view, pose, and lighting based on the analysis results, and reflects the emotional data. This is done using a reference database. The generated suggestions are sent to the device.

[1315] 6. View suggestions and confirm poses

[1316] The device displays the suggestions from the server to the user, and when the user follows the instructions and poses, the device checks the pose in real time and provides additional instructions as needed.

[1317] 7. Automatic photo capture

[1318] Once the appropriate pose is achieved, the device will automatically take a photo, which will then be automatically saved to the device's storage.

[1319] Specific examples

[1320] For example, if a customer at a clothing store wants to take a professional photo after trying on a new outfit, the following steps are taken:

[1321] The customer places their smartphone on the camera stand and launches the app.

[1322] The background and lighting are optimized and guidelines are displayed.

[1323] The customer follows the guidelines displayed and poses.

[1324] It analyzes your facial expressions and provides feedback to help you achieve a relaxed, natural look.

[1325] Once you've followed the instructions and struck a pose, the device will automatically take the picture.

[1326] Prompt Sentence Examples

[1327] "Create a system that provides optimal suggestions and displays guidelines so that customers wearing new clothes can take professional snapshots of themselves. Include a function that analyzes the customer's facial expressions and poses in real time and displays the most appropriate advice."

[1328] In this way, even users without special photography skills can easily obtain professional quality photographs.

[1329] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1330] Step 1:

[1331] The user launches the application on their smartphone or tablet. The camera is initialized and a live view is displayed on the device screen.

[1332] Input: User-initiated application launch

[1333] Output: Live View display

[1334] Specific operation: The application initializes the camera function, displays the camera image on the screen in real time, and starts the camera stream using OpenCV.

[1335] Step 2:

[1336] When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[1337] Input: User presses the shutter button

[1338] Output: Captured image frames and sending to server

[1339] Specific operation: Captures image frames from the camera stream and sends the image data to the server via an HTTP request.

[1340] Step 3:

[1341] The server analyzes the received images and obtains information such as the number of people, location, and brightness.

[1342] Input: Captured image frames

[1343] Output: Analysis results (number of people, location, brightness, etc.)

[1344] Specific operation: The server uses OpenCV to perform face recognition and identify the number of people. It also performs background analysis and brightness analysis to obtain the location and lighting conditions.

[1345] Step 4:

[1346] The server uses an emotion engine to analyze the user's facial expressions and recognize their emotional state.

[1347] Input: Captured image frames

[1348] Output: Emotion data (happiness, sadness, surprise, etc.)

[1349] What it does: The emotion engine applies facial expression recognition algorithms to identify the emotional state of faces in an image, which involves analyzing facial muscle movements.

[1350] Step 5:

[1351] The server generates the optimal angle of view, pose, and lighting based on the analysis results and emotional data, and sends this to the device.

[1352] Input: Analysis results and emotion data

[1353] Output: Recommendations for optimal angle of view, posing, and dimming

[1354] Specific operation: The server references a reference database and generates optimal shooting conditions based on similar past cases. It then uses a generative AI model to form optimal suggestions for each individual user and sends them to the device.

[1355] Step 6:

[1356] The terminal displays the suggestions from the server to the user, who then poses according to the suggestions.

[1357] Input: Proposal data from the server

[1358] Output: Guidelines and instructions that are displayed to the user

[1359] Specific operation: Guidelines regarding the angle of view, posing, and dimming are superimposed on the device screen, and instructions are given to the user.

[1360] Step 7:

[1361] The device checks the user's pose in real time and provides additional instructions as needed.

[1362] Input: Video of the user's current pose

[1363] Output: Further instructions or feedback

[1364] Specific operation: Real-time video analysis is performed using OpenCV to check whether the user's pose matches the suggestions, and if not, additional instructions are displayed on the screen.

[1365] Step 8:

[1366] Once the appropriate pose is achieved, the device will automatically take a photo, which will then be automatically saved to the device's storage.

[1367] Input: Pose analysis results from real-time video

[1368] Output: Saved photos

[1369] How it works: Once the optimal pose is confirmed, the device will automatically take a picture and save it to its internal storage.

[1370] This allows users to easily obtain professional quality photos without requiring any special skills.

[1371] 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.

[1372] 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.

[1373] 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.

[1374] [Fourth embodiment]

[1375] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1376] 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.

[1377] 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).

[1378] 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.

[1379] 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.

[1380] 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).

[1381] 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.

[1382] 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.

[1383] 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.

[1384] 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.

[1385] 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.

[1386] 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.

[1387] 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."

[1388] In accordance with an embodiment of the present invention, a system is provided that allows a user to easily take beautiful commemorative photos when traveling or gathering with friends. The system includes a user, a terminal, and a server.

[1389] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[1390] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[1391] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[1392] Once the right pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later.

[1393] Let's explain this with a concrete example. Imagine three friends wanting to take a photo in a park. In this case, the user launches the camera app and presses the shutter button. The device sends the image frame to the server, which analyzes it. The server takes into account the park background, the number of people, and appropriate natural lighting conditions, and generates suggestions such as "the three people should stand diagonally," "the person in the middle should be in front," and "include a fountain in the background." The device displays these suggestions to the user, who then poses according to the instructions. After the device confirms the pose, it takes and saves the photo.

[1394] This system allows users to easily obtain professional quality photos without having special photography skills.

[1395] The processing flow will be explained below.

[1396] Step 1:

[1397] The user launches the app. The user taps the icon on the screen of their smartphone or tablet to launch the camera application.

[1398] Step 2:

[1399] The device initializes the camera and displays the live view. The device initializes the camera device and displays the camera image in real time on the device screen.

[1400] Step 3:

[1401] The user presses the shutter button. The user taps the shutter button on the device screen to start taking a picture.

[1402] Step 4:

[1403] The device captures the current image frame and sends it to the server. The device captures the current frame captured by the camera as image data and sends it to the server via the Internet.

[1404] Step 5:

[1405] The server receives the images and performs analysis. The server analyzes the received image data to identify the number of people, location, brightness, etc. This includes facial recognition, background analysis, and light measurement.

[1406] Step 6:

[1407] The server generates optimal suggestions based on the analysis results. The server references the influencer's photo database and generates optimal suggestions for angle of view, posing, and lighting based on the information obtained.

