An ai-based eye health management and lens fitting recommendation method and system

Abstract

The application provides an AI-based eye health management and lens fitting recommendation method and system, which captures eye state information through a collection device, synchronously acquires optometry data and eye detection data and pre-processes; inputs the data into an AI analysis model, identifies eye features and analyzes eye health conditions, and generates a health assessment report; based on the report, matches correction and protection schemes and screens adaptive contact lenses in combination with eye use requirements; through the linkage of intelligent wearable devices and special function contact lenses, eye data is monitored and health management suggestions are generated, visual expansion effect is realized, and the evaluation results and recommended schemes are continuously iterated and optimized, realizing the individualization and intelligentization of eye health management and lens fitting recommendation.

Description

Technical Field

[0001] This invention relates to the field of eye health management and contact lens fitting technology, specifically to an AI-based method and system for eye health management and lens fitting recommendation. Background Technology

[0002] In the fields of eye health management and contact lens fitting, traditional methods rely heavily on manual testing to obtain basic eye data, combined with experience to judge eye health status and recommend lenses. This lacks systematic data analysis and intelligent management tools. Manual testing is not only inefficient but also has limited accuracy in recognizing subtle conditions such as bloodshot eyes, tears, and fluid film, failing to comprehensively grasp eye health. Consequently, recommended contact lenses often only meet basic refractive correction needs, making it difficult to adapt to the wearer's individual eye characteristics and eye habits, easily leading to discomfort and worsening eye condition. Furthermore, traditional methods cannot achieve real-time monitoring of eye health, only providing periodic checks to understand eye condition, and cannot offer timely, targeted health management advice, failing to meet wearers' needs for refined eye health management.

[0003] While existing technologies incorporate some intelligent methods for eye detection and lens recommendation, they often suffer from limited functionality, failing to achieve integrated solutions for eye health monitoring, health assessment, lens fitting recommendations, and visual enhancement. Some technologies can only collect basic eye data or recommend lens parameters, lacking the integration of AI algorithms for in-depth analysis of multiple types of eye data. This makes it impossible to accurately identify subtle eye abnormalities or dynamically optimize lens recommendations based on changes in eye health. Furthermore, current technologies lack effective collaboration between smart wearable devices and specialized contact lenses, hindering real-time monitoring of eye physiological data and lens wearing status. This makes it difficult to provide personalized health management advice, and the absence of visual enhancement capabilities fails to meet the wearer's visual needs in different scenarios. Overall, the level of intelligence and personalization is low, failing to fundamentally address the shortcomings of traditional methods. Summary of the Invention

[0004] To address the aforementioned technical shortcomings, the purpose of this invention is to provide an AI-based method and system for eye health management and lens fitting recommendations. This system monitors eye data and generates health management suggestions to achieve visual enhancement effects. Simultaneously, it continuously iterates and optimizes the evaluation results and recommendation schemes, thereby realizing personalized and intelligent eye health management and lens fitting recommendations.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] An AI-based method for eye health management and lens fitting recommendation includes the following steps:

[0007] S1. Capture the wearer's eye status information through the acquisition device, simultaneously acquire optometry data and eye detection data, integrate various data and complete cleaning preprocessing;

[0008] S2. Input the preprocessed data into the AI ​​analysis model to identify the state characteristics of blood vessels, tears, and fluid film in the eyeball, analyze the wearer's eye health status, and generate an eye health assessment report;

[0009] S3. Based on the eye health assessment report and the wearer's eye needs, match eye correction and protection solutions, select suitable contact lens types, and clarify the lens material, oxygen permeability, moisturizing performance, and anti-fatigue performance indicators.

[0010] S4. Through the linkage between smart wearable devices and special function contact lenses, continuously monitor the wearer's eye physiological data and lens wearing status, generate eye health monitoring data and form health management suggestions;

[0011] S5 leverages the display function of smart wearable devices combined with special-function contact lenses to achieve visual expansion effects, while continuously collecting eye data to iteratively optimize eye health assessment results and lens fitting recommendations.

