1684 results about "Visual acuity" patented technology

An image calibration method and a device are provided. The method includes: obtaining a pupil position offset of a user and a visual acuity of the user, where the pupil position offset of the user is an offset of a pupil of the user relative to an optical axis; and adjusting a to-be-displayed image based on the pupil position offset of the user and the visual acuity of the user. In this way, when the user wears a head-mounted display device improperly, a point seen by the user when the user looks straight ahead is a center point of an image displayed on a display.

Open view smart eyewear is combined with a wavefront aberrometer module. The smart eyewear serves as an open view eyewear form factor and house the wavefront aberrometer module among other digital processing components and corresponding software. Alternatively, the wavefront aberrometer module is removably coupled to the smart eyewear. The wavefront aberrometer module calibrates a tunable optical element according to detected optical needs of the user. The wavefront aberrometer module automatically adjusts the wearer-user's effective visual acuity (at least refractive power) viewing through the smart eyewear. The smart eyewear apparatus can also provide clinical-quality optical measurements of wearer-users for electronic communication or transmission to an eye care professional. Alignment of open view smart eyewear, the wavefront aberrometer module, and user's eyes (line of sight) can be facilitated. Iris biometric identification can be used to associate the user-specific calibration parameters and measurements with the smart eyewear.

Provided is an optical sight with a non-optical rear sight element. The optical sight has a housing, an optical screen element, a light source that projects a sighting reticle image onto a surface of the screen element. A non-optical rear sight element is positioned on the housing forward of the screen element. The non-optical rear sight element may be selectively removable.

The invention discloses a cockpit visual work efficiency evaluation method. The method comprises the following steps: establishing a cockpit geometric model according to a real cockpit; establishing a cockpit light environment model according to the cockpit light environment parameters; establishing a cockpit optical material model according to the optical material parameters of the inner and outer surfaces of the cockpit; fusing and establishing a cockpit optical model; a simulation detector is arranged on the cockpit optical model; according to the cockpit optical model and the analog detector, human eye vision optical simulation and dazzle source space tracking and positioning are carried out; according to a glare source space tracking and positioning result, a cockpit structure is optimized; and performing cockpit visual work efficiency evaluation according to a cockpit structure optimization result. According to the cockpit visual work efficiency evaluation method, reasonable evaluation of cockpit visual work efficiency readable visibility in various environments is achieved, simulation is conducted on the cockpit light environment through computer software, and adjustment can be conducted according to the working habit, the vision condition, the age and other factors of each pilot.

The invention relates to the technical field of medical rehabilitation, and discloses a vestibular function and cognitive function rehabilitation training system and method based on virtual reality, and the rehabilitation training system comprises a hardware platform, a software platform and a server. The hardware platform comprises VR interaction equipment, a head motion tracking sensor and calculation and display equipment; the software platform is integrated with a user management module, a visual stimulation module, a vestibular rehabilitation training module, a cognitive evaluation and training module, a dynamic visual acuity evaluation module and a data management and analysis module. By combining black and white chess grid visual stimulation, standardized vestibular rehabilitation tasks, spatial cognitive testing and DVA objective monitoring, synchronous evaluation and personalized collaborative intervention of vestibular functions and cognitive functions of dizzy patients are realized. According to the method, the problems of boring traditional rehabilitation means, subjective evaluation and lack of quantitative feedback are solved, and the scientificity, interestingness and curative effect testability of rehabilitation training are remarkably improved.

The invention discloses an eye fundus image recognition method, system and device based on deep learning, the efficiency and precision of eye fundus disease recognition are improved through a portable handheld terminal and a cloud database, the portable handheld terminal comprises an eye fundus image feature acquisition module, an eye fundus image recognition and judgment device and a man-machine interaction module, wherein the eye fundus image recognition and judgment device comprises a feature engineering module, an image recognition module and a visual auxiliary fault module, the feature engineering module is responsible for data expansion, enhancement and normalization, the image recognition module performs image classification prediction by constructing a deep learning model, and model construction, parameter initialization, model training and pruning optimization are included. The visual auxiliary diagnosis module assists doctors in diagnosis by generating a thermodynamic diagram. Remote storage and analysis of data can be realized, the diagnosis efficiency is improved, the visual loss risk is reduced, and the system is particularly suitable for resource-limited regions.