[1408] Step 7:

[1409] The server sends the proposal to the terminal. The server sends the proposal generated by the server to the terminal via the Internet.

[1410] Step 8:

[1411] The device displays the suggestions to the user. The device visually displays the received suggestions on the screen, providing guidelines and posing instructions to the user.

[1412] Step 9:

[1413] The user poses according to the displayed suggestions. The user follows the guidelines displayed on the device and adjusts their position and posture to achieve an appropriate pose.

[1414] Step 10:

[1415] The device checks the pose and provides additional instructions if necessary. The device analyzes the camera footage in real time, checks whether the user's pose is as suggested, and displays additional instructions on the screen if necessary.

[1416] Step 11:

[1417] The device will take a photo when the appropriate pose is taken. Once the user has taken the appropriate pose, the device will automatically take a photo and save the image in the device's storage.

[1418] By following these steps, users can easily take professional quality photos.

[1419] Example 1

[1420] 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."

[1421] In modern photography, especially when traveling or gathering with friends, users often lack the skills and techniques to take professional-quality photos. This makes it difficult to take beautiful, memorable photos, and it is especially challenging to optimize elements such as composition, posing, and lighting.

[1422] 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.

[1423] In this invention, the server includes a means for referencing a photo database of influencers and generating optimal suggestions, a means for checking the user's pose in real time to confirm whether it is appropriate for the suggestions, and a means for saving the captured photos and allowing the user to review and share them, thereby enabling users to easily obtain professional-quality photos even without special photography skills.

[1424] "User" refers to a person who uses the system to take commemorative photos.

[1425] "Device" means a mobile device, such as a smartphone or tablet, that has a camera function and is hardware for running the System's camera application.

[1426] A "server" refers to a computer system that receives and analyzes data sent from a terminal, and is often installed in the cloud or in a remote location.

[1427] "Initializing the camera" means activating the camera function of the device and making it ready to take pictures.

[1428] "Live view" refers to the function that displays images captured by the camera on the device's display in real time.

[1429] "Image frame" refers to a still image captured by a device's camera at a particular moment in time.

[1430] "Analyzing" means that the server processes the image data received and extracts specific information (such as the number of people, location, and brightness).

[1431] "Optimal angle, posing, and lighting" refers to settings and suggestions for optimizing the shooting angle, subject pose, and lighting conditions to take beautiful commemorative photos.

[1432] "Generating suggestions" means that the server creates guidelines for the user to take beautiful photos based on the analysis results.

[1433] "Save" means recording the captured photo data in the device's internal storage or cloud storage.

[1434] "Confirming" refers to the device displaying the photograph taken to the user and asking the user to check the contents.

[1435] "Allow sharing" means providing the ability to electronically transmit stored photographs with others.

[1436] The present invention provides a system that allows users, terminals, and a server to easily take professional-quality commemorative photos when traveling or gathering with friends. Specific embodiments of the system are described below.

[1437] A user launches a camera application on a device such as a smartphone or tablet (e.g., a commonly used mobile device). The launched application automatically initializes the device's camera and displays a live view of the camera image in real time. When the user presses the shutter button, the device captures the currently displayed image frame and sends the image data to a server. Encrypted communication (e.g., SSL / TLS) is used to ensure security during transmission.

[1438] The server inputs the received image into an AI analysis engine (e.g., OpenCV or a deep learning model) and analyzes the following elements:

[1439] Recognizing the number of people (using facial recognition technology)

[1440] Identifying location

[1441] Brightness rating

[1442] Based on the analysis results, the server references a database of influencer photos and generates guidelines that suggest optimal angles, poses, and lighting. This database includes high-quality photos taken by professional photographers and influencers. The server then sends the generated guidelines to the device, which then displays them on the user interface. For example, the shooting guidelines are overlaid on the live view.

[1443] As the user follows the displayed guidelines and moves to the instructed pose or position, the device analyzes the camera's live view in real time to ensure the user is posing correctly. If necessary, it provides additional instructions to the user in real time. When the conditions are met, the device automatically takes a photo.

[1444] The device then saves the captured photos to local storage or cloud storage (e.g., iCloud, Google Photos), allowing users to view the captured photos and easily share them via social media, email, etc.

[1445] As a concrete example, consider taking a photo of three friends in a park. The user launches the camera app and presses the shutter button. The device sends the image frame to the server, which analyzes it as follows:

[1446] Identify the number of people as 3

[1447] Check the park features in the background

[1448] Evaluate natural light conditions

[1449] The server generates suggestions based on the park background, the number of people, and natural lighting conditions, such as "the three people should stand diagonally," "the person in the middle should stand in front," and "a fountain should be included in the background," and sends these suggestions to the device. The device then displays these suggestions to the user, who then follows the instructions to strike a pose. After the device confirms the pose, it automatically takes and saves a photo.

[1450] The following is an example of a prompt that the user would enter into the system:

[1451] "I'd like to take a photo with my friends in the park. We'd like to stand diagonally across from each other, with the middle person posing slightly forward and with a fountain in the background. Can you guide me through taking this kind of photo?"

[1452] This system allows users to easily obtain professional quality photos without having special photography skills.

[1453] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1454] Step 1:

[1455] The user launches the camera application.

[1456] Specifically, a user taps the app on their smartphone or tablet to launch it, which causes the device to internally initialize the camera module and prepare for displaying the live view.

[1457] Input: User action (tapping on the app)

[1458] Output: App launch, camera initialization

[1459] Step 2:

[1460] The device will initialize the camera and display the live view.

[1461] The device initializes its internal sensors and camera module, preparing the display to display the real-time video stream, and then displays the live view on the user's screen.

[1462] Input: App launch instruction

[1463] Output: Live View display

[1464] Step 3:

[1465] The user presses the shutter button.

[1466] The user taps the shutter button in the app's interface to initiate image capture.

[1467] Input: User action (tapping the shutter button)

[1468] Output: Shutter event occurs

[1469] Step 4:

[1470] The device captures the image frame.

[1471] The device will capture an image from the current live view and prepare it to be saved as a still image, generating image data that captures a specific moment in time.

[1472] Input: shutter event

[1473] Output: Image data (still image)

[1474] Step 5:

[1475] The device sends the captured image to the server.

[1476] The device sends the acquired image data to the server using a digital communication method (e.g., internet, mobile data). The communication is secured using encryption protocols such as SSL / TLS.

