AI intelligent glasses machine capable of correcting vision and control method

Abstract

The invention discloses an AI intelligent glasses machine capable of correcting vision and a control method, and relates to the technical field of wearable device.The AI intelligent glasses machine comprises a left glasses leg support, a right glasses leg support, a lens frame and a nose bridge support, and AI lenses are installed on the lens frame; a light and shadow sensing device and a distance sensor are arranged above the nose bridge support, the light and shadow sensing device is used for detecting the brightness of light in front of the eyes of a wearer, image information of the eyes and a real scene image, and the distance sensor is used for detecting the eye using distance of the wearer; a regulation and control module, a data analyzing and processing device and a photographing control module are arranged on one side of the left glasses leg support, capacitance starting switches are arranged on one side of the right glasses leg support and the inner side of the nose bridge support, and a brightness adjusting button, a parameter collecting module and a safety locking key are further arranged on one side of the right glasses leg support; according to the method, the eye using environment and the eye using data of the wearer can be intelligently analyzed, the eye using environment is adjusted, and bad eye using habits are corrected, so that a relatively good vision correction effect is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of wearable devices, and in particular to an AI smart glasses machine capable of correcting vision and a control method thereof. Background Art

[0002] With the advancement of science and technology, AI technology has been widely used in the field of applied medicine and people's daily health care, especially in ophthalmology. Due to the popularity of mobile application devices, people have increased the frequency of using mobile application devices, reduced the effective time for outdoor sports and long-distance eye use, and caused a large number of people to have poor eyesight. Current myopia glasses only make fixed changes to vision from an optical perspective to ensure that the wearer can see clearly, but lack a comprehensive analysis of the light, brightness, intraocular pressure, eye distance, eye time, etc. of the eye environment and effective improvement of vision. As a result, the wearer is unable to self-adjust and adapt to the eye environment according to the correct eye standards, and it is difficult to achieve effective correction and vision training. In addition, it is inconvenient to charge and has poor waterproofness. Summary of the invention

[0003] In view of this, the present application provides an AI smart glasses machine and control method that can correct vision, which solves the problem that traditional myopia glasses only make fixed changes to vision from an optical perspective to ensure that the wearer can see clearly, but do not conduct a comprehensive analysis of the light, brightness, intraocular pressure, eye distance, eye time, etc. of the eye environment and effectively improve vision. As a result, the wearer cannot self-adjust and adapt the eye environment according to the correct eye standards, and it is difficult to achieve effective correction and vision training. In addition, the equipment is inconvenient to charge and has poor waterproofness.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] An AI smart glasses machine capable of correcting vision and a control method thereof, comprising: a left temple support, a right temple support, a lens frame and a nose bridge support, wherein an AI lens is mounted on the lens frame, and the AI ​​lens can adjust the focal length of eye imaging from an optical angle, so that the wearer can improve vision problems and see objects clearly, and the AI ​​lens can also process data of real-life images at a distance and present them to the wearer, so that the wearer can watch real-life objects in a dynamic distant view in real time. The lens frame is made of titanium-magnesium alloy material, and the AI ​​lens is implemented using liquid crystal on silicon (LCoS) display technology, including an LCoS microdisplay module.

[0006] A light and shadow sensor and a distance sensor are set above the nose bridge bracket. The light and shadow sensor is used to detect the brightness of the light in front of the wearer's eyes, obtain eye image information and real-scene image information. The light and shadow sensor includes a brightness sensor and a micro-camera assembly. The micro-camera assembly includes two sets of micro-cameras. One set of micro-cameras is installed in the middle of the lens frame to collect the real-scene image in front of the user's eyes, and the other set of micro-cameras is installed on the lens frame near the middle of the AI ​​lens to capture the image information of the user's eyes. The distance sensor is installed in the middle of the lens frame. The distance sensor is used to detect the wearer's eye distance;

[0007] The left temple bracket and the right temple bracket are provided with a plurality of mounting slots, and each module is mounted in a corresponding slot. A control module, a data analysis and processing device and a photographing control module are provided on one side of the left temple bracket. The light and shadow sensing device and the distance sensor are electrically connected to the data analysis and processing device. The data analysis and processing device includes a processor. The data analysis and processing device is used to compare and analyze the acquired environmental parameters, the user's eye parameters and the corresponding preset thresholds, and judge whether the current eye environment is in the optimal eye environment according to the comparison and analysis results. If it is not the optimal eye environment, the difference between the current environmental parameters and the corresponding preset thresholds is used as the adjustment parameter, and the adjustment parameter, the eye reminder signal and the massage control signal are output to the control module. The control module is also used to process the captured distant real scene image in real time and convert it into a virtual image to be projected onto the AI ​​lens. The control module and the photographing control module are both electrically connected to the data analysis and processing device. The control module is used to receive the user's parameter configuration information, the adjustment parameter, the eye reminder signal and the massage control signal, and perform intelligent parameter adjustment, eye reminder and control of the massage module based on the received information. The photographing control module is used to control the light and shadow device to capture the wearer's eye image information according to the control signal sent by the data analysis and processing device. The photographing control module includes a relay module, and the relay module is arranged on the power supply circuit of another group of miniature cameras;