[0012] Preferably, in step S1, the method of capturing the wearer's eye state information through a data acquisition device, simultaneously acquiring refraction data and eye detection data, integrating various data and completing cleaning and preprocessing specifically involves: using a mobile phone camera, VR glasses, or the internal projection component of smart glasses to capture the dynamic state information of the wearer's eyes after putting on and taking off contact lenses; acquiring refraction data of refractive power and astigmatism axis through a refraction device, and acquiring eye detection data of corneal curvature and ocular surface condition through an eye detection device; performing feature extraction and noise reduction processing on image data, performing outlier removal and standardization processing on numerical data, and integrating all processed data to form a comprehensive eye dataset.

[0013] Preferably, in step S2, the method of inputting the preprocessed data into the AI ​​analysis model to identify the state characteristics of blood vessels in the eye, tears, and fluid film, and to analyze the wearer's eye health status and generate an eye health assessment report is as follows: The comprehensive eye dataset is input into the AI ​​analysis model trained with eye health sample data. The distribution and density characteristics of blood vessels in the eye, the secretion and distribution characteristics of tears, and the integrity and thickness variation characteristics of the fluid film are extracted through image recognition algorithms. The AI ​​model combines optometry data and eye detection data to comprehensively analyze the extracted features, determine the level of eye health status, identify non-disease-related abnormalities on the ocular surface, and generate an eye health assessment report that includes health status, abnormal status, and eye fit characteristics.

[0014] Preferably, in step S3, the method for matching eye correction and protection solutions based on the eye health assessment report and the wearer's eye needs, and for selecting suitable contact lens types and clarifying the lens material, oxygen permeability, moisturizing performance, and anti-fatigue performance indicators, specifically involves: based on the eye health status and compatibility characteristics in the eye health assessment report, combined with the wearer's daily eye use scenarios, eye use duration, and visual needs, matching corresponding eye correction and eye health protection solutions; selecting suitable lens types from the dimensions of contact lens material type, oxygen permeability, moisturizing performance, and anti-fatigue performance; and determining the lens's refractive power, base curve size, and optical zone range performance indicators based on optometry data and corneal curvature parameters to form a recommended contact lens compatibility solution.

[0015] Preferably, in step S4, the method for continuously monitoring the wearer's ocular physiological data and lens wearing status through the linkage between the smart wearable device and the special function contact lens, generating ocular health monitoring data and forming health management suggestions, specifically involves: establishing a linkage between VR glasses equipped with sensing components and special function contact lenses with integrated biosensors; collecting ocular physiological data such as tear secretion and ocular surface humidity through the biosensors of the contact lenses; and monitoring the wearing status data such as the fit, wearing time, and cleanliness of the contact lenses through the sensing components of the VR glasses; transmitting both types of data to the AI ​​analysis model in real time for comprehensive analysis, and generating personalized ocular health management suggestions including eye habits, lens wearing, and eye care based on data change trends.

[0016] Preferably, the method for generating personalized eye health management suggestions that include eye habits, lens wearing, and eye care is as follows: Dynamic physiological data on tear secretion, tear evaporation rate, and ocular surface humidity are continuously collected by the biosensors of special-function contact lenses, and transmitted in real time to VR glasses and synchronized to an AI analysis model. The AI ​​analysis model performs trend analysis on the physiological data, and when the data shows that the ocular surface is dry and tear secretion is insufficient, it generates corresponding health management suggestions for eye moisturizing, eye rest, and lens replacement, and provides prompts through the VR glasses.

[0017] Preferably, in step S5, the method of achieving visual enhancement effect by relying on the display function of the smart wearable device and special function contact lenses is as follows: by using the display and imaging function of VR glasses and combining special function contact lenses with optical adjustment function, the visual image of the real scene is enhanced by pixel enhancement, brightness adjustment and color difference correction to achieve visual enhancement effect; by using the real scene acquisition and image overlay function of VR glasses, virtual information and real scene are integrated and presented to achieve augmented reality effect; at the same time, the optical filter design of the lens combined with the imaging module of VR glasses achieves night vision effect.

[0018] Preferably, in step S5, the method of continuously collecting eye data to iteratively optimize the eye health assessment results and lens fitting recommendations specifically involves: continuously collecting eye status information, eye physiological data, and lens wearing experience feedback data during the wearer's use of contact lenses and smart wearable devices, and supplementing the new data into the comprehensive eye dataset; the AI ​​analysis model re-analyzes the eye health status based on the updated dataset, iteratively optimizes the eye health assessment results, and adjusts the performance indicators and visual expansion function parameters of contact lenses in conjunction with wearing experience feedback, thereby optimizing eye health management suggestions and lens fitting recommendations.

