System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving a face image captured by a terminal operated by a user; means for analyzing the received face image to specify a skeleton and an impression of a face; means for generating an eyebrow shape optimal for the user based on the specified skeleton and impression; and means for proposing a beauty treatment facility and a tool for realizing the generated eyebrow shape.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] While investment in beauty has declined in recent years, interest in eyebrow care continues to grow. However, finding the optimal eyebrow shape for each individual's facial structure and overall impression requires advanced expertise and experience, making it difficult for many users to properly care for their eyebrows on their own. Furthermore, visiting a salon is time-consuming and expensive, creating a demand for convenience. This invention aims to solve these problems by allowing users to easily identify the optimal eyebrow shape for themselves and providing specific suggestions for achieving that shape. [Means for solving the problem]

[0005] The present invention provides a system that receives a facial image captured by a user's device, analyzes the image, and identifies the facial structure and impression. Based on the analysis results, the system generates an optimal eyebrow shape for the user and suggests beauty salons and tools to achieve that shape. The system also includes a means for generating images and drawing data to visualize the proposed eyebrow shape, and a means for using location information to select beauty salons. This allows users to easily find the eyebrow shape that best suits them and receive specific instructions for achieving that shape.

[0006] "User" refers to a person who uses the system to take a picture of their own face and receive the analysis results.

[0007] "Terminal" refers to a portable electronic device such as a smartphone or tablet operated by a user.

[0008] "Facial image" refers to image data of a photograph of the user's face.

[0009] "Means of receiving" refers to the process and infrastructure by which the server receives the facial image sent from the terminal.

[0010] "Means of analysis" refers to the process and algorithms that use AI technology to identify bone structure and facial impressions based on received facial images.

[0011] "Bone structure" refers to the bone structure that makes up the overall shape of the face.

[0012] "Impression" refers to the visual sensation and atmosphere you get from the entire face.

[0013] "Means of generation" refers to the process or algorithm that designs the optimal eyebrow shape based on the analysis results.

[0014] "Beauty facilities" refers to salons, studios, and other stores that provide eyebrow care and shaping services.

[0015] "Tools" refers to the implements and cosmetics used to care for eyebrows at home.

[0016] "Means of suggestion" refers to the process and infrastructure that presents users with information about beauty facilities and tools to achieve the generated eyebrow shape.

[0017] "Image or drawing data" refers to digital information for visually displaying the generated eyebrow shape.

[0018] "Location information" refers to data that identifies a user's current location using the device's GPS function, etc. [Brief explanation of the drawings]

[0019] [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

[0020] 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.

[0021] First, the terms used in the following description will be explained.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 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.

[0030] 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).

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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."

[0040] The present invention provides a system for receiving a facial image captured by a user-operated terminal, analyzing the image, and identifying facial structure and impression. The system is implemented as follows.

[0041] The user takes a picture of their face using a smartphone. The device then uploads the image data to a server. The server then uses AI technology to analyze the received facial image and identify the facial bone structure and impression. Based on the analysis results, the server generates the optimal eyebrow shape for the user and provides information on beauty facilities and tools to achieve that shape.

[0042] Specifically, the server performs the process in the following steps.

[0043] 1. Means of Receiving

[0044] The server receives the face image sent from the user's terminal and stores the data.

[0045] 2. Analysis Methods

[0046] The server uses pre-trained AI models (face detection model, skeletal analysis model, etc.) to analyze facial images. It detects specific features (e.g., eyes, nose, mouth, etc.) from the facial image and quantifies the facial structure and overall impression based on them.

[0047] 3. Means of generation

[0048] Based on the analysis results, the server generates multiple eyebrow shapes that are considered to be optimal for the user, such as arched, straight, and curved.

[0049] 4. Proposed measures

[0050] Based on the generated eyebrow shape, the server selects the beauty salon and tools needed to achieve it. The server utilizes the user's location information and takes into account the styles and ratings of nearby salons. It also provides links to purchase tools for shaping the eyebrows (e.g., eyebrow trimmers, eyebrow pencils, etc.).

[0051] 5. Generating images and drawing data

[0052] The server generates reference images and drawing data so that users can visually confirm the proposed eyebrow shape, allowing them to visualize the exact shape.

[0053] 6. Presentation of results

[0054] The server sends the generated results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which then displays them to the user.

[0055] Specific examples

[0056] For example, a user can take a photo of their face with their smartphone and upload it to the system via an app. The server receives the image and uses an AI model to analyze the facial structure and overall impression. Based on the analysis results, the server generates the user's optimal eyebrow shape (arched or straight) and suggests highly rated beauty salons near the user to help them achieve these shapes. At the same time, it also provides online purchasing links for tools needed for at-home eyebrow care (eyebrow trimmers and eyebrow pencils). Users can check this information on their device, choose a salon they like, and make a reservation, or purchase the necessary tools online.

[0057] In this way, the present invention provides a system that allows users to easily identify the eyebrow shape that best suits them and provides specific instructions for achieving that shape.

[0058] The processing flow will be explained below.

[0059] Step 1:

[0060] The user takes a photo of their face using a smartphone.

[0061] Use your smartphone's camera to take a photo of your face from the front.

[0062] Step 2:

[0063] The user takes a photo of their face and uploads it to the server via the app.

[0064] Press the "Upload" button in the app, select the photo you took, and send it to the server.

[0065] Step 3:

[0066] The server receives the facial photograph sent by the user and stores the data.

[0067] The server confirms receipt and stores the facial photo data in a database.

[0068] Step 4:

[0069] The server loads the AI ​​model to analyze the facial photo.

[0070] The server prepares to apply AI models for image analysis (e.g., face detection models, skeletal analysis models).

[0071] Step 5:

[0072] The AI ​​model detects specific features (eyes, nose, mouth, etc.) from a facial photo.

[0073] AI identifies the position of each facial feature and quantifies the data.

[0074] Step 6:

[0075] The server identifies the facial structure and impression from the analysis results.

[0076] The server classifies the face shape and overall impression based on the location data of feature points.

[0077] Step 7:

[0078] Based on the analysis results, the server generates multiple optimal eyebrow shapes.

[0079] From the generated data, eyebrow shapes such as arched, straight, and curved are selected as candidate suggestions.

[0080] Step 8:

[0081] The server refers to a database of beauty facilities and tools based on the generated eyebrow shape.

[0082] By utilizing location information, the system obtains information about beauty facilities and necessary tools near the user.

[0083] Step 9:

[0084] The server organizes information on the selected beauty facilities and tools and generates data to make suggestions to users.

[0085] Create detailed information about your beauty salon, including reviews, pricing information, and links to purchase tools.

[0086] Step 10:

[0087] The server sends the suggested eyebrow shape and related information to the user's terminal.

[0088] To make it easier for the user to understand, images and text data for visually displaying the proposal content are generated and transmitted.

[0089] Step 11:

[0090] The terminal visually displays the suggestion results to the user.

[0091] The device receives the transmitted data and displays the eyebrow shape, recommended salon information, and tool links on the screen.

[0092] Step 12:

[0093] The user checks the suggested eyebrow shapes and salons and selects the required action.

[0094] The user reviews the suggestions and, if they like them, they can make a salon appointment or purchase the tools online.

[0095] Example 1

[0096] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0097] With conventional systems, it takes a lot of time and effort for users to find the perfect eyebrow shape for themselves, and it is difficult to select beauty facilities and tools. Furthermore, because users cannot visually confirm the proposed eyebrow shape, they are unable to form a concrete image of it. There is a need to solve these problems and provide a means for users to easily find the perfect eyebrow shape and achieve that shape.

[0098] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0099] In this invention, the server includes means for receiving a facial image captured by a terminal operated by the user, means for analyzing the received facial image to identify the facial bone structure and impression, and means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression. This allows the user to easily find the optimal eyebrow shape for themselves and receive specific instructions for achieving that shape.

[0100] A "user" is a person who operates the system to take a facial image and upload that image.

[0101] A "terminal" is a device operated by a user, and includes hardware such as a smartphone or a personal computer.

[0102] A "face image" is image data obtained by photographing the user's face.

[0103] The "receiving means" is a function that allows the server to receive the face image sent from the terminal.

[0104] The "analysis means" is a function for identifying the facial structure and impression based on the received facial image.

[0105] "Facial skeleton" refers to the structure of the face based on facial features (eyes, nose, mouth, etc.).

[0106] "Impression" refers to the overall atmosphere and feel of a face, calculated based on facial features and bone structure.

[0107] The "optimal eyebrow shape" refers to the eyebrow shape that is determined to be most suitable for the user based on the analyzed facial structure and impression.

[0108] The "means for generating" is a function for determining the optimal eyebrow shape based on the identified bone structure and impression.

[0109] A "reference image" is an image that visually shows the proposed eyebrow shape.

[0110] "Drawing data" refers to data used to draw the proposed eyebrow shape on a computer.

[0111] A "beauty facility" is a salon or store that provides services for shaping eyebrows.

[0112] "Tools" refer to tools such as eyebrow pencils and eyebrow cutters for shaping eyebrows.

[0113] The "means of suggestion" is a function that selects and informs users of beauty facilities and tools based on the eyebrow shape that is best suited to them.

[0114] "Location information" is data for identifying the user's current location or location.

[0115] "Transmitting means" is a communication function for sending the results generated by the server to the terminal.

[0116] The "display means" is a screen display function for showing the results received by the terminal to the user.

[0117] This invention is a system that receives a facial image taken by a terminal operated by a user, analyzes the image to identify the facial structure and impression, and generates and proposes an optimal eyebrow shape for the user. Specific embodiments of this system are described below.

[0118] Hardware and software used

[0119] This system uses the following hardware and software:

[0120] 1. Device: A smartphone, computer, or other device operated by the user.

[0121] 2. Server: A computer that receives and analyzes facial image data, and generates and transmits the results.

[0122] 3. AI models: Face detection models and skeletal analysis models for analyzing facial images.

[0123] 4. Database: A storage system for storing received facial image data and analysis results.

[0124] System Operation Details

[0125] 1. The user takes and uploads a photo of their face

[0126] Users take a picture of their face using a smartphone camera or a dedicated app, and once the photo is taken, the facial image data is uploaded to the system via the app.

[0127] Example: A user opens the app, presses the "Take a Face Picture" button to activate the camera, and then presses the "Upload" button to send the image to the server.

[0128] 2. The server receives and stores the image data

[0129] The server receives the facial image data sent from the user's device and stores it in a database, along with metadata such as the user ID.

[0130] Example: The server receives an HTTP POST request and saves the face image data to a directory such as " / images / user123.jpg". It also records metadata such as "user_id: 123, upload_time: '2023-10-05 10:00:00'".

[0131] 3. The server analyzes the facial image

[0132] The server inputs the stored facial image data into an AI model to detect and analyze facial feature points. This analysis uses a face detection model and a skeletal analysis model. Based on the feature points output by the AI ​​model, a unique algorithm is used to quantify the facial structure and impression.

[0133] Example: The server uses a face detection model to identify features such as the eyes, nose, and mouth, and obtains data such as "distance between eyes: 50px, height of nose: 40px."

[0134] 4. The server generates the optimal eyebrow shape based on the analysis results

[0135] Based on the analysis results, the server generates multiple optimal eyebrow shapes for the user, proposing arched, straight, curved, and other shapes as candidates, and setting the appropriate parameters for each shape.

[0136] Example: Based on the analysis results, the server generates data such as "Arched eyebrows: angle 30 degrees, length 50px, thickness 5px" and "Straight eyebrows: angle 0 degrees, length 55px, thickness 4px."

[0137] 5. The server suggests beauty facilities and tools

[0138] The server uses the user's location information to select beauty salons and related tools that can achieve the proposed eyebrow shape. The beauty salon information includes location, reviews, and service details. For the tools, the server provides an online purchase link.

[0139] Example: Based on the user's location information "Shibuya Ward, Tokyo," the server suggests a nearby beauty salon, "Shibuya Beauty Salon," and provides information such as "Favorite eyebrow shape: Arched, Rating: 4.5 / 5." It also provides the tool "Eyebrow pencil: Price: 1,000 yen, Purchase link: example.com / item123."

[0140] 6. The server generates reference images and drawing data

[0141] The server generates reference images and drawing data so that users can visually check the proposed eyebrow shape, allowing them to visualize the final result.

[0142] Example: The server overlays arched eyebrows onto the user's face image and saves it as "sample_arch_eyebrow.jpg". The drawing data is saved in SVG format as " <svg> ...< / svg> " is generated.

[0143] 7. The server sends and displays the results to the user

[0144] The server sends the generated results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which receives the data and displays it to the user via the app.

[0145] Example: The server sends the results to the user's device via a REST API. The app on the device uses the received data to display a message such as, "Arched eyebrows are perfect for you. Make an appointment at the salon using the link below."

[0146] Prompt Sentence Examples

[0147] 1. "Can you analyze a photo of a user's face to determine their facial structure and appearance?"

[0148] 2. "Please suggest three optimal eyebrow shapes for this face image."

[0149] 3. "Please list nearby beauty salons that can achieve the proposed eyebrow shape."

[0150] 4. "Generate an online purchase link for eyebrow shaping tools."

[0151] In accordance with the above aspects, the present invention allows users to easily identify the eyebrow shape that best suits them and provides specific instructions for achieving that shape.

[0152] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0153] Step 1:

[0154] The user takes a photograph of their face and uploads it to the server from their terminal.

[0155] Input: A face image taken by the user.

[0156] How it works: The user takes a picture of their face using a smartphone camera or a dedicated app. Once the picture is taken, the facial image data is uploaded to the server via the app.

[0157] Output: Facial image data sent from the device.

[0158] Step 2:

[0159] The server receives the facial image data and stores it in a database.

[0160] Input: Facial image data sent from the device.

[0161] Operation: The server receives an HTTP POST request and saves the face image data to the specified directory. Metadata (user ID, upload time, etc.) is also recorded.

[0162] Output: Facial image data and metadata stored in a database.

[0163] Step 3:

[0164] The server analyzes the stored facial image data and detects facial feature points.

[0165] Input: Stored face image data.

[0166] How it works: The server inputs facial image data into AI models (face detection model, skeletal analysis model) to detect facial features (eyes, nose, mouth, etc.), and then quantifies the facial bone structure and impression based on this.

[0167] Output: Facial feature point data and quantified facial structure and impression data based on that data.

[0168] Step 4:

[0169] The server generates the optimal eyebrow shape based on the analysis results.

[0170] Input: Facial feature point data and quantified data of facial structure and impression.

[0171] How it works: Based on the analysis results, the server generates multiple eyebrow shapes that are optimal for the user, setting parameters appropriate for each shape, such as arched, straight, or curved.

[0172] Output: Generated optimal eyebrow shape data.

[0173] Step 5:

[0174] The server generates information for suggesting beauty facilities and tools.

[0175] Input: Generated optimal eyebrow shape data and user location information.

[0176] How it works: The server selects beauty salons (location, ratings, service details) and related tools (eyebrow pencils, eyebrow trimmers, etc.) based on the user's location information. It also provides online purchasing links for the tools.

[0177] Output: Information about the proposed beauty facility and a link to purchase the tools.

[0178] Step 6:

[0179] The server generates reference images and drawing data so that the proposed eyebrow shape can be visually confirmed.

[0180] Input: Generated optimal eyebrow shape data.

[0181] How it works: The server overlays the proposed eyebrow shape onto the user's facial image and generates reference images and drawing data, providing a concrete image.

[0182] Output: Generated reference images and drawing data.

[0183] Step 7:

[0184] The server sends the generated results to the user's terminal, which displays them.

[0185] Input: Generated results (optimal eyebrow shape, beauty facility information, links to purchase tools, reference images, etc.).

[0186] How it works: The server sends the results to the user's device via the REST API. The device app displays the information to the user based on the received data.

[0187] Output: The resulting information displayed on the user's terminal.

[0188] (Application example 1)

[0189] 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."

[0190] It takes a lot of time and effort for a user to identify the best eyebrow shape for them and then have it realized at a beauty salon. In particular, the user needs to understand their facial features and gather a lot of information to find the right shape. It can also be difficult for beauty salon staff to quickly and accurately respond to the user's requests. Therefore, there is a need for a system that can help users quickly identify the best eyebrow shape at a beauty salon and receive beauty treatments.

[0191] 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.

[0192] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression, means for suggesting beauty facilities and tools for achieving the generated eyebrow shape, means including a visual device for displaying in real time an image of the generated eyebrow shape actually applied, and information providing means for a beauty facility staff member to confirm the proposed shape and quickly reflect the treatment details. This enables a user to easily identify the optimal eyebrow shape for themselves and quickly receive specific instructions for achieving that shape at a beauty salon.

[0193] A "user-operated terminal" refers to a portable electronic device that can be used and operated by the user, such as a smartphone or tablet terminal.

[0194] A "face image" is still image data of a user's face, and refers to image data that includes facial features and bone structure.

[0195] The "receiving means" refers to a function for transmitting image data from a terminal operated by a user to a server and for the server to receive the image data.

[0196] "Means of analyzing to identify facial structure and impression" refers to the process of using AI technology to analyze received facial images and identify the facial structure and overall impression.

[0197] The "means for generating an optimal eyebrow shape" refers to a function for automatically generating an optimal eyebrow shape for a user based on the identified facial structure and impression.

[0198] "Means for suggesting beauty facilities and tools" refers to a function for suggesting to the user specific beauty facilities and beauty tools for achieving the generated eyebrow shape.

[0199] "Means including a visual device" refers to functionality that includes a device (e.g., a smart mirror or tablet device) for visually displaying to the user what the generated eyebrow shape will look like.

[0200] "Information provision means" refers to a function that allows the proposed eyebrow shape and treatment details to be quickly communicated to the staff at the beauty facility.

[0201] "Means for utilizing location information" refers to a function that utilizes the user's current location information to select the most suitable beauty facility.

[0202] "Means for generating images and drawing data" refers to a function for creating still images and drawing data for specifically visualizing the proposed eyebrow shape.

[0203] The present invention is a system that analyzes a facial image captured by a user's device and proposes an optimal eyebrow shape for the user. This system includes a device, a server, an AI model, and a visual device. The following describes in detail specific embodiments of the present invention.

[0204] First, the user takes a photo of their face using a smartphone or tablet device and uploads it to the server using a dedicated application. This device must be equipped with a camera and internet connection.

[0205] Next, the server receives the facial image sent by the user. This server uses a high-performance computer or a cloud service and has the function of receiving and storing data. For example, a server program using Python or Java (registered trademark) or a cloud service such as Amazon Web Services (AWS (registered trademark)) or Microsoft (registered trademark) can be used.

[0206] The received facial images are analyzed by an AI model on the server. This AI model includes a face detection model and a skeletal analysis model that use libraries and frameworks such as OpenCV, TENSORFLOW (registered trademark), and PyTorch. Specific feature points (eyes, nose, mouth, etc.) are detected from the facial image, and the facial skeletal structure and overall impression are quantified based on this.

[0207] Based on the analysis results, the server generates the optimal eyebrow shape for the user. The generated eyebrow shapes include arched, straight, curved, etc., and selects the shape that best suits the user's bone structure and impression. This generation uses technologies such as semantic segmentation.

[0208] The server also performs processing to suggest beauty salons and tools to achieve the generated eyebrow shape. The server uses the user's location information to select beauty salons, taking into account the reviews and specialty services of nearby beauty salons. It also provides online purchasing links for tools for shaping the eyebrows (e.g., eyebrow trimmers, eyebrow pencils, etc.).

[0209] The proposed brow shape is displayed in real time through a visual device such as a smart mirror or tablet. The visual device must have a high-resolution display and augmented reality (AR) capabilities to allow the user to visualize the generated brow shape. For example, when the user stands in front of the smart mirror, the generated brow shape is displayed in real time against their own face.

[0210] Furthermore, the same information can be provided to the staff at beauty salons, allowing them to quickly update their treatments. This allows users to receive specific instructions at beauty salons on how to achieve the best eyebrow shape for them.

[0211] Specific examples

[0212] A user visits a beauty salon and takes a photo of themselves using the in-store smart mirror. The photo is uploaded to a server, where an AI model analyzes it and generates the optimal eyebrow shape. The results are displayed in real time on the smart mirror, allowing the user to instantly see the new eyebrow shape. The same information is also provided to salon staff, allowing them to quickly perform the optimal treatment.

[0213] Prompt Sentence Examples

[0214] "Design a system that uploads a user's facial image and uses AI technology to analyze the facial structure and impression. It will suggest the optimal eyebrow shape and automatically display the treatment details at the beauty salon. The analysis results will be displayed in real time, allowing the user to confirm the optimal eyebrow shape."

[0215] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0216] Step 1:

[0217] Users take a photo of their face using a smartphone or tablet device and upload it to the server using a dedicated application.

[0218] Input: A captured face image.

[0219] Output: The facial image data is sent to the server.

[0220] Specific operation: Take a photo of your face using the device's camera function, and press the send button in the app to send the image data to the server.

[0221] Step 2:

[0222] The server receives the user's facial image and stores it in a database.

[0223] Input: Facial image data sent by the user.

[0224] Output: Facial image data stored on the server.

[0225] Specific operation: The server stores the facial images received via the HTTPS protocol in a database.

[0226] Step 3:

[0227] The server's AI model analyzes the received facial images and identifies facial bone structure and impression.

[0228] Input: Stored face image data.

[0229] Output: Quantified data of facial structure and impression.

[0230] Specific operation: Facial feature points are extracted using an AI model (OpenCV, TensorFlow, etc.) and facial structure and impression are quantified.

[0231] Step 4:

[0232] Based on the analysis results, the server generates the optimal eyebrow shape for the user.

[0233] Input: Quantified data of facial structure and impression.

[0234] Output: Eyebrow shape data (e.g. arched, straight, etc.).

[0235] Specific operation: Using semantic segmentation technology, generate eyebrow shapes that best suit facial characteristics.

[0236] Step 5:

[0237] The server then suggests beauty facilities and tools to achieve the generated eyebrow shape.

[0238] Input: Eyebrow shape data and user location information.

[0239] Output: Information on proposed beauty facilities and tools.

[0240] Specific operation: Using location information, search for and suggest highly rated facilities and suitable tools from a database of nearby beauty salons.