[0008] A capacitor starting switch is embedded on the outer side of the end of the right temple bracket and the inner side of the nose bridge bracket. The output end of the capacitor starting switch is electrically connected to the input end of the data analysis and processing device. A brightness adjustment button, a parameter acquisition module and a safety lock button are also provided on one side of the right temple bracket. The brightness adjustment button is used to obtain the brightness parameter configuration information input by the user and send it to the control module. The parameter acquisition module and the safety lock button are electrically connected to the data analysis and processing device. The parameter acquisition module is used to collect the wearer's head running trajectory information. The safety lock button is a lock button, and the lock button is used to obtain the adjustment parameter lock information input by the user.

[0009] Furthermore, a first LED fill light is arranged at the side where the left temple bracket is connected to the lens frame and close to the eye, and a second LED fill light is arranged at the side where the right temple bracket is connected to the lens frame and close to the eye. The first LED fill light and the second LED fill light are electrically connected to the control module, and the control module controls the first LED fill light and the second LED fill light to perform light supplement and color temperature adjustment according to the received parameter information.

[0010] Furthermore, massage modules are provided on the inner sides of the front ends of the left temple bracket and the right temple bracket, and the massage modules include a micro motor, a gear, a rack and a massage head. The rotating shaft of the micro motor is connected to the central axis of the gear, the rack is meshed with the gear, and the side of the rack is connected to the massage head through a pressing mechanism. The micro motor drives the gear to rotate, thereby driving the rack to slide horizontally in the groove, and the rack drives the massage head to move horizontally. The massage head includes a flexible gasket, and a micro vibrator is provided in the interlayer of the flexible gasket. The micro motor and the micro vibrator are both electrically connected to the control module.

[0011] Furthermore, the control module includes a timing module, a main controller, a voice reminder module and a training button. The timing module is electrically connected to the main controller. The timing module is used to record the user's eye usage time and transmit the eye usage time information to the main controller. The main controller is electrically connected to the voice reminder module. The main controller is used to judge the eye usage time. When the eye usage time exceeds the preset time, the voice reminder module is controlled to provide eye reminder. The main controller is also used to receive the electrical signal input by the brightness adjustment button, the adjustment and control signal input by the data analysis and processing device, and the output light control signal and the control signal of the massage module. The training button is used to obtain the eye training signal input by the user. The training button is electrically connected to the main controller. The main controller transmits the received eye training signal to the data analysis and processing device, and controls the AI ​​lenses to perform eye training through the data analysis and processing device. When the user wants to perform eye training, press the training button to trigger the eye training function.

[0012] Furthermore, a wireless power supply module is also provided on one side of the left temple support, which is embedded and arranged on the outer side of the end of the left temple support near the brightness adjustment button. A power reminder light is installed at the bottom of the lens frame. The wireless power supply module includes a battery, a battery management chip and a wireless charging module. The battery and the power reminder light are electrically connected to the battery management chip. The battery management chip is electrically connected to the wireless charging module. When the battery management chip detects that the battery voltage is lower than the threshold voltage, the power reminder light is controlled to flash at a certain frequency for reminder. The wireless charging module is composed of a receiving coil, a rectifier bridge, a filter capacitor, and a charging circuit composed of a protection resistor and a voltage regulator diode. The receiving coil is used to receive the wireless energy signal emitted by the wireless charger. The alternating voltage received by the receiving coil is converted into a DC voltage through a rectifier bridge, and then filtered by a filter capacitor connected in parallel to the DC end of the rectifier bridge. The charging circuit is connected in parallel between the two ends of the filter capacitor. The filtered voltage signal charges the battery through the existing charging circuit.

[0013] The wearer's eye distance reflects his eye habits and posture. When the wearer is studying, working or traveling outdoors, the eye distance for studying and reading is less than 30CM, and the distance parameters are passed to the data analysis and processing device. After analysis, the data analysis and processing device issues a warning to the wearer to adjust the distance, starts a sound reminder, and the AI ​​lens window reminds; at the same time, after the light and shadow sensor obtains parameters such as brightness, it passes the current actual eye brightness to the data analysis and processing device. After comparative analysis, the light brightness adjustment is started according to the comparative analysis results to avoid the wearer using the eyes in a dim environment. These functional module designs can prompt the wearer to correct their eye habits and postures, further prevent correction errors, and improve the preventive correction effect.

[0014] The medical parameter acquisition sensors around the frame detect the wearer's intraocular pressure and duration of eye use over a period of time. By comparing the medical parameters of eye use, the wearer is reminded to take a break and the eye massage device is activated to provide eye care massage.

[0015] AI lenses can be used as display devices to display the fine vision training, red light flashing training, and grating training function modules provided by the glasses of this application to train the myopia, amblyopia and other vision of adolescents. By adjusting the light source, illumination, cycle, frequency, wavelength and other properties, the retina and vision of the eyes are optimized in different lighting environments to prevent and correct amblyopia and myopia in adolescents and children, so that the glasses of this application can achieve the functions of intelligent clear vision training instruments.

