Health analysis method, system, device and equipment based on photos and storage medium

Abstract

The invention discloses a photo-based health analysis method, system and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a large number of user face sample photos, carrying out the health data processing of the user face sample photos, obtaining the health data corresponding to the face sample photos, and enabling the health data to comprise the gender of a user, the gender of the user, and the gender of the user. Age, complexion state, lip color state, tongue coating state, five sense organ characteristics and skin state; and training the face sample photo and the health data based on a generative artificial intelligence pre-training model, generating a health analysis model, obtaining a face photo uploaded by the user, and performing health analysis on the face photo uploaded by the user according to the generated health analysis model. According to the method, the health condition of the user is analyzed by using the health analysis model in combination with the traditional Chinese medicine theory through the face picture uploaded by the user, the potential health problem of the user is judged, and the convenience of user health detection is improved.

Description

Technical Field

[0001] The present invention relates to the field of photo-based health analysis, and in particular to a photo-based health analysis method, system, device, equipment and storage medium. Background Art

[0002] With the continuous improvement of living standards, people pay more and more attention to health issues. More and more health testing products have appeared on the market. People use health testing products to test their own health. However, traditional health testing is based on the theory of Western medicine. Diseases can only be discovered by testing people's various physiological indicators. People need to wear various instruments for testing. The accuracy and efficiency of these health tests relying on instruments are limited, and Chinese medicine theory is rarely used to test users' health. Therefore, there is an urgent need for a convenient and fast health testing method based on Chinese medicine theory to detect users' health problems and provide users with health management suggestions. Summary of the invention

[0003] Embodiments of the present invention provide a photo-based health analysis method, system, device, equipment and storage medium to solve the problem of photo-based health analysis.

[0004] A photo-based health analysis method, comprising: Acquire a large number of user facial sample photos, and perform health data processing on the user facial sample photos to obtain health data corresponding to the facial sample photos, wherein the health data includes the user's gender, age, complexion condition, lip color condition, tongue coating condition, facial features and skin condition; Training the facial sample photos and the health data based on a generative artificial intelligence pre-training model to generate a health analysis model; Acquire the facial photo uploaded by the user, and perform health analysis on the facial photo uploaded by the user according to the generated health analysis model.

[0005] A photo-based health analysis system, comprising a client and a server; The client is used to collect facial pictures of users, obtain health data through the facial pictures, and upload the facial pictures and health data of users to the server; The server is used to obtain a large number of user facial sample photos and health data corresponding to the facial sample photos, train a health analysis model, analyze the user's health status based on the trained health analysis model according to the user facial photos and health data sent by the client, and continuously optimize the health analysis model.

[0006] A photo-based health analysis device, comprising: An acquisition module, used to acquire a large number of user face sample photos, and perform health data processing on the user face sample photos to obtain health data corresponding to the face sample photos, wherein the health data includes the user's gender, age, complexion state, lip color state, tongue coating state, facial features and skin condition; A processing module, used for training the facial sample photos and the health data based on a generative artificial intelligence pre-training model to generate a health analysis model; The analysis module is used to obtain facial photos uploaded by users and perform health analysis on the facial photos uploaded by users according to the generated health analysis model.

[0007] Optionally, the photo-based health analysis device comprises: A first processing module, used to calculate the user's health data based on the facial photo uploaded by the user to the client, and upload the user's health data to the server; A calculation module, wherein the server performs comparative analysis on the health data of the user based on a health analysis model and a health standard data threshold, wherein the health standard data threshold is a standard health data range calculated based on a healthy facial picture; The first analysis module is used to compare and analyze the user's health data with the health standard data threshold, and judge the user's health status according to the result of the analysis and comparison.

[0008] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned photo-based health analysis method when executing the computer program.

[0009] A computer-readable storage medium stores a computer program, which implements the above-mentioned photo-based health analysis method when executed by a processor.