[0019] An AI-based eye health management and lens fitting recommendation system includes a data acquisition module, a data preprocessing module, an AI health analysis module, a lens fitting recommendation module, an intelligent monitoring and management module, a vision enhancement module, a solution iteration module, and a main control module. The data acquisition module captures eye state information and acquires optometry and eye examination data. The data preprocessing module integrates and cleans various types of preprocessed eye data. The AI ​​health analysis module analyzes the data and generates an eye health assessment report. The lens fitting recommendation module matches eye solutions and filters and recommends contact lens types. The intelligent monitoring and management module monitors eye data and generates personalized health management suggestions. The vision enhancement module combines devices to achieve visual enhancement and real-world overlay effects. The solution iteration module continuously collects data and optimizes assessment results and recommended solutions. The main control module connects to each module, coordinating their operation and enabling data interaction.

[0020] Preferably, the data acquisition module includes an ocular image acquisition unit, an optometry data acquisition unit, and an eye detection unit. The ocular image acquisition unit is equipped with a mobile phone camera, VR glasses, and a projection component inside smart glasses to capture the state of the eye under different conditions. The intelligent monitoring and management module includes a biosensing unit, a data monitoring unit, and a health suggestion generation unit. The biosensing unit works in conjunction with the biosensors of special function contact lenses to collect ocular physiological data. The lens fitting recommendation module includes a solution matching unit, a lens screening unit, and a performance index determination unit. The lens screening unit selects suitable contact lens types based on dimensions such as material, oxygen permeability, moisturizing performance, and anti-fatigue performance.

[0021] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0022] The data acquisition module can comprehensively capture the eye status information of the wearer after putting on and taking off contact lenses through various acquisition devices, and simultaneously acquire optometry data and eye test data. The data preprocessing module cleans and standardizes various types of data, and integrates them into a complete comprehensive eye dataset, providing comprehensive and accurate data support for subsequent eye health analysis and lens fitting recommendations, ensuring the pertinence of analysis results and recommendations.

[0023] The AI ​​health analysis module uses AI analysis models to perform in-depth analysis of comprehensive eye datasets, accurately identifying the state characteristics of blood vessels, tears, and fluid film in the eyeballs, determining the level of eye health status, identifying non-disease-related abnormalities, and generating a complete eye health assessment report. This overcomes the limitations of manual analysis and improves the accuracy and efficiency of eye health assessment.

[0024] The lens fitting recommendation module matches the corresponding eye correction and protection solutions based on the eye health assessment report and the wearer's visual needs. It filters suitable contact lens types from multiple dimensions and clarifies relevant performance indicators to form a personalized lens fitting recommendation plan. This ensures that the recommended lenses fit the wearer's eye characteristics and visual needs, improving wearing comfort and fit.

[0025] The intelligent monitoring and management module enables the linkage between smart wearable devices and special function contact lenses, continuously monitoring eye physiological data and lens wearing status. Through AI analysis models, it generates personalized eye health management suggestions, achieving real-time monitoring and precise guidance for eye health, and helping wearers adjust their eye habits and lens wearing methods in a timely manner.

[0026] The visual enhancement module leverages the display function of smart wearable devices and special-function contact lenses to achieve visual enhancement, augmented reality, and night vision effects, enriching the wearer's visual experience, meeting visual needs in different scenarios, and improving the product's practicality and applicability.

[0027] The solution iteration module continuously collects various data during the wearing process, supplements and updates the comprehensive eye dataset, and iteratively optimizes the eye health assessment results and lens fitting recommendations through AI analysis models. At the same time, it adjusts the parameters of the visual expansion function to ensure that the solution always fits the wearer's eye condition and visual needs, achieving continuous optimization and upgrades.

[0028] The system integrates multiple modules to achieve unified management of eye data collection, preprocessing, health analysis, lens recommendation, real-time monitoring, visual expansion, and solution iteration. It constructs a complete eye health management and lens fitting recommendation system, improves the overall intelligence level, and realizes personalized and refined eye health management and lens fitting services. Attached Figure Description

[0029] Figure 1 This is a flowchart of the method in this invention;

[0030] Figure 2 This is a structural block diagram of the system in this invention. Detailed Implementation

[0031] The invention will now be further described with reference to the accompanying drawings.