[0016] Adjustment and matching based on the eye environment and eye vision pathology parameters include: obtaining the basic environmental parameters of the light brightness and distance in the wearer's current use environment, judging whether the wearer's basic environment meets the optimal environment for vision pathology. If it is not the optimal environment, the optimal environmental parameters are compared and analyzed, and then the basic use environment is automatically adjusted. If it is the optimal environment, the use time and distance parameters are judged, and based on the pathology parameters such as the tested intraocular pressure, it is judged whether the eyes are fatigued. If fatigued, the eye massage mechanism is activated to relieve optic nerve pressure and achieve the goal of protecting the eyes. The optimal use parameters after comparison, analysis and adjustment are recorded and stored, and the use environment is adjusted.

[0017] The correction time is calculated based on comparative analysis of wearing time, including: obtaining eye environment parameters for N days, analyzing and processing data, and marking them respectively; continuing to calculate the marked big data through AI to obtain the environmental parameters and duration of scientific eye use, and at the same time establishing an AI big data statistical model of visual tolerance and parameter environment. According to the statistical model, set thresholds that are suitable for the wearer's use and establish an actual correction method.

[0018] The present application also provides a control method for an AI smart glasses machine capable of correcting vision, which is applied to the above-mentioned AI smart glasses machine capable of correcting vision, comprising:

[0019] Acquire trigger signals of each capacitor start switch, and when the capacitor start switches on the outer side of the right temple support and the inner side of the nose bridge support both output trigger signals, activate the system and perform parameter initialization;

[0020] Obtaining eye image information and sending it to a data analysis and processing device, the data analysis and processing device is used to obtain eye medical parameters of the wearer according to the eye image information, and output eye use thresholds based on the eye medical parameters and matching parameters in an expert database, the eye use thresholds including brightness thresholds, distance thresholds, and massage trigger thresholds;

[0021] Obtaining the brightness of the light in front of the wearer's eyes and the wearer's eye distance, and sending the acquired information to the data analysis and processing device, which automatically compares the wearer's current eye brightness and distance with the corresponding thresholds or the user's parameter configuration information, calculates the brightness adjustment range parameters, and outputs an eye distance reminder control signal and an ambient light intensity reminder control signal to the control module, which performs eye reminders and parameter adjustments;

[0022] The wearer's intraocular pressure parameters are obtained according to a preset collection cycle. When the detected intraocular pressure parameters exceed the standard threshold, the control and regulation module reminds the wearer to take a rest and starts the eye massage device to perform eye care massage;

[0023] The AI ​​lens can obtain long-distance real-scene images, and send the real-scene image information to the data analysis and processing device. The data analysis and processing device processes the real-scene image information in real time, converts it into virtual information and projects it onto the AI ​​lens;

[0024] When the training button signal is obtained, the eye training mode is started, and the AI ​​lens is controlled to display the training image according to the training parameters.

[0025] Furthermore, the wearer's current eye brightness and distance are automatically compared with the corresponding thresholds, the brightness adjustment range parameters are calculated, and the eye distance reminder control signal and the ambient light intensity reminder control signal are output to the control module, including: comparing the wearer's current eye brightness information with the set brightness threshold range. If the current brightness exceeds the range, it is marked as insufficient brightness or too strong brightness. The glasses automatically start the control module to perform brightness fill light operation or remind that the brightness is too strong; determine whether the eye distance is greater than 30cm. When it is less than 30cm, the glasses will activate the reminder function to remind eye behavior. The reminder methods include voice reminders, lens displays and flashing signal lights.

[0026] Furthermore, the real-scene image information is processed in real time and converted into a virtual image to be projected onto the AI ​​lens, including: calculating the blur of the real-scene imaging according to an image blur calculation method, synchronizing the imaging focal length of the real-scene and virtual information in real time based on the blur, and overlapping the real-scene and virtual images, so that the wearer can clearly identify the real scene.

[0027] It can be seen from the above technical solution that the advantages of the present invention are:

[0028] In this application, the system can intelligently analyze the wearer's eye environment and eye data, and adjust the eye environment and correct bad eye habits to achieve better vision correction effects. The use of wireless charging makes charging more convenient and the waterproof effect is better. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application.

[0030] Figure 1 It is a schematic diagram of the three-dimensional structure of this application.

[0031] Figure 2 This is another three-dimensional structural schematic diagram of the present application.

[0032] Figure 3 This is a schematic diagram of the structure of the massage module of this application.

[0033] Figure 4This is a schematic diagram of the structure of the massage head of this application.

[0034] Reference numerals:

[0035] Left temple bracket-1, control module-11, data analysis and processing device-12, photo control module-13, right temple bracket-2, brightness adjustment button-21, parameter acquisition module-22, safety lock button-23, lens frame-3, nose bridge bracket-4, gear-5, rack-6, massage head-7, pressing mechanism-8, groove-9. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the implementation modes and the accompanying drawings. Here, the illustrative implementation modes and descriptions of the present application are used to explain the present application, but are not intended to limit the present application.