[1477] Input: Image data

[1478] Output: Sending event, sending image data to the server

[1479] Step 6:

[1480] The server analyzes the image.

[1481] The server uses an AI analysis engine (e.g., OpenCV, deep learning model, etc.) to analyze the received images and obtain the number of people, location, and brightness. Specifically, it identifies the number of people using facial recognition technology and analyzes background information and lighting conditions.

[1482] Input: Received image data

[1483] Output: Analysis result data (number of people, location, brightness information)

[1484] Step 7:

[1485] The server generates optimal suggestions based on the analysis results.

[1486] The server references the influencer's photo database and generates guidelines that suggest optimal angles, poses, and lighting based on the analysis results.

[1487] Input: Analysis result data

[1488] Output: Shooting guideline proposal

[1489] Step 8:

[1490] The server sends the proposal to the device.

[1491] The server transmits the generated shooting guidelines to the terminal as response data.

[1492] Input: Proposed shooting guidelines

[1493] Output: Send guideline data

[1494] Step 9:

[1495] The terminal displays the suggestions to the user.

[1496] The device overlays the received guidelines on the live view, providing a visual representation to the user.

[1497] Input: Guideline data

[1498] Output: Guideline display on live view

[1499] Step 10:

[1500] The user poses according to the suggestions.

[1501] The user follows the guidelines displayed on the device and assumes the specified pose and position.

[1502] Input: Guideline display on live view

[1503] Output: User pose

[1504] Step 11:

[1505] The terminal checks the video in real time and gives additional instructions.

[1506] The device analyzes the camera's live view in real time to ensure the user is posing correctly, and displays additional instructions if necessary.

[1507] Input: Live View video

[1508] Output: Additional instructions

[1509] Step 12:

[1510] The device will automatically take a photo at the appropriate time.

[1511] The device will automatically take a photo when it determines that the conditions are right.

[1512] Input: Confirmed pose

[1513] Output: The captured photo

[1514] Step 13:

[1515] The device saves the photo.

[1516] The device will save the photos you take to its internal storage or cloud storage.

[1517] Input: Photo taken

[1518] Output: Save event

[1519] Step 14:

[1520] Users view and share photos.

[1521] Users can view the photos saved within the app and share them via social media, email, etc.

[1522] Input: Saved Photos

[1523] Output: Confirmation and sharing events

[1524] (Application example 1)

[1525] 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."

[1526] In conventional tourism, users often need camera skills and knowledge of poses to take attractive commemorative photos, and it can be difficult to instantly take a suitable photo, especially at tourist spots. In addition, users have to take time and effort to take photos, or ask for someone to take the photo for them, which can make the trip less comfortable.

[1527] 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.

[1528] In this invention, the server includes means for a user to start the server, means for the terminal to initialize the camera and display a live view, means for the terminal to capture image frames and send them to the server, means for the server to analyze the received images and acquire the number of people, location, and brightness, means for the server to generate optimal angle of view, poses, and lighting control based on the analysis results, means for the server to send the generated suggestions to the terminal, means for the terminal to display the suggestions from the server to the user, means for the user to pose according to the displayed suggestions, means for the terminal to confirm the pose and issue additional instructions as necessary, means for the terminal to take a photo when an appropriate pose has been taken, and means for the terminal to automatically take photos near tourist spots using the camera and infotainment system installed in the autonomous vehicle. This enables users to easily and automatically take professional-quality commemorative photos at tourist spots without any special skills.

[1529] "User" refers to an individual who uses the system to take photographs.

[1530] "Terminal" refers to an electronic device, such as a smartphone or tablet, that a user possesses and that is used to initialize the camera and display the live view.

[1531] "Server" refers to a remote computer system that has the computing power to receive images sent from a user's terminal, perform analysis, generate optimal suggestions, and send them to the user.

[1532] An "image frame" refers to the data of a momentary still image captured by a camera.

[1533] "Live view" refers to a function that allows you to check the images captured by the camera in real time on your device.

[1534] "Analysis" refers to the process of extracting information contained in an image frame and identifying features such as number of people, location, and lighting.

[1535] "Angle of view" refers to the setting that determines the range included in the camera's field of view.

[1536] "Posing" refers to the pose or positioning of the subject in a photograph.

[1537] "Dimming" refers to the process of adjusting the amount and direction of light depending on the conditions under which a photograph is taken.

[1538] "Suggestion" refers to specific instructions for the user regarding posing, angle of view, and lighting that are generated by the server based on the results of image analysis.

[1539] "Infotainment system" means a system for displaying and controlling information and entertainment provided in a motor vehicle.

[1540] "Autonomous vehicle" means a vehicle that is capable of driving autonomously without human operation.

[1541] A system for implementing the present invention includes an autonomous vehicle, a user terminal, and a server. Specific embodiments of this system will be described below.

[1542] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[1543] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This analysis includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[1544] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[1545] Once the right pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later.

[1546] Next, we will explain how this system can be applied to autonomous vehicles. When approaching a tourist spot, a high-resolution camera installed inside the vehicle will activate and instruct passengers on the optimal pose and position. These instructions will be displayed to passengers through the infotainment system.

[1547] When approaching a tourist spot, the autonomous vehicle's infotainment system displays a notification asking, "Would you like to take a photo at this spot?" If the passenger selects "Yes," the camera begins operating, and the AI ​​analyzes the footage and displays instructions such as, "Stand at this angle so that all three people are balanced in the frame." When the passenger follows the instructions and poses, the camera automatically takes a photo, which is then transferred to a smartphone.

[1548] Examples of the techniques used in this process are listed below:

[1549] Hardware:

[1550] High-resolution cameras for autonomous vehicles

[1551] Smartphones and tablets

[1552] GPU-equipped servers

[1553] Autonomous vehicle infotainment systems

[1554] software:

[1555] Camera control application

[1556] Cloud server for image analysis (AWS, GCP, etc.)

[1557] Influencer Photo Database

[1558] GUI apps for terminals and infotainment systems

[1559] Examples and prompts:

[1560] As a concrete example, imagine three friends traveling in a self-driving car. As they approach a tourist attraction, the infotainment system displays photo suggestions. The camera then suggests the best pose and angle, prompting the passengers to follow the instructions.