[0241] Step 6:

[0242] The server displays the generated eyebrow shape on a visual device in real time.

[0243] Input: Eyebrow shape data and face image.

[0244] Output: An improved face image displayed on a visual device.

[0245] Specific operation: Sends drawing data to a smart mirror or tablet device to display the generated eyebrow shape in real time.

[0246] Step 7:

[0247] The beauty facility staff will review the proposed form and provide information to quickly implement the treatment.

[0248] Input: Proposed brow shape and procedure information.

[0249] Output: Information about the treatment details is reflected in the beauty facility's system.

[0250] Specific operation: Detailed information about the treatment is sent to the staff member's tablet device and the beauty facility's management system.

[0251] 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.

[0252] The present invention is a system that receives a facial image taken by a user's device, analyzes the image, and identifies the facial structure and impression. It also combines an emotion engine that recognizes the user's emotions and proposes an optimal eyebrow shape based on the analysis results. The system is implemented as follows.

[0253] The user takes a picture of their face using a smartphone. The device then uploads the image data to a server. The server then uses AI technology to analyze the received facial image and identify the facial bone structure and impression. Based on the analysis results, the server generates the optimal eyebrow shape for the user. In doing so, it uses an emotion engine to recognize the user's emotions and adjusts the eyebrow shape accordingly. The system also provides information on beauty facilities and tools needed to achieve that shape.

[0254] Specifically, the server performs the process in the following steps.

[0255] 1. Means of Receiving

[0256] The server receives the face image sent from the user's terminal and stores the data.

[0257] 2. Analysis Methods

[0258] The server uses pre-trained AI models (face detection model, skeletal analysis model, etc.) to analyze facial images. It detects specific features (e.g., eyes, nose, mouth, etc.) from the facial image and quantifies the facial structure and overall impression based on them.

[0259] 3. Emotion Engine

[0260] The server applies an emotion engine to recognize the user's emotions from the received facial image. The emotion engine analyzes facial expressions and subtle changes to recognize the emotion the user is currently feeling. For example, it identifies emotions such as joy, sadness, surprise, and anger.

[0261] 4. Means of generation

[0262] The server generates multiple optimal eyebrow shapes based on the analysis and emotion recognition results. From the generated data, it selects candidate eyebrow shapes such as arched, straight, and curved, and fine-tunes them according to the user's emotions.

[0263] 5. Proposed measures

[0264] The server references a database of beauty salons and tools based on the generated eyebrow shape, and uses location information to obtain information on beauty salons and necessary tools near the user.

[0265] 6. Generating images and drawing data

[0266] The server visualizes the proposed eyebrow shape and generates images and drawing data for the user to check.

[0267] 7. Presentation of results

[0268] The server sends these results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which then displays them to the user.

[0269] Specific examples

[0270] For example, a user takes a photo of their face with their smartphone and uploads it to the system via an app. The server receives the facial image and uses an AI model to analyze the facial structure and overall impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly soft, arched eyebrow shape as the optimal shape for the user. It also provides a reference image visualizing this, along with information on beauty facilities and tools. Users can check this information on their device, choose a salon of their choice and make a reservation, or purchase the necessary tools online.

[0271] In this way, the present invention realizes a system that allows a user to easily identify the eyebrow shape that is best suited to them, while also taking into consideration the user's feelings, and provides specific instructions for achieving that shape.

[0272] The processing flow will be explained below.

[0273] Step 1:

[0274] The user takes a photo of their face using a smartphone.

[0275] The user uses the camera function of their smartphone to take a photo of their face from the front.

[0276] Step 2:

[0277] The user takes a photo of their face and uploads it to the server via the app.

[0278] The user presses the "Upload" button in the app, selects the captured face photo, and sends it to the server.

[0279] Step 3:

[0280] The server receives the facial photograph sent by the user and stores the data.

[0281] The server confirms receipt and stores the facial photo data in a database.

[0282] Step 4:

[0283] The server loads the AI ​​model to analyze the facial image.

[0284] The server prepares to apply AI models for image analysis (e.g., face detection models, skeletal analysis models).

[0285] Step 5:

[0286] The AI ​​model detects specific features (eyes, nose, mouth, etc.) from a facial photo.

[0287] The AI ​​model identifies the position of each facial feature and quantifies that data.

[0288] Step 6:

[0289] The server identifies the facial structure and impression from the analysis results.

[0290] The server classifies the face shape and overall impression based on the location data of feature points.

[0291] Step 7:

[0292] The server uses an emotion engine to recognize the user's emotions.

[0293] The server uses AI to analyze facial expressions and subtle changes to identify the emotion the user is currently feeling (e.g., joy, sadness, surprise, anger, etc.).

[0294] Step 8:

[0295] The server generates multiple optimal eyebrow shapes based on the analysis results and emotion recognition results.

[0296] The server selects candidate eyebrow shapes such as arched, straight, and curved, and fine-tunes them according to the user's emotions.

[0297] Step 9:

[0298] The server refers to a database of beauty facilities and tools based on the generated eyebrow shape.

[0299] The server uses location information to obtain information about beauty facilities near the user and the necessary tools.

[0300] Step 10:

[0301] The server organizes information on the selected beauty facilities and tools and generates data to make suggestions to users.

[0302] The server generates detailed information including salon ratings, pricing information, and links to purchase tools.

[0303] Step 11:

[0304] The server sends the suggested eyebrow shape and related information to the user's terminal.

[0305] The server sends the transmitted data to the user as a proposal including reference images and text data for the shape of the eyebrows.

[0306] Step 12:

[0307] The terminal visually displays the suggestion results to the user.

[0308] The device will display suggested eyebrow shapes, recommended salon information, and tool links on the screen.

[0309] Step 13:

[0310] The user checks the suggested eyebrow shapes and salons and selects the required action.

[0311] The user checks the proposals and, if desired, makes a salon appointment or purchases the necessary tools online.

[0312] Example 2

[0313] 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."

[0314] Conventional facial image analysis systems only analyze the user's facial structure and impression, without providing personalized suggestions that take into account the user's current emotions. As a result, the suggested eyebrow shapes do not necessarily match the user's emotions or preferences, resulting in low satisfaction. Furthermore, the systems often do not provide sufficient information on specific methods, facilities, or tools for achieving the suggested eyebrow shapes. This creates the challenge of requiring users to go to the trouble of searching for additional information themselves.

[0315] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0316] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, emotion recognition means for recognizing the user's emotion from the facial image, means for generating an optimal eyebrow shape for the user based on the identified bone structure, impression, and emotion, means for suggesting beauty facilities and tools for realizing the generated eyebrow shape, means for generating images and drawing data for visualizing the generated eyebrow shape, and means for transmitting and displaying information about the suggested beauty facilities and tools to the user's terminal. This allows the user to receive a proposal for an optimal eyebrow shape based on their facial bone structure, impression, and emotion, and to immediately obtain information about specific facilities and tools for realizing that shape, thereby enabling highly satisfying proposals.

[0317] A "face image" is photographic data of a face taken by a user, and includes facial features (eyes, nose, mouth, etc.).

[0318] "Means for receiving" refers to the function by which the server receives a facial image sent from the user's terminal.

[0319] The "means of analysis" is a function that uses AI technology to analyze the received facial image and identify the facial structure and overall impression.

[0320] The "facial skeleton" refers to the shape of a face that is identified based on the relative positions of feature points such as the eyes, nose, and mouth detected from a facial image.

[0321] "Impression" refers to the overall image judged from the arrangement and shape of facial features, and includes classifications such as "round face" and "oval face."

[0322] "Emotion recognition means" refers to a function that analyzes facial expressions and subtle changes in a facial image to identify the user's emotions (joy, sadness, surprise, anger, etc.).

[0323] The "means for generating" refers to a function that automatically generates multiple optimal eyebrow shapes based on the identified facial structure, impression, and emotion recognition results.

[0324] "Beauty facility" refers to a place such as a beauty parlor or salon that a user can visit to achieve the suggested eyebrow shape.

[0325] "Tools" refers to the cosmetics and makeup tools used to achieve the suggested eyebrow shape at home.

[0326] "Visualization means" refers to a function that creates images or drawing data so that the user can visually confirm the generated eyebrow shape.

[0327] "Means for suggesting" refers to the function of providing data including the generated eyebrow shape and information on beauty facilities and tools to the user's device.

[0328] "Means for transmitting and displaying" refers to a function for transmitting the proposed information to the user's terminal and displaying the information so that the user can confirm it.

[0329] The present invention is a system that analyzes a facial image taken with a device operated by the user and identifies the user's facial structure and impression. It also has the function of recognizing the user's emotions from the facial image and proposing an optimal eyebrow shape based on the analysis results. This system is implemented by the following procedure.

[0330] Hardware and software used

[0331] Hardware:

[0332] Smartphone device (with camera function)

[0333] server

[0334] software:

[0335] AI models for image analysis (e.g., face detection models, skeletal analysis models)

[0336] Emotion recognition engine (e.g. EmotionAPI)

[0337] Image processing libraries (e.g., OpenCV, Pillow)

[0338] Database System

[0339] Location-based services (e.g., Google Maps API)

[0340] E-commerce site integration API (e.g., Amazon Product Advertising API)

[0341] Program processing

[0342] The user takes a picture of their face using the smartphone camera. Then, the user uploads the captured image to the server through the system's application. The server uses a pre-trained AI model (face detection model, skeletal analysis model, etc.) to analyze the received facial image. Specific feature points (eyes, nose, mouth, etc.) are detected from the facial image, and the facial bone structure and overall impression are quantified based on this.

[0343] The server then uses an emotion engine to recognize the user's emotions from the facial image. The emotion engine analyzes facial expressions and subtle changes to identify the emotion the user is currently feeling, such as joy, sadness, surprise, or anger.

[0344] The server generates the optimal eyebrow shape based on facial structure, impression, and emotion recognition results. It uses a generative AI model to generate multiple candidate eyebrow shapes (arched, straight, curved, etc.). The generated eyebrow shape is fine-tuned according to the user's emotion. For example, if the emotion is "joy," a soft, arched eyebrow may be generated.

[0345] The server then provides information on beauty facilities and tools needed to achieve the proposed eyebrow shape. Specifically, it searches a database for beauty facilities and tools and uses location information to obtain information on beauty facilities and tools needed near the user.

[0346] To visualize the generated eyebrow shape, the server generates image and drawing data. The generated eyebrow shape is overlaid on the user's face image so that the user can visually confirm it. For this, an image processing library (e.g., OpenCV, Pillow) is used.

[0347] Finally, the server sends these results (optimal eyebrow shape, information on beauty salons, links to purchase tools, reference images, etc.) to the user's device. The device displays the received results to the user, who can then check the proposed eyebrow shape, make a reservation at a beauty salon, or purchase the necessary tools online.

[0348] Specific examples

[0349] For example, a user takes a photo of their face with their smartphone and uploads it to the system via an app. The server receives the facial image and uses an AI model to analyze the facial structure and overall impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly soft, arched eyebrow shape as the optimal shape for the user. It also provides a reference image visualizing this, along with information on beauty facilities and tools. Users can check this information on their device, choose a salon of their choice and make a reservation, or purchase the necessary tools online.

[0350] Prompt Sentence Examples

[0351] "Upload an image of your face. The system will analyze your facial structure and overall impression to identify your current emotion. Based on the analysis results, it will suggest the best eyebrow shape for you. It will also show you information about beauty facilities and the tools you need to achieve that shape."

[0352] In this way, the present invention is a system that allows a user to easily identify the eyebrow shape that is best suited to them, while also taking into consideration the user's feelings, and provides specific instructions for achieving that shape.

[0353] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0354] Step 1: Take and upload a photo of your face

[0355] The user takes a picture of their face using the smartphone camera. Specifically, the user activates the camera function in the app and takes a picture of their face from the front.

[0356] Input: Photographed face image data.

[0357] Output: Facial image data is saved on the smartphone device.

[0358] The user uploads a facial image to the server through the app, which involves tapping the "upload image" button on the app.

[0359] Step 2: Receiving face images from the server

[0360] The server receives the face image sent from the user's terminal.

[0361] Input: User's face image data.

[0362] Output: The received facial image data is stored on the server.

[0363] The server checks the integrity of the image data and stores it in storage.

[0364] Step 3: Analyze the facial image

[0365] The server analyzes the facial image using AI models (face detection model, skeletal analysis model).

[0366] Input: Received facial image data.

[0367] Output: Facial feature point information, facial bone structure and overall impression numerical data.

[0368] The server uses an image processing library (e.g., OpenCV) to detect facial features (eyes, nose, mouth, etc.), and then uses an AI model (e.g., face detection model) to identify the facial bone structure based on these features and classify the face impression (round, oval, square, etc.).

[0369] Step 4: Emotion Recognition

[0370] The server uses an emotion engine to recognize the emotion of the user from the face image.

[0371] Input: Received facial image data.

[0372] Output: Emotion data (e.g., joy, sadness, surprise, anger, etc.).

[0373] The server uses an emotion recognition API (e.g., EmotionAPI) to analyze facial expressions and subtle changes to identify the current emotion.

[0374] Step 5: Generate the optimal brow shape

[0375] The server generates the optimal eyebrow shape based on facial structure, impression, and emotion recognition results.

[0376] Input: Facial feature point information, numerical data of facial structure and overall impression, emotion data.

[0377] Output: Several optimal eyebrow shape data (arched, straight, curved, etc.).

[0378] The server uses a generative AI model to generate multiple eyebrow shape candidates and fine-tunes them according to the user's emotions.

[0379] Step 6: Search for information on beauty facilities and tools

[0380] The server searches for information on beauty facilities and tools that can achieve the generated eyebrow shape.

[0381] Input: Generated eyebrow shape data, user location information.

[0382] Output: A list of beauty facilities, links to purchase tools.

[0383] The server uses location information services (e.g., Google Maps API) and e-commerce site integration APIs (e.g., Amazon Product Advertising API) to obtain information about beauty salons near the user and the necessary tools.

[0384] Step 7: Visualizing the generated eyebrow shape

[0385] The server generates images and drawing data for visualizing the generated eyebrow shape.

[0386] Input: Generated eyebrow shape data, face image data.

[0387] Output: Facial image data overlaid with visualized eyebrow shapes.

[0388] The server uses an image processing library (e.g., Pillow) to overlay the generated eyebrow shape on the face image, allowing the user to visually confirm it.

[0389] Step 8: Presenting the results

[0390] The server sends the analysis results, including the optimal eyebrow shape, information about beauty facilities, links to purchase tools, and reference images to the user's device.

[0391] Input: Facial feature point information, facial bone structure and impression numerical data, emotion data, generated eyebrow shape data, list of beauty facilities, and links to purchase tools.

[0392] Output: Data sent to the user's device.

[0393] The terminal displays the received results to the user, who can then check the proposed eyebrow shape, make a reservation at a beauty salon, or purchase the necessary tools online.

[0394] (Application example 2)

[0395] 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."

[0396] Conventional systems could analyze a user's facial image to suggest an eyebrow shape, but they were unable to consider the user's emotions or real-time feedback. This made it difficult to suggest the optimal eyebrow shape based on the user's emotions and actual situation. To solve this problem, a system that recognizes the user's emotions and adjusts the eyebrow shape based on that emotion is needed. There is also a need for a system that can analyze facial images in real time in physical stores and suggest the optimal eyebrow shape on the spot.

[0397] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0398] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression, means for suggesting beauty facilities and tools for achieving the generated eyebrow shape, means for recognizing the user's emotions and adjusting the eyebrow shape based on the emotions, and means for analyzing the user's facial image in real time at a physical store and suggesting an optimal eyebrow shape. This makes it possible to suggest an optimal eyebrow shape according to the user's emotions and real-time situation.

[0399] "User-operated device" refers to an electronic device that is operated manually or by voice by a user, such as a smartphone, tablet, or smart glasses.

[0400] The "means for receiving a facial image" refers to a means for transmitting a facial image taken by a user with a terminal to a server via a network and receiving the image.

[0401] "Means for identifying facial bone structure and impression" refers to a method that uses AI technology or face detection models to analyze facial features from a facial image and quantify the bone structure and overall impression.

[0402] "Means for generating an optimal eyebrow shape for a user" refers to an algorithm or program that generates multiple optimal eyebrow shapes for a user based on the identified facial structure and impression.

[0403] "Means for suggesting beauty facilities and tools" refers to means for referencing location information and a database in order to suggest beauty facilities and tools to achieve the generated eyebrow shape.

[0404] "Means for recognizing user emotions" refers to a means for using an emotion engine to analyze facial expressions and subtle changes to identify the user's current emotions.

[0405] "Means for adjusting eyebrow shape" refers to an algorithm or program for fine-tuning the generated eyebrow shape based on the perceived user emotion.

[0406] "Means for analyzing a user's facial image in real time in a physical store" refers to means for capturing a user's facial image in real time within a physical store environment and identifying the facial structure and impression on the spot.

[0407] "Means for suggesting the optimal eyebrow shape" refers to means for suggesting the most suitable eyebrow shape for a user based on the results of analysis and emotion recognition.

[0408] This invention is a system that receives a facial image taken by a user's device, analyzes the image, and identifies the facial structure and impression. It also incorporates an emotion engine that recognizes the user's emotions, and proposes an optimal eyebrow shape based on the analysis results. The specific system configuration and operation procedures are described below.

[0409] System configuration

[0410] The system uses the following hardware and software:

[0411] Device: The device the user operates, such as a smartphone, tablet, or smart glasses.

[0412] Server: A computer system that analyzes image data and generates proposal results.

[0413] AI models: face detection models, skeletal analysis models, and emotion recognition models (e.g., DeepFace).

[0414] Network: A communications network for sending and receiving data between user devices and servers.

[0415] Program processing explanation

[0416] 1. Capturing and receiving facial images

[0417] The user terminal captures a facial image using a camera on a smartphone or smart glasses.

[0418] The device uploads the captured image data to a server.

[0419] 2. Facial image analysis

[0420] The server analyzes the received facial images using AI technology.

[0421] Specifically, it uses a pre-trained face detection model and skeletal analysis model to detect feature points (e.g., eyes, nose, mouth, etc.) from an image, and then quantifies the facial structure and impression based on that.

[0422] 3. Applying the Emotion Engine

[0423] The server uses an emotion engine (such as DeepFace) to recognize the user's emotion from the image.

[0424] The emotion engine analyzes facial expressions and subtle changes to identify the user's emotions (e.g., joy, sadness, surprise, anger, etc.).

[0425] 4. Generating the optimal eyebrow shape

[0426] The server generates the optimal eyebrow shape for the user based on facial structure and impression, as well as recognized emotions.

[0427] Fine-tune the generated eyebrow shape (e.g., arched, straight, curved, etc.) according to the user's emotions.

[0428] 5. Proposals for beauty facilities and tools

[0429] The server uses location information to suggest beauty facilities and tools based on the generated eyebrow shape.

[0430] It provides users with information about beauty facilities and links to purchase the necessary tools.

[0431] 6. Visualization and presentation of results

[0432] The server visualizes the generated eyebrow shape and generates images and drawing data so that the user can check it.

[0433] The results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) are sent to the user's device and displayed.

[0434] Specific examples

[0435] For example, a user brings their smartphone to a beauty salon and activates the system. They take a photo of their face with the smartphone camera and instantly upload the image to the server. The server receives the facial image and uses an AI model to analyze the facial structure and impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly arched, softly contoured eyebrow as the optimal shape for the user. It also provides a reference image of this shape, along with information on beauty facilities and tools. The user can check this information on their device, choose a salon of their choice, make a reservation, or purchase the necessary tools online.

[0436] Prompt Sentence Examples

[0437] Below is an example of a prompt sentence to input to the generative AI model.

[0438] "The user took a photo of their face with their smartphone at a beauty salon. The system analyzed this photo and recognized the user's facial structure and current emotion. Based on the results, please suggest the optimal eyebrow shape. If there are multiple optimal shapes, please suggest the most suitable one. Please also suggest the beauty facilities and related tools needed to achieve that shape."

[0439] The system allows users to instantly find the perfect eyebrow shape for them and take immediate action to achieve that shape, while also allowing hairstylists to provide services based on specific requests.

[0440] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0441] Step 1:

[0442] A user takes a picture of their face using the camera of the device. The taken face image is temporarily stored in the device. In this step, the input is the face image captured through the camera, and the output is the image data temporarily stored in the device.

[0443] Step 2:

[0444] The user performs an operation on the terminal to upload an image to the server. The terminal then sends the facial image to the server via the network. In this step, the input is image data temporarily stored in the terminal, and the output is image data sent to the server. A communication method such as the HTTP protocol is used to send the data.

[0445] Step 3:

[0446] The server analyzes the received facial image. First, an AI model (face detection model) is applied to detect specific feature points (e.g., eyes, nose, mouth, etc.) from the facial image. Next, the facial structure and overall impression are quantified based on the detected feature points. In this step, the input is the image data sent to the server, and the output is quantified data (features) of the facial structure and impression. Specific operations include face detection and feature point analysis.

[0447] Step 4:

[0448] The server uses an emotion engine to recognize the user's emotions from the facial image. The emotion engine analyzes facial expressions and subtle changes to identify the emotion the user is currently feeling (e.g., joy, sadness, surprise, anger, etc.). In this step, the input is facial image data and the output is recognized emotion data. Specific operations include the processes of facial expression analysis and emotion recognition.

[0449] Step 5:

[0450] The server generates the optimal eyebrow shape based on the analysis results and emotion recognition results. The generated eyebrow shape (e.g., arched, straight, curved, etc.) is fine-tuned according to the user's emotion. In this step, the input is the facial structure and impression quantification data, as well as emotion data, and the output is the optimal eyebrow shape data. Specific operations include generating and adjusting the eyebrow shape based on an optimization algorithm.

[0451] Step 6:

[0452] The server then suggests beauty facilities and tools to achieve the generated eyebrow shape. Location information is used to provide information on beauty facilities and related tools near the user's current location. In this step, the input is data on the optimal eyebrow shape and the user's location information, and the output is information on suggested beauty facilities and tools. Specific operations include obtaining location information and searching a database.

[0453] Step 7:

[0454] The server generates image and drawing data to visualize the proposed eyebrow shape. This data is sent to the user's device, where the user can check the proposed results. In this step, the input is the optimal eyebrow shape data, and the output is the visualized image and drawing data. Specific operations include image processing and drawing data generation.