[0032] like Figure 1 As shown, an AI-based method for eye health management and lens fitting recommendation includes the following steps:

[0033] S1. Capture the wearer's eye status information through the acquisition device, simultaneously acquire optometry data and eye detection data, integrate various data and complete the cleaning preprocessing:

[0034] Using the internal projection components of mobile phone cameras, VR glasses, and smart glasses, the system captures the dynamic state information of the wearer's eyeballs after putting on and taking off contact lenses; it obtains refractive data such as refractive power and astigmatism axis through optometry equipment, and obtains eye detection data such as corneal curvature and ocular surface condition through eye detection equipment; it performs feature extraction and noise reduction on image data, outlier removal and standardization on numerical data, and integrates all processed data to form a comprehensive eye dataset;

[0035] S2. Input the preprocessed data into the AI ​​analysis model to identify the state characteristics of blood vessels, tears, and fluid film in the eyeball, analyze the wearer's eye health status, and generate an eye health assessment report:

[0036] The comprehensive eye dataset is input into an AI analysis model trained on eye health sample data. Image recognition algorithms are used to extract features such as the distribution and density of blood vessels in the eyeball, the secretion and distribution of tears, and the integrity and thickness changes of the tear film. The AI ​​model combines optometry data and eye detection data to comprehensively analyze the extracted features, determine the level of eye health status, identify non-disease-related abnormalities on the ocular surface, and generate an eye health assessment report that includes health status, abnormal status, and eye compatibility features.

[0037] S3. Based on the eye health assessment report and the wearer's visual needs, match eye correction and protection solutions, select suitable contact lens types, and specify the lens material, oxygen permeability, moisturizing performance, and anti-fatigue performance indicators:

[0038] Based on the eye health status and compatibility characteristics in the eye health assessment report, combined with the wearer's daily eye use scenarios, eye use duration, and visual needs, corresponding eye correction and eye health protection plans are matched; suitable lens types are selected from the dimensions of contact lens material type, oxygen permeability, moisturizing performance, and anti-fatigue performance; and the refractive power, base curve size, and optical zone range of the lens are determined according to the optometry data and corneal curvature parameters to form a contact lens compatibility recommendation plan;

[0039] S4. Through the linkage between smart wearable devices and special function contact lenses, continuously monitor the wearer's ocular physiological data and lens wearing status, generate ocular health monitoring data, and formulate health management suggestions:

[0040] This system establishes a linkage between VR glasses equipped with sensing components and special-function contact lenses with integrated biosensors. The contact lenses' biosensors collect physiological data on the wearer's tear secretion and ocular surface moisture, while the VR glasses' sensing components monitor the contact lenses' fit, wearing time, and cleanliness. Both types of data are transmitted in real-time to an AI analysis model for comprehensive analysis. Based on data trends, personalized eye health management recommendations are generated, including suggestions on eye habits, lens wearing, and eye care. Specifically, the special-function contact lenses' biosensors continuously collect dynamic physiological data on the wearer's tear secretion, tear evaporation rate, and ocular surface moisture, transmitting this data in real-time to the VR glasses and synchronizing it with the AI ​​analysis model. The AI ​​analysis model performs trend analysis on the physiological data. When the data indicates dryness and insufficient tear secretion, it generates corresponding health management recommendations for eye moisturizing, eye rest, and lens replacement, which are then displayed through the VR glasses.

[0041] S5. Achieving visual extension effects by combining the display function of smart wearable devices with special function contact lenses:

[0042] By combining the display and imaging functions of VR glasses with special functional contact lenses that have optical adjustment capabilities, the visual image of the real scene is enhanced by pixel enhancement, brightness adjustment, and color difference correction to achieve visual enhancement effect; by combining the real scene acquisition and image overlay functions of VR glasses, virtual information is integrated with the real scene to achieve augmented reality effect; at the same time, the optical filter design of the lens combined with the imaging module of VR glasses achieves night vision effect.