[1561] Example prompt sentence:

[1562] Generate souvenir photo suggestions for tourist spots based on the following criteria:

[1563] 1. Number of people: 3

[1564] 2. Location: Park

[1565] 3. Current natural light condition: Bright

[1566] 4. Suggestion: Pose, angle, background elements

[1567] For example: The best pose for a three-person group is a diagonal shot with the middle person in front, with a fountain as the background element, and an angle that takes advantage of natural light.

[1568] Using this system, users can easily and automatically take professional-quality commemorative photos at tourist spots.

[1569] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1570] Step 1:

[1571] The device launches the camera application, initializes the camera, and displays the live view. At this time, the input to the device is the user's operation (launching the application), and the output is the live view display. This process initializes the camera device and displays real-time video.

[1572] Step 2:

[1573] When a user presses the shutter button, the device captures the current image frame and sends it to the server. The input is the captured image frame, and the output is the transmission of image data to the server. Specifically, the image data taken by the camera is uploaded to the server via the device's network interface.

[1574] Step 3:

[1575] The server analyzes the received images to identify the number of people, their location, and the brightness. The input is the image data sent from the device, and the output is the analysis results. AI technology is used for the analysis, and facial recognition and background analysis are performed to extract the number of people in the image, their location, and the ambient lighting conditions.

[1576] Step 4:

[1577] The server then references the influencer's photo database based on the analysis results to generate the optimal angle of view, pose, and lighting. The input to this step is the analysis results, and the output is the generated proposal (angle of view, pose, lighting). The server then searches the database for similar situations and selects the optimal shooting settings.

[1578] Step 5:

[1579] The server sends the generated proposal to the terminal. The input is the shooting proposal generated by the server, and the output is the transmission of the proposal data to the terminal. Specifically, the server sends the proposal content back to the terminal via the network.

[1580] Step 6:

[1581] The terminal displays the suggestions from the server to the user. The input is the suggestion data received from the server, and the output is guidelines or instructions displayed on the terminal's screen. Specifically, the terminal displays graphical guidelines or text instructions on the screen.

[1582] Step 7:

[1583] The user poses according to the displayed suggestions. The input is the instructions displayed on the device, and the output is the user's posing action. In this step, the user adjusts their position and pose according to the presented guidelines.

[1584] Step 8:

[1585] The device monitors the user's pose in real time and displays additional instructions as needed. The input is a live camera feed, and the output is feedback on whether the pose is correct. If not, the device displays further instructions.

[1586] Step 9:

[1587] The device automatically takes a photo when the appropriate pose is taken. The input is the confirmation result of the appropriate pose, and the output is the captured photo data. The device automatically releases the shutter when certain conditions are met.

[1588] Step 10:

[1589] Using the camera and infotainment system installed in the autonomous vehicle, photos are automatically taken near tourist spots. The input is the location information of the tourist spot, and the output is the automatically taken photo. The infotainment system notifies the passenger, and the camera is activated at the optimal time to take the photo.

[1590] In this way, users can easily take professional-quality souvenir photos at tourist spots without having any special skills.

[1591] 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.

[1592] In accordance with an embodiment of the present invention, a system is provided that allows a user to easily take beautiful commemorative photos when traveling or gathering with friends. The system includes a user, a terminal, a server, and an emotion engine.

[1593] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[1594] The server analyzes the received images to obtain information such as the number of people, location, and brightness. This includes identifying the number of people using facial recognition technology and analyzing the characteristics of the background and ambient light. Based on the analysis results, the server refers to a database of influencer photos and suggests the optimal angle, pose, and lighting.

[1595] The system also incorporates an emotion engine that analyzes the user's facial expressions to recognize their emotions. The emotion engine analyzes the user's facial expressions in real time from camera footage and identifies emotions such as joy, sadness, and surprise. This emotional data is reflected in the suggestions generated by the server, which adjusts the pose and lighting to suit the user's emotions.

[1596] The suggestions generated by the server are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. While the user follows the guidelines and poses, the device checks the video in real time to confirm whether the pose is appropriate. If necessary, it can display additional instructions.

[1597] Once the appropriate pose is achieved, the device will automatically take a photo, which will be saved in the device's storage for users to view and share later. The emotion engine also provides real-time feedback on the pose based on the user's emotions, helping users maintain a natural facial expression while taking photos.

[1598] Let's use a concrete example to explain this. Imagine three friends trying to take a photo in a park. In this case, when the user launches the camera app and presses the shutter button, the device sends the image frame to the server, which analyzes it. The server takes into account the park background, the number of people, and appropriate natural lighting conditions, and generates suggestions such as "the three people should stand diagonally," "the person in the middle should be in front," and "there should be a fountain in the background." The device displays these suggestions to the user, who then poses according to the instructions. After the device confirms the pose, it takes and saves the photo.

[1599] Furthermore, the emotion engine analyzes users' facial expressions, and if one person looks nervous, it gives them instructions to relax, bringing out a natural expression. In this way, the introduction of the emotion engine allows users to easily take professional-quality photos without having special photography skills.

[1600] The processing flow will be explained below.

[1601] Step 1:

[1602] The user launches the app. The user taps the icon on the screen of their smartphone or tablet to launch the camera application.

[1603] Step 2:

[1604] The device initializes the camera and displays the live view. The device initializes the camera device and displays the camera image in real time on the device screen.

[1605] Step 3:

[1606] The user presses the shutter button. The user taps the shutter button on the device screen to start taking a picture.

[1607] Step 4:

[1608] The device captures the current image frame and sends it to the server. The device captures the current frame captured by the camera as image data and sends it to the server via the Internet.

[1609] Step 5:

[1610] The server receives the images and performs analysis. The server analyzes the received image data to obtain information such as the number of people, location, and brightness. This includes facial recognition, background analysis, and light measurement.

[1611] Step 6:

[1612] The server analyzes the user's emotions using an emotion engine. The server analyzes the user's facial expressions in the image frame in real time and recognizes emotions such as joy, sadness, and surprise.

[1613] Step 7:

[1614] The server generates optimal suggestions based on the analysis results. The server references the influencer's photo database and generates optimal suggestions for angle of view, posing, and lighting based on the acquired information and the user's emotional data.

[1615] Step 8:

[1616] The server sends the proposal to the terminal. The server then sends the generated proposal to the terminal via the Internet.