Methods and systems for assessing a visual field of a person are provided. Information can be presented to a person undergoing a visual field testing in a manner that utilizes the person's natural tendency to look at an object that is displayed so that it attracts the person's attention. A fixation target can be displayed on a display viewed by a user. Once it is determined that the user has viewed the fixation target and the person's eye(s) location is determined, a test target is displayed on the display in a location corresponding to a location on the user's visual field. The test target is determined to be either detected or missed based on user input acquired as the user is viewing the display.

The invention provides a progressive addition lens design method based on free-form surface expression, is mainly used for vision correction of presbyopia groups, and belongs to the field of eye vision optical design. According to the design method, focal power matching and astigmatism minimization of the progressive multi-focus lens are achieved by optimizing the free-form surface, the design method constructs a nonlinear functional minimization problem by means of free-form surface expression, and meanwhile an optimized initial solution is obtained by solving a linear fourth-order partial differential equation related to a spherical base disturbance term; according to the method, astigmatism in an effective area of the lens can be minimized on the premise of realizing focal power matching as far as possible, high astigmatism areas on two sides of the progressive channel are transferred to an edge area of the lens, and various customization requirements including specific light adding degree, channel length, effective visual area range and the like can be met for a wearer.

The invention discloses an intelligent glasses system based on self-adaptive vision correction and multi-mode interaction and an implementation method thereof.The intelligent glasses system comprises a glasses frame, a loudspeaker, a solar power supply module, liquid crystal variable-focus lenses, an energy storage module, a data acquisition module and a data processing module, and the method comprises the steps that 1, data acquisition is conducted; step 2, vision detection and correction; step 3, performing multi-mode health monitoring; step 4, performing man-machine interaction; 5, emotion recognition and management; step 6, intelligent fatigue prevention; step 7, augmented reality; step 8, energy management; according to the invention, wavefront sensing and liquid crystal variable-focus lenses are adopted, so that vision monitoring and automatic correction are realized; comprehensive health management is provided by monitoring multiple physiological parameters; natural interaction is realized based on gesture and voice recognition; fusing the expression and the voice to recognize an emotional state and providing suggestions; detecting fatigue based on eye movement features, and adjusting parameters; navigation, translation and object recognition services are provided; a solar power supply module is additionally arranged to prolong the endurance time.

The invention relates to myopia prevention and control and sitting posture correction glasses and a control method thereof. The glasses integrate the distance sensor and the multi-axis sensor, and can monitor the eye using distance and the head orientation and posture of a user in real time. When it is detected that the eye using distance is too close or too far and the sitting posture is not correct, the processor chip can receive and process the information and judge whether the eye using habit and the sitting posture of the user meet the health standard or not. According to the glasses, the definition of the lenses is changed by adjusting the backlight of the lenses, so that a wearer is intelligently guided to adjust the eye using distance and the sitting posture, correct eye using posture and sitting posture habits can be cultivated, and vision problems and spine problems caused by bad postures can be effectively reduced. According to the invention, the lens is blurred by adjusting the backlight of the lens, so that the user can visually see the blocked sight, immediately realize the incorrect sitting posture and actively adjust the sitting posture. According to the scheme, the backlight reminding mode is milder, and the body or operation of the user cannot be interfered in a physical mode.

The utility model discloses a monocular telescopic laser range finder with a novel focusing function, which comprises a telescopic optical system, and the telescopic optical system comprises an objective lens group, an inner focusing lens, a beam splitter prism group, an LCD (Liquid Crystal Display) and an eyepiece group which are sequentially arranged along an optical axis L from a scene side to an eye side, the objective lens group, the inner focusing lens, the beam splitter prism group, the LCD and the eyepiece group are installed in a shell, the eyepiece group can move left and right along an optical axis L so as to adjust the distance between the eyepiece group and the LCD, people with different eyesight can clearly watch images displayed on the LCD, the inner focusing lens is additionally arranged between the objective lens group and the beam splitter prism group, and the lens group can be used for adjusting the distance between the eyepiece group and the LCD. The inner focusing lens can move left and right along the optical axis L so that sceneries at different distances can be imaged on the LCD, the inner focusing lens is driven by the driving mechanism, two functions of adjusting the distance between the eyepiece group and the LCD and focusing and imaging the sceneries at different distances on the LCD are realized by adopting two sets of independent mechanisms, the two functions do not interfere with each other, and the implementation is easy.