[0043] Simultaneously, we continuously collect eye data to iteratively optimize eye health assessment results and lens fitting recommendations:

[0044] During the use of contact lenses and smart wearable devices, information on eye status, eye physiological data, and lens wearing experience feedback are continuously collected, and the new data is added to the comprehensive eye dataset. The AI ​​analysis model then re-analyzes the eye health status based on the updated dataset, iteratively optimizes the eye health assessment results, and adjusts the performance indicators and visual expansion function parameters of contact lenses in combination with wearing experience feedback, thereby optimizing eye health management suggestions and lens fitting recommendations.

[0045] like Figure 2As shown, an AI-based eye health management and lens fitting recommendation system includes a data acquisition module, a data preprocessing module, an AI health analysis module, a lens fitting recommendation module, an intelligent monitoring and management module, a vision enhancement module, a solution iteration module, and a main control module. The data acquisition module captures eye state information and acquires optometry and eye examination data. The data preprocessing module integrates and cleans various types of preprocessed eye data. The AI ​​health analysis module analyzes the data and generates an eye health assessment report. The lens fitting recommendation module matches eye solutions and filters recommended contact lens types. The intelligent monitoring and management module monitors eye data and generates personalized health management suggestions. The vision enhancement module combines devices to achieve visual enhancement and real-scene overlay effects. The solution iteration module continuously collects data and optimizes assessment results and recommended solutions. The main control module connects to each module, coordinating their operation and enabling data interaction.

[0046] Furthermore, the data acquisition module includes an ocular image acquisition unit, an optometry data acquisition unit, and an eye detection unit. The ocular image acquisition unit is equipped with a mobile phone camera, VR glasses, and a projection component inside the smart glasses to capture the state of the eye under different conditions. The intelligent monitoring and management module includes a biosensing unit, a data monitoring unit, and a health suggestion generation unit. The biosensing unit works in conjunction with the biosensors of special function contact lenses to collect physiological data of the eye. The lens fitting recommendation module includes a solution matching unit, a lens screening unit, and a performance index determination unit. The lens screening unit selects suitable contact lens types based on dimensions such as material, oxygen permeability, moisturizing performance, and anti-fatigue performance.

[0047] Example 1

[0048] This embodiment is applied to eye health management and contact lens fitting recommendations for daily commuters. The specific process is as follows:

[0049] The data acquisition module captures the dynamic state of the wearer's eyes after putting on and taking off contact lenses using a mobile phone camera and the internal projection component of VR glasses. Simultaneously, it acquires refractive data (diopter and astigmatism axis) through an optometry device and corneal curvature and ocular surface condition data through an eye detection device. The data preprocessing module performs feature extraction and noise reduction on the acquired image data, outlier removal and standardization on the numerical data, and integrates all processed data to form a comprehensive ocular dataset.

[0050] The AI ​​health analysis module inputs a comprehensive eye dataset into an AI analysis model trained on eye health sample data. Through image recognition algorithms, it extracts features such as the distribution and density of blood vessels in the eye, the amount and distribution of tear secretion, and the integrity and thickness variations of the tear film. The AI ​​analysis model then combines optometry data and eye examination data to comprehensively analyze the extracted features, determine the level of eye health, identify potential non-disease-related abnormalities on the ocular surface such as dryness and excessive blood vessels, and generate an eye health assessment report that includes information on the healthy state, abnormal states, and eye compatibility characteristics.

[0051] The lens fitting recommendation module is based on the eye health status and fitting characteristics in the eye health assessment report, combined with the wearer's daily commuting eye usage scenarios, the duration of prolonged screen time, and the need for clear vision, to match corresponding eye correction and eye health protection solutions. It filters suitable lens types based on material type, oxygen permeability, moisturizing properties, and anti-fatigue performance of contact lenses. Based on refraction data and corneal curvature parameters, it determines the lens's refractive power, base curve size, and optical zone range performance indicators to form a contact lens fitting recommendation plan.

[0052] The intelligent monitoring and management module establishes a linkage between VR glasses equipped with sensing components and special-function contact lenses with integrated biosensors. The contact lenses' biosensors continuously collect physiological data on the wearer's eyes, such as tear secretion and ocular surface moisture. The VR glasses' sensing components monitor the contact lenses' fit, wearing time, and lens cleanliness. Both types of data are transmitted in real-time to an AI analysis model for comprehensive analysis. Based on data trends, personalized eye health management suggestions are generated, including reasonable control of screen time, regular eye moisturizing, periodic lens cleaning, and standardized wearing time, and these suggestions are displayed through the VR glasses.