[0455] Step 8:

[0456] The user can check the results on the device and make a reservation at a beauty salon or purchase tools. In this step, the input is the visualized image, drawing data, and suggested information, and the output is the user's action (e.g., reservation, purchase). Specific actions include checking the results and selecting an action.

[0457] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0458] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0459] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0460] [Second embodiment]

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

[0462] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0463] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0464] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0465] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0466] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0467] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0468] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0469] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0470] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0471] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0472] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0473] The present invention provides a system for receiving a facial image captured by a user-operated terminal, analyzing the image, and identifying facial structure and impression. The system is implemented as follows.

[0474] The user takes a picture of their face using a smartphone. The device then uploads the image data to a server. The server then uses AI technology to analyze the received facial image and identify the facial bone structure and impression. Based on the analysis results, the server generates the optimal eyebrow shape for the user and provides information on beauty facilities and tools to achieve that shape.

[0475] Specifically, the server performs the process in the following steps.

[0476] 1. Means of Receiving

[0477] The server receives the face image sent from the user's terminal and stores the data.

[0478] 2. Analysis Methods

[0479] The server uses pre-trained AI models (face detection model, skeletal analysis model, etc.) to analyze facial images. It detects specific features (e.g., eyes, nose, mouth, etc.) from the facial image and quantifies the facial structure and overall impression based on them.

[0480] 3. Means of generation

[0481] Based on the analysis results, the server generates multiple eyebrow shapes that are considered to be optimal for the user, such as arched, straight, and curved.

[0482] 4. Proposed measures

[0483] Based on the generated eyebrow shape, the server selects the beauty salon and tools needed to achieve it. The server utilizes the user's location information and takes into account the styles and ratings of nearby salons. It also provides links to purchase tools for shaping the eyebrows (e.g., eyebrow trimmers, eyebrow pencils, etc.).

[0484] 5. Generating images and drawing data

[0485] The server generates reference images and drawing data so that users can visually confirm the proposed eyebrow shape, allowing them to visualize the exact shape.

[0486] 6. Presentation of results

[0487] The server sends the generated results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which then displays them to the user.

[0488] Specific examples

[0489] For example, a user can take a photo of their face with their smartphone and upload it to the system via an app. The server receives the image and uses an AI model to analyze the facial structure and overall impression. Based on the analysis results, the server generates the user's optimal eyebrow shape (arched or straight) and suggests highly rated beauty salons near the user to help them achieve these shapes. At the same time, it also provides online purchasing links for tools needed for at-home eyebrow care (eyebrow trimmers and eyebrow pencils). Users can check this information on their device, choose a salon they like, and make a reservation, or purchase the necessary tools online.

[0490] In this way, the present invention provides a system that allows users to easily identify the eyebrow shape that best suits them and provides specific instructions for achieving that shape.

[0491] The processing flow will be explained below.

[0492] Step 1:

[0493] The user takes a photo of their face using a smartphone.

[0494] Use your smartphone's camera to take a photo of your face from the front.

[0495] Step 2:

[0496] The user takes a photo of their face and uploads it to the server via the app.

[0497] Press the "Upload" button in the app, select the photo you took, and send it to the server.

[0498] Step 3:

[0499] The server receives the facial photograph sent by the user and stores the data.

[0500] The server confirms receipt and stores the facial photo data in a database.

[0501] Step 4:

[0502] The server loads the AI ​​model to analyze the facial photo.

[0503] The server prepares to apply AI models for image analysis (e.g., face detection models, skeletal analysis models).

[0504] Step 5:

[0505] The AI ​​model detects specific features (eyes, nose, mouth, etc.) from a facial photo.

[0506] AI identifies the position of each facial feature and quantifies the data.

[0507] Step 6:

[0508] The server identifies the facial structure and impression from the analysis results.

[0509] The server classifies the face shape and overall impression based on the location data of feature points.

[0510] Step 7:

[0511] Based on the analysis results, the server generates multiple optimal eyebrow shapes.

[0512] From the generated data, eyebrow shapes such as arched, straight, and curved are selected as candidate suggestions.

[0513] Step 8:

[0514] The server refers to a database of beauty facilities and tools based on the generated eyebrow shape.

[0515] By utilizing location information, the system obtains information about beauty facilities and necessary tools near the user.

[0516] Step 9:

[0517] The server organizes information on the selected beauty facilities and tools and generates data to make suggestions to users.

[0518] Create detailed information about your beauty salon, including reviews, pricing information, and links to purchase tools.

[0519] Step 10:

[0520] The server sends the suggested eyebrow shape and related information to the user's terminal.

[0521] To make it easier for the user to understand, images and text data for visually displaying the proposal content are generated and transmitted.

[0522] Step 11:

[0523] The terminal visually displays the suggestion results to the user.

[0524] The device receives the transmitted data and displays the eyebrow shape, recommended salon information, and tool links on the screen.

[0525] Step 12:

[0526] The user checks the suggested eyebrow shapes and salons and selects the required action.

[0527] The user reviews the suggestions and, if they like them, they can make a salon appointment or purchase the tools online.

[0528] Example 1

[0529] 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."

[0530] With conventional systems, it takes a lot of time and effort for users to find the perfect eyebrow shape for themselves, and it is difficult to select beauty facilities and tools. Furthermore, because users cannot visually confirm the proposed eyebrow shape, they are unable to form a concrete image of it. There is a need to solve these problems and provide a means for users to easily find the perfect eyebrow shape and achieve that shape.

[0531] 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.

[0532] In this invention, the server includes means for receiving a facial image captured by a terminal operated by the user, means for analyzing the received facial image to identify the facial bone structure and impression, and means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression. This allows the user to easily find the optimal eyebrow shape for themselves and receive specific instructions for achieving that shape.

[0533] A "user" is a person who operates the system to take a facial image and upload that image.

[0534] A "terminal" is a device operated by a user, and includes hardware such as a smartphone or a personal computer.

[0535] A "face image" is image data obtained by photographing the user's face.

[0536] The "receiving means" is a function that allows the server to receive the face image sent from the terminal.

[0537] The "analysis means" is a function for identifying the facial structure and impression based on the received facial image.

[0538] "Facial skeleton" refers to the structure of the face based on facial features (eyes, nose, mouth, etc.).

[0539] "Impression" refers to the overall atmosphere and feel of a face, calculated based on facial features and bone structure.

[0540] The "optimal eyebrow shape" refers to the eyebrow shape that is determined to be most suitable for the user based on the analyzed facial structure and impression.

[0541] The "means for generating" is a function for determining the optimal eyebrow shape based on the identified bone structure and impression.

[0542] A "reference image" is an image that visually shows the proposed eyebrow shape.

[0543] "Drawing data" refers to data used to draw the proposed eyebrow shape on a computer.

[0544] A "beauty facility" is a salon or store that provides services for shaping eyebrows.

[0545] "Tools" refer to tools such as eyebrow pencils and eyebrow cutters for shaping eyebrows.

[0546] The "means of suggestion" is a function that selects and informs users of beauty facilities and tools based on the eyebrow shape that is best suited to them.

[0547] "Location information" is data for identifying the user's current location or location.

[0548] "Transmitting means" is a communication function for sending the results generated by the server to the terminal.

[0549] The "display means" is a screen display function for showing the results received by the terminal to the user.

[0550] This invention is a system that receives a facial image taken by a terminal operated by a user, analyzes the image to identify the facial structure and impression, and generates and proposes an optimal eyebrow shape for the user. Specific embodiments of this system are described below.

[0551] Hardware and software used

[0552] This system uses the following hardware and software:

[0553] 1. Device: A smartphone, computer, or other device operated by the user.

[0554] 2. Server: A computer that receives and analyzes facial image data, and generates and transmits the results.

[0555] 3. AI models: Face detection models and skeletal analysis models for analyzing facial images.

[0556] 4. Database: A storage system for storing received facial image data and analysis results.

[0557] System Operation Details

[0558] 1. The user takes and uploads a photo of their face

[0559] Users take a picture of their face using a smartphone camera or a dedicated app, and once the photo is taken, the facial image data is uploaded to the system via the app.

[0560] Example: A user opens the app, presses the "Take a Face Picture" button to activate the camera, and then presses the "Upload" button to send the image to the server.

[0561] 2. The server receives and stores the image data

[0562] The server receives the facial image data sent from the user's device and stores it in a database, along with metadata such as the user ID.

[0563] Example: The server receives an HTTP POST request and saves the face image data to a directory such as " / images / user123.jpg". It also records metadata such as "user_id: 123, upload_time: '2023-10-05 10:00:00'".

[0564] 3. The server analyzes the facial image

[0565] The server inputs the stored facial image data into an AI model to detect and analyze facial feature points. This analysis uses a face detection model and a skeletal analysis model. Based on the feature points output by the AI ​​model, a unique algorithm is used to quantify the facial structure and impression.

[0566] Example: The server uses a face detection model to identify features such as the eyes, nose, and mouth, and obtains data such as "distance between eyes: 50px, height of nose: 40px."

[0567] 4. The server generates the optimal eyebrow shape based on the analysis results

[0568] Based on the analysis results, the server generates multiple optimal eyebrow shapes for the user, proposing arched, straight, curved, and other shapes as candidates, and setting the appropriate parameters for each shape.

[0569] Example: Based on the analysis results, the server generates data such as "Arched eyebrows: angle 30 degrees, length 50px, thickness 5px" and "Straight eyebrows: angle 0 degrees, length 55px, thickness 4px."

[0570] 5. The server suggests beauty facilities and tools

[0571] The server uses the user's location information to select beauty salons and related tools that can achieve the proposed eyebrow shape. The beauty salon information includes location, reviews, and service details. For the tools, the server provides an online purchase link.

[0572] Example: Based on the user's location information "Shibuya Ward, Tokyo," the server suggests a nearby beauty salon, "Shibuya Beauty Salon," and provides information such as "Favorite eyebrow shape: Arched, Rating: 4.5 / 5." It also provides the tool "Eyebrow pencil: Price: 1,000 yen, Purchase link: example.com / item123."

[0573] 6. The server generates reference images and drawing data

[0574] The server generates reference images and drawing data so that users can visually check the proposed eyebrow shape, allowing them to visualize the final result.

[0575] Example: The server overlays arched eyebrows onto the user's face image and saves it as "sample_arch_eyebrow.jpg". The drawing data is saved in SVG format as " <svg> ...< / svg> " is generated.

[0576] 7. The server sends and displays the results to the user

[0577] The server sends the generated results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which receives the data and displays it to the user via the app.

[0578] Example: The server sends the results to the user's device via a REST API. The app on the device uses the received data to display a message such as, "Arched eyebrows are perfect for you. Make an appointment at the salon using the link below."

[0579] Prompt Sentence Examples

[0580] 1. "Can you analyze a photo of a user's face to determine their facial structure and appearance?"

[0581] 2. "Please suggest three optimal eyebrow shapes for this face image."

[0582] 3. "Please list nearby beauty salons that can achieve the proposed eyebrow shape."

[0583] 4. "Generate an online purchase link for eyebrow shaping tools."

[0584] In accordance with the above aspects, the present invention allows users to easily identify the eyebrow shape that best suits them and provides specific instructions for achieving that shape.

[0585] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0586] Step 1:

[0587] The user takes a photograph of their face and uploads it to the server from their terminal.

[0588] Input: A face image taken by the user.

[0589] How it works: The user takes a picture of their face using a smartphone camera or a dedicated app. Once the picture is taken, the facial image data is uploaded to the server via the app.

[0590] Output: Facial image data sent from the device.

[0591] Step 2:

[0592] The server receives the facial image data and stores it in a database.

[0593] Input: Facial image data sent from the device.

[0594] Operation: The server receives an HTTP POST request and saves the face image data to the specified directory. Metadata (user ID, upload time, etc.) is also recorded.

[0595] Output: Facial image data and metadata stored in a database.

[0596] Step 3:

[0597] The server analyzes the stored facial image data and detects facial feature points.

[0598] Input: Stored face image data.

[0599] How it works: The server inputs facial image data into AI models (face detection model, skeletal analysis model) to detect facial features (eyes, nose, mouth, etc.), and then quantifies the facial bone structure and impression based on this.

[0600] Output: Facial feature point data and quantified facial structure and impression data based on that data.

[0601] Step 4:

[0602] The server generates the optimal eyebrow shape based on the analysis results.

[0603] Input: Facial feature point data and quantified data of facial structure and impression.

[0604] How it works: Based on the analysis results, the server generates multiple eyebrow shapes that are optimal for the user, setting parameters appropriate for each shape, such as arched, straight, or curved.

[0605] Output: Generated optimal eyebrow shape data.

[0606] Step 5:

[0607] The server generates information for suggesting beauty facilities and tools.

[0608] Input: Generated optimal eyebrow shape data and user location information.

[0609] How it works: The server selects beauty salons (location, ratings, service details) and related tools (eyebrow pencils, eyebrow trimmers, etc.) based on the user's location information. It also provides online purchasing links for the tools.

[0610] Output: Information about the proposed beauty facility and a link to purchase the tools.

[0611] Step 6:

[0612] The server generates reference images and drawing data so that the proposed eyebrow shape can be visually confirmed.

[0613] Input: Generated optimal eyebrow shape data.

[0614] How it works: The server overlays the proposed eyebrow shape onto the user's facial image and generates reference images and drawing data, providing a concrete image.

[0615] Output: Generated reference images and drawing data.

[0616] Step 7:

[0617] The server sends the generated results to the user's terminal, which displays them.

[0618] Input: Generated results (optimal eyebrow shape, beauty facility information, links to purchase tools, reference images, etc.).

[0619] How it works: The server sends the results to the user's device via the REST API. The device app displays the information to the user based on the received data.

[0620] Output: The resulting information displayed on the user's terminal.

[0621] (Application example 1)

[0622] 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."

[0623] It takes a lot of time and effort for a user to identify the best eyebrow shape for them and then have it realized at a beauty salon. In particular, the user needs to understand their facial features and gather a lot of information to find the right shape. It can also be difficult for beauty salon staff to quickly and accurately respond to the user's requests. Therefore, there is a need for a system that can help users quickly identify the best eyebrow shape at a beauty salon and receive beauty treatments.

[0624] 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.

[0625] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression, means for suggesting beauty facilities and tools for achieving the generated eyebrow shape, means including a visual device for displaying in real time an image of the generated eyebrow shape actually applied, and information providing means for a beauty facility staff member to confirm the proposed shape and quickly reflect the treatment details. This enables a user to easily identify the optimal eyebrow shape for themselves and quickly receive specific instructions for achieving that shape at a beauty salon.

[0626] A "user-operated terminal" refers to a portable electronic device that can be used and operated by the user, such as a smartphone or tablet terminal.

[0627] A "face image" is still image data of a user's face, and refers to image data that includes facial features and bone structure.

[0628] The "receiving means" refers to a function for transmitting image data from a terminal operated by a user to a server and for the server to receive the image data.

[0629] "Means of analyzing to identify facial structure and impression" refers to the process of using AI technology to analyze received facial images and identify the facial structure and overall impression.

[0630] The "means for generating an optimal eyebrow shape" refers to a function for automatically generating an optimal eyebrow shape for a user based on the identified facial structure and impression.

[0631] "Means for suggesting beauty facilities and tools" refers to a function for suggesting to the user specific beauty facilities and beauty tools for achieving the generated eyebrow shape.

[0632] "Means including a visual device" refers to functionality that includes a device (e.g., a smart mirror or tablet device) for visually displaying to the user what the generated eyebrow shape will look like.

[0633] "Information provision means" refers to a function that allows the proposed eyebrow shape and treatment details to be quickly communicated to the staff at the beauty facility.

[0634] "Means for utilizing location information" refers to a function that utilizes the user's current location information to select the most suitable beauty facility.

[0635] "Means for generating images and drawing data" refers to a function for creating still images and drawing data for specifically visualizing the proposed eyebrow shape.

[0636] The present invention is a system that analyzes a facial image captured by a user's device and proposes an optimal eyebrow shape for the user. This system includes a device, a server, an AI model, and a visual device. The following describes in detail specific embodiments of the present invention.

[0637] First, the user takes a photo of their face using a smartphone or tablet device and uploads it to the server using a dedicated application. This device must be equipped with a camera and internet connection.

[0638] The server then receives the facial image sent by the user. This server uses a high-performance computer or a cloud service with data reception and storage capabilities. For example, a server program using Python or Java, or a cloud service such as Amazon Web Services (AWS) or Microsoft Azure, can be used.

[0639] The received facial images are analyzed by an AI model on the server. This AI model includes a face detection model and a skeletal analysis model that use libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Specific feature points (eyes, nose, mouth, etc.) are detected from the facial image, and the facial skeletal structure and overall impression are quantified based on this.

[0640] Based on the analysis results, the server generates the optimal eyebrow shape for the user. The generated eyebrow shapes include arched, straight, curved, etc., and selects the shape that best suits the user's bone structure and impression. This generation uses technologies such as semantic segmentation.

[0641] The server also performs processing to suggest beauty salons and tools to achieve the generated eyebrow shape. The server uses the user's location information to select beauty salons, taking into account the reviews and specialty services of nearby beauty salons. It also provides online purchasing links for tools for shaping the eyebrows (e.g., eyebrow trimmers, eyebrow pencils, etc.).

[0642] The proposed brow shape is displayed in real time through a visual device such as a smart mirror or tablet. The visual device must have a high-resolution display and augmented reality (AR) capabilities to allow the user to visualize the generated brow shape. For example, when the user stands in front of the smart mirror, the generated brow shape is displayed in real time against their own face.

[0643] Furthermore, the same information can be provided to the staff at beauty salons, allowing them to quickly update their treatments. This allows users to receive specific instructions at beauty salons on how to achieve the best eyebrow shape for them.

[0644] Specific examples

[0645] A user visits a beauty salon and takes a photo of themselves using the in-store smart mirror. The photo is uploaded to a server, where an AI model analyzes it and generates the optimal eyebrow shape. The results are displayed in real time on the smart mirror, allowing the user to instantly see the new eyebrow shape. The same information is also provided to salon staff, allowing them to quickly perform the optimal treatment.

[0646] Prompt Sentence Examples

[0647] "Design a system that uploads a user's facial image and uses AI technology to analyze the facial structure and impression. It will suggest the optimal eyebrow shape and automatically display the treatment details at the beauty salon. The analysis results will be displayed in real time, allowing the user to confirm the optimal eyebrow shape."

[0648] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0649] Step 1:

[0650] Users take a photo of their face using a smartphone or tablet device and upload it to the server using a dedicated application.

[0651] Input: A captured face image.

[0652] Output: The facial image data is sent to the server.

[0653] Specific operation: Take a photo of your face using the device's camera function, and press the send button in the app to send the image data to the server.

[0654] Step 2:

[0655] The server receives the user's facial image and stores it in a database.

[0656] Input: Facial image data sent by the user.

[0657] Output: Facial image data stored on the server.

[0658] Specific operation: The server stores the facial images received via the HTTPS protocol in a database.

[0659] Step 3:

[0660] The server's AI model analyzes the received facial images and identifies facial bone structure and impression.

[0661] Input: Stored face image data.

[0662] Output: Quantified data of facial structure and impression.

[0663] Specific operation: Facial feature points are extracted using an AI model (OpenCV, TensorFlow, etc.) and facial structure and impression are quantified.

[0664] Step 4:

[0665] Based on the analysis results, the server generates the optimal eyebrow shape for the user.

[0666] Input: Quantified data of facial structure and impression.

[0667] Output: Eyebrow shape data (e.g. arched, straight, etc.).

[0668] Specific operation: Using semantic segmentation technology, generate eyebrow shapes that best suit facial characteristics.

[0669] Step 5:

[0670] The server then suggests beauty facilities and tools to achieve the generated eyebrow shape.

[0671] Input: Eyebrow shape data and user location information.

[0672] Output: Information on proposed beauty facilities and tools.

[0673] Specific operation: Using location information, search for and suggest highly rated facilities and suitable tools from a database of nearby beauty salons.

[0674] Step 6:

[0675] The server displays the generated eyebrow shape on a visual device in real time.

[0676] Input: Eyebrow shape data and face image.

[0677] Output: An improved face image displayed on a visual device.

[0678] Specific operation: Sends drawing data to a smart mirror or tablet device to display the generated eyebrow shape in real time.

[0679] Step 7:

[0680] The beauty facility staff will review the proposed form and provide information to quickly implement the treatment.

[0681] Input: Proposed brow shape and procedure information.

[0682] Output: Information about the treatment details is reflected in the beauty facility's system.

[0683] Specific operation: Detailed information about the treatment is sent to the staff member's tablet device and the beauty facility's management system.

[0684] 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.

[0685] The present invention is a system that receives a facial image taken by a user's device, analyzes the image, and identifies the facial structure and impression. It also combines an emotion engine that recognizes the user's emotions and proposes an optimal eyebrow shape based on the analysis results. The system is implemented as follows.

[0686] The user takes a picture of their face using a smartphone. The device then uploads the image data to a server. The server then uses AI technology to analyze the received facial image and identify the facial bone structure and impression. Based on the analysis results, the server generates the optimal eyebrow shape for the user. In doing so, it uses an emotion engine to recognize the user's emotions and adjusts the eyebrow shape accordingly. The system also provides information on beauty facilities and tools needed to achieve that shape.

[0687] Specifically, the server performs the process in the following steps.

[0688] 1. Means of Receiving

[0689] The server receives the face image sent from the user's terminal and stores the data.

[0690] 2. Analysis Methods

[0691] The server uses pre-trained AI models (face detection model, skeletal analysis model, etc.) to analyze facial images. It detects specific features (e.g., eyes, nose, mouth, etc.) from the facial image and quantifies the facial structure and overall impression based on them.

[0692] 3. Emotion Engine

[0693] The server applies an emotion engine to recognize the user's emotions from the received facial image. The emotion engine analyzes facial expressions and subtle changes to recognize the emotion the user is currently feeling. For example, it identifies emotions such as joy, sadness, surprise, and anger.

[0694] 4. Means of generation

[0695] The server generates multiple optimal eyebrow shapes based on the analysis and emotion recognition results. From the generated data, it selects candidate eyebrow shapes such as arched, straight, and curved, and fine-tunes them according to the user's emotions.