[0037] refer to Figures 1 to 4 The present embodiment provides an AI smart glasses machine capable of correcting vision and a control method. The glasses machine can intelligently analyze the wearer's eye environment and eye data, and adjust the eye environment and correct bad eye habits to achieve a better vision correction effect. Specifically, the glasses machine comprises: a left temple support 1, a right temple support 2, a lens frame 3 and a nose support 4. The lens frame 3 is provided with an AI lens. A light and shadow sensing device and a distance sensor are arranged above the nose support 4. The light and shadow sensing device is used to detect the brightness of the light in front of the wearer's eyes, obtain the image information of the eyes and the real-scene image information. The distance sensor is used to detect the wearer's eye distance. The light and shadow sensing device comprises a micro camera and a brightness sensor. The light and shadow sensing device comprises a brightness sensor and a micro camera assembly. The micro camera assembly comprises two groups of micro cameras. One group of micro cameras is installed in the middle of the lens frame for collecting the real-scene image in front of the user's eyes. One group of micro cameras is installed on the lens frame near the middle of the AI ​​lens for capturing the image information of the user's eyes. The distance sensor adopts a laser distance sensor, and the distance sensor is installed in the middle of the lens frame. The lens frame 3 is made of titanium-magnesium alloy material, and the AI ​​lens is implemented using silicon-based liquid crystal (LCoS) display technology, including an LCoS micro-display module.

[0038] The left temple bracket 1 and the right temple bracket 2 are provided with a plurality of mounting slots, and each module is installed in the corresponding slot. Specifically, a control module 11, a data analysis and processing device 12 and a photographing control module 13 are provided on one side of the left temple bracket 1. The control module 11 and the photographing control module 13 are electrically connected to the data analysis and processing device 12, and the light and shadow sensing device and the distance sensor are electrically connected to the data analysis and processing device 12. The data analysis and processing device 12 includes a processor. The data analysis and processing device 12 is used to compare and analyze the acquired environmental parameters and user eye parameters with the corresponding preset thresholds, and judge whether the current eye environment is in the optimal eye environment according to the comparison and analysis results. If it is not the optimal eye environment, the difference between the current environmental parameters and the corresponding preset thresholds is calculated. As adjustment parameters, and outputting the adjustment parameters, eye reminder signals and massage control signals to the control module 11, it is also used to process the captured distant real-life images in real time and convert them into virtual images to be projected onto the AI ​​lenses. The control module 11 and the photo control module 13 are both electrically connected to the data analysis and processing device 12. The control module 11 is used to receive the user's parameter configuration information, adjustment parameters, eye reminder signals and massage control signals, and perform intelligent parameter adjustment, eye reminder and massage module control based on the received information. The photo control module 13 is used to control the light and shadow device to capture the wearer's eye image information according to the control signal sent by the data analysis and processing device. The photo control module includes a relay module, which is arranged on the power supply circuit of the other group of miniature cameras. Capacitor start switches are embedded on the outer side of the end of the right temple bracket 2 and the inner side of the nose bridge bracket 4. A brightness adjustment button 21, a parameter acquisition module 22 and a safety lock button 23 are also provided on one side of the right temple bracket 2. The brightness adjustment button 21 is used to obtain the brightness parameter configuration information input by the user and send it to the control module. The parameter acquisition module 22 and the safety lock button 23 are electrically connected to the data analysis and processing device 12. The parameter acquisition module 22 includes a six-axis sensor. The six-axis sensor is used to detect the wearer's head movement trajectory information and obtain the user's field of view image change information based on the collected head trajectory information. The safety lock button 23 is used to obtain the adjustment parameter locking information input by the user. When the button is pressed, the user can no longer manually adjust the parameters, which can avoid accidentally touching the adjustment button during use. The lock can be released by pressing the button again.

[0039] Capacitor starting switches are provided on one side of the right temple support 2 and the inner side of the nose bridge support 4. The output end of the capacitor starting switch is electrically connected to the input end of the data analysis and processing device 12. The AI ​​smart glasses machine is started only when all the capacitor starting switches are triggered. When wearing glasses, the human body contact area includes the temples and nose pads. In this embodiment, in order to solve the problem that the AI ​​smart glasses machine is easily accidentally turned on during use, dual sensing switches are set at the temples and the nose bridge. It is only started when the dual sensing switches both detect human body contact.

[0040] AI lenses can adjust the focal length of eye imaging from an optical perspective, so that the wearer can improve vision problems and see real objects clearly; AI lenses also provide real-life images, and after the real-life images at a distance are processed by the data analysis and processing center, they are presented to the wearer, so that the wearer can watch dynamic real-life objects in real time. In another embodiment, a transparent heating film is provided on the AI ​​lens, and the working state of the heating film can be controlled to prevent the lens from fogging at low temperatures in cold weather. The heating film is electrically connected to the main controller.