[0053] The visual enhancement module leverages the display and imaging capabilities of VR glasses, combined with special functional contact lenses featuring optical adjustment, to enhance the visual imagery of real-world scenes during commutes through pixel enhancement, brightness adjustment, and color aberration correction, achieving a visual enhancement effect. Through the VR glasses' real-scene capture and image overlay functions, navigation information is fused with real-world road conditions, achieving an augmented reality effect. Simultaneously, the optical filter design of the lenses, combined with the VR glasses' imaging module, enables night vision in low-light environments. The solution iteration module continuously collects eye status information, eye physiological data, and lens wearing experience feedback data during the wearer's use of contact lenses and VR glasses. New data is added to the comprehensive eye dataset. The AI ​​analysis model re-analyzes eye health status based on the updated dataset, iteratively optimizing the eye health assessment results. Simultaneously, it adjusts the performance indicators and visual enhancement function parameters of the contact lenses based on wearing experience feedback, optimizing eye health management suggestions and lens fitting recommendations.

[0054] Example 2

[0055] This embodiment is applied to eye health management and contact lens fitting recommendations for people who spend long hours working at a desk. The specific process is as follows:

[0056] The data acquisition module captures the dynamic state of the wearer's eyes after putting on and taking off contact lenses using the internal projection component of the smart glasses and the phone's camera. Simultaneously, it acquires refractive data (diopter and astigmatism axis) through an optometry device and corneal curvature and ocular surface condition data through an eye detection device. The data preprocessing module performs feature extraction and noise reduction on the acquired image data to remove interference, outlier removal and standardization on numerical data, unifies the data format, and integrates all processed data to form a complete comprehensive ocular dataset.

[0057] The AI ​​health analysis module inputs a comprehensive eye dataset into the trained AI analysis model. Through image recognition algorithms, it accurately extracts features such as the distribution and density of blood vessels in the eye, the amount and distribution of tear secretion, and the integrity and thickness variations of the tear film. The AI ​​analysis model combines optometry data and eye examination data to comprehensively analyze the extracted features, determine the level of eye health, identify potential non-disease-related abnormalities on the ocular surface such as insufficient tear secretion and incomplete tear film, and generate an eye health assessment report that includes the healthy state, abnormal conditions, and eye fit characteristics, clarifying the core requirements for fitting contact lenses.

[0058] The lens fitting recommendation module is based on the eye health status and fitting characteristics in the eye health assessment report, combined with the wearer's long hours of desk work, near-vision usage time, and visual needs to relieve eye strain, to match corresponding eye correction and eye health protection solutions. It filters suitable lens types based on material type, oxygen permeability, moisturizing properties, and anti-fatigue performance, prioritizing lenses with superior moisturizing and anti-fatigue properties. Based on refraction data and corneal curvature parameters, it determines the lens's refractive power, base curve size, and optical zone range performance indicators to form a targeted contact lens fitting recommendation plan.

[0059] The intelligent monitoring and management module establishes a linkage between VR glasses equipped with sensing components and special-function contact lenses with integrated biosensors. The contact lenses' biosensors continuously collect dynamic physiological data on the wearer's tear secretion, tear evaporation rate, and ocular surface moisture. The VR glasses' sensing components monitor the contact lenses' fit, wearing time, and lens cleanliness in real time. Both types of data are transmitted in real-time to an AI analysis model for comprehensive analysis. When the data indicates dryness and insufficient tear secretion, corresponding health management suggestions are generated, including eye moisturizing, regular eye rest, and appropriate lens replacement. These suggestions are displayed in real-time on the VR glasses' interface, while data trends are recorded to provide a basis for subsequent optimization.

