Intelligent eyesight monitoring and eye disease prediction glasses

Abstract

The invention discloses a pair of intelligent eyesight monitoring and eye disease prediction glasses, and aims to solve the problems that most of existing eye health monitoring devices are used for regular inspection, cannot monitor and predict the eye health condition in real time and are difficult to take intervention measures in time, the glasses comprise glasses legs and a glasses main body, and the glasses main body is provided with an inner side facing a wearer; the glasses body further comprises a miniature camera, an optical sensor, a master control system and a battery system. The miniature camera is connected with the main control system through an application-specific integrated circuit, and the miniature camera is installed on the inner side of the glasses body facing the eyes of a wearer and used for shooting eye images of the wearer in real time and capturing the pupil size, eyeball movement and sight line direction of the wearer; the optical sensor is connected with the main control system and is used for detecting the ambient light intensity and color and adjusting the brightness of the lenses of the glasses main body; the eye health condition of the teenagers can be monitored and predicted in real time, and accurate health data support is provided for parents, teachers and ophthalmologists.

Description

Technical Field

[0001] The present application relates to the field of glasses technology, and in particular to smart glasses. Background Art

[0002] With the widespread adoption and increasing use of electronic products, such as smartphones, tablets, video game consoles, and various learning devices, teenagers' daily lives are filled with extensive screen time. While this trend has brought unprecedented convenience to education, entertainment, and social interaction, it also poses a serious challenge to teenagers' eye health. Prolonged screen time, combined with improper eye posture, a lack of outdoor activities, and increasing academic pressure, has led to a year-on-year increase in the incidence of vision problems such as myopia and astigmatism, with a trend of younger children becoming the onset.

[0003] Existing methods for monitoring eye health primarily rely on regular eye exams, such as semester-long or annual vision tests, which present significant limitations. For one thing, they fail to capture subtle changes in vision, making it difficult to detect early signs of vision loss. Furthermore, even if vision problems are detected, the long time interval between visits often means the optimal time for intervention has been missed, making it difficult to effectively curb vision deterioration. Furthermore, traditional exams rely on the patient's initiative and self-discipline. For adolescents, busy studies or a lack of focus can lead to neglecting regular exams, further exacerbating the challenges of vision protection.

[0004] In view of this, the market urgently needs an innovative solution that can realize real-time monitoring and prediction of adolescents' eye health, so as to promptly detect trends in vision changes and provide accurate health data support to parents, teachers and ophthalmologists, so as to take timely and effective intervention measures to protect adolescents' vision health. Summary of the Invention

[0005] The present application provides a kind of intelligent vision monitoring and eye disease prediction glasses, aiming to solve the problems pointed out in the above background technology.

[0006] In a first aspect, a pair of smart vision monitoring and eye disease prediction glasses are provided, the glasses comprising temples and a glasses body, the glasses body having an inner side facing the wearer, and the glasses body further comprising:

[0007] a miniature camera connected to the main control system via a dedicated integrated circuit, mounted on the inner side of the glasses body facing the wearer's eyes, for capturing images of the wearer's eyes in real time, and capturing the wearer's pupil size, eye movement, and line of sight;

[0008] Optical sensor, connected to the main control system, used to detect the ambient light intensity and color and adjust the brightness of the main lens of the glasses;

[0009] a main control system connected to the micro camera and the optical sensor, configured to process image data collected by the micro camera in real time, calculate the wearer's visual acuity and pupil size through an image processing algorithm, analyze the image data in real time by combining the image processing algorithm with a machine learning model, and infer the wearer's visual acuity under different lighting conditions, distances, and focal lengths, thereby monitoring visual acuity fluctuations. By analyzing changes in the wearer's pupils under different lighting conditions, the system determines whether the wearer's pupil response is normal, thereby predicting eye diseases;

[0010] The battery system is used to power the micro camera, sensors and main control system.

[0011] The above solution may optionally further include:

[0012] A three-axis accelerometer and gyroscope monitor the movement of the head and glasses to help determine the wearer's gaze direction and eye status.