[0696] 5. Proposed measures

[0697] The server references a database of beauty salons and tools based on the generated eyebrow shape, and uses location information to obtain information on beauty salons and necessary tools near the user.

[0698] 6. Generating images and drawing data

[0699] The server visualizes the proposed eyebrow shape and generates images and drawing data for the user to check.

[0700] 7. Presentation of results

[0701] The server sends these results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which then displays them to the user.

[0702] Specific examples

[0703] For example, a user takes a photo of their face with their smartphone and uploads it to the system via an app. The server receives the facial image and uses an AI model to analyze the facial structure and overall impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly soft, arched eyebrow shape as the optimal shape for the user. It also provides a reference image visualizing this, along with information on beauty facilities and tools. Users can check this information on their device, choose a salon of their choice and make a reservation, or purchase the necessary tools online.

[0704] In this way, the present invention realizes a system that allows a user to easily identify the eyebrow shape that is best suited to them, while also taking into consideration the user's feelings, and provides specific instructions for achieving that shape.

[0705] The processing flow will be explained below.

[0706] Step 1:

[0707] The user takes a photo of their face using a smartphone.

[0708] The user uses the camera function of their smartphone to take a photo of their face from the front.

[0709] Step 2:

[0710] The user takes a photo of their face and uploads it to the server via the app.

[0711] The user presses the "Upload" button in the app, selects the captured face photo, and sends it to the server.

[0712] Step 3:

[0713] The server receives the facial photograph sent by the user and stores the data.

[0714] The server confirms receipt and stores the facial photo data in a database.

[0715] Step 4:

[0716] The server loads the AI ​​model to analyze the facial image.

[0717] The server prepares to apply AI models for image analysis (e.g., face detection models, skeletal analysis models).

[0718] Step 5:

[0719] The AI ​​model detects specific features (eyes, nose, mouth, etc.) from a facial photo.

[0720] The AI ​​model identifies the position of each facial feature and quantifies that data.

[0721] Step 6:

[0722] The server identifies the facial structure and impression from the analysis results.

[0723] The server classifies the face shape and overall impression based on the location data of feature points.

[0724] Step 7:

[0725] The server uses an emotion engine to recognize the user's emotions.

[0726] The server uses AI to analyze facial expressions and subtle changes to identify the emotion the user is currently feeling (e.g., joy, sadness, surprise, anger, etc.).

[0727] Step 8:

[0728] The server generates multiple optimal eyebrow shapes based on the analysis results and emotion recognition results.

[0729] The server selects candidate eyebrow shapes such as arched, straight, and curved, and fine-tunes them according to the user's emotions.

[0730] Step 9:

[0731] The server refers to a database of beauty facilities and tools based on the generated eyebrow shape.

[0732] The server uses location information to obtain information about beauty facilities near the user and the necessary tools.

[0733] Step 10:

[0734] The server organizes information on the selected beauty facilities and tools and generates data to make suggestions to users.

[0735] The server generates detailed information including salon ratings, pricing information, and links to purchase tools.

[0736] Step 11:

[0737] The server sends the suggested eyebrow shape and related information to the user's terminal.

[0738] The server sends the transmitted data to the user as a proposal including reference images and text data for the shape of the eyebrows.

[0739] Step 12:

[0740] The terminal visually displays the suggestion results to the user.

[0741] The device will display suggested eyebrow shapes, recommended salon information, and tool links on the screen.

[0742] Step 13:

[0743] The user checks the suggested eyebrow shapes and salons and selects the required action.

[0744] The user checks the proposals and, if desired, makes a salon appointment or purchases the necessary tools online.

[0745] Example 2

[0746] 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."

[0747] Conventional facial image analysis systems only analyze the user's facial structure and impression, without providing personalized suggestions that take into account the user's current emotions. As a result, the suggested eyebrow shapes do not necessarily match the user's emotions or preferences, resulting in low satisfaction. Furthermore, the systems often do not provide sufficient information on specific methods, facilities, or tools for achieving the suggested eyebrow shapes. This creates the challenge of requiring users to go to the trouble of searching for additional information themselves.

[0748] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0749] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, emotion recognition means for recognizing the user's emotion from the facial image, means for generating an optimal eyebrow shape for the user based on the identified bone structure, impression, and emotion, means for suggesting beauty facilities and tools for realizing the generated eyebrow shape, means for generating images and drawing data for visualizing the generated eyebrow shape, and means for transmitting and displaying information about the suggested beauty facilities and tools to the user's terminal. This allows the user to receive a proposal for an optimal eyebrow shape based on their facial bone structure, impression, and emotion, and to immediately obtain information about specific facilities and tools for realizing that shape, thereby enabling highly satisfying proposals.

[0750] A "face image" is photographic data of a face taken by a user, and includes facial features (eyes, nose, mouth, etc.).

[0751] "Means for receiving" refers to the function by which the server receives a facial image sent from the user's terminal.

[0752] The "means of analysis" is a function that uses AI technology to analyze the received facial image and identify the facial structure and overall impression.

[0753] The "facial skeleton" refers to the shape of a face that is identified based on the relative positions of feature points such as the eyes, nose, and mouth detected from a facial image.

[0754] "Impression" refers to the overall image judged from the arrangement and shape of facial features, and includes classifications such as "round face" and "oval face."

[0755] "Emotion recognition means" refers to a function that analyzes facial expressions and subtle changes in a facial image to identify the user's emotions (joy, sadness, surprise, anger, etc.).

[0756] The "means for generating" refers to a function that automatically generates multiple optimal eyebrow shapes based on the identified facial structure, impression, and emotion recognition results.

[0757] "Beauty facility" refers to a place such as a beauty parlor or salon that a user can visit to achieve the suggested eyebrow shape.

[0758] "Tools" refers to the cosmetics and makeup tools used to achieve the suggested eyebrow shape at home.

[0759] "Visualization means" refers to a function that creates images or drawing data so that the user can visually confirm the generated eyebrow shape.

[0760] "Means for suggesting" refers to the function of providing data including the generated eyebrow shape and information on beauty facilities and tools to the user's device.

[0761] "Means for transmitting and displaying" refers to a function for transmitting the proposed information to the user's terminal and displaying the information so that the user can confirm it.

[0762] The present invention is a system that analyzes a facial image taken with a device operated by the user and identifies the user's facial structure and impression. It also has the function of recognizing the user's emotions from the facial image and proposing an optimal eyebrow shape based on the analysis results. This system is implemented by the following procedure.

[0763] Hardware and software used

[0764] Hardware:

[0765] Smartphone device (with camera function)

[0766] server

[0767] software:

[0768] AI models for image analysis (e.g., face detection models, skeletal analysis models)

[0769] Emotion recognition engine (e.g. EmotionAPI)

[0770] Image processing libraries (e.g., OpenCV, Pillow)

[0771] Database System

[0772] Location services (e.g. Google Maps API)

[0773] E-commerce site integration API (e.g., Amazon Product Advertising API)

[0774] Program processing

[0775] The user takes a picture of their face using the smartphone camera. Then, the user uploads the captured image to the server through the system's application. The server uses a pre-trained AI model (face detection model, skeletal analysis model, etc.) to analyze the received facial image. Specific feature points (eyes, nose, mouth, etc.) are detected from the facial image, and the facial bone structure and overall impression are quantified based on this.

[0776] The server then uses an emotion engine to recognize the user's emotions from the facial image. The emotion engine analyzes facial expressions and subtle changes to identify the emotion the user is currently feeling, such as joy, sadness, surprise, or anger.

[0777] The server generates the optimal eyebrow shape based on facial structure, impression, and emotion recognition results. It uses a generative AI model to generate multiple candidate eyebrow shapes (arched, straight, curved, etc.). The generated eyebrow shape is fine-tuned according to the user's emotion. For example, if the emotion is "joy," a soft, arched eyebrow may be generated.

[0778] The server then provides information on beauty facilities and tools needed to achieve the proposed eyebrow shape. Specifically, it searches a database for beauty facilities and tools and uses location information to obtain information on beauty facilities and tools needed near the user.

[0779] To visualize the generated eyebrow shape, the server generates image and drawing data. The generated eyebrow shape is overlaid on the user's face image so that the user can visually confirm it. For this, an image processing library (e.g., OpenCV, Pillow) is used.

[0780] Finally, the server sends these results (optimal eyebrow shape, information on beauty salons, links to purchase tools, reference images, etc.) to the user's device. The device displays the received results to the user, who can then check the proposed eyebrow shape, make a reservation at a beauty salon, or purchase the necessary tools online.

[0781] Specific examples

[0782] For example, a user takes a photo of their face with their smartphone and uploads it to the system via an app. The server receives the facial image and uses an AI model to analyze the facial structure and overall impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly soft, arched eyebrow shape as the optimal shape for the user. It also provides a reference image visualizing this, along with information on beauty facilities and tools. Users can check this information on their device, choose a salon of their choice and make a reservation, or purchase the necessary tools online.

[0783] Prompt Sentence Examples

[0784] "Upload an image of your face. The system will analyze your facial structure and overall impression to identify your current emotion. Based on the analysis results, it will suggest the best eyebrow shape for you. It will also show you information about beauty facilities and the tools you need to achieve that shape."

[0785] In this way, the present invention is a system that allows a user to easily identify the eyebrow shape that is best suited to them, while also taking into consideration the user's feelings, and provides specific instructions for achieving that shape.

[0786] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0787] Step 1: Take and upload a photo of your face

[0788] The user takes a picture of their face using the smartphone camera. Specifically, the user activates the camera function in the app and takes a picture of their face from the front.

[0789] Input: Photographed face image data.

[0790] Output: Facial image data is saved on the smartphone device.

[0791] The user uploads a facial image to the server through the app, which involves tapping the "upload image" button on the app.

[0792] Step 2: Receiving face images from the server

[0793] The server receives the face image sent from the user's terminal.

[0794] Input: User's face image data.

[0795] Output: The received facial image data is stored on the server.

[0796] The server checks the integrity of the image data and stores it in storage.

[0797] Step 3: Analyze the facial image

[0798] The server analyzes the facial image using AI models (face detection model, skeletal analysis model).

[0799] Input: Received facial image data.

[0800] Output: Facial feature point information, facial bone structure and overall impression numerical data.

[0801] The server uses an image processing library (e.g., OpenCV) to detect facial features (eyes, nose, mouth, etc.), and then uses an AI model (e.g., face detection model) to identify the facial bone structure based on these features and classify the face impression (round, oval, square, etc.).

[0802] Step 4: Emotion Recognition

[0803] The server uses an emotion engine to recognize the emotion of the user from the face image.

[0804] Input: Received facial image data.

[0805] Output: Emotion data (e.g., joy, sadness, surprise, anger, etc.).

[0806] The server uses an emotion recognition API (e.g., EmotionAPI) to analyze facial expressions and subtle changes to identify the current emotion.

[0807] Step 5: Generate the optimal brow shape

[0808] The server generates the optimal eyebrow shape based on facial structure, impression, and emotion recognition results.

[0809] Input: Facial feature point information, numerical data of facial structure and overall impression, emotion data.

[0810] Output: Several optimal eyebrow shape data (arched, straight, curved, etc.).

[0811] The server uses a generative AI model to generate multiple eyebrow shape candidates and fine-tunes them according to the user's emotions.

[0812] Step 6: Search for information on beauty facilities and tools

[0813] The server searches for information on beauty facilities and tools that can achieve the generated eyebrow shape.

[0814] Input: Generated eyebrow shape data, user location information.

[0815] Output: A list of beauty facilities, links to purchase tools.

[0816] The server uses location information services (e.g., Google Maps API) and e-commerce site integration APIs (e.g., Amazon Product Advertising API) to obtain information about beauty salons near the user and the necessary tools.

[0817] Step 7: Visualizing the generated eyebrow shape

[0818] The server generates images and drawing data for visualizing the generated eyebrow shape.

[0819] Input: Generated eyebrow shape data, face image data.

[0820] Output: Facial image data overlaid with visualized eyebrow shapes.

[0821] The server uses an image processing library (e.g., Pillow) to overlay the generated eyebrow shape on the face image, allowing the user to visually confirm it.

[0822] Step 8: Presenting the results

[0823] The server sends the analysis results, including the optimal eyebrow shape, information about beauty facilities, links to purchase tools, and reference images to the user's device.

[0824] Input: Facial feature point information, facial bone structure and impression numerical data, emotion data, generated eyebrow shape data, list of beauty facilities, and links to purchase tools.

[0825] Output: Data sent to the user's device.

[0826] The terminal displays the received results to the user, who can then check the proposed eyebrow shape, make a reservation at a beauty salon, or purchase the necessary tools online.

[0827] (Application example 2)

[0828] 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."

[0829] Conventional systems could analyze a user's facial image to suggest an eyebrow shape, but they were unable to consider the user's emotions or real-time feedback. This made it difficult to suggest the optimal eyebrow shape based on the user's emotions and actual situation. To solve this problem, a system that recognizes the user's emotions and adjusts the eyebrow shape based on that emotion is needed. There is also a need for a system that can analyze facial images in real time in physical stores and suggest the optimal eyebrow shape on the spot.

[0830] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0831] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression, means for suggesting beauty facilities and tools for achieving the generated eyebrow shape, means for recognizing the user's emotions and adjusting the eyebrow shape based on the emotions, and means for analyzing the user's facial image in real time at a physical store and suggesting an optimal eyebrow shape. This makes it possible to suggest an optimal eyebrow shape according to the user's emotions and real-time situation.

[0832] "User-operated device" refers to an electronic device that is operated manually or by voice by a user, such as a smartphone, tablet, or smart glasses.

[0833] The "means for receiving a facial image" refers to a means for transmitting a facial image taken by a user with a terminal to a server via a network and receiving the image.

[0834] "Means for identifying facial bone structure and impression" refers to a method that uses AI technology or face detection models to analyze facial features from a facial image and quantify the bone structure and overall impression.

[0835] "Means for generating an optimal eyebrow shape for a user" refers to an algorithm or program that generates multiple optimal eyebrow shapes for a user based on the identified facial structure and impression.

[0836] "Means for suggesting beauty facilities and tools" refers to means for referencing location information and a database in order to suggest beauty facilities and tools to achieve the generated eyebrow shape.

[0837] "Means for recognizing user emotions" refers to a means for using an emotion engine to analyze facial expressions and subtle changes to identify the user's current emotions.

[0838] "Means for adjusting eyebrow shape" refers to an algorithm or program for fine-tuning the generated eyebrow shape based on the perceived user emotion.

[0839] "Means for analyzing a user's facial image in real time in a physical store" refers to means for capturing a user's facial image in real time within a physical store environment and identifying the facial structure and impression on the spot.

[0840] "Means for suggesting the optimal eyebrow shape" refers to means for suggesting the most suitable eyebrow shape for a user based on the results of analysis and emotion recognition.

[0841] This invention is a system that receives a facial image taken by a user's device, analyzes the image, and identifies the facial structure and impression. It also incorporates an emotion engine that recognizes the user's emotions, and proposes an optimal eyebrow shape based on the analysis results. The specific system configuration and operation procedures are described below.

[0842] System configuration

[0843] The system uses the following hardware and software:

[0844] Device: The device the user operates, such as a smartphone, tablet, or smart glasses.

[0845] Server: A computer system that analyzes image data and generates proposal results.

[0846] AI models: face detection models, skeletal analysis models, and emotion recognition models (e.g., DeepFace).

[0847] Network: A communications network for sending and receiving data between user devices and servers.

[0848] Program processing explanation

[0849] 1. Capturing and receiving facial images

[0850] The user terminal captures a facial image using a camera on a smartphone or smart glasses.

[0851] The device uploads the captured image data to a server.

[0852] 2. Facial image analysis

[0853] The server analyzes the received facial images using AI technology.

[0854] Specifically, it uses a pre-trained face detection model and skeletal analysis model to detect feature points (e.g., eyes, nose, mouth, etc.) from an image, and then quantifies the facial structure and impression based on that.

[0855] 3. Applying the Emotion Engine

[0856] The server uses an emotion engine (such as DeepFace) to recognize the user's emotion from the image.

[0857] The emotion engine analyzes facial expressions and subtle changes to identify the user's emotions (e.g., joy, sadness, surprise, anger, etc.).

[0858] 4. Generating the optimal eyebrow shape

[0859] The server generates the optimal eyebrow shape for the user based on facial structure and impression, as well as recognized emotions.

[0860] Fine-tune the generated eyebrow shape (e.g., arched, straight, curved, etc.) according to the user's emotions.

[0861] 5. Proposals for beauty facilities and tools

[0862] The server uses location information to suggest beauty facilities and tools based on the generated eyebrow shape.

[0863] It provides users with information about beauty facilities and links to purchase the necessary tools.

[0864] 6. Visualization and presentation of results

[0865] The server visualizes the generated eyebrow shape and generates images and drawing data so that the user can check it.

[0866] The results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) are sent to the user's device and displayed.

[0867] Specific examples

[0868] For example, a user brings their smartphone to a beauty salon and activates the system. They take a photo of their face with the smartphone camera and instantly upload the image to the server. The server receives the facial image and uses an AI model to analyze the facial structure and impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly arched, softly contoured eyebrow as the optimal shape for the user. It also provides a reference image of this shape, along with information on beauty facilities and tools. The user can check this information on their device, choose a salon of their choice, make a reservation, or purchase the necessary tools online.

[0869] Prompt Sentence Examples

[0870] Below is an example of a prompt sentence to input to the generative AI model.

[0871] "The user took a photo of their face with their smartphone at a beauty salon. The system analyzed this photo and recognized the user's facial structure and current emotion. Based on the results, please suggest the optimal eyebrow shape. If there are multiple optimal shapes, please suggest the most suitable one. Please also suggest the beauty facilities and related tools needed to achieve that shape."

[0872] The system allows users to instantly find the perfect eyebrow shape for them and take immediate action to achieve that shape, while also allowing hairstylists to provide services based on specific requests.

[0873] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0874] Step 1:

[0875] A user takes a picture of their face using the camera of the device. The taken face image is temporarily stored in the device. In this step, the input is the face image captured through the camera, and the output is the image data temporarily stored in the device.

[0876] Step 2:

[0877] The user performs an operation on the terminal to upload an image to the server. The terminal then sends the facial image to the server via the network. In this step, the input is image data temporarily stored in the terminal, and the output is image data sent to the server. A communication method such as the HTTP protocol is used to send the data.

[0878] Step 3:

[0879] The server analyzes the received facial image. First, an AI model (face detection model) is applied to detect specific feature points (e.g., eyes, nose, mouth, etc.) from the facial image. Next, the facial structure and overall impression are quantified based on the detected feature points. In this step, the input is the image data sent to the server, and the output is quantified data (features) of the facial structure and impression. Specific operations include face detection and feature point analysis.

[0880] Step 4:

[0881] The server uses an emotion engine to recognize the user's emotions from the facial image. The emotion engine analyzes facial expressions and subtle changes to identify the emotion the user is currently feeling (e.g., joy, sadness, surprise, anger, etc.). In this step, the input is facial image data and the output is recognized emotion data. Specific operations include the processes of facial expression analysis and emotion recognition.

[0882] Step 5:

[0883] The server generates the optimal eyebrow shape based on the analysis results and emotion recognition results. The generated eyebrow shape (e.g., arched, straight, curved, etc.) is fine-tuned according to the user's emotion. In this step, the input is the facial structure and impression quantification data, as well as emotion data, and the output is the optimal eyebrow shape data. Specific operations include generating and adjusting the eyebrow shape based on an optimization algorithm.

[0884] Step 6:

[0885] The server then suggests beauty facilities and tools to achieve the generated eyebrow shape. Location information is used to provide information on beauty facilities and related tools near the user's current location. In this step, the input is data on the optimal eyebrow shape and the user's location information, and the output is information on suggested beauty facilities and tools. Specific operations include obtaining location information and searching a database.

[0886] Step 7:

[0887] The server generates image and drawing data to visualize the proposed eyebrow shape. This data is sent to the user's device, where the user can check the proposed results. In this step, the input is the optimal eyebrow shape data, and the output is the visualized image and drawing data. Specific operations include image processing and drawing data generation.

[0888] Step 8:

[0889] The user can check the results on the device and make a reservation at a beauty salon or purchase tools. In this step, the input is the visualized image, drawing data, and suggested information, and the output is the user's action (e.g., reservation, purchase). Specific actions include checking the results and selecting an action.

[0890] 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.

[0891] 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.

[0892] 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.

[0893] [Third embodiment]

[0894] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0895] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0896] 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).

[0897] 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.

[0898] 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.

[0899] 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).

[0900] 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.

[0901] 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.

[0902] 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.

[0903] 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.

[0904] 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.

[0905] 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."

[0906] The present invention provides a system for receiving a facial image captured by a user-operated terminal, analyzing the image, and identifying facial structure and impression. The system is implemented as follows.

[0907] The user takes a picture of their face using a smartphone. The device then uploads the image data to a server. The server then uses AI technology to analyze the received facial image and identify the facial bone structure and impression. Based on the analysis results, the server generates the optimal eyebrow shape for the user and provides information on beauty facilities and tools to achieve that shape.

[0908] Specifically, the server performs the process in the following steps.

[0909] 1. Means of Receiving

[0910] The server receives the face image sent from the user's terminal and stores the data.

[0911] 2. Analysis Methods

[0912] The server uses pre-trained AI models (face detection model, skeletal analysis model, etc.) to analyze facial images. It detects specific features (e.g., eyes, nose, mouth, etc.) from the facial image and quantifies the facial structure and overall impression based on them.

[0913] 3. Means of generation

[0914] Based on the analysis results, the server generates multiple eyebrow shapes that are considered to be optimal for the user, such as arched, straight, and curved.

[0915] 4. Proposed measures

[0916] Based on the generated eyebrow shape, the server selects the beauty salon and tools needed to achieve it. The server utilizes the user's location information and takes into account the styles and ratings of nearby salons. It also provides links to purchase tools for shaping the eyebrows (e.g., eyebrow trimmers, eyebrow pencils, etc.).

[0917] 5. Generating images and drawing data

[0918] The server generates reference images and drawing data so that users can visually confirm the proposed eyebrow shape, allowing them to visualize the exact shape.