[0060] The visual enhancement module leverages the display and imaging capabilities of VR glasses, combined with special functional contact lenses featuring optical adjustment, to enhance the visual imagery in office scenarios through pixel enhancement, brightness adjustment, and color aberration correction, improving the clarity of near-field vision and achieving a visual enhancement effect. Through the VR glasses' real-scene capture and image overlay functions, virtual information such as office documents and meeting minutes are integrated with the real-world office environment, achieving an augmented reality effect and improving work efficiency. During nighttime overtime work, the optical filter design of the lenses, combined with the VR glasses' imaging module, enables night vision, reducing light stimulation to the eyes. The solution iteration module continuously collects information on the wearer's eye status, eye physiological data, and lens wearing experience feedback during use. New data is added to the comprehensive eye dataset. The AI ​​analysis model re-analyzes eye health based on the updated dataset, iteratively optimizing eye health assessment results. Combined with wearing experience feedback, the module adjusts the performance indicators and visual enhancement function parameters of the contact lenses, continuously optimizing eye health management recommendations and lens fitting recommendations to ensure the solution always aligns with the wearer's eye condition and visual needs.

Claims

1. An AI-based eye health management and lens fitting recommendation method, characterized in that, Includes the following steps: S1. Capture the wearer's eye status information through the acquisition device, simultaneously acquire optometry data and eye detection data, integrate various data and complete cleaning preprocessing; S2. Input the preprocessed data into the AI ​​analysis model to identify the state characteristics of blood vessels, tears, and fluid film in the eyeball, analyze the wearer's eye health status, and generate an eye health assessment report; S3. Based on the eye health assessment report and the wearer's eye needs, match eye correction and protection solutions, select suitable contact lens types, and clarify the lens material, oxygen permeability, moisturizing performance, and anti-fatigue performance indicators. S4. Through the linkage between smart wearable devices and special function contact lenses, continuously monitor the wearer's eye physiological data and lens wearing status, generate eye health monitoring data and form health management suggestions; S5 leverages the display function of smart wearable devices combined with special-function contact lenses to achieve visual expansion effects, while continuously collecting eye data to iteratively optimize eye health assessment results and lens fitting recommendations.

2. The AI-based eye health management and lens fitting recommendation method of claim 1, wherein, In step S1, the method of capturing the wearer's eye state information through acquisition devices, simultaneously acquiring refraction data and eye detection data, integrating various data and completing cleaning and preprocessing is as follows: using a mobile phone camera, VR glasses, and the internal projection component of smart glasses to capture the dynamic state information of the wearer's eyes after putting on and taking off contact lenses; acquiring refraction data of refractive power and astigmatism axis through refraction devices, and acquiring eye detection data of corneal curvature and ocular surface state through eye detection devices; performing feature extraction and noise reduction processing on image data, and outlier removal and standardization processing on numerical data, and integrating all processed data to form a comprehensive eye dataset.

3. The AI-based eye health management and lens fitting recommendation method as described in claim 1, characterized in that, In step S2, the preprocessed data is input into the AI ​​analysis model to identify the state characteristics of blood vessels in the eye, tears, and fluid film, analyze the wearer's eye health status, and generate an eye health assessment report. Specifically, the comprehensive eye dataset is input into the AI ​​analysis model trained with eye health sample data. Image recognition algorithms are used to extract the distribution and density characteristics of blood vessels in the eye, the secretion and distribution characteristics of tears, and the integrity and thickness variation characteristics of the fluid film. The AI ​​model combines optometry data and eye detection data to comprehensively analyze the extracted features, determine the eye health status level, identify non-disease-related abnormalities on the ocular surface, and generate an eye health assessment report that includes health status, abnormal status, and eye fit characteristics.

4. The AI-based eye health management and lens fitting recommendation method as described in claim 1, characterized in that, In step S3, based on the eye health assessment report and the wearer's visual needs, the method for matching eye correction and protection solutions, screening suitable contact lens types, and clarifying the lens material, oxygen permeability, moisturizing performance, and anti-fatigue performance indicators is as follows: Based on the eye health status and suitability characteristics in the eye health assessment report, combined with the wearer's daily eye use scenarios, eye use duration, and visual needs, corresponding eye correction and eye health protection solutions are matched; suitable lens types are screened from the dimensions of contact lens material type, oxygen permeability, moisturizing performance, and anti-fatigue performance; and the refractive power, base curve size, and optical zone range of the lens are determined based on optometry data and corneal curvature parameters to form a recommended contact lens fitting solution.