[0010] The above-mentioned photo-based health analysis method, system, device, equipment and storage medium obtain a large number of user facial sample photos, and perform health data processing on the user facial sample photos to obtain health data corresponding to the facial sample photos, wherein the health data includes the user's gender, age, complexion state, lip color state, tongue coating state, facial features and skin condition, and trains the facial sample photos and the health data based on the generative artificial intelligence pre-training model to generate a health analysis model, obtain the facial sample photos uploaded by the user, and perform health analysis on the facial photos uploaded by the user according to the generated health analysis model. This application analyzes the user's health status by combining the user's uploaded facial photos with the health analysis model in combination with the theory of traditional Chinese medicine, judges the user's potential health problems, and improves the convenience of user health testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0012] Figure 1 is a schematic diagram of an application environment of a photo-based health analysis method in an embodiment of the present invention; Figure 2 is a flow chart of a photo-based health analysis method in one embodiment of the present invention; Figure 3 is a schematic diagram of a photo-based health analysis device in one embodiment of the present invention; Figure 4 is a schematic diagram of a computer device in one embodiment of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] The photo-based health analysis method provided by the embodiment of the present invention can be applied as follows: Figure 1 Specifically, the photo-based health analysis method is applied in a photo-based health analysis system, and the photo-based health analysis system includes: Figure 1The client and server shown in the figure communicate with each other through the network to realize health analysis of facial photos uploaded by users based on the health analysis model. The client, also known as the user end, refers to a program corresponding to the server that provides local services to customers. The client can be installed on, but not limited to, a TV, various personal computers, laptops, smart phones, tablets, and portable wearable devices. The server can be implemented as an independent server or a server cluster consisting of multiple servers.

[0015] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0016] It should also be understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0017] As used in the present specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]", depending on the context.

[0018] In addition, in the description of the present specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0019] References to "one embodiment" or "some embodiments" etc. described in the present specification mean that one or more embodiments of the present invention include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0020] It should be understood that the order of execution of the steps in the following embodiments does not imply a precedence of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0021] In order to illustrate the technical solution of the present invention, specific embodiments are provided below for illustration.

[0022] In one embodiment, if Figure 2 As shown, a photo-based health analysis method is provided, and the application of this method is used as an example for explanation, including the following steps: S10: Acquire a large number of user facial photos, and perform health data processing on the user facial sample photos to obtain health data corresponding to the facial sample photos, wherein the health data includes the user's gender, age, complexion condition, lip color condition, tongue coating condition, facial features and skin condition; S20: Training the facial sample photo and the health data based on a generative artificial intelligence pre-training model to generate a health analysis model; S30: Obtain the facial photo uploaded by the user, and perform health analysis on the facial photo uploaded by the user according to the generated health analysis model.

[0023] Specifically, the photo-based analysis method in this application requires obtaining a large number of user facial sample pictures in the early stage, processing the user facial sample photos for health data, obtaining the health data corresponding to the facial sample photos, and training the facial sample photos and the health data based on the generative artificial intelligence pre-training model to generate a health analysis model. When the user needs to check his or her health status, the user will upload his or her complete facial photo to the TV end. After the TV end obtains the facial photo, it will process the health data of the user's facial photo, and generate relevant health data based on the facial photo analysis. Then, the facial photo and the health data are calculated and analyzed based on the generative artificial intelligence pre-training model, and the facial photo uploaded by the user is analyzed according to the health analysis model to obtain the user's health status. Among them, in order to continuously optimize the health analysis model, it is necessary to collect the user's facial photos and the user's health data with the user's consent and train the health analysis model.

[0024] Among them, the user's facial photos are processed for health data, and according to the theory of "looking, smelling, asking and feeling" in traditional Chinese medicine, the user's age, gender, the state of the user's complexion, the state of the lip color, the state of the tongue coating, the facial features and the skin condition are obtained. The generative artificial intelligence pre-training model (AIGC, Artificial Intelligence Generated Content) uses artificial intelligence algorithms to generate content with certain creativity and quality. Through the training model and the learning of a large amount of data, it can generate related content according to the input conditions or guidance. For example, in this application, AIGC and a large number of user facial photos and a health data training model generated based on facial photos are used to make it a health analysis model to analyze the health status of facial photos uploaded by users.