[0919] 6. Presentation of results

[0920] The server sends the generated results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which then displays them to the user.

[0921] Specific examples

[0922] For example, a user can take a photo of their face with their smartphone and upload it to the system via an app. The server receives the image and uses an AI model to analyze the facial structure and overall impression. Based on the analysis results, the server generates the user's optimal eyebrow shape (arched or straight) and suggests highly rated beauty salons near the user to help them achieve these shapes. At the same time, it also provides online purchasing links for tools needed for at-home eyebrow care (eyebrow trimmers and eyebrow pencils). Users can check this information on their device, choose a salon they like, and make a reservation, or purchase the necessary tools online.

[0923] In this way, the present invention provides a system that allows users to easily identify the eyebrow shape that best suits them and provides specific instructions for achieving that shape.

[0924] The processing flow will be explained below.

[0925] Step 1:

[0926] The user takes a photo of their face using a smartphone.

[0927] Use your smartphone's camera to take a photo of your face from the front.

[0928] Step 2:

[0929] The user takes a photo of their face and uploads it to the server via the app.

[0930] Press the "Upload" button in the app, select the photo you took, and send it to the server.

[0931] Step 3:

[0932] The server receives the facial photograph sent by the user and stores the data.

[0933] The server confirms receipt and stores the facial photo data in a database.

[0934] Step 4:

[0935] The server loads the AI ​​model to analyze the facial photo.

[0936] The server prepares to apply AI models for image analysis (e.g., face detection models, skeletal analysis models).

[0937] Step 5:

[0938] The AI ​​model detects specific features (eyes, nose, mouth, etc.) from a facial photo.

[0939] AI identifies the position of each facial feature and quantifies the data.

[0940] Step 6:

[0941] The server identifies the facial structure and impression from the analysis results.

[0942] The server classifies the face shape and overall impression based on the location data of feature points.

[0943] Step 7:

[0944] Based on the analysis results, the server generates multiple optimal eyebrow shapes.

[0945] From the generated data, eyebrow shapes such as arched, straight, and curved are selected as candidate suggestions.

[0946] Step 8:

[0947] The server refers to a database of beauty facilities and tools based on the generated eyebrow shape.

[0948] By utilizing location information, the system obtains information about beauty facilities and necessary tools near the user.

[0949] Step 9:

[0950] The server organizes information on the selected beauty facilities and tools and generates data to make suggestions to users.

[0951] Create detailed information about your beauty salon, including reviews, pricing information, and links to purchase tools.

[0952] Step 10:

[0953] The server sends the suggested eyebrow shape and related information to the user's terminal.

[0954] To make it easier for the user to understand, images and text data for visually displaying the proposal content are generated and transmitted.

[0955] Step 11:

[0956] The terminal visually displays the suggestion results to the user.

[0957] The device receives the transmitted data and displays the eyebrow shape, recommended salon information, and tool links on the screen.

[0958] Step 12:

[0959] The user checks the suggested eyebrow shapes and salons and selects the required action.

[0960] The user reviews the suggestions and, if they like them, they can make a salon appointment or purchase the tools online.

[0961] Example 1

[0962] 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."

[0963] With conventional systems, it takes a lot of time and effort for users to find the perfect eyebrow shape for themselves, and it is difficult to select beauty facilities and tools. Furthermore, because users cannot visually confirm the proposed eyebrow shape, they are unable to form a concrete image of it. There is a need to solve these problems and provide a means for users to easily find the perfect eyebrow shape and achieve that shape.

[0964] 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.

[0965] In this invention, the server includes means for receiving a facial image captured by a terminal operated by the user, means for analyzing the received facial image to identify the facial bone structure and impression, and means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression. This allows the user to easily find the optimal eyebrow shape for themselves and receive specific instructions for achieving that shape.

[0966] A "user" is a person who operates the system to take a facial image and upload that image.

[0967] A "terminal" is a device operated by a user, and includes hardware such as a smartphone or a personal computer.

[0968] A "face image" is image data obtained by photographing the user's face.

[0969] The "receiving means" is a function that allows the server to receive the face image sent from the terminal.

[0970] The "analysis means" is a function for identifying the facial structure and impression based on the received facial image.

[0971] "Facial skeleton" refers to the structure of the face based on facial features (eyes, nose, mouth, etc.).

[0972] "Impression" refers to the overall atmosphere and feel of a face, calculated based on facial features and bone structure.

[0973] The "optimal eyebrow shape" refers to the eyebrow shape that is determined to be most suitable for the user based on the analyzed facial structure and impression.

[0974] The "means for generating" is a function for determining the optimal eyebrow shape based on the identified bone structure and impression.

[0975] A "reference image" is an image that visually shows the proposed eyebrow shape.

[0976] "Drawing data" refers to data used to draw the proposed eyebrow shape on a computer.

[0977] A "beauty facility" is a salon or store that provides services for shaping eyebrows.

[0978] "Tools" refer to tools such as eyebrow pencils and eyebrow cutters for shaping eyebrows.

[0979] The "means of suggestion" is a function that selects and informs users of beauty facilities and tools based on the eyebrow shape that is best suited to them.

[0980] "Location information" is data for identifying the user's current location or location.

[0981] "Transmitting means" is a communication function for sending the results generated by the server to the terminal.

[0982] The "display means" is a screen display function for showing the results received by the terminal to the user.

[0983] This invention is a system that receives a facial image taken by a terminal operated by a user, analyzes the image to identify the facial structure and impression, and generates and proposes an optimal eyebrow shape for the user. Specific embodiments of this system are described below.

[0984] Hardware and software used

[0985] This system uses the following hardware and software:

[0986] 1. Device: A smartphone, computer, or other device operated by the user.

[0987] 2. Server: A computer that receives and analyzes facial image data, and generates and transmits the results.

[0988] 3. AI models: Face detection models and skeletal analysis models for analyzing facial images.

[0989] 4. Database: A storage system for storing received facial image data and analysis results.

[0990] System Operation Details

[0991] 1. The user takes and uploads a photo of their face

[0992] Users take a picture of their face using a smartphone camera or a dedicated app, and once the photo is taken, the facial image data is uploaded to the system via the app.

[0993] Example: A user opens the app, presses the "Take a Face Picture" button to activate the camera, and then presses the "Upload" button to send the image to the server.

[0994] 2. The server receives and stores the image data

[0995] The server receives the facial image data sent from the user's device and stores it in a database, along with metadata such as the user ID.

[0996] Example: The server receives an HTTP POST request and saves the face image data to a directory such as " / images / user123.jpg". It also records metadata such as "user_id: 123, upload_time: '2023-10-05 10:00:00'".

[0997] 3. The server analyzes the facial image

[0998] The server inputs the stored facial image data into an AI model to detect and analyze facial feature points. This analysis uses a face detection model and a skeletal analysis model. Based on the feature points output by the AI ​​model, a unique algorithm is used to quantify the facial structure and impression.

[0999] Example: The server uses a face detection model to identify features such as the eyes, nose, and mouth, and obtains data such as "distance between eyes: 50px, height of nose: 40px."

[1000] 4. The server generates the optimal eyebrow shape based on the analysis results

[1001] Based on the analysis results, the server generates multiple optimal eyebrow shapes for the user, proposing arched, straight, curved, and other shapes as candidates, and setting the appropriate parameters for each shape.

[1002] Example: Based on the analysis results, the server generates data such as "Arched eyebrows: angle 30 degrees, length 50px, thickness 5px" and "Straight eyebrows: angle 0 degrees, length 55px, thickness 4px."

[1003] 5. The server suggests beauty facilities and tools

[1004] The server uses the user's location information to select beauty salons and related tools that can achieve the proposed eyebrow shape. The beauty salon information includes location, reviews, and service details. For the tools, the server provides an online purchase link.

[1005] Example: Based on the user's location information "Shibuya Ward, Tokyo," the server suggests a nearby beauty salon, "Shibuya Beauty Salon," and provides information such as "Favorite eyebrow shape: Arched, Rating: 4.5 / 5." It also provides the tool "Eyebrow pencil: Price: 1,000 yen, Purchase link: example.com / item123."

[1006] 6. The server generates reference images and drawing data

[1007] The server generates reference images and drawing data so that users can visually check the proposed eyebrow shape, allowing them to visualize the final result.

[1008] Example: The server overlays arched eyebrows onto the user's face image and saves it as "sample_arch_eyebrow.jpg". The drawing data is saved in SVG format as " <svg> ...< / svg> " is generated.

[1009] 7. The server sends and displays the results to the user

[1010] The server sends the generated results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which receives the data and displays it to the user via the app.

[1011] Example: The server sends the results to the user's device via a REST API. The app on the device uses the received data to display a message such as, "Arched eyebrows are perfect for you. Make an appointment at the salon using the link below."

[1012] Prompt Sentence Examples

[1013] 1. "Can you analyze a photo of a user's face to determine their facial structure and appearance?"

[1014] 2. "Please suggest three optimal eyebrow shapes for this face image."

[1015] 3. "Please list nearby beauty salons that can achieve the proposed eyebrow shape."

[1016] 4. "Generate an online purchase link for eyebrow shaping tools."

[1017] In accordance with the above aspects, the present invention allows users to easily identify the eyebrow shape that best suits them and provides specific instructions for achieving that shape.

[1018] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1019] Step 1:

[1020] The user takes a photograph of their face and uploads it to the server from their terminal.

[1021] Input: A face image taken by the user.

[1022] How it works: The user takes a picture of their face using a smartphone camera or a dedicated app. Once the picture is taken, the facial image data is uploaded to the server via the app.

[1023] Output: Facial image data sent from the device.

[1024] Step 2:

[1025] The server receives the facial image data and stores it in a database.

[1026] Input: Facial image data sent from the device.

[1027] Operation: The server receives an HTTP POST request and saves the face image data to the specified directory. Metadata (user ID, upload time, etc.) is also recorded.

[1028] Output: Facial image data and metadata stored in a database.

[1029] Step 3:

[1030] The server analyzes the stored facial image data and detects facial feature points.

[1031] Input: Stored face image data.

[1032] How it works: The server inputs facial image data into AI models (face detection model, skeletal analysis model) to detect facial features (eyes, nose, mouth, etc.), and then quantifies the facial bone structure and impression based on this.

[1033] Output: Facial feature point data and quantified facial structure and impression data based on that data.

[1034] Step 4:

[1035] The server generates the optimal eyebrow shape based on the analysis results.

[1036] Input: Facial feature point data and quantified data of facial structure and impression.

[1037] How it works: Based on the analysis results, the server generates multiple eyebrow shapes that are optimal for the user, setting parameters appropriate for each shape, such as arched, straight, or curved.

[1038] Output: Generated optimal eyebrow shape data.

[1039] Step 5:

[1040] The server generates information for suggesting beauty facilities and tools.

[1041] Input: Generated optimal eyebrow shape data and user location information.

[1042] How it works: The server selects beauty salons (location, ratings, service details) and related tools (eyebrow pencils, eyebrow trimmers, etc.) based on the user's location information. It also provides online purchasing links for the tools.

[1043] Output: Information about the proposed beauty facility and a link to purchase the tools.

[1044] Step 6:

[1045] The server generates reference images and drawing data so that the proposed eyebrow shape can be visually confirmed.

[1046] Input: Generated optimal eyebrow shape data.

[1047] How it works: The server overlays the proposed eyebrow shape onto the user's facial image and generates reference images and drawing data, providing a concrete image.

[1048] Output: Generated reference images and drawing data.

[1049] Step 7:

[1050] The server sends the generated results to the user's terminal, which displays them.

[1051] Input: Generated results (optimal eyebrow shape, beauty facility information, links to purchase tools, reference images, etc.).

[1052] How it works: The server sends the results to the user's device via the REST API. The device app displays the information to the user based on the received data.

[1053] Output: The resulting information displayed on the user's terminal.

[1054] (Application example 1)

[1055] 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."

[1056] It takes a lot of time and effort for a user to identify the best eyebrow shape for them and then have it realized at a beauty salon. In particular, the user needs to understand their facial features and gather a lot of information to find the right shape. It can also be difficult for beauty salon staff to quickly and accurately respond to the user's requests. Therefore, there is a need for a system that can help users quickly identify the best eyebrow shape at a beauty salon and receive beauty treatments.

[1057] 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.

[1058] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression, means for suggesting beauty facilities and tools for achieving the generated eyebrow shape, means including a visual device for displaying in real time an image of the generated eyebrow shape actually applied, and information providing means for a beauty facility staff member to confirm the proposed shape and quickly reflect the treatment details. This enables a user to easily identify the optimal eyebrow shape for themselves and quickly receive specific instructions for achieving that shape at a beauty salon.

[1059] A "user-operated terminal" refers to a portable electronic device that can be used and operated by the user, such as a smartphone or tablet terminal.

[1060] A "face image" is still image data of a user's face, and refers to image data that includes facial features and bone structure.

[1061] The "receiving means" refers to a function for transmitting image data from a terminal operated by a user to a server and for the server to receive the image data.

[1062] "Means of analyzing to identify facial structure and impression" refers to the process of using AI technology to analyze received facial images and identify the facial structure and overall impression.

[1063] The "means for generating an optimal eyebrow shape" refers to a function for automatically generating an optimal eyebrow shape for a user based on the identified facial structure and impression.

[1064] "Means for suggesting beauty facilities and tools" refers to a function for suggesting to the user specific beauty facilities and beauty tools for achieving the generated eyebrow shape.

[1065] "Means including a visual device" refers to functionality that includes a device (e.g., a smart mirror or tablet device) for visually displaying to the user what the generated eyebrow shape will look like.

[1066] "Information provision means" refers to a function that allows the proposed eyebrow shape and treatment details to be quickly communicated to the staff at the beauty facility.

[1067] "Means for utilizing location information" refers to a function that utilizes the user's current location information to select the most suitable beauty facility.

[1068] "Means for generating images and drawing data" refers to a function for creating still images and drawing data for specifically visualizing the proposed eyebrow shape.

[1069] The present invention is a system that analyzes a facial image captured by a user's device and proposes an optimal eyebrow shape for the user. This system includes a device, a server, an AI model, and a visual device. The following describes in detail specific embodiments of the present invention.

[1070] First, the user takes a photo of their face using a smartphone or tablet device and uploads it to the server using a dedicated application. This device must be equipped with a camera and internet connection.

[1071] The server then receives the facial image sent by the user. This server uses a high-performance computer or a cloud service with data reception and storage capabilities. For example, a server program using Python or Java, or a cloud service such as Amazon Web Services (AWS) or Microsoft Azure, can be used.

[1072] The received facial images are analyzed by an AI model on the server. This AI model includes a face detection model and a skeletal analysis model that use libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Specific feature points (eyes, nose, mouth, etc.) are detected from the facial image, and the facial skeletal structure and overall impression are quantified based on this.

[1073] Based on the analysis results, the server generates the optimal eyebrow shape for the user. The generated eyebrow shapes include arched, straight, curved, etc., and selects the shape that best suits the user's bone structure and impression. This generation uses technologies such as semantic segmentation.

[1074] The server also performs processing to suggest beauty salons and tools to achieve the generated eyebrow shape. The server uses the user's location information to select beauty salons, taking into account the reviews and specialty services of nearby beauty salons. It also provides online purchasing links for tools for shaping the eyebrows (e.g., eyebrow trimmers, eyebrow pencils, etc.).

[1075] The proposed brow shape is displayed in real time through a visual device such as a smart mirror or tablet. The visual device must have a high-resolution display and augmented reality (AR) capabilities to allow the user to visualize the generated brow shape. For example, when the user stands in front of the smart mirror, the generated brow shape is displayed in real time against their own face.

[1076] Furthermore, the same information can be provided to the staff at beauty salons, allowing them to quickly update their treatments. This allows users to receive specific instructions at beauty salons on how to achieve the best eyebrow shape for them.

[1077] Specific examples

[1078] A user visits a beauty salon and takes a photo of themselves using the in-store smart mirror. The photo is uploaded to a server, where an AI model analyzes it and generates the optimal eyebrow shape. The results are displayed in real time on the smart mirror, allowing the user to instantly see the new eyebrow shape. The same information is also provided to salon staff, allowing them to quickly perform the optimal treatment.

[1079] Prompt Sentence Examples

[1080] "Design a system that uploads a user's facial image and uses AI technology to analyze the facial structure and impression. It will suggest the optimal eyebrow shape and automatically display the treatment details at the beauty salon. The analysis results will be displayed in real time, allowing the user to confirm the optimal eyebrow shape."

[1081] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1082] Step 1:

[1083] Users take a photo of their face using a smartphone or tablet device and upload it to the server using a dedicated application.

[1084] Input: A captured face image.

[1085] Output: The facial image data is sent to the server.

[1086] Specific operation: Take a photo of your face using the device's camera function, and press the send button in the app to send the image data to the server.

[1087] Step 2:

[1088] The server receives the user's facial image and stores it in a database.

[1089] Input: Facial image data sent by the user.

[1090] Output: Facial image data stored on the server.

[1091] Specific operation: The server stores the facial images received via the HTTPS protocol in a database.

[1092] Step 3:

[1093] The server's AI model analyzes the received facial images and identifies facial bone structure and impression.

[1094] Input: Stored face image data.

[1095] Output: Quantified data of facial structure and impression.

[1096] Specific operation: Facial feature points are extracted using an AI model (OpenCV, TensorFlow, etc.) and facial structure and impression are quantified.

[1097] Step 4:

[1098] Based on the analysis results, the server generates the optimal eyebrow shape for the user.

[1099] Input: Quantified data of facial structure and impression.

[1100] Output: Eyebrow shape data (e.g. arched, straight, etc.).

[1101] Specific operation: Using semantic segmentation technology, generate eyebrow shapes that best suit facial characteristics.

[1102] Step 5:

[1103] The server then suggests beauty facilities and tools to achieve the generated eyebrow shape.

[1104] Input: Eyebrow shape data and user location information.

[1105] Output: Information on proposed beauty facilities and tools.

[1106] Specific operation: Using location information, search for and suggest highly rated facilities and suitable tools from a database of nearby beauty salons.

[1107] Step 6:

[1108] The server displays the generated eyebrow shape on a visual device in real time.

[1109] Input: Eyebrow shape data and face image.

[1110] Output: An improved face image displayed on a visual device.

[1111] Specific operation: Sends drawing data to a smart mirror or tablet device to display the generated eyebrow shape in real time.

[1112] Step 7:

[1113] The beauty facility staff will review the proposed form and provide information to quickly implement the treatment.

[1114] Input: Proposed brow shape and procedure information.

[1115] Output: Information about the treatment details is reflected in the beauty facility's system.

[1116] Specific operation: Detailed information about the treatment is sent to the staff member's tablet device and the beauty facility's management system.

[1117] 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.

[1118] The present invention is a system that receives a facial image taken by a user's device, analyzes the image, and identifies the facial structure and impression. It also combines an emotion engine that recognizes the user's emotions and proposes an optimal eyebrow shape based on the analysis results. The system is implemented as follows.

[1119] The user takes a picture of their face using a smartphone. The device then uploads the image data to a server. The server then uses AI technology to analyze the received facial image and identify the facial bone structure and impression. Based on the analysis results, the server generates the optimal eyebrow shape for the user. In doing so, it uses an emotion engine to recognize the user's emotions and adjusts the eyebrow shape accordingly. The system also provides information on beauty facilities and tools needed to achieve that shape.

[1120] Specifically, the server performs the process in the following steps.

[1121] 1. Means of Receiving

[1122] The server receives the face image sent from the user's terminal and stores the data.

[1123] 2. Analysis Methods

[1124] The server uses pre-trained AI models (face detection model, skeletal analysis model, etc.) to analyze facial images. It detects specific features (e.g., eyes, nose, mouth, etc.) from the facial image and quantifies the facial structure and overall impression based on them.

[1125] 3. Emotion Engine

[1126] The server applies an emotion engine to recognize the user's emotions from the received facial image. The emotion engine analyzes facial expressions and subtle changes to recognize the emotion the user is currently feeling. For example, it identifies emotions such as joy, sadness, surprise, and anger.

[1127] 4. Means of generation

[1128] The server generates multiple optimal eyebrow shapes based on the analysis and emotion recognition results. From the generated data, it selects candidate eyebrow shapes such as arched, straight, and curved, and fine-tunes them according to the user's emotions.

[1129] 5. Proposed measures

[1130] The server references a database of beauty salons and tools based on the generated eyebrow shape, and uses location information to obtain information on beauty salons and necessary tools near the user.

[1131] 6. Generating images and drawing data

[1132] The server visualizes the proposed eyebrow shape and generates images and drawing data for the user to check.

[1133] 7. Presentation of results

[1134] The server sends these results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which then displays them to the user.

[1135] Specific examples

[1136] For example, a user takes a photo of their face with their smartphone and uploads it to the system via an app. The server receives the facial image and uses an AI model to analyze the facial structure and overall impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly soft, arched eyebrow shape as the optimal shape for the user. It also provides a reference image visualizing this, along with information on beauty facilities and tools. Users can check this information on their device, choose a salon of their choice and make a reservation, or purchase the necessary tools online.

[1137] In this way, the present invention realizes a system that allows a user to easily identify the eyebrow shape that is best suited to them, while also taking into consideration the user's feelings, and provides specific instructions for achieving that shape.

[1138] The processing flow will be explained below.

[1139] Step 1:

[1140] The user takes a photo of their face using a smartphone.

[1141] The user uses the camera function of their smartphone to take a photo of their face from the front.

[1142] Step 2:

[1143] The user takes a photo of their face and uploads it to the server via the app.

[1144] The user presses the "Upload" button in the app, selects the captured face photo, and sends it to the server.

[1145] Step 3:

[1146] The server receives the facial photograph sent by the user and stores the data.

[1147] The server confirms receipt and stores the facial photo data in a database.

[1148] Step 4:

[1149] The server loads the AI ​​model to analyze the facial image.

[1150] The server prepares to apply AI models for image analysis (e.g., face detection models, skeletal analysis models).

[1151] Step 5:

[1152] The AI ​​model detects specific features (eyes, nose, mouth, etc.) from a facial photo.

[1153] The AI ​​model identifies the position of each facial feature and quantifies that data.