[0013] Infrared sensors are used to capture pupil reactions and eye movements, assisting miniature cameras in vision monitoring and eye disease prediction.

[0014] In the above solution, optionally, the micro camera is connected to a dedicated integrated circuit via a camera module, the camera module is located in the middle of the glasses body, and has left and right lenses connected via a basic circuit, the left and right lenses are respectively mounted on the left and right lenses of the glasses body, and capture the wearer's left and right eyes in real time;

[0015] The micro camera supports intelligent adjustment to ensure alignment with the wearer's eyes.

[0016] In the above solution, optionally, the micro camera supports infrared light fill to ensure that the image can be clearly captured under different light conditions;

[0017] The miniature camera adopts a wide-angle lens to ensure that the full field of view of the wearer's eyes is covered.

[0018] The above solution may optionally further include: a communication module, which supports Bluetooth or WIFI and is used for wireless data transmission with a smartphone application to transmit monitoring data in real time.

[0019] In the above solution, optionally, the micro camera and the sensor are connected to the main control chip via an I2C or SPI interface.

[0020] In the above solution, optionally, the micro camera, optical sensor, main control system and battery system are tightly integrated through a PCB.

[0021] In the above solution, optionally, the battery system uses a high-energy-density lithium polymer battery and is equipped with an intelligent power management chip and a USB-C interface. The intelligent power management chip is used to manage battery charging and discharging, and the USB-C interface is a battery charging interface.

[0022] The battery system supports a fast charging function.

[0023] In the above solution, optionally, the micro camera and sensor are low-power models, and energy consumption is reduced through software optimization.

[0024] In the above solution, optionally, a flexible solar panel is integrated on the surface of the frame of the glasses body to utilize solar energy for auxiliary charging.

[0025] Compared with the prior art, this application has at least the following beneficial effects:

[0026] Real-time monitoring and prediction of eye health status can improve the possibility of early detection and intervention of adolescent eye diseases.

[0027] Providing scientific eye use advice and training methods can help prevent and slow down the occurrence of eye diseases.

[0028] Through the high-precision data provided by the micro camera, smart glasses can not only provide real-time eye health monitoring, but also provide users with personalized health reports.

[0029] Eye protection mode effectively reduces eye fatigue and protects eye health. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A schematic diagram of the outer structure of intelligent vision monitoring and eye disease prediction glasses provided in one embodiment of the present application.

[0031] Figure 2 A schematic diagram of the inner structure of intelligent vision monitoring and eye disease prediction glasses provided in one embodiment of the present application.

[0032] Figure 3 A schematic diagram of data transmission between a pair of smart vision monitoring and eye disease prediction glasses and a mobile phone provided in one embodiment of the present application.

[0033] Among them, 1. Micro camera; 2. Main control chip; 3. Battery module; 4. Three-axis accelerometer and gyroscope; 5. Infrared sensor; 6. Optical sensor. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solutions and advantages of this application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0035] In the description of the present application, unless otherwise specified, expressions such as “include”, “comprising”, “having”, etc. also mean “not limited to” (certain units, components, materials, steps, etc.).

[0036] In one embodiment, Figure 1 and Figure 2 As shown, there is provided a pair of smart vision monitoring and eye disease prediction glasses, the glasses comprising temples and a glasses body, the glasses body having an inner side facing the wearer, and the glasses body further comprising:

[0037] A miniature camera, connected to the main control system via a dedicated integrated circuit, is installed on the inside of the glasses, facing the wearer's eyes, and is used to capture real-time images of the wearer's eyes, including pupil size, eye movement, and gaze direction;

[0038] Optical sensor, connected to the main control system, used to detect the ambient light intensity and color and adjust the brightness of the main lens of the glasses;

[0039] The main control system is connected to the micro camera and optical sensor, and is used to process the image data collected by the micro camera in real time. It calculates the wearer's visual acuity and pupil size through image processing algorithms. It combines image processing algorithms with machine learning models to analyze image data in real time, inferring the wearer's visual performance under different lighting conditions, distances, and focal lengths, thereby monitoring vision fluctuations. By analyzing the changes in the wearer's pupils under different lighting conditions, it determines whether the wearer's pupil response is normal and thus predicts eye diseases;

[0040] The battery system is used to power the micro camera, sensors and main control system.