[0025] In one embodiment, a photo-based health analysis method is provided. In step S30, health analysis is performed on the facial photo uploaded by the user according to the health analysis model, including the following steps: S31: Calculating the user's health data based on the facial photo uploaded by the user to the client, and uploading the user's health data to the server; S32: the server performs comparative analysis on the health data of the user based on the health analysis model and the health standard data threshold, wherein the health standard data threshold is a standard health data range calculated based on a healthy facial picture; S33: Compare and analyze the user's health data with the health standard data threshold, and determine the user's health status based on the results of the analysis and comparison.

[0026] Specifically, the facial photos uploaded by the user are uploaded to the server, and the user's health data calculated by the facial photos are also uploaded to the server, wherein the user's facial photos and user health data uploaded to the server are stored in the server's database, and the health analysis model uses the user photos and user health data stored in the server to analyze the user's health status, and the health analysis model compares the user's health data with the health standard data threshold one by one to judge the user's health status. Among them, the health standard data threshold is the standard health data range calculated based on the facial picture, that is, the standard range of complexion, lip color, tongue coating, facial features and skin condition of users of different age groups and different genders in a healthy state.

[0027] In one embodiment, a photo-based health analysis method is provided. In step S33, the health data of the user is compared with the health standard data threshold, and the health status of the user is judged according to the result of the analysis and comparison, including the following steps: S331: If the health data calculated based on the facial photos uploaded by the user is greater than or less than the health standard data threshold, the user is required to re-upload more facial photos to conduct a comprehensive analysis of the user's health status; S332: If the user's health data is within the health standard data threshold, it is determined that the user has no health problems.

[0028] Specifically, when analyzing the user's health status, if the user's health data is within the health standard data threshold, it is judged that the user has no health problems. If the health data calculated based on the facial photos uploaded by the user is greater than or less than the health standard data threshold, the user is required to re-upload more facial photos to conduct a comprehensive analysis of the user's health status. When the user re-uploads multiple facial photos, the user's comprehensive health data is calculated and uploaded to the health analysis model for comprehensive analysis. If the comprehensive analysis confirms that the user is ill, information about nearby hospitals is recommended to the user. If the comprehensive analysis cannot confirm the user's problem, the user is advised to consult a professional doctor. If the comprehensive analysis confirms that the user is in a healthy state, the user's health is continuously monitored.

[0029] The above-mentioned photo-based health analysis method, system, device, equipment and storage medium obtain a large number of user facial sample photos, and perform health data processing on the user facial sample photos to obtain health data corresponding to the facial sample photos, wherein the health data includes the user's gender, age, complexion state, lip color state, tongue coating state, facial features and skin condition, and trains the facial sample photos and the health data based on the generative artificial intelligence pre-training model to generate a health analysis model, obtain the facial sample photos uploaded by the user, and perform health analysis on the facial photos uploaded by the user according to the generated health analysis model. This application analyzes the user's health status by combining the user's uploaded facial photos with the health analysis model in combination with the theory of traditional Chinese medicine, judges the user's potential health problems, and improves the convenience of user health testing.

[0030] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0031] In one embodiment, a photo-based health analysis device is provided, and the photo-based health analysis device corresponds one-to-one to the photo-based health analysis method in the above embodiment. Figure 3 As shown, the photo-based health analysis device includes: an acquisition module 101, a processing module 102 and an analysis module 103. The detailed description of each functional module is as follows: The acquisition module 101 is used to acquire a large number of user face sample photos, and perform health data processing on the user face sample photos to obtain health data corresponding to the face sample photos, wherein the health data includes the user's gender, age, complexion state, lip color state, tongue coating state, facial features and skin condition; The processing module 102 is used to train the facial sample photos and the health data based on the generative artificial intelligence pre-training model to generate a health analysis model; The analysis module 103 is used to obtain the facial photos uploaded by the user and perform health analysis on the facial photos uploaded by the user according to the generated health analysis model.