[1154] Step 6:

[1155] The server identifies the facial structure and impression from the analysis results.

[1156] The server classifies the face shape and overall impression based on the location data of feature points.

[1157] Step 7:

[1158] The server uses an emotion engine to recognize the user's emotions.

[1159] The server uses AI to analyze facial expressions and subtle changes to identify the emotion the user is currently feeling (e.g., joy, sadness, surprise, anger, etc.).

[1160] Step 8:

[1161] The server generates multiple optimal eyebrow shapes based on the analysis results and emotion recognition results.

[1162] The server selects candidate eyebrow shapes such as arched, straight, and curved, and fine-tunes them according to the user's emotions.

[1163] Step 9:

[1164] The server refers to a database of beauty facilities and tools based on the generated eyebrow shape.

[1165] The server uses location information to obtain information about beauty facilities near the user and the necessary tools.

[1166] Step 10:

[1167] The server organizes information on the selected beauty facilities and tools and generates data to make suggestions to users.

[1168] The server generates detailed information including salon ratings, pricing information, and links to purchase tools.

[1169] Step 11:

[1170] The server sends the suggested eyebrow shape and related information to the user's terminal.

[1171] The server sends the transmitted data to the user as a proposal including reference images and text data for the shape of the eyebrows.

[1172] Step 12:

[1173] The terminal visually displays the suggestion results to the user.

[1174] The device will display suggested eyebrow shapes, recommended salon information, and tool links on the screen.

[1175] Step 13:

[1176] The user checks the suggested eyebrow shapes and salons and selects the required action.

[1177] The user checks the proposals and, if desired, makes a salon appointment or purchases the necessary tools online.

[1178] Example 2

[1179] 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."

[1180] Conventional facial image analysis systems only analyze the user's facial structure and impression, without providing personalized suggestions that take into account the user's current emotions. As a result, the suggested eyebrow shapes do not necessarily match the user's emotions or preferences, resulting in low satisfaction. Furthermore, the systems often do not provide sufficient information on specific methods, facilities, or tools for achieving the suggested eyebrow shapes. This creates the challenge of requiring users to go to the trouble of searching for additional information themselves.

[1181] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1182] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, emotion recognition means for recognizing the user's emotion from the facial image, means for generating an optimal eyebrow shape for the user based on the identified bone structure, impression, and emotion, means for suggesting beauty facilities and tools for realizing the generated eyebrow shape, means for generating images and drawing data for visualizing the generated eyebrow shape, and means for transmitting and displaying information about the suggested beauty facilities and tools to the user's terminal. This allows the user to receive a proposal for an optimal eyebrow shape based on their facial bone structure, impression, and emotion, and to immediately obtain information about specific facilities and tools for realizing that shape, thereby enabling highly satisfying proposals.

[1183] A "face image" is photographic data of a face taken by a user, and includes facial features (eyes, nose, mouth, etc.).

[1184] "Means for receiving" refers to the function by which the server receives a facial image sent from the user's terminal.

[1185] The "means of analysis" is a function that uses AI technology to analyze the received facial image and identify the facial structure and overall impression.

[1186] The "facial skeleton" refers to the shape of a face that is identified based on the relative positions of feature points such as the eyes, nose, and mouth detected from a facial image.

[1187] "Impression" refers to the overall image judged from the arrangement and shape of facial features, and includes classifications such as "round face" and "oval face."

[1188] "Emotion recognition means" refers to a function that analyzes facial expressions and subtle changes in a facial image to identify the user's emotions (joy, sadness, surprise, anger, etc.).

[1189] The "means for generating" refers to a function that automatically generates multiple optimal eyebrow shapes based on the identified facial structure, impression, and emotion recognition results.

[1190] "Beauty facility" refers to a place such as a beauty parlor or salon that a user can visit to achieve the suggested eyebrow shape.

[1191] "Tools" refers to the cosmetics and makeup tools used to achieve the suggested eyebrow shape at home.

[1192] "Visualization means" refers to a function that creates images or drawing data so that the user can visually confirm the generated eyebrow shape.

[1193] "Means for suggesting" refers to the function of providing data including the generated eyebrow shape and information on beauty facilities and tools to the user's device.

[1194] "Means for transmitting and displaying" refers to a function for transmitting the proposed information to the user's terminal and displaying the information so that the user can confirm it.

[1195] The present invention is a system that analyzes a facial image taken with a device operated by the user and identifies the user's facial structure and impression. It also has the function of recognizing the user's emotions from the facial image and proposing an optimal eyebrow shape based on the analysis results. This system is implemented by the following procedure.

[1196] Hardware and software used

[1197] Hardware:

[1198] Smartphone device (with camera function)

[1199] server

[1200] software:

[1201] AI models for image analysis (e.g., face detection models, skeletal analysis models)

[1202] Emotion recognition engine (e.g. EmotionAPI)

[1203] Image processing libraries (e.g., OpenCV, Pillow)

[1204] Database System

[1205] Location services (e.g. Google Maps API)

[1206] E-commerce site integration API (e.g., Amazon Product Advertising API)

[1207] Program processing

[1208] The user takes a picture of their face using the smartphone camera. Then, the user uploads the captured image to the server through the system's application. The server uses a pre-trained AI model (face detection model, skeletal analysis model, etc.) to analyze the received facial image. Specific feature points (eyes, nose, mouth, etc.) are detected from the facial image, and the facial bone structure and overall impression are quantified based on this.

[1209] The server then uses an emotion engine to recognize the user's emotions from the facial image. The emotion engine analyzes facial expressions and subtle changes to identify the emotion the user is currently feeling, such as joy, sadness, surprise, or anger.

[1210] The server generates the optimal eyebrow shape based on facial structure, impression, and emotion recognition results. It uses a generative AI model to generate multiple candidate eyebrow shapes (arched, straight, curved, etc.). The generated eyebrow shape is fine-tuned according to the user's emotion. For example, if the emotion is "joy," a soft, arched eyebrow may be generated.

[1211] The server then provides information on beauty facilities and tools needed to achieve the proposed eyebrow shape. Specifically, it searches a database for beauty facilities and tools and uses location information to obtain information on beauty facilities and tools needed near the user.

[1212] To visualize the generated eyebrow shape, the server generates image and drawing data. The generated eyebrow shape is overlaid on the user's face image so that the user can visually confirm it. For this, an image processing library (e.g., OpenCV, Pillow) is used.

[1213] Finally, the server sends these results (optimal eyebrow shape, information on beauty salons, links to purchase tools, reference images, etc.) to the user's device. The device displays the received results to the user, who can then check the proposed eyebrow shape, make a reservation at a beauty salon, or purchase the necessary tools online.

[1214] Specific examples

[1215] For example, a user takes a photo of their face with their smartphone and uploads it to the system via an app. The server receives the facial image and uses an AI model to analyze the facial structure and overall impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly soft, arched eyebrow shape as the optimal shape for the user. It also provides a reference image visualizing this, along with information on beauty facilities and tools. Users can check this information on their device, choose a salon of their choice and make a reservation, or purchase the necessary tools online.

[1216] Prompt Sentence Examples

[1217] "Upload an image of your face. The system will analyze your facial structure and overall impression to identify your current emotion. Based on the analysis results, it will suggest the best eyebrow shape for you. It will also show you information about beauty facilities and the tools you need to achieve that shape."

[1218] In this way, the present invention is a system that allows a user to easily identify the eyebrow shape that is best suited to them, while also taking into consideration the user's feelings, and provides specific instructions for achieving that shape.

[1219] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1220] Step 1: Take and upload a photo of your face

[1221] The user takes a picture of their face using the smartphone camera. Specifically, the user activates the camera function in the app and takes a picture of their face from the front.

[1222] Input: Photographed face image data.

[1223] Output: Facial image data is saved on the smartphone device.

[1224] The user uploads a facial image to the server through the app, which involves tapping the "upload image" button on the app.

[1225] Step 2: Receiving face images from the server

[1226] The server receives the face image sent from the user's terminal.

[1227] Input: User's face image data.

[1228] Output: The received facial image data is stored on the server.

[1229] The server checks the integrity of the image data and stores it in storage.

[1230] Step 3: Analyze the facial image

[1231] The server analyzes the facial image using AI models (face detection model, skeletal analysis model).

[1232] Input: Received facial image data.

[1233] Output: Facial feature point information, facial bone structure and overall impression numerical data.

[1234] The server uses an image processing library (e.g., OpenCV) to detect facial features (eyes, nose, mouth, etc.), and then uses an AI model (e.g., face detection model) to identify the facial bone structure based on these features and classify the face impression (round, oval, square, etc.).

[1235] Step 4: Emotion Recognition

[1236] The server uses an emotion engine to recognize the emotion of the user from the face image.

[1237] Input: Received facial image data.

[1238] Output: Emotion data (e.g., joy, sadness, surprise, anger, etc.).

[1239] The server uses an emotion recognition API (e.g., EmotionAPI) to analyze facial expressions and subtle changes to identify the current emotion.

[1240] Step 5: Generate the optimal brow shape

[1241] The server generates the optimal eyebrow shape based on facial structure, impression, and emotion recognition results.

[1242] Input: Facial feature point information, numerical data of facial structure and overall impression, emotion data.

[1243] Output: Several optimal eyebrow shape data (arched, straight, curved, etc.).

[1244] The server uses a generative AI model to generate multiple eyebrow shape candidates and fine-tunes them according to the user's emotions.

[1245] Step 6: Search for information on beauty facilities and tools

[1246] The server searches for information on beauty facilities and tools that can achieve the generated eyebrow shape.

[1247] Input: Generated eyebrow shape data, user location information.

[1248] Output: A list of beauty facilities, links to purchase tools.

[1249] The server uses location information services (e.g., Google Maps API) and e-commerce site integration APIs (e.g., Amazon Product Advertising API) to obtain information about beauty salons near the user and the necessary tools.

[1250] Step 7: Visualizing the generated eyebrow shape

[1251] The server generates images and drawing data for visualizing the generated eyebrow shape.

[1252] Input: Generated eyebrow shape data, face image data.

[1253] Output: Facial image data overlaid with visualized eyebrow shapes.

[1254] The server uses an image processing library (e.g., Pillow) to overlay the generated eyebrow shape on the face image, allowing the user to visually confirm it.

[1255] Step 8: Presenting the results

[1256] The server sends the analysis results, including the optimal eyebrow shape, information about beauty facilities, links to purchase tools, and reference images to the user's device.

[1257] Input: Facial feature point information, facial bone structure and impression numerical data, emotion data, generated eyebrow shape data, list of beauty facilities, and links to purchase tools.

[1258] Output: Data sent to the user's device.

[1259] The terminal displays the received results to the user, who can then check the proposed eyebrow shape, make a reservation at a beauty salon, or purchase the necessary tools online.

[1260] (Application example 2)

[1261] 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."

[1262] Conventional systems could analyze a user's facial image to suggest an eyebrow shape, but they were unable to consider the user's emotions or real-time feedback. This made it difficult to suggest the optimal eyebrow shape based on the user's emotions and actual situation. To solve this problem, a system that recognizes the user's emotions and adjusts the eyebrow shape based on that emotion is needed. There is also a need for a system that can analyze facial images in real time in physical stores and suggest the optimal eyebrow shape on the spot.

[1263] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1264] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression, means for suggesting beauty facilities and tools for achieving the generated eyebrow shape, means for recognizing the user's emotions and adjusting the eyebrow shape based on the emotions, and means for analyzing the user's facial image in real time at a physical store and suggesting an optimal eyebrow shape. This makes it possible to suggest an optimal eyebrow shape according to the user's emotions and real-time situation.

[1265] "User-operated device" refers to an electronic device that is operated manually or by voice by a user, such as a smartphone, tablet, or smart glasses.

[1266] The "means for receiving a facial image" refers to a means for transmitting a facial image taken by a user with a terminal to a server via a network and receiving the image.

[1267] "Means for identifying facial bone structure and impression" refers to a method that uses AI technology or face detection models to analyze facial features from a facial image and quantify the bone structure and overall impression.

[1268] "Means for generating an optimal eyebrow shape for a user" refers to an algorithm or program that generates multiple optimal eyebrow shapes for a user based on the identified facial structure and impression.

[1269] "Means for suggesting beauty facilities and tools" refers to means for referencing location information and a database in order to suggest beauty facilities and tools to achieve the generated eyebrow shape.

[1270] "Means for recognizing user emotions" refers to a means for using an emotion engine to analyze facial expressions and subtle changes to identify the user's current emotions.

[1271] "Means for adjusting eyebrow shape" refers to an algorithm or program for fine-tuning the generated eyebrow shape based on the perceived user emotion.

[1272] "Means for analyzing a user's facial image in real time in a physical store" refers to means for capturing a user's facial image in real time within a physical store environment and identifying the facial structure and impression on the spot.

[1273] "Means for suggesting the optimal eyebrow shape" refers to means for suggesting the most suitable eyebrow shape for a user based on the results of analysis and emotion recognition.

[1274] This invention is a system that receives a facial image taken by a user's device, analyzes the image, and identifies the facial structure and impression. It also incorporates an emotion engine that recognizes the user's emotions, and proposes an optimal eyebrow shape based on the analysis results. The specific system configuration and operation procedures are described below.

[1275] System configuration

[1276] The system uses the following hardware and software:

[1277] Device: The device the user operates, such as a smartphone, tablet, or smart glasses.

[1278] Server: A computer system that analyzes image data and generates proposal results.

[1279] AI models: face detection models, skeletal analysis models, and emotion recognition models (e.g., DeepFace).

[1280] Network: A communications network for sending and receiving data between user devices and servers.

[1281] Program processing explanation

[1282] 1. Capturing and receiving facial images

[1283] The user terminal captures a facial image using a camera on a smartphone or smart glasses.

[1284] The device uploads the captured image data to a server.

[1285] 2. Facial image analysis

[1286] The server analyzes the received facial images using AI technology.

[1287] Specifically, it uses a pre-trained face detection model and skeletal analysis model to detect feature points (e.g., eyes, nose, mouth, etc.) from an image, and then quantifies the facial structure and impression based on that.

[1288] 3. Applying the Emotion Engine

[1289] The server uses an emotion engine (such as DeepFace) to recognize the user's emotion from the image.

[1290] The emotion engine analyzes facial expressions and subtle changes to identify the user's emotions (e.g., joy, sadness, surprise, anger, etc.).

[1291] 4. Generating the optimal eyebrow shape

[1292] The server generates the optimal eyebrow shape for the user based on facial structure and impression, as well as recognized emotions.

[1293] Fine-tune the generated eyebrow shape (e.g., arched, straight, curved, etc.) according to the user's emotions.

[1294] 5. Proposals for beauty facilities and tools

[1295] The server uses location information to suggest beauty facilities and tools based on the generated eyebrow shape.

[1296] It provides users with information about beauty facilities and links to purchase the necessary tools.

[1297] 6. Visualization and presentation of results

[1298] The server visualizes the generated eyebrow shape and generates images and drawing data so that the user can check it.

[1299] The results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) are sent to the user's device and displayed.

[1300] Specific examples

[1301] For example, a user brings their smartphone to a beauty salon and activates the system. They take a photo of their face with the smartphone camera and instantly upload the image to the server. The server receives the facial image and uses an AI model to analyze the facial structure and impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly arched, softly contoured eyebrow as the optimal shape for the user. It also provides a reference image of this shape, along with information on beauty facilities and tools. The user can check this information on their device, choose a salon of their choice, make a reservation, or purchase the necessary tools online.

[1302] Prompt Sentence Examples

[1303] Below is an example of a prompt sentence to input to the generative AI model.

[1304] "The user took a photo of their face with their smartphone at a beauty salon. The system analyzed this photo and recognized the user's facial structure and current emotion. Based on the results, please suggest the optimal eyebrow shape. If there are multiple optimal shapes, please suggest the most suitable one. Please also suggest the beauty facilities and related tools needed to achieve that shape."

[1305] The system allows users to instantly find the perfect eyebrow shape for them and take immediate action to achieve that shape, while also allowing hairstylists to provide services based on specific requests.

[1306] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1307] Step 1:

[1308] A user takes a picture of their face using the camera of the device. The taken face image is temporarily stored in the device. In this step, the input is the face image captured through the camera, and the output is the image data temporarily stored in the device.

[1309] Step 2:

[1310] The user performs an operation on the terminal to upload an image to the server. The terminal then sends the facial image to the server via the network. In this step, the input is image data temporarily stored in the terminal, and the output is image data sent to the server. A communication method such as the HTTP protocol is used to send the data.

[1311] Step 3:

[1312] The server analyzes the received facial image. First, an AI model (face detection model) is applied to detect specific feature points (e.g., eyes, nose, mouth, etc.) from the facial image. Next, the facial structure and overall impression are quantified based on the detected feature points. In this step, the input is the image data sent to the server, and the output is quantified data (features) of the facial structure and impression. Specific operations include face detection and feature point analysis.

[1313] Step 4:

[1314] The server uses an emotion engine to recognize the user's emotions from the facial image. The emotion engine analyzes facial expressions and subtle changes to identify the emotion the user is currently feeling (e.g., joy, sadness, surprise, anger, etc.). In this step, the input is facial image data and the output is recognized emotion data. Specific operations include the processes of facial expression analysis and emotion recognition.

[1315] Step 5:

[1316] The server generates the optimal eyebrow shape based on the analysis results and emotion recognition results. The generated eyebrow shape (e.g., arched, straight, curved, etc.) is fine-tuned according to the user's emotion. In this step, the input is the facial structure and impression quantification data, as well as emotion data, and the output is the optimal eyebrow shape data. Specific operations include generating and adjusting the eyebrow shape based on an optimization algorithm.

[1317] Step 6:

[1318] The server then suggests beauty facilities and tools to achieve the generated eyebrow shape. Location information is used to provide information on beauty facilities and related tools near the user's current location. In this step, the input is data on the optimal eyebrow shape and the user's location information, and the output is information on suggested beauty facilities and tools. Specific operations include obtaining location information and searching a database.

[1319] Step 7:

[1320] The server generates image and drawing data to visualize the proposed eyebrow shape. This data is sent to the user's device, where the user can check the proposed results. In this step, the input is the optimal eyebrow shape data, and the output is the visualized image and drawing data. Specific operations include image processing and drawing data generation.

[1321] Step 8:

[1322] The user can check the results on the device and make a reservation at a beauty salon or purchase tools. In this step, the input is the visualized image, drawing data, and suggested information, and the output is the user's action (e.g., reservation, purchase). Specific actions include checking the results and selecting an action.

[1323] 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.

[1324] 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.

[1325] 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.

[1326] [Fourth embodiment]

[1327] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1328] 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.

[1329] 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).

[1330] 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.

[1331] 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.

[1332] 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).

[1333] 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.

[1334] 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.

[1335] 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.

[1336] 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.

[1337] 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.

[1338] 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.

[1339] 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."

[1340] The present invention provides a system for receiving a facial image captured by a user-operated terminal, analyzing the image, and identifying facial structure and impression. The system is implemented as follows.

[1341] The user takes a picture of their face using a smartphone. The device then uploads the image data to a server. The server then uses AI technology to analyze the received facial image and identify the facial bone structure and impression. Based on the analysis results, the server generates the optimal eyebrow shape for the user and provides information on beauty facilities and tools to achieve that shape.

[1342] Specifically, the server performs the process in the following steps.

[1343] 1. Means of Receiving

[1344] The server receives the face image sent from the user's terminal and stores the data.

[1345] 2. Analysis Methods

[1346] The server uses pre-trained AI models (face detection model, skeletal analysis model, etc.) to analyze facial images. It detects specific features (e.g., eyes, nose, mouth, etc.) from the facial image and quantifies the facial structure and overall impression based on them.

[1347] 3. Means of generation

[1348] Based on the analysis results, the server generates multiple eyebrow shapes that are considered to be optimal for the user, such as arched, straight, and curved.

[1349] 4. Proposed measures

[1350] Based on the generated eyebrow shape, the server selects the beauty salon and tools needed to achieve it. The server utilizes the user's location information and takes into account the styles and ratings of nearby salons. It also provides links to purchase tools for shaping the eyebrows (e.g., eyebrow trimmers, eyebrow pencils, etc.).

[1351] 5. Generating images and drawing data

[1352] The server generates reference images and drawing data so that users can visually confirm the proposed eyebrow shape, allowing them to visualize the exact shape.

[1353] 6. Presentation of results

[1354] The server sends the generated results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which then displays them to the user.

[1355] Specific examples

[1356] For example, a user can take a photo of their face with their smartphone and upload it to the system via an app. The server receives the image and uses an AI model to analyze the facial structure and overall impression. Based on the analysis results, the server generates the user's optimal eyebrow shape (arched or straight) and suggests highly rated beauty salons near the user to help them achieve these shapes. At the same time, it also provides online purchasing links for tools needed for at-home eyebrow care (eyebrow trimmers and eyebrow pencils). Users can check this information on their device, choose a salon they like, and make a reservation, or purchase the necessary tools online.

[1357] In this way, the present invention provides a system that allows users to easily identify the eyebrow shape that best suits them and provides specific instructions for achieving that shape.

[1358] The processing flow will be explained below.

[1359] Step 1:

[1360] The user takes a photo of their face using a smartphone.

[1361] Use your smartphone's camera to take a photo of your face from the front.

[1362] Step 2:

[1363] The user takes a photo of their face and uploads it to the server via the app.

[1364] Press the "Upload" button in the app, select the photo you took, and send it to the server.

[1365] Step 3:

[1366] The server receives the facial photograph sent by the user and stores the data.

[1367] The server confirms receipt and stores the facial photo data in a database.

[1368] Step 4:

[1369] The server loads the AI ​​model to analyze the facial photo.

[1370] The server prepares to apply AI models for image analysis (e.g., face detection models, skeletal analysis models).

[1371] Step 5:

[1372] The AI ​​model detects specific features (eyes, nose, mouth, etc.) from a facial photo.

[1373] AI identifies the position of each facial feature and quantifies the data.

[1374] Step 6:

[1375] The server identifies the facial structure and impression from the analysis results.

[1376] The server classifies the face shape and overall impression based on the location data of feature points.

[1377] Step 7:

[1378] Based on the analysis results, the server generates multiple optimal eyebrow shapes.