[1617] Step 9:

[1618] The device displays the suggestions to the user. The device visually displays the received suggestions on the screen, providing guidelines and posing instructions to the user.

[1619] Step 10:

[1620] The user poses according to the displayed suggestions. The user follows the guidelines displayed on the device and adjusts their position and posture to achieve an appropriate pose.

[1621] Step 11:

[1622] The device checks the pose and provides additional instructions if necessary. The device analyzes the camera footage in real time, checks whether the user's pose is as suggested, and displays additional instructions on the screen if necessary.

[1623] Step 12:

[1624] The device uses an emotion engine to recheck the user's facial expression, and if the user's emotions are not stable, the device will provide additional instructions to help them relax.

[1625] Step 13:

[1626] The device will take a photo when the appropriate pose and facial expression are achieved. Once the appropriate pose and facial expression are confirmed, the device will automatically take a photo and save the image to the device's storage.

[1627] By following these steps, users can easily take professional-quality photos. The introduction of the emotion engine also preserves the user's natural facial expressions, resulting in better photos.

[1628] Example 2

[1629] 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."

[1630] It is necessary to provide a system that allows users to easily take beautiful commemorative photos when traveling or gathering with friends, even if they do not have special photography skills. Furthermore, it is necessary to provide a system that not only takes photos but also produces natural, professional-quality photos that reflect the user's emotions. This will enable users to obtain more satisfying photos.

[1631] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for analyzing received images to acquire the number of people, location, and brightness, a means for generating optimal angle of view, posing, and lighting control based on the analysis results, and a means for transmitting the generated suggestions to the terminal. This allows users to easily take beautiful commemorative photos without having special photography skills. In addition, an emotion engine is used to analyze the user's facial expression and recognize their emotions, and the optimal lighting and posing can be automatically adjusted according to the user's emotions, thereby enabling the capture of a photo with a natural expression that reflects the user's emotions.

[1632] "User" refers to a person who uses the system to take commemorative photos.

[1633] A "terminal" is a device that is directly operated by a user, and includes smartphones and tablets equipped with camera and communication functions.

[1634] "Means for initializing the camera and displaying a live view" refers to the function of activating the device's camera module and displaying the subject being photographed on the screen in real time.

[1635] "Means for capturing image frames and transmitting them to a server" refers to the function of the terminal to take an image when the shutter button is pressed and transmit the image data to a server.

[1636] "Server" refers to a central processing unit that analyzes received image data, obtains necessary information, and generates suggestions.

[1637] "Means for acquiring the number of people, location, and brightness" refers to the function of analyzing the image data received by the server and identifying the number of people in the image, the location where the image was taken, and the brightness at the time of the image being taken.

[1638] "Means for generating optimal angle of view, pose, and lighting" refers to a function in which the server suggests optimal shooting angle, pose, and lighting adjustments based on the results of image analysis.

[1639] The "means for transmitting the generated proposal to the terminal" refers to a function for transmitting the photography proposal generated by the server to the terminal.

[1640] The "means for displaying the proposal to the user" refers to a function for the terminal to display the proposal received from the server on the screen and visually present it to the user.

[1641] "Means of taking a pose" refers to the user physically taking the suggested pose by following the guidelines and instructions displayed on the device screen.

[1642] "Means for checking the pose and providing additional instructions as necessary" refers to the function of the device checking the video in real time, checking whether the user is taking the correct pose, and displaying additional instructions if necessary.

[1643] "Means for taking a photo when the appropriate pose has been taken" refers to a function that automatically takes a photo after confirming that the user has taken the correct pose.

[1644] "Emotion engine" refers to software or hardware functionality for analyzing a user's facial expressions and recognizing their emotional state.

[1645] "Means for adjusting poses and dimming according to the user's emotions" refers to a function that optimizes suggested poses and dimming based on the user's emotional data analyzed by the emotion engine.

[1646] In accordance with an embodiment of the present invention, a system is provided that enables users to easily take beautiful commemorative photos when traveling or gathering with friends. The system mainly includes a user, a terminal, a server, and an emotion engine.

[1647] When a user launches a camera application on a device such as a smartphone or tablet, the device's camera is initialized and a live view is displayed. Then, when the user presses the shutter button, the device captures the current image frame and sends it to the server. The server analyzes the received image and uses facial recognition technology and image analysis algorithms to obtain information such as the number of people, location, and brightness. Specifically, OpenCV and Dlib can be used for facial recognition, and TensorFlow can be used for image analysis.

[1648] Based on the analysis results, the server will suggest the best angle, pose, and lighting by referring to a photo database of influencers. For example, this database could use professional photos collected in advance from a photo sharing service.

[1649] Furthermore, the system is equipped with an emotion engine that analyzes the user's facial expressions in real time and recognizes their emotions. Specific technologies include Azure Emotion API and Google Cloud Vision API. The emotion data extracted by the emotion engine is also reflected in the suggestions generated by the server. This enables optimal posing and adjustment of lighting according to the user's emotions.

[1650] The server-generated suggestions are sent to the device and visually displayed to the user. The device displays guidelines and instructions on the screen to guide the user to the correct pose. As the user poses according to the guidelines, the device monitors the video in real time to confirm whether the pose is appropriate and displays additional instructions if necessary.

[1651] Once the appropriate pose is achieved, the device will automatically take a photo and save it to the device's storage. After taking the photo, the user can review the photo and share it if desired. The emotion engine also provides real-time feedback to help users maintain a natural facial expression while taking the photo.

[1652] As a concrete example, imagine three friends wanting to take a photo in a park. When the user launches the camera app and presses the shutter button, the device sends the image frame to the server, which analyzes that the park is in the background, there are three friends, and the natural light is appropriate. The server generates specific suggestions, such as "the three people should stand diagonally," "the person in the middle should be in front," and "a fountain should be included in the background," and sends them to the device. The device displays these suggestions to the user, who then poses according to the instructions. After confirming the appropriate pose, the device automatically takes and saves the photo.

[1653] If the emotion engine detects that a user is nervous, it will display instructions to encourage the user to relax and bring out a natural expression. For example, it could say, "Take a deep breath and relax." In this way, by incorporating the emotion engine, users can easily obtain professional-quality photos without any special skills.