[0041] In this embodiment, Figure 1 and Figure 2 This is just an example, and the size of the specific micro camera is not limited. In actual application, the size of the micro camera will be determined based on line of sight and aesthetic factors. In this embodiment, the smart glasses have a built-in micro camera and sensor, which can capture the wearer's eye image in real time and calculate the wearer's vision status, including vision value, pupil size, etc. through image processing algorithms. A micro camera with a resolution of 1280x800, such as OmniVision OV9281, with a frame rate of 60fps is used. The micro camera is installed at the front end of the glasses (i.e., close to the inside of the lens) and can directly face the wearer's eyes. This position ensures that the micro camera can obtain the best viewing angle of the wearer's eyes. This enables the camera to accurately capture key data such as pupil size, eye movement, and line of sight direction, ensuring high accuracy and stability of the data. By taking real-time images of the wearer's eyes with a micro camera, subtle changes in vision value can be monitored.

[0042] Combining image processing algorithms and machine learning models, smart glasses can analyze these images in real time, inferring the wearer's vision performance under varying lighting conditions, distances, and focal lengths, thereby monitoring vision fluctuations. Pupil size is a key indicator of light intensity fluctuations and eye health. A miniature camera can capture changes in the wearer's pupils under different lighting conditions. By analyzing this data, it can be determined whether the wearer's pupil response is normal, and thus predict possible eye conditions such as photosensitivity, myopia, and astigmatism.

[0043] Miniature cameras, with their low power consumption and compact size, enable high-definition image capture within a very small footprint. By accumulating long-term data, smart glasses can use machine learning algorithms to analyze trends in visual acuity and pupil changes. For example, frequent fluctuations in vision may indicate impending myopia or visual fatigue; abnormal pupil reactions may indicate photosensitivity or astigmatism. Through these analyses, smart glasses can predict the onset of eye diseases and recommend appropriate interventions for the wearer, such as increasing outdoor time or reducing electronic device use.

[0044] The lens uses a wide-angle lens to ensure that it can cover the wearer's full field of view. The camera is connected to the main control system of the smart glasses through a dedicated integrated circuit, using efficient data transmission protocols (such as I2C or SPI) to ensure efficient transmission of real-time data.

[0045] The micro-camera module is connected to the smart glasses via an application-specific integrated circuit (ASIC). Located in the center of the glasses, the camera module features two lenses and basic circuitry. The smart glasses automatically adjust left and right based on the distance between the teenager's eyes to fit the wearer's facial dimensions. The micro-camera is cleverly embedded within the frame, maintaining the wearer's field of view and aesthetically pleasing appearance.

[0046] Provides a real-time video stream that captures images of the wearer's eyes and monitors pupil size and eye movement.

[0047] Supports infrared light fill function to ensure clear image capture under different lighting conditions.

[0048] The tiny camera is mounted on the inside of the smart glasses' frame, close to the lenses, and can intelligently adjust and ensure alignment with the wearer's eyes.

[0049] Integrate highly sensitive optical sensors, such as the AMS TCS3408, to monitor ambient light intensity and color, adjust lens brightness, and protect eyes.

[0050] By accumulating data over time, smart glasses can use machine learning algorithms to analyze trends in vision and pupil changes. For example, frequent fluctuations in vision may indicate impending myopia or visual fatigue; abnormal pupil reactions may indicate photosensitivity or astigmatism. Through these analyses, smart glasses can predict the onset of eye diseases and recommend appropriate interventions for the wearer, such as increasing outdoor time or reducing electronic device use.

[0051] When early symptoms of myopia or other eye diseases are detected, smart glasses will alert the wearer through sound, vibration or display, and provide scientific eye use advice and training methods to help slow down or prevent the occurrence of eye diseases.