[0041] The data analysis and processing device 12 compares and analyzes the acquired environmental parameters and user eye parameters with the corresponding preset thresholds, and then outputs the corresponding adjustment parameters and reminder control signals to the control module 11. The control module 11 is composed of a timing module, a main controller, a voice reminder module and a training button. The timing module is electrically connected to the main controller. The timing module is used to record the user's eye use time and transmit the eye use time information to the main controller. The timing module includes a timer chip. The main controller is electrically connected to the voice reminder module. The main controller is used to judge the eye use time. When the eye use time exceeds the preset time, the voice reminder module is controlled to remind the eye use. The main controller is also used to receive the electrical signal input by the brightness adjustment button, the adjustment and control signal input by the data analysis and processing device, and the output light control signal and the control signal of the massage module. The training button is used to obtain the user's eye training signal. The training button is electrically connected to the main controller. The main controller transmits the received eye training signal to the data analysis and processing device, and controls the AI ​​lens to perform eye training through the data analysis and processing device. The voice reminder module includes a sound adjustment button, a voice chip and a speaker. When adjusting the eye parameters, the control module 11 first adjusts the eye environment adjustment parameters and the user eye adjustment parameters according to the control signal output by the processor, controls the LED fill light to supplement the light and adjust the color temperature, or controls the massage module to perform massage. If the parameter configuration information input by the user is detected, the parameter adjustment is performed with the parameter configuration information input by the user as the highest priority.

[0042] A first LED fill light is arranged at the connection point between the left temple bracket 1 and the lens frame 3 and close to the eye, and a second LED fill light is arranged at the connection point between the right temple bracket 2 and the lens frame 3 and close to the eye. The first LED fill light and the second LED fill light are electrically connected to the control module 11. The control module 11 controls the first LED fill light and the second LED fill light to supplement light and adjust color temperature according to the received parameter information.

[0043] like Figure 3 to Figure 4As shown, massage modules are provided on the inner sides of the front ends of the left temple bracket 1 and the right temple bracket 2. The massage modules include a micro motor, a gear 5, a rack 6 and a massage head 7. The rotating shaft of the micro motor is connected to the central axis of the gear 5. The rack 6 is meshed with the gear 5. The side of the rack 6 is connected to the massage head 7 through a pressing mechanism 8. The micro motor drives the gear 5 to rotate, thereby driving the rack 6 to slide horizontally in the groove 9. The rack 6 drives the massage head 7 to move horizontally. The massage head 7 includes a flexible gasket. A micro vibrator is provided in the interlayer of the flexible gasket. The micro motor and the micro vibrator are both electrically connected to the control module 11.

[0044] After the user triggers the massage function of the massage module, the main controller controls the micromotor to work, the micromotor drives the gear 5 to rotate, and then drives the rack 6 to move in a direction parallel to the right temple bracket 2, and then drives the massage head 7 electrically connected to the rack 6 to move horizontally. During the movement, the massage head 7 can achieve the effect of periodic massage of the temples through the micro vibrator.

[0045] In this embodiment, in order to ensure the convenience of charging and the good waterproofness of the device, a wireless charging module is used to extend the battery life of the glasses. The wireless power supply module is arranged on one side of the right temple bracket 2, and a power reminder light is installed at the bottom of the lens frame 3. The wireless power supply module includes a battery, a battery management chip and a wireless charging module. The battery and the power reminder light are electrically connected to the battery management chip, and the battery management chip is electrically connected to the wireless charging module. When the battery management chip detects that the battery voltage is lower than the threshold voltage, the power reminder light is controlled to flash at a certain frequency as a reminder.

[0046] In this embodiment, the wireless charging module is composed of a receiving coil, a rectifier bridge, a filter capacitor, and a charging circuit composed of a protection resistor and a voltage regulator diode. The receiving coil is used to receive the wireless energy signal emitted by the wireless charger. The alternating voltage received by the receiving coil is converted into a DC voltage through a rectifier bridge, and then filtered by a filter capacitor connected in parallel to the DC end of the rectifier bridge. The charging circuit is connected in parallel between the two ends of the filter capacitor, and the filtered voltage signal charges the battery through the charging circuit.

[0047] The wearer's eye distance reflects his eye habits and posture. When the wearer is studying, working or traveling outdoors, the eye distance for studying and reading is less than 30CM, and the distance parameters are passed to the data analysis and processing device. After analysis, the data analysis and processing device issues a warning to the wearer to adjust the distance, starts a sound reminder, and reminds the AI ​​lens window. At the same time, after the light and shadow sensor obtains parameters such as brightness, it passes the current actual eye brightness to the data analysis and processing device. After comparative analysis, the light brightness adjustment is started according to the comparative analysis results to avoid the wearer using his eyes in a dim environment. These can prompt the wearer to correct his eye habits and postures, further prevent correction errors, and improve the preventive correction effect.

[0048] The processor can also identify the collected user eye images according to the existing refractive power detection method based on vision technology and the intraocular pressure detection method based on vision technology, obtain the refractive power parameters and intraocular pressure parameters, detect the intraocular pressure and duration of the wearer's eye use over a period of time, and when the detection parameters exceed the standard threshold, timely control the control module to remind the wearer to rest and start the eye massage device to perform eye care massage.