[0032] Specifically, the photo-based analysis method in this application requires obtaining a large number of user facial sample pictures in the early stage, processing the user facial sample photos for health data, obtaining the health data corresponding to the facial sample photos, and training the facial sample photos and the health data based on the generative artificial intelligence pre-training model to generate a health analysis model. When the user needs to check his or her health status, the user will upload his or her complete facial photo to the TV end. After the TV end obtains the facial photo, it will process the health data of the user's facial photo, and generate relevant health data based on the facial photo analysis. Then, the facial photo and the health data are calculated and analyzed based on the generative artificial intelligence pre-training model, and the facial photo uploaded by the user is analyzed according to the health analysis model to obtain the user's health status. Among them, in order to continuously optimize the health analysis model, it is necessary to collect the user's facial photos and the user's health data with the user's consent and train the health analysis model.

[0033] Among them, the user's facial photos are processed for health data, and according to the theory of "looking, smelling, asking and feeling" in traditional Chinese medicine, the user's age, gender, the state of the user's complexion, the state of the lip color, the state of the tongue coating, the facial features and the skin condition are obtained. The generative artificial intelligence pre-training model (AIGC, Artificial Intelligence Generated Content) uses artificial intelligence algorithms to generate content with certain creativity and quality. Through the training model and the learning of a large amount of data, it can generate related content according to the input conditions or guidance. For example, in this application, AIGC and a large number of user facial photos and a health data training model generated based on facial photos are used to make it a health analysis model to analyze the health status of facial photos uploaded by users.

[0034] Optionally, the analysis module further includes the following modules: A processing module, used to calculate the user's health data based on the facial photo uploaded by the user to the client, and upload the user's health data to the server; A calculation module, wherein the server performs comparative analysis on the health data of the user based on a health analysis model and a health standard data threshold, wherein the health standard data threshold is a standard health data range calculated based on a healthy facial picture; The analysis module is used to compare and analyze the user's health data with the health standard data threshold, and judge the user's health status based on the results of the analysis and comparison.

[0035] Specifically, the facial photos uploaded by the user are uploaded to the server, and the user's health data calculated by the facial photos are also uploaded to the server, wherein the user's facial photos and user health data uploaded to the server are stored in the server's database, and the health analysis model uses the user photos and user health data stored in the server to analyze the user's health status, and the health analysis model compares the user's health data with the health standard data threshold one by one to judge the user's health status. Among them, the health standard data threshold is the standard health data range calculated based on the facial picture, that is, the standard range of complexion, lip color, tongue coating, facial features and skin condition of users of different age groups and different genders in a healthy state.

[0036] For the specific definition of the photo-based health analysis device, please refer to the definition of the photo-based health analysis method above, which will not be repeated here. The various modules in the above-mentioned photo-based health analysis device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0037] In one embodiment, a photo-based health analysis system is provided, which corresponds one-to-one to the photo-based health analysis method in the above embodiment. The photo-based health analysis device includes: a client and a server. The functional modules are described in detail as follows: The client is used to collect facial pictures of users, obtain health data through the facial pictures, and upload the facial pictures and health data of users to the server; The server is used to obtain a large number of user facial sample photos and health data corresponding to the facial sample photos, train a health analysis model, analyze the user's health status based on the trained health analysis model according to the user facial photos and health data sent by the client, and continuously optimize the health analysis model.

[0038] For the specific limitations of the photo-based health analysis system, please refer to the limitations of the photo-based health analysis method above, which will not be repeated here. The various modules in the above-mentioned photo-based health analysis system can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0039] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 4 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store facial photos and perform health data processing on the user's facial photos to obtain health data corresponding to the facial photos. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a photo-based health analysis method is implemented.

[0040] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the photo-based health analysis method in the above embodiment is implemented, for example Figure 2 Alternatively, when the processor executes the computer program, the functions of each module / unit in the embodiment of the photo-based health analysis device are realized, for example Figure 3 The photo-based health analysis functions shown are not described here in detail to avoid repetition.

[0041] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the photo-based health analysis method in the above embodiment is implemented, for example Figure 2 Alternatively, when the computer program is executed by the processor, the functions of each module / unit in the embodiment of the above-mentioned health analysis device based on photos are realized, for example Figure 3 The photo-based health analysis functions shown are not described here in detail to avoid repetition.