[0052] In one embodiment, reference Figure 1 ,also includes: three-axis accelerometer, gyroscope and infrared sensor.

[0053] A three-axis accelerometer and gyroscope monitor the movement of the head and glasses to help determine the wearer's gaze direction and eye status.

[0054] Infrared sensors are used to capture pupil reactions and eye movements, assisting miniature cameras in vision monitoring and eye disease prediction.

[0055] In this embodiment, a three-axis accelerometer and gyroscope (such as the InvenSense MPU-6050) are used to monitor head and eye movement, helping to determine the wearer's gaze direction and eye activity. Infrared sensors, used to capture pupil reactions and eye movements, assist the miniature camera in accurately monitoring vision and predicting eye diseases.

[0056] In one embodiment, the miniature camera is connected to a dedicated integrated circuit via a camera module. The camera module is located in the middle of the glasses body and has two left and right lenses connected via a basic circuit. The left and right lenses are respectively mounted on the left and right lenses of the glasses body to capture the wearer's left and right eyes in real time.

[0057] The tiny camera supports intelligent adjustment to ensure alignment with the wearer's eyes.

[0058] In one embodiment, the micro camera supports infrared light supplementation to ensure clear image capture under different light conditions;

[0059] The miniature camera uses a wide-angle lens to ensure that the wearer's full field of view is covered.

[0060] refer to Figure 3 In one embodiment, it further includes: a communication module, the communication module supports Bluetooth or WIFI, and is used for wireless data transmission with a smartphone application to transmit monitoring data in real time.

[0061] Smart glasses connect to a smartphone app via Bluetooth or Wi-Fi, transmitting real-time monitoring data. Users can access vision monitoring results, eye disease prediction information, and health advice through the app. Parents and doctors can also remotely view and manage their children's eye health data.

[0062] The main control chip can also load advanced image processing algorithms and machine learning models. These algorithms can process image data collected by the micro camera in real time, quickly extract key features such as visual acuity and pupil size, and combine historical data to form health status predictions.

[0063] The smart glasses are equipped with an eye protection mode. When it detects that the wearer is using their eyes at close range for a long time, it will actively adjust the brightness of the lenses or prompt the wearer to take a break to protect eye health.

[0064] In one embodiment, the micro camera and the sensor are connected to the main control chip via an I2C or SPI interface.

[0065] The data from the micro camera and sensor is connected to the main control chip (such as Nordic nRF52840) via the I2C or SPI interface, achieving high-speed and stable data transmission. The main control chip transmits wireless data with the smartphone application via Bluetooth or Wi-Fi module, uploading the monitoring data in real time.

[0066] In one embodiment, the micro camera, optical sensor, main control system and battery system are tightly integrated via a PCB.

[0067] In this embodiment, all components of the smart vision monitoring and eye disease prediction glasses are tightly integrated through a PCB (printed circuit board), ensuring a compact circuit design and reducing the volume to meet the wearing requirements of the smart glasses.

[0068] In one embodiment, the battery system uses a high-energy-density lithium polymer battery and is equipped with an intelligent power management chip and a USB-C interface. The intelligent power management chip is used to manage battery charging and discharging, and the USB-C interface is a battery charging interface.

[0069] The battery system supports fast charging function.

[0070] In this embodiment, the built-in battery uses a high-energy-density lithium polymer battery (e.g., 500mAh), which can provide long-term battery life and ensure the stable operation of the smart glasses during daily use. This embodiment equips the smart vision monitoring and eye disease prediction glasses with an intelligent power management chip (e.g., Texas Instruments BQ25120) to achieve efficient battery charging and discharging management, extending battery life. It supports fast charging function and charges via the USB-C port, ensuring that the battery power is restored in a short time.

[0071] In one embodiment, the micro camera and sensor are low-power models, and power consumption is reduced through software optimization.

[0072] In one embodiment, a flexible solar panel is integrated on the surface of the frame of the glasses body to utilize solar energy for auxiliary charging.