[1654] Examples of prompt sentences that can be used include the following:

[1655] "A user wants to take a photo with their friends in the park. There are three friends. Suggest the best pose and lighting based on a database of influencer photos. Also provide feedback based on the user's emotions."

[1656] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1657] System program processing flow

[1658] Step 1

[1659] The user launches the camera app

[1660] Specific operation: The user taps the "Memorial Photo App" from the home screen of their smartphone or tablet to launch it.

[1661] Input: A user taps on an app.

[1662] Output: The camera application is launched and the initial screen is displayed.

[1663] Step 2

[1664] The device initializes the camera and displays the live view.

[1665] Specific operation: The device initializes the camera module and the subject being photographed is displayed in real time on the app screen.

[1666] Input: App launch signal.

[1667] Output: The camera is initialized and a live view is displayed to the user.

[1668] Step 3

[1669] The user presses the shutter

[1670] Specific operation: When the user taps the shutter button on the app screen, a shutter sound will be heard and image capture will begin.

[1671] Input: The user presses the shutter button.

[1672] Output: The signal that signals image capture.

[1673] Step 4

[1674] The device captures the image and sends it to the server

[1675] What it does: The device captures high-resolution JPEG images and uploads them to a cloud server using Wi-Fi or a 4G / 5G network.

[1676] Input: A signal from the camera module indicating that the user has pressed the shutter button.

[1677] Output: Captured image data, HTTP POST request sent to the server.

[1678] Step 5

[1679] The server analyzes the image

[1680] How it works: The server receives the images and uses facial recognition technology (e.g., OpenCV or Dlib) and image analysis algorithms (e.g., TensorFlow) to identify the number of people, their location, and the lighting.

[1681] Input: Image data sent from the device.

[1682] Output: Analysis results (number of people, location, and brightness information).

[1683] Step 6

[1684] Server generates photo suggestions

[1685] Specific operation: Based on the analysis results, the server suggests the optimal angle of view, posing, and lighting, referring to the influencer's photo database (e.g., obtained from a photo sharing service).

[1686] Input: Analysis results, influencer photo database.

[1687] Output: Proposal data including optimal angle of view, posing, and lighting.

[1688] Step 7

[1689] The server sends the proposal to the device.

[1690] Specific operation: The server generates a proposal and sends it to the device using an HTTP POST request.

[1691] Input: Proposal data.

[1692] Output: The proposal data sent to the device.

[1693] Step 8

[1694] The device displays guidelines to the user

[1695] Specific operation: Based on the suggestions received by the device, guidelines and instructions are displayed on the screen, providing a visual presentation to the user.

[1696] Input: Proposal data received from the server.

[1697] Output: Guidelines and instructions that appear on the screen.

[1698] Step 9

[1699] The user follows the instructions to pose

[1700] Specific actions: The user follows the on-screen guidelines and takes and adjusts the suggested pose.

[1701] Input: Guidelines and instructions displayed on the screen.

[1702] Output: The pose the user has taken.

[1703] Step 10

[1704] The device will check the pause and provide additional instructions if necessary.

[1705] How it works: The device checks the video in real time to ensure the user is taking the correct pose, and if not, displays additional instructions.

[1706] Input: Real-time video data.

[1707] Output: Further instructions (if needed).

[1708] Step 11

[1709] The device automatically takes and saves photos

[1710] Specific operation: After confirming that the appropriate pose has been achieved, the device will automatically take a photo and save the JPEG file to the internal storage.

[1711] Input: Pose check results.

[1712] Output: Captured photo data, JPEG files saved to storage.

[1713] Step 12

[1714] Users can view and share photos

[1715] Specific operation: After taking a photo, the user checks the photo on the preview screen that appears, and then taps the "Share" button within the app to share the photo via social media or email.

[1716] Input: The captured photo data.

[1717] Output: Photo preview screen, sharing via social media and email.

[1718] (Application example 2)

[1719] 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."

[1720] Today's consumers lack the means to easily take professional photos themselves, especially in brick-and-mortar stores like fashion and photo studios. This means that if customers want a special photoshoot, they need professional assistance, which incurs time and financial costs. Furthermore, real-time feedback on how to elicit natural facial expressions is rarely provided, making it difficult for customers to obtain satisfactory photos. Therefore, there is a need for a system that allows anyone to easily take high-quality photos.

[1721] 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 means for analyzing the user's facial expression and recognizing the emotional state, means for suggesting optimal posing and lighting control according to the emotional state, and means for referencing a reference database and generating optimal suggestions. This enables users to take professional-quality photos without requiring special skills.

[1722] "Initializing the camera" means activating the device's camera function and setting it up so that live view can be displayed.

[1723] "Displaying a live view" means displaying the image captured by the camera on the device screen in real time.

[1724] "Capturing an image frame" means recording video data at a particular moment in time.

[1725] "Transmitting to a server" means sending data from a terminal to a server via the Internet or other communication means.

[1726] "Analyzing" means analyzing the transmitted data using a program and extracting necessary information from it.

[1727] "Obtaining the number of people" means identifying the number of people present in the image frame.

[1728] "Obtaining a location" means analyzing and identifying the background and environment of a captured image.

[1729] "Acquiring brightness" means measuring the lighting conditions and light intensity of the captured image.

[1730] "Generating an angle of view" means determining the optimum shooting range and camera angle for shooting.

[1731] "Generating a pose" means determining the optimal pose for the subject to take.

[1732] "Generating dimming" means determining settings that optimize lighting and brightness during shooting.

[1733] "Analyzing facial expressions" means analyzing the facial expressions of a subject from image data and identifying their emotional state.

[1734] "Recognizing emotional states" means identifying the subject's emotions from analyzed facial expression data.

[1735] "Suggesting optimal poses and lighting conditions" means suggesting the pose and lighting conditions that the subject should take based on the acquired emotional state.

[1736] A "reference database" is a database that stores information useful for photography and past data.

[1737] "Confirming the pose" means checking in real time whether the pose taken by the user conforms to the suggestion.

[1738] "Providing additional instructions" means giving instructions for further adjustments or improvements based on the results of checking the pose.

[1739] The present invention is a system that allows users to easily take beautiful commemorative photographs, and is implemented in the following manner.

[1740] The system includes devices such as smartphones and tablets, a cloud-based server, and an emotion engine.