The invention relates to a self-adaptive visual training method based on eye features, and belongs to the technical field of visual health and artificial intelligence. In order to solve the problems that traditional visual training equipment is heavy in structure, single in training mode and lack of personalized regulation and control and concentration state monitoring, the visual training equipment obtains eye images of a user in real time through an image acquisition module, adopts visual intelligent analysis, extracts double features of eye contours and pupil positions, calculates the visual concentration degree, and improves the visual training efficiency. And a concentration state is judged by combining a dynamic self-adaptive threshold value. When the concentration degree is insufficient, the control module triggers intervention mechanisms such as prompt or training pause and the like, and the remote interaction module uploads data to the cloud platform to generate a personalized training scheme. Intelligent and personalized regulation and control of the training process are achieved, the training effect and compliance are improved, the system is compact in structure and suitable for various scenes, and an efficient solution is provided for vision health.

The invention discloses an eye protection method and system of an intelligent terminal, relates to the technical field of eye protection terminals, and aims to solve the problem of child eye use safety monitoring, multi-source data such as child face images, eye distances, equipment postures and environmental stability are collected, and time sequence data in a unified format is formed through noise filtering and synchronous processing; the posture angle and equipment stability information is extracted through the visual recognition and motion recognition sub-module, and the unhealthy eye using state is comprehensively judged; dynamically updating an eye using distance and a posture threshold value according to the height and the vision condition of the child and parent feedback; real-time monitoring is carried out, friendly reminding is triggered, and feedback data are recorded for closed-loop optimization; through cloud management, a parent-side App can check data in real time, a protection mode can be remotely started, and personalized eye protection suggestions are provided based on big data analysis. Through real-time remote intervention, accurate monitoring and personalized management of eye using behaviors of children are remarkably improved, and the risk of myopia is effectively reduced.

The embodiment of the invention discloses a visual reconstruction method, device and equipment, a computer readable medium and a program product. A specific embodiment of the method comprises the following steps: acquiring an original image; obtaining a view image of a target user; carrying out binarization processing on the visual field image to obtain a binarized visual field image; de-noising processing is carried out on the binarized visual field image to obtain a de-noised visual field image; performing contour detection on the denoised view image to obtain a contour detection result; generating a residual vision area corresponding to the target user based on the contour detection result; generating an energy field graph according to the original image; generating a vision reconstruction image corresponding to the original image according to the generated energy field image, the original image and the residual vision area; and displaying the visual reconstruction image. According to the embodiment, visual field defect visual aid equipment does not need to be customized, and optical accessories do not need to be replaced.

The invention discloses a visual training system and a visual training method, and relates to the technical field of visual training, the visual training system comprises a data acquisition module, an intelligent control module, a visual training module and a data management module; wherein the data acquisition module is used for acquiring initial visual data of a user; the intelligent control module is used for generating a training scheme according to the initial visual data, dynamically adjusting the training scheme according to the real-time training data, and generating and sending a control signal to the visual training module according to the training scheme; the visual training module is used for performing visual training according to the control signal and outputting training data; the data management module is used for storing training data and generating and outputting a visual training report according to all the training data of the user; the visual training report comprises a training progress curve and a vision change curve of the user. According to the invention, an intelligent visual training method can be provided to improve the visual training effect.

The invention discloses an intelligent eye-protection illumination control system, and relates to the technical field of intelligent illumination control, and the system comprises a physiological analysis module which is used for calculating the pupil diameter physiological index of a user through a Daugman algorithm based on the preprocessed multi-source data, marking fatigue early warning, obtaining the fatigue state of the user, and obtaining the fatigue state of the user according to the long-time fixed region of the sight line of the user; performing sight line drop point processing and region division through a space coordinate mapping and clustering algorithm to generate a concentration region coordinate; the instruction generation module is used for fusing the scene initial light strategy and the focus area coordinate through a weighted fusion method, forming a light parameter in combination with a user vision parameter, and analyzing through an NSGA-II algorithm to obtain an illumination control instruction; the execution module is used for transmitting and executing based on the illumination control instruction through a wireless communication method, and monitoring visual physiological reaction of the user in real time to obtain feedback data; according to the invention, the environment change is predicted through the Markov model, the illumination is prevented from lagging behind the environment change, and the illumination foresight and adaptability are improved.

The invention discloses an optical parameter setting method of a device and a terminal device, relates to the technical field of optics, can provide an optical display effect suitable for the specific vision condition of a user for the user, and improves the user experience. According to the scheme, when the user uses the terminal equipment, the terminal equipment can automatically measure the vision conditions of the user, such as myopia, hyperopia, astigmatism, night vision, color weakness and narrow visual field, and the severity of the vision problem of the user, and corresponding optical parameter adaptation is carried out based on the specific vision conditions. And meanwhile, the terminal equipment can store the measured vision information of the user in the equipment, so that the optical parameters of the intelligent glasses can be adjusted to be adaptive to the state of the user without re-measurement when the user uses the intelligent glasses next time. Based on the scheme, user operation can be simplified, meanwhile, it is ensured that the user can accurately and clearly obtain related picture information in the process of using the terminal equipment, and humanized visual experience is provided for the user.