[0073] In this embodiment, to ensure the long battery life of the smart vision monitoring and eye disease prediction glasses, low-power micro-cameras and sensors are used, and software optimization is implemented to minimize device energy consumption. When not monitoring, the smart vision monitoring and eye disease prediction glasses enter a low-power standby mode to extend battery life. Flexible solar panels can be integrated into the frame surface to utilize solar energy for auxiliary charging, further enhancing battery life.

[0074] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A pair of smart vision monitoring and eye disease prediction glasses, characterized in that: The glasses include temples and a glasses body, wherein the glasses body has an inner side facing the wearer, and the glasses body further includes: A miniature camera connected to the main control system via a dedicated integrated circuit, mounted on the inner side of the glasses body facing the wearer's eyes, and used to capture the wearer's eye image in real time, and to capture the wearer's pupil size, eye movement, and sight direction; Optical sensor, connected to the main control system, used to detect the ambient light intensity and color and adjust the brightness of the main lens of the glasses; A main control system connected to the micro camera and the optical sensor, used to process the image data collected by the micro camera in real time, calculate the wearer's vision value and pupil size through an image processing algorithm, analyze the image data in real time in combination with the image processing algorithm and the machine learning model, and calculate the wearer's vision performance under different lighting, distances and focal lengths, so as to monitor the fluctuation of vision, and judge whether the wearer's pupil reaction is normal by analyzing the changes of the wearer's pupil under different lighting conditions, thereby predicting eye diseases; The battery system is used to power the micro camera, sensors and main control system.

2. The intelligent vision monitoring and eye disease prediction glasses according to claim 1, characterized in that: Also includes: Three-axis accelerometer and gyroscope to monitor the movement of the head and glasses, and help determine the wearer's line of sight and eye status; Infrared sensors are used to capture pupil reactions and eye movements, assisting miniature cameras in vision monitoring and eye disease prediction.

3. The intelligent vision monitoring and eye disease prediction glasses according to claim 1, characterized in that: The micro camera is connected to a dedicated integrated circuit via a camera module, the camera module is located in the middle of the glasses body, and has two left and right lenses connected via a basic circuit, the left and right lenses are respectively mounted on the left lens and the right lens of the glasses body, and take real-time photos of the left eye and the right eye of the wearer; The micro camera supports intelligent adjustment to ensure alignment with the wearer's eyes.

4. The intelligent vision monitoring and eye disease prediction glasses according to claim 1, characterized in that: The micro camera supports infrared light supplement to ensure clear image capture under different light conditions; The miniature camera adopts a wide-angle lens to ensure that the full field of view of the wearer's eyes is covered.

5. The intelligent vision monitoring and eye disease prediction glasses according to claim 1, characterized in that: Also includes: Communication module, which supports Bluetooth or WIFI and is used for wireless data transmission with smartphone applications to transmit monitoring data in real time.

6. The intelligent vision monitoring and eye disease prediction glasses according to claim 1, characterized in that: The micro camera and the sensor are connected to the main control chip via an I2C or SPI interface.

7. The intelligent vision monitoring and eye disease prediction glasses according to claim 1, characterized in that: The micro camera, optical sensor, main control system and battery system are tightly integrated through a PCB.

8. The intelligent vision monitoring and eye disease prediction glasses according to claim 1, characterized in that: The battery system uses a high-energy-density lithium polymer battery, and is equipped with an intelligent power management chip and a USB-C interface. The intelligent power management chip is used to manage battery charging and discharging, and the USB-C interface is a battery charging interface. The battery system supports a fast charging function.

9. The intelligent vision monitoring and eye disease prediction glasses according to claim 1, characterized in that: Low-power models are selected for micro cameras and sensors, and energy consumption is reduced through software optimization.

10. The intelligent vision monitoring and eye disease prediction glasses according to claim 1, characterized in that: The frame surface of the glasses is integrated with a flexible solar panel to assist in charging using solar energy.

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