[0042] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0043] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0044] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A photo-based health analysis method, characterized in that: include: Acquire a large number of user facial sample photos, and perform health data processing on the user facial sample photos to obtain health data corresponding to the facial sample photos, wherein the health data includes the user's gender, age, complexion condition, lip color condition, tongue coating condition, facial features and skin condition; Training the facial sample photos and the health data based on a generative artificial intelligence pre-training model to generate a health analysis model; Acquire the facial photo uploaded by the user, and perform health analysis on the facial photo uploaded by the user according to the generated health analysis model.

2. The photo-based health analysis method according to claim 1, characterized in that: The acquiring of the facial sample photos uploaded by the user and performing health analysis on the facial photos uploaded by the user according to the generated health analysis model includes: Calculating the user's health data based on the facial photo uploaded by the user to the client, and uploading the user's health data to the server; The server performs comparative analysis on the health data of the user based on the health analysis model and the health standard data threshold, wherein the health standard data threshold is a standard health data range calculated based on a healthy facial picture; The user's health data is compared and analyzed with the health standard data threshold, and the user's health status is judged based on the results of the analysis and comparison.

3. The photo-based health analysis method according to claim 2, characterized in that: The determining the health status of the user according to the result of the comparative analysis of the health data of the user includes: If the health data calculated based on the facial photos uploaded by the user is greater than or less than the health standard data threshold, the user is required to re-upload more facial photos to conduct a comprehensive analysis of the user's health status; If the user's health data is within the health standard data threshold, it is determined that the user has no health problems.

4. The photo-based health analysis method according to claim 3, characterized in that: The user is required to re-upload more facial photos to conduct a comprehensive analysis of the user's health status, including: Calculate the user's comprehensive health data based on the multiple facial photos re-uploaded by the user, and upload the health data to the health analysis model for comprehensive analysis; If the user is confirmed to exist based on comprehensive analysis, nearby hospital information will be recommended to the user; If the user's problem cannot be confirmed based on comprehensive analysis, the user is advised to consult a professional doctor; If the user is confirmed to be in a healthy state based on comprehensive analysis, the user's health will be continuously monitored.

5. The photo-based health analysis method according to claims 1-4, characterized in that: Training the health analysis model includes: with the user's consent, using the facial photos uploaded by the user and the user's health data to optimize the health analysis model.

6. A photo-based health analysis system, characterized in that: Includes client and server; The client is used to collect facial pictures of users, obtain health data through the facial pictures, and upload the facial pictures and health data of users to the server; The server is used to obtain a large number of user facial sample photos and health data corresponding to the facial sample photos, train a health analysis model, analyze the user's health status based on the trained health analysis model according to the user facial photos and health data sent by the client, and continuously optimize the health analysis model.

7. A photo-based health analysis device, comprising: An acquisition module, used to acquire a large number of user face sample photos, and perform health data processing on the user face sample photos to obtain health data corresponding to the face sample photos, wherein the health data includes the user's gender, age, complexion state, lip color state, tongue coating state, facial features and skin condition; A processing module, configured to train the facial photo and the health data based on a generative artificial intelligence pre-training model to generate a health analysis model; The analysis module is used to obtain facial photos uploaded by users and perform health analysis on the facial photos uploaded by users according to the generated health analysis model.

8. The photo-based health analysis device according to claim 7, characterized in that: The analysis module comprises: A first processing module, used to calculate the user's health data based on the facial photo uploaded by the user to the client, and upload the user's health data to the server; A calculation module, wherein the server performs comparative analysis on the health data of the user based on a health analysis model and a health standard data threshold, wherein the health standard data threshold is a standard health data range calculated based on a healthy facial picture; The first analysis module is used to compare and analyze the user's health data with the health standard data threshold, and judge the user's health status according to the result of the analysis and comparison.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the photo-based health analysis method according to any one of claims 1 to 5 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the photo-based health analysis method according to any one of claims 1 to 5 is implemented.

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