[0049] AI lenses can be used as display devices to display the fine vision training, red light flashing training, and grating training function modules provided by the glasses of this application to train the myopia, amblyopia and other vision of adolescents. By adjusting the light source, illumination, cycle, frequency, wavelength and other properties, the retina and vision of the eyes are optimized in different lighting environments to prevent and correct amblyopia and myopia in adolescents and children, so that the glasses of this application can achieve the functions of intelligent clear vision training instruments.

[0050] The present application also discloses a control method of an AI smart glasses machine capable of correcting vision, which is applied to the above-mentioned AI smart glasses machine capable of correcting vision, and includes:

[0051] Step S1: obtaining trigger signals of each capacitor start switch, and when the capacitor start switches on one side of the right temple support and the inner side of the nose bridge support both output trigger signals, activating the system and performing parameter initialization;

[0052] Step S2: Obtain eye image information and send it to a data analysis and processing device. The data analysis and processing device is used to obtain the wearer's eye medical parameters based on the eye image information, and output eye use thresholds based on the eye medical parameters and matching parameters in the expert database. The eye use thresholds include brightness thresholds, distance thresholds, and massage trigger thresholds.

[0053] When the data analysis and processing device obtains the wearer's ocular medical parameters based on the ocular image information, it uses the existing image recognition technology to extract features from the anterior segment image or the ocular image, and then analyzes it based on the trained intraocular pressure prediction model or the refractive power model, so that it can detect ocular medical parameters such as intraocular pressure and refractive power without contacting the patient. The expert database stores the eye environment parameters, distance and duration corresponding to different ocular parameters.

[0054] Step S3: Obtain the brightness of the light in front of the wearer's eyes and the wearer's eye distance, and send the acquired information to the data analysis and processing device. The data analysis and processing device automatically compares the wearer's current eye brightness and distance with the corresponding thresholds or the user's parameter configuration information, calculates the brightness adjustment range parameters, and outputs the eye distance reminder control signal and the ambient light intensity reminder control signal to the control module, which performs eye reminders and parameter adjustments.

[0055] Step S3 specifically includes:

[0056] Step S31: Compare the wearer's current eye brightness information with the set brightness threshold range. If the current brightness exceeds the range, it is marked as insufficient brightness or too strong brightness. The glasses automatically start the control module to perform brightness fill light operation or remind that the brightness is too strong.

[0057] Step S32: Determine whether the eye distance is greater than 30 cm. If it is less than 30 cm, the glasses will activate the reminder function to remind the eye behavior. The reminder methods include voice reminder, lens display and flashing signal light.

[0058] Step S4: Obtain the wearer's intraocular pressure parameters according to a preset collection cycle. When the detected intraocular pressure parameters exceed the standard threshold, the control and regulation module reminds the wearer to take a rest and starts the eye massage device to perform eye care massage;

[0059] Step S5: A long-distance real-scene image can be obtained through the AI ​​lens, and the real-scene image information is sent to the data analysis and processing device. The data analysis and processing device processes the real-scene image information in real time and converts it into virtual information to be projected onto the AI ​​lens;

[0060] Step S6: When the training button signal is obtained, the eye training mode is started, and the AI ​​lens is controlled to display the training image according to the training parameters.

[0061] Real-time processing of real-scene image information and converting it into a virtual image to be projected onto the AI ​​lens includes: calculating the blur of the real-scene imaging according to the image blur calculation method, synchronizing the imaging focal length of the real-scene and virtual information in real time based on the blur, and overlapping the real-scene and virtual images so that the wearer can clearly identify the real scene.

[0062] According to human vision, structural information is extracted from the image, and the image quality is tested for the similarity of the structural information. The image quality test here refers to the test of the image saved by AI imaging within the wearer's visual range. The specific method is to remove the brightness of the image, subtract the image mean, compare it using the variance, increase the brightness, restore the mean, and finally achieve a clear image visible to the wearer. The following method is used to calculate the image structure similarity comparison. Among them:

[0063] Brightness: The average grayscale of the image is used as the estimate. The brightness comparison function I(x,y) is about μ x , μ y The function of

[0064] Among them, x represents the saved original image, y represents the matching result image, N represents pixels, and μ is the brightness.

[0065] Contrast: Using the standard deviation of the image as an estimate, the contrast comparison function C(x,y) is about δ x , δ y The function of

[0066]

[0067] where δ x , δ y is a contrast measure that estimates the standard deviation of the image.

[0068] Structural information: Divide by the standard deviation of the image. The comparison function S(x,y) of the structural information is about and The function of

[0069] in,

[0070] Finally, the degree of image distortion is determined based on the brightness contrast function, contrast contrast function and structure contrast function, and the image is adjusted to achieve clear imaging for the wearer.