5. The AI-based eye health management and lens fitting recommendation method as described in claim 1, characterized in that, In step S4, the method for continuously monitoring the wearer's ocular physiological data and lens wearing status through the linkage between smart wearable devices and special function contact lenses, generating ocular health monitoring data and forming health management suggestions, is as follows: A linkage is established between VR glasses equipped with sensing components and special function contact lenses integrating biosensors. The biosensors of the contact lenses collect ocular physiological data such as tear secretion and ocular surface humidity. The sensing components of the VR glasses monitor the wearing status data such as the fit of the contact lenses, wearing time, and lens cleanliness. Both types of data are transmitted in real time to an AI analysis model for comprehensive analysis. Based on the data trends, personalized ocular health management suggestions, including eye habits, lens wearing, and eye care, are generated.

6. The AI-based eye health management and lens fitting recommendation method as described in claim 5, characterized in that, The method for generating personalized eye health management suggestions that include eye habits, lens wearing, and eye care is as follows: Dynamic physiological data on tear secretion, tear evaporation rate, and ocular surface humidity are continuously collected by the biosensors of special-function contact lenses and transmitted in real time to VR glasses and synchronized with an AI analysis model. The AI ​​analysis model performs trend analysis on the physiological data. When the data shows that the ocular surface is dry and tear secretion is insufficient, corresponding health management suggestions for eye moisturizing, eye rest, and lens replacement are generated and prompted through the VR glasses.

7. The AI-based eye health management and lens fitting recommendation method as described in claim 1, characterized in that, In step S5, the method of achieving visual enhancement effect by relying on the display function of smart wearable devices and special function contact lenses is as follows: by using the display and imaging function of VR glasses and special function contact lenses with optical adjustment function, the visual image of the real scene is enhanced by pixel enhancement, brightness adjustment and color difference correction to achieve visual enhancement effect; by using the real scene acquisition and image overlay function of VR glasses, virtual information and real scene are integrated and presented to achieve augmented reality effect; at the same time, the optical filter design of the lens combined with the imaging module of VR glasses achieves night vision effect.

8. The AI-based eye health management and lens fitting recommendation method as described in claim 1, characterized in that, In step S5, the method for continuously collecting eye data and iteratively optimizing the eye health assessment results and lens fitting recommendations is as follows: During the wearer's use of contact lenses and smart wearable devices, eye status information, eye physiological data, and lens wearing experience feedback data are continuously collected, and the new data is added to the comprehensive eye dataset; the AI ​​analysis model re-analyzes the eye health status based on the updated dataset, iteratively optimizes the eye health assessment results, and adjusts the performance indicators and visual expansion function parameters of contact lenses in combination with wearing experience feedback, thereby optimizing eye health management suggestions and lens fitting recommendations.

9. An AI-based eye health management and lens fitting recommendation system, used to perform the method described in any one of claims 1 to 8, characterized in that, It includes a data acquisition module, a data preprocessing module, an AI health analysis module, a lens fitting recommendation module, an intelligent monitoring and management module, a vision expansion module, a solution iteration module, and a main control module. The data acquisition module is used to capture eye state information and acquire optometry and eye detection data; the data preprocessing module is used to integrate and clean various types of preprocessed eye data; the AI ​​health analysis module is used to analyze data and generate eye health assessment reports; the lens fitting recommendation module is used to match eye solutions and screen and recommend contact lens types. The intelligent monitoring and management module is used to monitor eye data and generate personalized health management suggestions; The visual enhancement module is used to combine devices to achieve visual enhancement and real-scene overlay effects; the solution iteration module is used to continuously collect data and optimize evaluation results and recommended solutions; the main control module is connected to each module to coordinate the work of each module and realize data interaction.

10. The AI-based eye health management and lens fitting recommendation system as described in claim 9, characterized in that, The data acquisition module includes an ocular image acquisition unit, an optometry data acquisition unit, and an eye detection unit. The ocular image acquisition unit is equipped with a mobile phone camera, VR glasses, and a projection component inside smart glasses to capture the state of the eye under different conditions. The intelligent monitoring and management module includes a biosensing unit, a data monitoring unit, and a health suggestion generation unit. The biosensing unit works in conjunction with the biosensors of special function contact lenses to collect physiological data of the eye. The lens fitting recommendation module includes a solution matching unit, a lens screening unit, and a performance index determination unit. The lens screening unit selects suitable contact lens types based on materials, oxygen permeability, moisturizing performance, and anti-fatigue performance.

Images