[1379] From the generated data, eyebrow shapes such as arched, straight, and curved are selected as candidate suggestions.

[1380] Step 8:

[1381] The server refers to a database of beauty facilities and tools based on the generated eyebrow shape.

[1382] By utilizing location information, the system obtains information about beauty facilities and necessary tools near the user.

[1383] Step 9:

[1384] The server organizes information on the selected beauty facilities and tools and generates data to make suggestions to users.

[1385] Create detailed information about your beauty salon, including reviews, pricing information, and links to purchase tools.

[1386] Step 10:

[1387] The server sends the suggested eyebrow shape and related information to the user's terminal.

[1388] To make it easier for the user to understand, images and text data for visually displaying the proposal content are generated and transmitted.

[1389] Step 11:

[1390] The terminal visually displays the suggestion results to the user.

[1391] The device receives the transmitted data and displays the eyebrow shape, recommended salon information, and tool links on the screen.

[1392] Step 12:

[1393] The user checks the suggested eyebrow shapes and salons and selects the required action.

[1394] The user reviews the suggestions and, if they like them, they can make a salon appointment or purchase the tools online.

[1395] Example 1

[1396] 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."

[1397] With conventional systems, it takes a lot of time and effort for users to find the perfect eyebrow shape for themselves, and it is difficult to select beauty facilities and tools. Furthermore, because users cannot visually confirm the proposed eyebrow shape, they are unable to form a concrete image of it. There is a need to solve these problems and provide a means for users to easily find the perfect eyebrow shape and achieve that shape.

[1398] 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.

[1399] In this invention, the server includes means for receiving a facial image captured by a terminal operated by the user, means for analyzing the received facial image to identify the facial bone structure and impression, and means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression. This allows the user to easily find the optimal eyebrow shape for themselves and receive specific instructions for achieving that shape.

[1400] A "user" is a person who operates the system to take a facial image and upload that image.

[1401] A "terminal" is a device operated by a user, and includes hardware such as a smartphone or a personal computer.

[1402] A "face image" is image data obtained by photographing the user's face.

[1403] The "receiving means" is a function that allows the server to receive the face image sent from the terminal.

[1404] The "analysis means" is a function for identifying the facial structure and impression based on the received facial image.

[1405] "Facial skeleton" refers to the structure of the face based on facial features (eyes, nose, mouth, etc.).

[1406] "Impression" refers to the overall atmosphere and feel of a face, calculated based on facial features and bone structure.

[1407] The "optimal eyebrow shape" refers to the eyebrow shape that is determined to be most suitable for the user based on the analyzed facial structure and impression.

[1408] The "means for generating" is a function for determining the optimal eyebrow shape based on the identified bone structure and impression.

[1409] A "reference image" is an image that visually shows the proposed eyebrow shape.

[1410] "Drawing data" refers to data used to draw the proposed eyebrow shape on a computer.

[1411] A "beauty facility" is a salon or store that provides services for shaping eyebrows.

[1412] "Tools" refer to tools such as eyebrow pencils and eyebrow cutters for shaping eyebrows.

[1413] The "means of suggestion" is a function that selects and informs users of beauty facilities and tools based on the eyebrow shape that is best suited to them.

[1414] "Location information" is data for identifying the user's current location or location.

[1415] "Transmitting means" is a communication function for sending the results generated by the server to the terminal.

[1416] The "display means" is a screen display function for showing the results received by the terminal to the user.

[1417] This invention is a system that receives a facial image taken by a terminal operated by a user, analyzes the image to identify the facial structure and impression, and generates and proposes an optimal eyebrow shape for the user. Specific embodiments of this system are described below.

[1418] Hardware and software used

[1419] This system uses the following hardware and software:

[1420] 1. Device: A smartphone, computer, or other device operated by the user.

[1421] 2. Server: A computer that receives and analyzes facial image data, and generates and transmits the results.

[1422] 3. AI models: Face detection models and skeletal analysis models for analyzing facial images.

[1423] 4. Database: A storage system for storing received facial image data and analysis results.

[1424] System Operation Details

[1425] 1. The user takes and uploads a photo of their face

[1426] Users take a picture of their face using a smartphone camera or a dedicated app, and once the photo is taken, the facial image data is uploaded to the system via the app.

[1427] Example: A user opens the app, presses the "Take a Face Picture" button to activate the camera, and then presses the "Upload" button to send the image to the server.

[1428] 2. The server receives and stores the image data

[1429] The server receives the facial image data sent from the user's device and stores it in a database, along with metadata such as the user ID.

[1430] Example: The server receives an HTTP POST request and saves the face image data to a directory such as " / images / user123.jpg". It also records metadata such as "user_id: 123, upload_time: '2023-10-05 10:00:00'".

[1431] 3. The server analyzes the facial image

[1432] The server inputs the stored facial image data into an AI model to detect and analyze facial feature points. This analysis uses a face detection model and a skeletal analysis model. Based on the feature points output by the AI ​​model, a unique algorithm is used to quantify the facial structure and impression.

[1433] Example: The server uses a face detection model to identify features such as the eyes, nose, and mouth, and obtains data such as "distance between eyes: 50px, height of nose: 40px."

[1434] 4. The server generates the optimal eyebrow shape based on the analysis results

[1435] Based on the analysis results, the server generates multiple optimal eyebrow shapes for the user, proposing arched, straight, curved, and other shapes as candidates, and setting the appropriate parameters for each shape.

[1436] Example: Based on the analysis results, the server generates data such as "Arched eyebrows: angle 30 degrees, length 50px, thickness 5px" and "Straight eyebrows: angle 0 degrees, length 55px, thickness 4px."

[1437] 5. The server suggests beauty facilities and tools

[1438] The server uses the user's location information to select beauty salons and related tools that can achieve the proposed eyebrow shape. The beauty salon information includes location, reviews, and service details. For the tools, the server provides an online purchase link.

[1439] Example: Based on the user's location information "Shibuya Ward, Tokyo," the server suggests a nearby beauty salon, "Shibuya Beauty Salon," and provides information such as "Favorite eyebrow shape: Arched, Rating: 4.5 / 5." It also provides the tool "Eyebrow pencil: Price: 1,000 yen, Purchase link: example.com / item123."

[1440] 6. The server generates reference images and drawing data

[1441] The server generates reference images and drawing data so that users can visually check the proposed eyebrow shape, allowing them to visualize the final result.

[1442] Example: The server overlays arched eyebrows onto the user's face image and saves it as "sample_arch_eyebrow.jpg". The drawing data is saved in SVG format as " <svg> ...< / svg> " is generated.

[1443] 7. The server sends and displays the results to the user

[1444] The server sends the generated results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which receives the data and displays it to the user via the app.

[1445] Example: The server sends the results to the user's device via a REST API. The app on the device uses the received data to display a message such as, "Arched eyebrows are perfect for you. Make an appointment at the salon using the link below."

[1446] Prompt Sentence Examples

[1447] 1. "Can you analyze a photo of a user's face to determine their facial structure and appearance?"

[1448] 2. "Please suggest three optimal eyebrow shapes for this face image."

[1449] 3. "Please list nearby beauty salons that can achieve the proposed eyebrow shape."

[1450] 4. "Generate an online purchase link for eyebrow shaping tools."

[1451] In accordance with the above aspects, the present invention allows users to easily identify the eyebrow shape that best suits them and provides specific instructions for achieving that shape.

[1452] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1453] Step 1:

[1454] The user takes a photograph of their face and uploads it to the server from their terminal.

[1455] Input: A face image taken by the user.

[1456] How it works: The user takes a picture of their face using a smartphone camera or a dedicated app. Once the picture is taken, the facial image data is uploaded to the server via the app.

[1457] Output: Facial image data sent from the device.

[1458] Step 2:

[1459] The server receives the facial image data and stores it in a database.

[1460] Input: Facial image data sent from the device.

[1461] Operation: The server receives an HTTP POST request and saves the face image data to the specified directory. Metadata (user ID, upload time, etc.) is also recorded.

[1462] Output: Facial image data and metadata stored in a database.

[1463] Step 3:

[1464] The server analyzes the stored facial image data and detects facial feature points.

[1465] Input: Stored face image data.

[1466] How it works: The server inputs facial image data into AI models (face detection model, skeletal analysis model) to detect facial features (eyes, nose, mouth, etc.), and then quantifies the facial bone structure and impression based on this.

[1467] Output: Facial feature point data and quantified facial structure and impression data based on that data.

[1468] Step 4:

[1469] The server generates the optimal eyebrow shape based on the analysis results.

[1470] Input: Facial feature point data and quantified data of facial structure and impression.

[1471] How it works: Based on the analysis results, the server generates multiple eyebrow shapes that are optimal for the user, setting parameters appropriate for each shape, such as arched, straight, or curved.

[1472] Output: Generated optimal eyebrow shape data.

[1473] Step 5:

[1474] The server generates information for suggesting beauty facilities and tools.

[1475] Input: Generated optimal eyebrow shape data and user location information.

[1476] How it works: The server selects beauty salons (location, ratings, service details) and related tools (eyebrow pencils, eyebrow trimmers, etc.) based on the user's location information. It also provides online purchasing links for the tools.

[1477] Output: Information about the proposed beauty facility and a link to purchase the tools.

[1478] Step 6:

[1479] The server generates reference images and drawing data so that the proposed eyebrow shape can be visually confirmed.

[1480] Input: Generated optimal eyebrow shape data.

[1481] How it works: The server overlays the proposed eyebrow shape onto the user's facial image and generates reference images and drawing data, providing a concrete image.

[1482] Output: Generated reference images and drawing data.

[1483] Step 7:

[1484] The server sends the generated results to the user's terminal, which displays them.

[1485] Input: Generated results (optimal eyebrow shape, beauty facility information, links to purchase tools, reference images, etc.).

[1486] How it works: The server sends the results to the user's device via the REST API. The device app displays the information to the user based on the received data.

[1487] Output: The resulting information displayed on the user's terminal.

[1488] (Application example 1)

[1489] 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."

[1490] It takes a lot of time and effort for a user to identify the best eyebrow shape for them and then have it realized at a beauty salon. In particular, the user needs to understand their facial features and gather a lot of information to find the right shape. It can also be difficult for beauty salon staff to quickly and accurately respond to the user's requests. Therefore, there is a need for a system that can help users quickly identify the best eyebrow shape at a beauty salon and receive beauty treatments.

[1491] 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.

[1492] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression, means for suggesting beauty facilities and tools for achieving the generated eyebrow shape, means including a visual device for displaying in real time an image of the generated eyebrow shape actually applied, and information providing means for a beauty facility staff member to confirm the proposed shape and quickly reflect the treatment details. This enables a user to easily identify the optimal eyebrow shape for themselves and quickly receive specific instructions for achieving that shape at a beauty salon.

[1493] A "user-operated terminal" refers to a portable electronic device that can be used and operated by the user, such as a smartphone or tablet terminal.

[1494] A "face image" is still image data of a user's face, and refers to image data that includes facial features and bone structure.

[1495] The "receiving means" refers to a function for transmitting image data from a terminal operated by a user to a server and for the server to receive the image data.

[1496] "Means of analyzing to identify facial structure and impression" refers to the process of using AI technology to analyze received facial images and identify the facial structure and overall impression.

[1497] The "means for generating an optimal eyebrow shape" refers to a function for automatically generating an optimal eyebrow shape for a user based on the identified facial structure and impression.

[1498] "Means for suggesting beauty facilities and tools" refers to a function for suggesting to the user specific beauty facilities and beauty tools for achieving the generated eyebrow shape.

[1499] "Means including a visual device" refers to functionality that includes a device (e.g., a smart mirror or tablet device) for visually displaying to the user what the generated eyebrow shape will look like.

[1500] "Information provision means" refers to a function that allows the proposed eyebrow shape and treatment details to be quickly communicated to the staff at the beauty facility.

[1501] "Means for utilizing location information" refers to a function that utilizes the user's current location information to select the most suitable beauty facility.

[1502] "Means for generating images and drawing data" refers to a function for creating still images and drawing data for specifically visualizing the proposed eyebrow shape.

[1503] The present invention is a system that analyzes a facial image captured by a user's device and proposes an optimal eyebrow shape for the user. This system includes a device, a server, an AI model, and a visual device. The following describes in detail specific embodiments of the present invention.

[1504] First, the user takes a photo of their face using a smartphone or tablet device and uploads it to the server using a dedicated application. This device must be equipped with a camera and internet connection.

[1505] The server then receives the facial image sent by the user. This server uses a high-performance computer or a cloud service with data reception and storage capabilities. For example, a server program using Python or Java, or a cloud service such as Amazon Web Services (AWS) or Microsoft Azure, can be used.

[1506] The received facial images are analyzed by an AI model on the server. This AI model includes a face detection model and a skeletal analysis model that use libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Specific feature points (eyes, nose, mouth, etc.) are detected from the facial image, and the facial skeletal structure and overall impression are quantified based on this.

[1507] Based on the analysis results, the server generates the optimal eyebrow shape for the user. The generated eyebrow shapes include arched, straight, curved, etc., and selects the shape that best suits the user's bone structure and impression. This generation uses technologies such as semantic segmentation.

[1508] The server also performs processing to suggest beauty salons and tools to achieve the generated eyebrow shape. The server uses the user's location information to select beauty salons, taking into account the reviews and specialty services of nearby beauty salons. It also provides online purchasing links for tools for shaping the eyebrows (e.g., eyebrow trimmers, eyebrow pencils, etc.).

[1509] The proposed brow shape is displayed in real time through a visual device such as a smart mirror or tablet. The visual device must have a high-resolution display and augmented reality (AR) capabilities to allow the user to visualize the generated brow shape. For example, when the user stands in front of the smart mirror, the generated brow shape is displayed in real time against their own face.

[1510] Furthermore, the same information can be provided to the staff at beauty salons, allowing them to quickly update their treatments. This allows users to receive specific instructions at beauty salons on how to achieve the best eyebrow shape for them.

[1511] Specific examples

[1512] A user visits a beauty salon and takes a photo of themselves using the in-store smart mirror. The photo is uploaded to a server, where an AI model analyzes it and generates the optimal eyebrow shape. The results are displayed in real time on the smart mirror, allowing the user to instantly see the new eyebrow shape. The same information is also provided to salon staff, allowing them to quickly perform the optimal treatment.

[1513] Prompt Sentence Examples

[1514] "Design a system that uploads a user's facial image and uses AI technology to analyze the facial structure and impression. It will suggest the optimal eyebrow shape and automatically display the treatment details at the beauty salon. The analysis results will be displayed in real time, allowing the user to confirm the optimal eyebrow shape."

[1515] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1516] Step 1:

[1517] Users take a photo of their face using a smartphone or tablet device and upload it to the server using a dedicated application.

[1518] Input: A captured face image.

[1519] Output: The facial image data is sent to the server.

[1520] Specific operation: Take a photo of your face using the device's camera function, and press the send button in the app to send the image data to the server.

[1521] Step 2:

[1522] The server receives the user's facial image and stores it in a database.

[1523] Input: Facial image data sent by the user.

[1524] Output: Facial image data stored on the server.

[1525] Specific operation: The server stores the facial images received via the HTTPS protocol in a database.

[1526] Step 3:

[1527] The server's AI model analyzes the received facial images and identifies facial bone structure and impression.

[1528] Input: Stored face image data.

[1529] Output: Quantified data of facial structure and impression.

[1530] Specific operation: Facial feature points are extracted using an AI model (OpenCV, TensorFlow, etc.) and facial structure and impression are quantified.

[1531] Step 4:

[1532] Based on the analysis results, the server generates the optimal eyebrow shape for the user.

[1533] Input: Quantified data of facial structure and impression.

[1534] Output: Eyebrow shape data (e.g. arched, straight, etc.).

[1535] Specific operation: Using semantic segmentation technology, generate eyebrow shapes that best suit facial characteristics.

[1536] Step 5:

[1537] The server then suggests beauty facilities and tools to achieve the generated eyebrow shape.

[1538] Input: Eyebrow shape data and user location information.

[1539] Output: Information on proposed beauty facilities and tools.

[1540] Specific operation: Using location information, search for and suggest highly rated facilities and suitable tools from a database of nearby beauty salons.

[1541] Step 6:

[1542] The server displays the generated eyebrow shape on a visual device in real time.

[1543] Input: Eyebrow shape data and face image.

[1544] Output: An improved face image displayed on a visual device.

[1545] Specific operation: Sends drawing data to a smart mirror or tablet device to display the generated eyebrow shape in real time.

[1546] Step 7:

[1547] The beauty facility staff will review the proposed form and provide information to quickly implement the treatment.

[1548] Input: Proposed brow shape and procedure information.

[1549] Output: Information about the treatment details is reflected in the beauty facility's system.

[1550] Specific operation: Detailed information about the treatment is sent to the staff member's tablet device and the beauty facility's management system.

[1551] 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.

[1552] The present invention is a system that receives a facial image taken by a user's device, analyzes the image, and identifies the facial structure and impression. It also combines an emotion engine that recognizes the user's emotions and proposes an optimal eyebrow shape based on the analysis results. The system is implemented as follows.

[1553] The user takes a picture of their face using a smartphone. The device then uploads the image data to a server. The server then uses AI technology to analyze the received facial image and identify the facial bone structure and impression. Based on the analysis results, the server generates the optimal eyebrow shape for the user. In doing so, it uses an emotion engine to recognize the user's emotions and adjusts the eyebrow shape accordingly. The system also provides information on beauty facilities and tools needed to achieve that shape.

[1554] Specifically, the server performs the process in the following steps.

[1555] 1. Means of Receiving

[1556] The server receives the face image sent from the user's terminal and stores the data.

[1557] 2. Analysis Methods

[1558] The server uses pre-trained AI models (face detection model, skeletal analysis model, etc.) to analyze facial images. It detects specific features (e.g., eyes, nose, mouth, etc.) from the facial image and quantifies the facial structure and overall impression based on them.

[1559] 3. Emotion Engine

[1560] The server applies an emotion engine to recognize the user's emotions from the received facial image. The emotion engine analyzes facial expressions and subtle changes to recognize the emotion the user is currently feeling. For example, it identifies emotions such as joy, sadness, surprise, and anger.

[1561] 4. Means of generation

[1562] The server generates multiple optimal eyebrow shapes based on the analysis and emotion recognition results. From the generated data, it selects candidate eyebrow shapes such as arched, straight, and curved, and fine-tunes them according to the user's emotions.

[1563] 5. Proposed measures

[1564] The server references a database of beauty salons and tools based on the generated eyebrow shape, and uses location information to obtain information on beauty salons and necessary tools near the user.

[1565] 6. Generating images and drawing data

[1566] The server visualizes the proposed eyebrow shape and generates images and drawing data for the user to check.

[1567] 7. Presentation of results

[1568] The server sends these results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) to the user's device, which then displays them to the user.

[1569] Specific examples

[1570] For example, a user takes a photo of their face with their smartphone and uploads it to the system via an app. The server receives the facial image and uses an AI model to analyze the facial structure and overall impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly soft, arched eyebrow shape as the optimal shape for the user. It also provides a reference image visualizing this, along with information on beauty facilities and tools. Users can check this information on their device, choose a salon of their choice and make a reservation, or purchase the necessary tools online.

[1571] In this way, the present invention realizes a system that allows a user to easily identify the eyebrow shape that is best suited to them, while also taking into consideration the user's feelings, and provides specific instructions for achieving that shape.

[1572] The processing flow will be explained below.

[1573] Step 1:

[1574] The user takes a photo of their face using a smartphone.

[1575] The user uses the camera function of their smartphone to take a photo of their face from the front.

[1576] Step 2:

[1577] The user takes a photo of their face and uploads it to the server via the app.

[1578] The user presses the "Upload" button in the app, selects the captured face photo, and sends it to the server.

[1579] Step 3:

[1580] The server receives the facial photograph sent by the user and stores the data.

[1581] The server confirms receipt and stores the facial photo data in a database.

[1582] Step 4:

[1583] The server loads the AI ​​model to analyze the facial image.

[1584] The server prepares to apply AI models for image analysis (e.g., face detection models, skeletal analysis models).

[1585] Step 5:

[1586] The AI ​​model detects specific features (eyes, nose, mouth, etc.) from a facial photo.

[1587] The AI ​​model identifies the position of each facial feature and quantifies that data.

[1588] Step 6:

[1589] The server identifies the facial structure and impression from the analysis results.

[1590] The server classifies the face shape and overall impression based on the location data of feature points.

[1591] Step 7:

[1592] The server uses an emotion engine to recognize the user's emotions.

[1593] The server uses AI to analyze facial expressions and subtle changes to identify the emotion the user is currently feeling (e.g., joy, sadness, surprise, anger, etc.).

[1594] Step 8:

[1595] The server generates multiple optimal eyebrow shapes based on the analysis results and emotion recognition results.

[1596] The server selects candidate eyebrow shapes such as arched, straight, and curved, and fine-tunes them according to the user's emotions.

[1597] Step 9:

[1598] The server refers to a database of beauty facilities and tools based on the generated eyebrow shape.

[1599] The server uses location information to obtain information about beauty facilities near the user and the necessary tools.

[1600] Step 10:

[1601] The server organizes information on the selected beauty facilities and tools and generates data to make suggestions to users.

[1602] The server generates detailed information including salon ratings, pricing information, and links to purchase tools.

[1603] Step 11:

[1604] The server sends the suggested eyebrow shape and related information to the user's terminal.

[1605] The server sends the transmitted data to the user as a proposal including reference images and text data for the shape of the eyebrows.

[1606] Step 12:

[1607] The terminal visually displays the suggestion results to the user.

[1608] The device will display suggested eyebrow shapes, recommended salon information, and tool links on the screen.

[1609] Step 13:

[1610] The user checks the suggested eyebrow shapes and salons and selects the required action.

[1611] The user checks the proposals and, if desired, makes a salon appointment or purchases the necessary tools online.

[1612] Example 2

[1613] 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."

[1614] Conventional facial image analysis systems only analyze the user's facial structure and impression, without providing personalized suggestions that take into account the user's current emotions. As a result, the suggested eyebrow shapes do not necessarily match the user's emotions or preferences, resulting in low satisfaction. Furthermore, the systems often do not provide sufficient information on specific methods, facilities, or tools for achieving the suggested eyebrow shapes. This creates the challenge of requiring users to go to the trouble of searching for additional information themselves.