[0071] In this embodiment, the adjustment and matching based on the eye environment and the pathological parameters of the eye vision includes: obtaining the basic environmental parameters of the light brightness and the use distance in the wearer's current use environment, judging whether the basic environment of the wearer meets the optimal environment for the visual lesions, and if it is not the optimal environment, comparing and analyzing the optimal environmental parameters, and then automatically adjusting the basic use environment. If it is the optimal environment, the use time and distance parameters are judged, and according to the pathological parameters such as the tested intraocular pressure, it is judged whether the eyes are tired. If they are tired, the eye massage mechanism is activated to relieve the pressure on the optic nerve to achieve the goal of protecting the eyes. The optimal use parameters after comparison, analysis and adjustment are recorded and stored, and the use environment is adjusted.

[0072] The correction time can also be calculated based on the wearing time, including: obtaining the eye environment parameters for N days, analyzing and processing the data, and marking them respectively; continuing to calculate the marked big data through AI to obtain the environmental parameters and duration of scientific eye use, and at the same time establishing an AI big data statistical model of visual tolerance and parameter environment, setting a threshold that meets the wearer's use according to the statistical model, and establishing an actual correction method. The AI ​​smart glasses that can correct vision integrate an AI smart motherboard on the smart glasses and use a wireless communication module for network communication. At the same time, by installing AI lenses as an image information acquisition unit, the eye environment parameters and eye medical parameters are collected through the installed smart sensors, so as to output whether the wearer's eye distance, light, brightness, intraocular pressure, and vision are within the current environmental parameter range, and corresponding adaptation and adjustment are made according to different environments and intraocular pressures to improve the eye environment, prompting the use of this change in eye habits to achieve the effect of preventing and correcting vision. And according to the eye medical parameter sensor to detect eye medical parameters, obtain intraocular pressure, blood pressure, vision and other data, and then through the data analysis and processing device, measure the eye intensity and fatigue, give instructions on whether to massage the eyes, and relieve long-term eye fatigue. Utilizing light and shadow sensors and image acquisition devices, the wearer's head movement trajectory is detected for physical eye imaging and AI imaging according to the different eye-use environments, and the synchronization of the virtual image and the physical imaging image is adjusted according to the movement trajectory. The virtual and real images complement each other so that the wearer can clearly see the physical imaging information.

[0073] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the embodiments of the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An AI smart glasses machine capable of correcting vision, characterized in that: include: A left temple support (1), a right temple support (2), a lens frame (3) and a nose bridge support (4), wherein the lens frame (3) is provided with an AI lens; A light and shadow sensing device and a distance sensor are arranged above the nose bridge bracket (4), the light and shadow sensing device is used to detect the brightness of light in front of the wearer's eyes, obtain eye image information and real-scene image information, the light and shadow sensing device includes a brightness sensor and a micro camera assembly, and the distance sensor is used to detect the wearer's eye distance; A control module (11), a data analysis and processing device (12) and a photographing control module (13) are arranged on one side of the left temple support (1); the light and shadow sensing device and the distance sensor are electrically connected to the data analysis and processing device (12); the data analysis and processing device (12) is used to compare and analyze the acquired environmental parameters and user eye parameters with corresponding preset thresholds, and judge whether the current eye environment is in the optimal eye environment according to the comparison and analysis results; if it is not the optimal eye environment, the difference between the current environmental parameters and the corresponding preset threshold is used as the adjustment parameter, and the adjustment parameter, eye reminder signal and massage control signal are output to the control module (11). ), and is also used to process the captured distant real-life image in real time and convert it into a virtual image to be projected onto the AI ​​lens, the regulating module (11) and the photographing control module (13) are both electrically connected to the data analysis and processing device (12), the regulating module (11) is used to receive the user's parameter configuration information, adjustment parameters, eye reminder signals and massage control signals, and perform intelligent parameter adjustment, eye reminder and massage module control based on the received information, the photographing control module (13) is used to control the light and shadow device to photograph the wearer's eye image information according to the control signal sent by the data analysis and processing device, and the photographing control module (13) includes a relay module; A capacitor start switch is embedded on the outer side of the end of the right temple support (2) and the inner side of the nose support (4); the output end of the capacitor start switch is electrically connected to the input end of the data analysis and processing device (12); a brightness adjustment button (21), a parameter acquisition module (22) and a safety lock button (23) are also provided on one side of the right temple support (2); the output end of the brightness adjustment button is electrically connected to the signal input end of the control module (11); the brightness adjustment button (21) is used to obtain brightness parameter configuration information input by a user and send it to the control module (11); the parameter acquisition module is electrically connected to the data analysis and processing device; the parameter acquisition module (22) is used to collect the head running trajectory information of the wearer; the safety lock button (23) is electrically connected to the control module (11); and the safety lock button (23) is used to lock the adjustment parameters.

2. The AI ​​smart glasses machine capable of correcting vision according to claim 1, characterized in that: A first LED fill light is arranged at a side close to the eye where the left temple bracket (1) is connected to the lens frame (3), and a second LED fill light is arranged at a side close to the eye where the right temple bracket (2) is connected to the lens frame (3), and the first LED fill light and the second LED fill light are electrically connected to the control module (11), and the control module (11) controls the first LED fill light and the second LED fill light to perform light supplement and color temperature adjustment according to received parameter information.