[1741] Overall program explanation

[1742] The server analyzes the received images, recognizes facial expressions, and analyzes emotions, and the device displays instructions from the server to the user. It also checks the user's pose in real time and automatically takes a photo when the user has struck an appropriate pose.

[1743] Hardware

[1744] The main hardware used is as follows:

[1745] Smartphones and tablets (cameras and display devices)

[1746] Cloud server (data processing)

[1747] Mirror display screen (optional)

[1748] software

[1749] The main software and technologies are as follows:

[1750] OpenCV: Image processing library

[1751] EmotionEngine: Custom Emotion Analysis Models

[1752] PhotoGuidanceSystem: A system that suggests optimal posing and lighting

[1753] Processing flow

[1754] 1. Camera initialization and live view display

[1755] When a user launches the application, the device's camera is initialized and a live view is displayed, which shows the camera image on the screen in real time.

[1756] 2. Capturing image frames and sending them to the server

[1757] When the user presses the shutter button, the current image frame is captured and sent to a server, using a communication method such as the Internet.

[1758] 3. Image analysis by the server

[1759] The server analyzes the received images to obtain information such as the number of people, location, and lighting, and identifies this information using facial recognition technology and background analysis algorithms.

[1760] 4. Facial Expression Analysis Using an Emotion Engine

[1761] The emotion engine then analyzes the user's facial expressions to identify emotions such as happiness, sadness, surprise, etc. This data is sent to the server and reflected in the analysis results.

[1762] 5. Generate and submit a proposal

[1763] The server generates optimal angle of view, pose, and lighting based on the analysis results, and reflects the emotional data. This is done using a reference database. The generated suggestions are sent to the device.

[1764] 6. View suggestions and confirm poses

[1765] The device displays the suggestions from the server to the user, and when the user follows the instructions and poses, the device checks the pose in real time and provides additional instructions as needed.

[1766] 7. Automatic photo capture

[1767] Once the appropriate pose is achieved, the device will automatically take a photo, which will then be automatically saved to the device's storage.

[1768] Specific examples

[1769] For example, if a customer at a clothing store wants to take a professional photo after trying on a new outfit, the following steps are taken:

[1770] The customer places their smartphone on the camera stand and launches the app.

[1771] The background and lighting are optimized and guidelines are displayed.

[1772] The customer follows the guidelines displayed and poses.

[1773] It analyzes your facial expressions and provides feedback to help you achieve a relaxed, natural look.

[1774] Once you've followed the instructions and struck a pose, the device will automatically take the picture.

[1775] Prompt Sentence Examples

[1776] "Create a system that provides optimal suggestions and displays guidelines so that customers wearing new clothes can take professional snapshots of themselves. Include a function that analyzes the customer's facial expressions and poses in real time and displays the most appropriate advice."

[1777] In this way, even users without special photography skills can easily obtain professional quality photographs.

[1778] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1779] Step 1:

[1780] The user launches the application on their smartphone or tablet. The camera is initialized and a live view is displayed on the device screen.

[1781] Input: User-initiated application launch

[1782] Output: Live View display

[1783] Specific operation: The application initializes the camera function, displays the camera image on the screen in real time, and starts the camera stream using OpenCV.

[1784] Step 2:

[1785] When the user presses the shutter button, the device captures the current image frame and sends it to the server.

[1786] Input: User presses the shutter button

[1787] Output: Captured image frames and sending to server

[1788] Specific operation: Captures image frames from the camera stream and sends the image data to the server via an HTTP request.

[1789] Step 3:

[1790] The server analyzes the received images and obtains information such as the number of people, location, and brightness.

[1791] Input: Captured image frames

[1792] Output: Analysis results (number of people, location, brightness, etc.)

[1793] Specific operation: The server uses OpenCV to perform face recognition and identify the number of people. It also performs background analysis and brightness analysis to obtain the location and lighting conditions.

[1794] Step 4:

[1795] The server uses an emotion engine to analyze the user's facial expressions and recognize their emotional state.

[1796] Input: Captured image frames

[1797] Output: Emotion data (happiness, sadness, surprise, etc.)

[1798] What it does: The emotion engine applies facial expression recognition algorithms to identify the emotional state of faces in an image, which involves analyzing facial muscle movements.

[1799] Step 5:

[1800] The server generates the optimal angle of view, pose, and lighting based on the analysis results and emotional data, and sends this to the device.

[1801] Input: Analysis results and emotion data

[1802] Output: Recommendations for optimal angle of view, posing, and dimming

[1803] Specific operation: The server references a reference database and generates optimal shooting conditions based on similar past cases. It then uses a generative AI model to form optimal suggestions for each individual user and sends them to the device.

[1804] Step 6:

[1805] The terminal displays the suggestions from the server to the user, who then poses according to the suggestions.

[1806] Input: Proposal data from the server

[1807] Output: Guidelines and instructions that are displayed to the user

[1808] Specific operation: Guidelines regarding the angle of view, posing, and dimming are superimposed on the device screen, and instructions are given to the user.

[1809] Step 7:

[1810] The device checks the user's pose in real time and provides additional instructions as needed.

[1811] Input: Video of the user's current pose

[1812] Output: Further instructions or feedback

[1813] Specific operation: Real-time video analysis is performed using OpenCV to check whether the user's pose matches the suggestions, and if not, additional instructions are displayed on the screen.

[1814] Step 8:

[1815] Once the appropriate pose is achieved, the device will automatically take a photo, which will then be automatically saved to the device's storage.

[1816] Input: Pose analysis results from real-time video

[1817] Output: Saved photos

[1818] How it works: Once the optimal pose is confirmed, the device will automatically take a picture and save it to its internal storage.

[1819] This allows users to easily obtain professional quality photos without requiring any special skills.

[1820] 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.

[1821] 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.

[1822] 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 robot 414.

[1823] 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.

[1824] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1825] 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.

[1826] 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).

[1827] 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.

[1828] 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."

[1829] 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.

[1830] 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).

[1831] 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.

[1832] 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.

[1833] 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.

[1834] 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.

[1835] 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.

[1836] 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.

[1837] 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.

[1838] 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.

[1839] 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.

[1840] 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.

[1841] The following is further disclosed regarding the above embodiment.

[1842] (Claim 1)

[1843] a means for user activation;

[1844] A means for the device to initialize the camera and display a live view;

[1845] means for the terminal to capture and transmit image frames to a server;

[1846] The server analyzes the received image and obtains the number of people, location, and brightness.