[1615] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1616] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, emotion recognition means for recognizing the user's emotion from the facial image, means for generating an optimal eyebrow shape for the user based on the identified bone structure, impression, and emotion, means for suggesting beauty facilities and tools for realizing the generated eyebrow shape, means for generating images and drawing data for visualizing the generated eyebrow shape, and means for transmitting and displaying information about the suggested beauty facilities and tools to the user's terminal. This allows the user to receive a proposal for an optimal eyebrow shape based on their facial bone structure, impression, and emotion, and to immediately obtain information about specific facilities and tools for realizing that shape, thereby enabling highly satisfying proposals.

[1617] A "face image" is photographic data of a face taken by a user, and includes facial features (eyes, nose, mouth, etc.).

[1618] "Means for receiving" refers to the function by which the server receives a facial image sent from the user's terminal.

[1619] The "means of analysis" is a function that uses AI technology to analyze the received facial image and identify the facial structure and overall impression.

[1620] The "facial skeleton" refers to the shape of a face that is identified based on the relative positions of feature points such as the eyes, nose, and mouth detected from a facial image.

[1621] "Impression" refers to the overall image judged from the arrangement and shape of facial features, and includes classifications such as "round face" and "oval face."

[1622] "Emotion recognition means" refers to a function that analyzes facial expressions and subtle changes in a facial image to identify the user's emotions (joy, sadness, surprise, anger, etc.).

[1623] The "means for generating" refers to a function that automatically generates multiple optimal eyebrow shapes based on the identified facial structure, impression, and emotion recognition results.

[1624] "Beauty facility" refers to a place such as a beauty parlor or salon that a user can visit to achieve the suggested eyebrow shape.

[1625] "Tools" refers to the cosmetics and makeup tools used to achieve the suggested eyebrow shape at home.

[1626] "Visualization means" refers to a function that creates images or drawing data so that the user can visually confirm the generated eyebrow shape.

[1627] "Means for suggesting" refers to the function of providing data including the generated eyebrow shape and information on beauty facilities and tools to the user's device.

[1628] "Means for transmitting and displaying" refers to a function for transmitting the proposed information to the user's terminal and displaying the information so that the user can confirm it.

[1629] The present invention is a system that analyzes a facial image taken with a device operated by the user and identifies the user's facial structure and impression. It also has the function of recognizing the user's emotions from the facial image and proposing an optimal eyebrow shape based on the analysis results. This system is implemented by the following procedure.

[1630] Hardware and software used

[1631] Hardware:

[1632] Smartphone device (with camera function)

[1633] server

[1634] software:

[1635] AI models for image analysis (e.g., face detection models, skeletal analysis models)

[1636] Emotion recognition engine (e.g. EmotionAPI)

[1637] Image processing libraries (e.g., OpenCV, Pillow)

[1638] Database System

[1639] Location services (e.g. Google Maps API)

[1640] E-commerce site integration API (e.g., Amazon Product Advertising API)

[1641] Program processing

[1642] The user takes a picture of their face using the smartphone camera. Then, the user uploads the captured image to the server through the system's application. The server uses a pre-trained AI model (face detection model, skeletal analysis model, etc.) to analyze the received facial image. Specific feature points (eyes, nose, mouth, etc.) are detected from the facial image, and the facial bone structure and overall impression are quantified based on this.

[1643] The server then uses an emotion engine to recognize the user's emotions from the facial image. The emotion engine analyzes facial expressions and subtle changes to identify the emotion the user is currently feeling, such as joy, sadness, surprise, or anger.

[1644] The server generates the optimal eyebrow shape based on facial structure, impression, and emotion recognition results. It uses a generative AI model to generate multiple candidate eyebrow shapes (arched, straight, curved, etc.). The generated eyebrow shape is fine-tuned according to the user's emotion. For example, if the emotion is "joy," a soft, arched eyebrow may be generated.

[1645] The server then provides information on beauty facilities and tools needed to achieve the proposed eyebrow shape. Specifically, it searches a database for beauty facilities and tools and uses location information to obtain information on beauty facilities and tools needed near the user.

[1646] To visualize the generated eyebrow shape, the server generates image and drawing data. The generated eyebrow shape is overlaid on the user's face image so that the user can visually confirm it. For this, an image processing library (e.g., OpenCV, Pillow) is used.

[1647] Finally, the server sends these results (optimal eyebrow shape, information on beauty salons, links to purchase tools, reference images, etc.) to the user's device. The device displays the received results to the user, who can then check the proposed eyebrow shape, make a reservation at a beauty salon, or purchase the necessary tools online.

[1648] Specific examples

[1649] For example, a user takes a photo of their face with their smartphone and uploads it to the system via an app. The server receives the facial image and uses an AI model to analyze the facial structure and overall impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly soft, arched eyebrow shape as the optimal shape for the user. It also provides a reference image visualizing this, along with information on beauty facilities and tools. Users can check this information on their device, choose a salon of their choice and make a reservation, or purchase the necessary tools online.

[1650] Prompt Sentence Examples

[1651] "Upload an image of your face. The system will analyze your facial structure and overall impression to identify your current emotion. Based on the analysis results, it will suggest the best eyebrow shape for you. It will also show you information about beauty facilities and the tools you need to achieve that shape."

[1652] In this way, the present invention is a system that allows a user to easily identify the eyebrow shape that is best suited to them, while also taking into consideration the user's feelings, and provides specific instructions for achieving that shape.

[1653] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1654] Step 1: Take and upload a photo of your face

[1655] The user takes a picture of their face using the smartphone camera. Specifically, the user activates the camera function in the app and takes a picture of their face from the front.

[1656] Input: Photographed face image data.

[1657] Output: Facial image data is saved on the smartphone device.

[1658] The user uploads a facial image to the server through the app, which involves tapping the "upload image" button on the app.

[1659] Step 2: Receiving face images from the server

[1660] The server receives the face image sent from the user's terminal.

[1661] Input: User's face image data.

[1662] Output: The received facial image data is stored on the server.

[1663] The server checks the integrity of the image data and stores it in storage.

[1664] Step 3: Analyze the facial image

[1665] The server analyzes the facial image using AI models (face detection model, skeletal analysis model).

[1666] Input: Received facial image data.

[1667] Output: Facial feature point information, facial bone structure and overall impression numerical data.

[1668] The server uses an image processing library (e.g., OpenCV) to detect facial features (eyes, nose, mouth, etc.), and then uses an AI model (e.g., face detection model) to identify the facial bone structure based on these features and classify the face impression (round, oval, square, etc.).

[1669] Step 4: Emotion Recognition

[1670] The server uses an emotion engine to recognize the emotion of the user from the face image.

[1671] Input: Received facial image data.

[1672] Output: Emotion data (e.g., joy, sadness, surprise, anger, etc.).

[1673] The server uses an emotion recognition API (e.g., EmotionAPI) to analyze facial expressions and subtle changes to identify the current emotion.

[1674] Step 5: Generate the optimal brow shape

[1675] The server generates the optimal eyebrow shape based on facial structure, impression, and emotion recognition results.

[1676] Input: Facial feature point information, numerical data of facial structure and overall impression, emotion data.

[1677] Output: Several optimal eyebrow shape data (arched, straight, curved, etc.).

[1678] The server uses a generative AI model to generate multiple eyebrow shape candidates and fine-tunes them according to the user's emotions.

[1679] Step 6: Search for information on beauty facilities and tools

[1680] The server searches for information on beauty facilities and tools that can achieve the generated eyebrow shape.

[1681] Input: Generated eyebrow shape data, user location information.

[1682] Output: A list of beauty facilities, links to purchase tools.

[1683] The server uses location information services (e.g., Google Maps API) and e-commerce site integration APIs (e.g., Amazon Product Advertising API) to obtain information about beauty salons near the user and the necessary tools.

[1684] Step 7: Visualizing the generated eyebrow shape

[1685] The server generates images and drawing data for visualizing the generated eyebrow shape.

[1686] Input: Generated eyebrow shape data, face image data.

[1687] Output: Facial image data overlaid with visualized eyebrow shapes.

[1688] The server uses an image processing library (e.g., Pillow) to overlay the generated eyebrow shape on the face image, allowing the user to visually confirm it.

[1689] Step 8: Presenting the results

[1690] The server sends the analysis results, including the optimal eyebrow shape, information about beauty facilities, links to purchase tools, and reference images to the user's device.

[1691] Input: Facial feature point information, facial bone structure and impression numerical data, emotion data, generated eyebrow shape data, list of beauty facilities, and links to purchase tools.

[1692] Output: Data sent to the user's device.

[1693] The terminal displays the received results to the user, who can then check the proposed eyebrow shape, make a reservation at a beauty salon, or purchase the necessary tools online.

[1694] (Application example 2)

[1695] 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."

[1696] Conventional systems could analyze a user's facial image to suggest an eyebrow shape, but they were unable to consider the user's emotions or real-time feedback. This made it difficult to suggest the optimal eyebrow shape based on the user's emotions and actual situation. To solve this problem, a system that recognizes the user's emotions and adjusts the eyebrow shape based on that emotion is needed. There is also a need for a system that can analyze facial images in real time in physical stores and suggest the optimal eyebrow shape on the spot.

[1697] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1698] In this invention, the server includes means for receiving a facial image captured by a terminal operated by a user, means for analyzing the received facial image to identify the facial bone structure and impression, means for generating an optimal eyebrow shape for the user based on the identified bone structure and impression, means for suggesting beauty facilities and tools for achieving the generated eyebrow shape, means for recognizing the user's emotions and adjusting the eyebrow shape based on the emotions, and means for analyzing the user's facial image in real time at a physical store and suggesting an optimal eyebrow shape. This makes it possible to suggest an optimal eyebrow shape according to the user's emotions and real-time situation.

[1699] "User-operated device" refers to an electronic device that is operated manually or by voice by a user, such as a smartphone, tablet, or smart glasses.

[1700] The "means for receiving a facial image" refers to a means for transmitting a facial image taken by a user with a terminal to a server via a network and receiving the image.

[1701] "Means for identifying facial bone structure and impression" refers to a method that uses AI technology or face detection models to analyze facial features from a facial image and quantify the bone structure and overall impression.

[1702] "Means for generating an optimal eyebrow shape for a user" refers to an algorithm or program that generates multiple optimal eyebrow shapes for a user based on the identified facial structure and impression.

[1703] "Means for suggesting beauty facilities and tools" refers to means for referencing location information and a database in order to suggest beauty facilities and tools to achieve the generated eyebrow shape.

[1704] "Means for recognizing user emotions" refers to a means for using an emotion engine to analyze facial expressions and subtle changes to identify the user's current emotions.

[1705] "Means for adjusting eyebrow shape" refers to an algorithm or program for fine-tuning the generated eyebrow shape based on the perceived user emotion.

[1706] "Means for analyzing a user's facial image in real time in a physical store" refers to means for capturing a user's facial image in real time within a physical store environment and identifying the facial structure and impression on the spot.

[1707] "Means for suggesting the optimal eyebrow shape" refers to means for suggesting the most suitable eyebrow shape for a user based on the results of analysis and emotion recognition.

[1708] This invention is a system that receives a facial image taken by a user's device, analyzes the image, and identifies the facial structure and impression. It also incorporates an emotion engine that recognizes the user's emotions, and proposes an optimal eyebrow shape based on the analysis results. The specific system configuration and operation procedures are described below.

[1709] System configuration

[1710] The system uses the following hardware and software:

[1711] Device: The device the user operates, such as a smartphone, tablet, or smart glasses.

[1712] Server: A computer system that analyzes image data and generates proposal results.

[1713] AI models: face detection models, skeletal analysis models, and emotion recognition models (e.g., DeepFace).

[1714] Network: A communications network for sending and receiving data between user devices and servers.

[1715] Program processing explanation

[1716] 1. Capturing and receiving facial images

[1717] The user terminal captures a facial image using a camera on a smartphone or smart glasses.

[1718] The device uploads the captured image data to a server.

[1719] 2. Facial image analysis

[1720] The server analyzes the received facial images using AI technology.

[1721] Specifically, it uses a pre-trained face detection model and skeletal analysis model to detect feature points (e.g., eyes, nose, mouth, etc.) from an image, and then quantifies the facial structure and impression based on that.

[1722] 3. Applying the Emotion Engine

[1723] The server uses an emotion engine (such as DeepFace) to recognize the user's emotion from the image.

[1724] The emotion engine analyzes facial expressions and subtle changes to identify the user's emotions (e.g., joy, sadness, surprise, anger, etc.).

[1725] 4. Generating the optimal eyebrow shape

[1726] The server generates the optimal eyebrow shape for the user based on facial structure and impression, as well as recognized emotions.

[1727] Fine-tune the generated eyebrow shape (e.g., arched, straight, curved, etc.) according to the user's emotions.

[1728] 5. Proposals for beauty facilities and tools

[1729] The server uses location information to suggest beauty facilities and tools based on the generated eyebrow shape.

[1730] It provides users with information about beauty facilities and links to purchase the necessary tools.

[1731] 6. Visualization and presentation of results

[1732] The server visualizes the generated eyebrow shape and generates images and drawing data so that the user can check it.

[1733] The results (optimal eyebrow shape, information on beauty facilities, links to purchase tools, reference images, etc.) are sent to the user's device and displayed.

[1734] Specific examples

[1735] For example, a user brings their smartphone to a beauty salon and activates the system. They take a photo of their face with the smartphone camera and instantly upload the image to the server. The server receives the facial image and uses an AI model to analyze the facial structure and impression. The emotion engine then identifies the user's current emotion as "joy." Based on the analysis and emotion identification results, the server generates a slightly arched, softly contoured eyebrow as the optimal shape for the user. It also provides a reference image of this shape, along with information on beauty facilities and tools. The user can check this information on their device, choose a salon of their choice, make a reservation, or purchase the necessary tools online.

[1736] Prompt Sentence Examples

[1737] Below is an example of a prompt sentence to input to the generative AI model.

[1738] "The user took a photo of their face with their smartphone at a beauty salon. The system analyzed this photo and recognized the user's facial structure and current emotion. Based on the results, please suggest the optimal eyebrow shape. If there are multiple optimal shapes, please suggest the most suitable one. Please also suggest the beauty facilities and related tools needed to achieve that shape."

[1739] The system allows users to instantly find the perfect eyebrow shape for them and take immediate action to achieve that shape, while also allowing hairstylists to provide services based on specific requests.

[1740] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1741] Step 1:

[1742] A user takes a picture of their face using the camera of the device. The taken face image is temporarily stored in the device. In this step, the input is the face image captured through the camera, and the output is the image data temporarily stored in the device.

[1743] Step 2:

[1744] The user performs an operation on the terminal to upload an image to the server. The terminal then sends the facial image to the server via the network. In this step, the input is image data temporarily stored in the terminal, and the output is image data sent to the server. A communication method such as the HTTP protocol is used to send the data.

[1745] Step 3:

[1746] The server analyzes the received facial image. First, an AI model (face detection model) is applied to detect specific feature points (e.g., eyes, nose, mouth, etc.) from the facial image. Next, the facial structure and overall impression are quantified based on the detected feature points. In this step, the input is the image data sent to the server, and the output is quantified data (features) of the facial structure and impression. Specific operations include face detection and feature point analysis.

[1747] Step 4:

[1748] The server uses an emotion engine to recognize the user's emotions from the facial image. The emotion engine analyzes facial expressions and subtle changes to identify the emotion the user is currently feeling (e.g., joy, sadness, surprise, anger, etc.). In this step, the input is facial image data and the output is recognized emotion data. Specific operations include the processes of facial expression analysis and emotion recognition.

[1749] Step 5:

[1750] The server generates the optimal eyebrow shape based on the analysis results and emotion recognition results. The generated eyebrow shape (e.g., arched, straight, curved, etc.) is fine-tuned according to the user's emotion. In this step, the input is the facial structure and impression quantification data, as well as emotion data, and the output is the optimal eyebrow shape data. Specific operations include generating and adjusting the eyebrow shape based on an optimization algorithm.

[1751] Step 6:

[1752] The server then suggests beauty facilities and tools to achieve the generated eyebrow shape. Location information is used to provide information on beauty facilities and related tools near the user's current location. In this step, the input is data on the optimal eyebrow shape and the user's location information, and the output is information on suggested beauty facilities and tools. Specific operations include obtaining location information and searching a database.

[1753] Step 7:

[1754] The server generates image and drawing data to visualize the proposed eyebrow shape. This data is sent to the user's device, where the user can check the proposed results. In this step, the input is the optimal eyebrow shape data, and the output is the visualized image and drawing data. Specific operations include image processing and drawing data generation.

[1755] Step 8:

[1756] The user can check the results on the device and make a reservation at a beauty salon or purchase tools. In this step, the input is the visualized image, drawing data, and suggested information, and the output is the user's action (e.g., reservation, purchase). Specific actions include checking the results and selecting an action.

[1757] 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.

[1758] 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.

[1759] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1760] 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.

[1761] 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.

[1762] 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.

[1763] 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).

[1764] 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.

[1765] 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."

[1766] 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.

[1767] 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).

[1768] 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.

[1769] 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.

[1770] 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.

[1771] 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.

[1772] 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.

[1773] 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.

[1774] 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.

[1775] 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.

[1776] 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.

[1777] 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.

[1778] The following is further disclosed regarding the above embodiment.

[1779] (Claim 1)

[1780] means for receiving a facial image captured by a terminal operated by a user;

[1781] means for analyzing the received facial image to identify facial bone structure and impression;

[1782] A means for generating an optimal eyebrow shape for a user based on the identified bone structure and impression;

[1783] A means for suggesting beauty facilities and tools for realizing the generated eyebrow shape;

[1784] A system including:

[1785] (Claim 2)

[1786] 10. The system of claim 1, further comprising means for utilizing the location information in selecting a beauty facility for achieving the proposed eyebrow shape.

[1787] (Claim 3)

[1788] 10. The system of claim 1, further comprising means for generating image or drawing data for visualizing the proposed eyebrow shape.

[1789] "Example 1"

[1790] (Claim 1)

[1791] means for receiving a facial image captured by a terminal operated by a user;

[1792] means for analyzing the received facial image to identify facial bone structure and impression;

[1793] A means for generating an optimal eyebrow shape for a user based on the identified bone structure and impression;

[1794] A means for generating reference images and drawing data that allow the generated eyebrow shape to be visually confirmed;

[1795] A means for suggesting beauty facilities and tools for realizing the generated eyebrow shape;

[1796] means for transmitting and displaying the results on a user's terminal;

[1797] A system including:

[1798] (Claim 2)

[1799] 10. The system of claim 1, further comprising means for utilizing location information in selecting a beauty facility.

[1800] (Claim 3)

[1801] 10. The system of claim 1, further comprising means for generating image or drawing data for visualizing the proposed eyebrow shape.

[1802] "Application Example 1"

[1803] (Claim 1)

[1804] means for receiving a facial image captured by a terminal operated by a user;

[1805] means for analyzing the received facial image to identify facial bone structure and impression;

[1806] A means for generating an optimal eyebrow shape for a user based on the identified bone structure and impression;

[1807] A means for suggesting beauty facilities and tools for realizing the generated eyebrow shape;

[1808] means including a visual device for displaying an image of the generated eyebrow shape actually applied in real time;

[1809] A means of providing information so that the person in charge of the beauty facility can check the proposed form and quickly reflect the treatment content,

[1810] A system including:

[1811] (Claim 2)

[1812] 10. The system of claim 1, further comprising means for utilizing the location information in selecting a beauty facility for achieving the proposed eyebrow shape.

[1813] (Claim 3)

[1814] 10. The system of claim 1, further comprising means for generating image or drawing data for visualizing the proposed eyebrow shape.

[1815] "Example 2: Combining Emotion Engines"

[1816] (Claim 1)

[1817] means for receiving a facial image captured by a terminal operated by a user;

[1818] means for analyzing the received facial image to identify facial bone structure and impression;

[1819] emotion recognition means for recognizing the emotion of a user from a facial image;

[1820] A means for generating an optimal eyebrow shape for a user based on the identified bone structure, impression, and emotion;

[1821] A means for suggesting beauty facilities and tools for realizing the generated eyebrow shape;

[1822] A means for generating an image or drawing data for visualizing the generated eyebrow shape;

[1823] means for transmitting and displaying information about the proposed beauty facilities and tools to a user's terminal;

[1824] A system including:

[1825] (Claim 2)

[1826] The system of claim 1, wherein location information is used to select a beauty facility to achieve the proposed eyebrow shape.

[1827] (Claim 3)

[1828] 10. The system of claim 1, wherein the system generates image or drawing data for visualizing the proposed eyebrow shape.

[1829] "Application example 2 when combining emotion engines"

[1830] Processing results

[1831] (Claim 1)

[1832] means for receiving a facial image captured by a terminal operated by a user;

[1833] means for analyzing the received facial image to identify facial bone structure and impression;

[1834] A means for generating an optimal eyebrow shape for a user based on the identified bone structure and impression;

[1835] A means for suggesting beauty facilities and tools for realizing the generated eyebrow shape;

[1836] means for recognizing a user's emotion and adjusting the shape of the eyebrows based on the emotion;

[1837] A method to analyze the user's facial image in real time at a physical store and suggest the optimal eyebrow shape,

[1838] A system including:

[1839] (Claim 2)

[1840] 10. The system of claim 1, further comprising means for utilizing the location information in selecting a beauty facility for achieving the proposed eyebrow shape.

[1841] (Claim 3)

[1842] 10. The system of claim 1, further comprising means for generating image or drawing data for visualizing the proposed eyebrow shape. [Explanation of symbols]

[1843] 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. means for receiving a facial image captured by a terminal operated by a user; means for analyzing the received facial image to identify facial bone structure and impression; A means for generating an optimal eyebrow shape for a user based on the identified bone structure and impression; A means for suggesting beauty facilities and tools for realizing the generated eyebrow shape; A system including:

2. The system of claim 1 further comprising means for utilizing the location information in selecting a beauty salon for achieving the proposed eyebrow shape.

3. 10. The system of claim 1, further comprising means for generating image or drawing data for visualizing the proposed eyebrow shape.

Images