3. The AI ​​smart glasses machine capable of correcting vision according to claim 1, characterized in that: Massage modules are provided on the inner sides of the front ends of the left temple bracket (1) and the right temple bracket (2). The massage modules include a micro motor, a gear (5), a rack and a massage head (7). The rotating shaft of the micro motor is connected to the central axis of the gear (5). The rack is meshed with the gear (5). The side of the rack is connected to the massage head (7) via a pressing mechanism (8). The micro motor drives the gear (5) to rotate, thereby driving the rack to slide horizontally in the groove (9). The rack drives the massage head (7) to move horizontally. The massage head (7) includes a flexible gasket. A micro vibrator is provided in the interlayer of the flexible gasket. The micro motor and the micro vibrator are both electrically connected to the control module (11).

4. The AI ​​smart glasses machine capable of correcting vision according to claim 1, characterized in that: The control module (11) comprises a timing module, a main controller, a voice reminder module and a training button. The timing module is electrically connected to the main controller. The timing module is used to record the user's eye use time and transmit the eye use time information to the main controller. The main controller is electrically connected to the voice reminder module. The main controller is used to determine the eye use time. When the eye use time exceeds a preset time, the voice reminder module is controlled to perform eye use reminder. The main controller is also used to receive the electrical signal input by the brightness adjustment button, the adjustment and control signal input by the data analysis and processing device, and the output light control signal and the control signal of the massage module. The training button is used to obtain the eye training signal input by the user. The training button is electrically connected to the main controller. The main controller transmits the received eye training signal to the data analysis and processing device, and controls the AI ​​lens to perform eye training through the data analysis and processing device.

5. The AI ​​smart glasses machine capable of correcting vision according to claim 1, characterized in that: A wireless power supply module is also provided on one side of the right temple bracket (2); a power reminder light is installed at the bottom of the lens frame (3); the wireless power supply module comprises a storage battery, a battery management chip and a wireless charging module; the storage battery and the power reminder light are both electrically connected to the battery management chip; the battery management chip is electrically connected to the wireless charging module; when the battery management chip detects that the battery voltage is lower than a threshold voltage, the power reminder light is controlled to flash at a certain frequency for reminder.

6. A control method for an AI smart glasses machine capable of correcting vision, applied to the AI ​​smart glasses machine capable of correcting vision as claimed in any one of claims 1 to 5, characterized in that: include: Acquire trigger signals of each capacitor start switch, and when the capacitor start switches on the outer side of the right temple support and the inner side of the nose bridge support both output trigger signals, activate the system and perform parameter initialization; Obtaining eye image information and sending it to the data analysis and processing device, the data analysis and processing device is used to obtain the wearer's eye medical parameters according to the eye image information, and output eye use thresholds based on the eye medical parameters and matching parameters in the expert database, the eye use thresholds including brightness thresholds, distance thresholds and massage trigger thresholds; Acquire the brightness of the light in front of the wearer's eyes and the wearer's eye distance, and send the acquired information to the data analysis and processing device, the data analysis and processing device automatically compares the wearer's current eye brightness and distance with the corresponding thresholds or the user's parameter configuration information, calculates the brightness adjustment range parameters, and outputs an eye distance reminder control signal and an ambient light intensity reminder control signal to the control module, and the control module performs eye reminder and parameter adjustment; The wearer's intraocular pressure parameters are obtained according to a preset collection cycle. When the detected intraocular pressure parameters exceed the standard threshold, the control and regulation module reminds the wearer to take a rest and starts the eye massage device to perform eye care massage; The AI ​​lens can acquire a long-distance real-scene image, and send the real-scene image information to the data analysis and processing device, which processes the real-scene image information in real time, converts it into virtual information and projects it onto the AI ​​lens; The eye training mode is started according to the obtained training button signal, and the AI ​​lens is controlled to display the training image according to the training parameters.

7. The control method of the AI ​​smart glasses machine capable of correcting vision according to claim 6, characterized in that: The automatic comparison of the wearer's current eye brightness and distance with the corresponding thresholds or the user's parameter configuration information, the calculation of the brightness adjustment range parameters, and the output of the eye distance reminder control signal and the ambient light intensity reminder control signal to the control module include: comparing the wearer's current eye brightness information with the set brightness threshold range, if the current brightness exceeds the range, it is marked as insufficient brightness or too strong brightness, the glasses automatically start the control module, perform brightness fill light operation or remind that the brightness is too strong; determine whether the eye distance is greater than 30cm, when less than 30cm, the glasses will activate the reminder function, and remind the eye behavior, and the reminder methods include voice reminder, lens display and flashing signal light.

8. The control method of the AI ​​smart glasses machine capable of correcting vision according to claim 6, characterized in that: The real-time processing of real-scene image information and converting it into a virtual image and projecting it onto the AI ​​lens includes: calculating the blur of the real-scene imaging according to an image blur calculation method, synchronizing the imaging focal length of the real scene and virtual information in real time based on the blur, and overlapping the real scene and the virtual image so that the wearer can clearly identify the real scene.

Images