[1847] The server generates the optimal angle of view, pose, and lighting based on the analysis results.

[1848] means for transmitting the server-generated proposals to the terminal;

[1849] means for the terminal to display suggestions from the server to the user;

[1850] means for the user to pose according to the displayed suggestions;

[1851] A means for the terminal to check the pause and issue additional instructions as necessary;

[1852] a means for the device to take a photograph once an appropriate pose has been achieved;

[1853] A system including:

[1854] (Claim 2)

[1855] 10. The system of claim 1, further comprising means for consulting a database of influencer photos and generating optimal suggestions.

[1856] (Claim 3)

[1857] 2. The system according to claim 1, further comprising means for checking the user's pose in real time to confirm whether the pose is appropriate for the suggestion.

[1858] "Example 1"

[1859] (Claim 1)

[1860] a means for user activation;

[1861] A means for the device to initialize the camera and display a live view;

[1862] means for the terminal to capture and transmit image frames to a server;

[1863] The server analyzes the received image and obtains the number of people, location, and brightness.

[1864] The server generates the optimal angle of view, pose, and lighting based on the analysis results.

[1865] means for transmitting the server-generated proposals to the terminal;

[1866] means for the terminal to display suggestions from the server to the user;

[1867] means for the user to pose according to the displayed suggestions;

[1868] A means for the terminal to check the pause and issue additional instructions as necessary;

[1869] a means for the device to take a photograph once an appropriate pose has been achieved;

[1870] a means for storing the captured photographs by the device;

[1871] The device has a means for allowing users to view and share stored photos.

[1872] system.

[1873] (Claim 2)

[1874] 10. The system of claim 1, further comprising means for consulting a database of influencer photos and generating optimal suggestions.

[1875] (Claim 3)

[1876] 2. The system according to claim 1, further comprising means for checking the user's pose in real time to confirm whether the pose is appropriate for the suggestion.

[1877] "Application Example 1"

[1878] (Claim 1)

[1879] a means for user activation;

[1880] A means for the device to initialize the camera and display a live view;

[1881] means for the terminal to capture and transmit image frames to a server;

[1882] The server analyzes the received image and obtains the number of people, location, and brightness.

[1883] The server generates the optimal angle of view, pose, and lighting based on the analysis results.

[1884] means for transmitting the server-generated proposals to the terminal;

[1885] means for the terminal to display suggestions from the server to the user;

[1886] means for the user to pose according to the displayed suggestions;

[1887] A means for the terminal to check the pause and issue additional instructions as necessary;

[1888] a means for the device to take a photograph once an appropriate pose has been achieved;

[1889] A method for automatically taking photos near tourist spots using cameras and infotainment systems installed in autonomous vehicles;

[1890] A system including:

[1891] (Claim 2)

[1892] 10. The system of claim 1, further comprising means for consulting a database of influencer photos and generating optimal suggestions.

[1893] (Claim 3)

[1894] 2. The system according to claim 1, further comprising means for checking the user's pose in real time to confirm whether the pose is appropriate for the suggestion.

[1895] "Example 2: Combining Emotion Engines"

[1896] (Claim 1)

[1897] a means for user activation;

[1898] A means for the device to initialize the camera and display a live view;

[1899] means for the terminal to capture and transmit image frames to a server;

[1900] The server analyzes the received image and obtains the number of people, location, and brightness.

[1901] The server generates the optimal angle of view, pose, and lighting based on the analysis results.

[1902] means for transmitting the server-generated proposals to the terminal;

[1903] means for the terminal to display suggestions from the server to the user;

[1904] means for the user to pose according to the displayed suggestions;

[1905] A means for the terminal to check the pause and issue additional instructions as necessary;

[1906] a means for the device to take a photograph once an appropriate pose has been achieved;

[1907] A means for analyzing a user's facial expression and recognizing emotions using an emotion engine;

[1908] A means for adjusting poses and lighting according to the user's emotions;

[1909] A system including:

[1910] (Claim 2)

[1911] 10. The system of claim 1, further comprising means for consulting a database of influencer photos and generating optimal suggestions.

[1912] (Claim 3)

[1913] 2. The system according to claim 1, further comprising means for checking the user's pose and facial expression in real time to confirm whether the pose and facial expression are appropriate for the suggestions.

[1914] "Application example 2 when combining emotion engines"

[1915] (Claim 1)

[1916] a means for user activation;

[1917] A means for the device to initialize the camera and display a live view;

[1918] means for the terminal to capture and transmit image frames to a server;

[1919] The server analyzes the received image and obtains the number of people, location, and brightness.

[1920] The server generates the optimal angle of view, pose, and lighting based on the analysis results.

[1921] A means for the server to analyze the user's facial expression and recognize the user's emotional state;

[1922] The server proposes optimal poses and lighting adjustments according to the user's emotional state.

[1923] means for transmitting the server-generated proposals to the terminal;

[1924] means for the terminal to display suggestions from the server to the user;

[1925] means for the user to pose according to the displayed suggestions;

[1926] A means for the terminal to check the pause and issue additional instructions as necessary;

[1927] a means for the device to take a photograph once an appropriate pose has been achieved;

[1928] A system including:

[1929] (Claim 2)

[1930] 10. The system of claim 1, further comprising means for consulting a reference database and generating optimal suggestions.

[1931] (Claim 3)

[1932] 2. The system according to claim 1, further comprising means for checking the user's pose in real time to confirm whether the pose is appropriate for the suggestion. [Explanation of symbols]

[1933] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for user activation; A means for the device to initialize the camera and display a live view; means for the terminal to capture and transmit image frames to a server; The server analyzes the received image and obtains the number of people, location, and brightness. The server generates the optimal angle of view, pose, and lighting based on the analysis results. means for transmitting the server-generated proposals to the terminal; means for the terminal to display suggestions from the server to the user; means for the user to pose according to the displayed suggestions; A means for the terminal to check the pause and issue additional instructions as necessary; a means for the device to take a photograph once an appropriate pose has been achieved; A system including:

2. The system of claim 1 , further comprising means for consulting a database of influencer photos and generating optimal suggestions.

3. 2. The system according to claim 1, further comprising means for checking the user's pose in real time to confirm whether the pose is appropriate for the suggestion.

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