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.

The invention relates to the technical field of vision intervention, in particular to an eye muscle regulation ability training method and a visual training graph generation method thereof.According to the eye muscle regulation ability training method, feature information of a trainee and distance information of training are obtained, and a preset image generation network model is used for generating a corresponding visual training graph; the training device is used for training the eye muscle adjusting ability of a trainee. According to the method, the initial distance point location is matched based on the eyesight data of the trainee, the corresponding vision training graph is generated according to the current distance point location and the feature data of the trainee, the training intensity is dynamically adjusted, a personalized training scheme is achieved, the eye muscle adjusting ability is helped to be improved, and the training effect is improved. The problem of poor effect or overtraining caused by inappropriate training intensity is avoided, and the technical problems that in an existing eye muscle training method, due to insufficient individual pertinence, the training effect is difficult to quantify, and training scientificity and systematicness are insufficient are solved.

The embodiment of the invention discloses an image display method, an image display device, electronic equipment and a storage medium. The image display method comprises the following steps: acquiring a to-be-processed image; at least part of the area of the to-be-processed image is subjected to fuzzy processing, an out-of-focus image is obtained, and the out-of-focus image is used for being imaged on the retina of a user when the vision of the user is normal; and displaying the out-of-focus image. According to the embodiment of the invention, the image content seen on the retina of the user is restored through the blurred image when the myopia is out of focus, so that the myopia out-of-focus image is seen when the human eyes are normally focused, and the effect of protecting the eyesight through out-of-focus is further realized.

The invention discloses a vision correction method based on VR eyeball following movement, and relates to the field of vision and vision correction, in particular to a method for correcting vision through eyeball following movement of a human body based on a VR technology, a glasses tool, corollary equipment and an application method. Comprising the steps of training acquisition, training video selection, following judgment, video adjustment and the like, the following condition of the eyeball can be evaluated more accurately by calculating the angle difference and the eyeball movement following degree, and the problems that misjudgment possibly exists in a traditional method and the training effect is poor due to the fact that the eyeball cannot follow are solved. According to the technology, the parameters of the training video can be dynamically adjusted according to real-time feedback of the eyeball following degree, and the vision correction effect is improved; by means of the VR technology, tools, equipment and other methods, eyeballs move along with the VR technology, tools, equipment and the like, and the vision of people is improved and corrected; therefore, extraocular muscles are trained to drive eyeballs to move, eyeball crystalline lenses move back and forth along with the video, and the effect of improving the naked eye vision is achieved.

The invention relates to a method for relieving juvenile pseudomyopia based on artificial intelligence, and relates to the field of vision adjustment, and the method comprises the following steps: obtaining an eye using distance in a sight line direction; when the eye using distance falls into a preset vision interval, acquiring eye using time; when the eye using time exceeds a preset eye using fatigue interval, determining a far-away focal length according to the eye using distance; determining a glasses control parameter according to the distant focal length; and controlling preset zoom glasses to adjust the focal length according to the glasses control parameters. The application has the effects of improving the treatment effect on the pseudomyopia patient and reducing the condition of eye fatigue in daily life.

The invention provides a vision assessment method and system based on augmented reality, and relates to the technical field of vision assessment, and the method comprises the steps: obtaining an environment correction parameter based on an environment parameter; generating visual stimulation according to the vision evaluation task, the environment correction parameter and the initial visual stimulation parameter; s103, obtaining response feedback of the user to the current visual stimulation, and performing feature extraction on the response feedback to obtain a feature vector; s104, inputting the feature vector into a pre-trained adjustment model to obtain a visual stimulation parameter adjustment amount, and adjusting the visual stimulation parameter based on the visual stimulation parameter adjustment amount to obtain an updated visual stimulation parameter; s105, generating updated visual stimulation according to the vision evaluation task, the updated visual stimulation parameters and the environment correction parameters; the steps S103 to S105 are iteratively executed until a preset evaluation termination condition is met; and inputting the structured evaluation sequence data into a pre-trained evaluation model to generate a vision evaluation result of the user.

The invention relates to the technical field of health service, and particularly discloses an intelligent health monitoring and service system assisted by artificial intelligence, which is used for solving the problem that the existing intelligent eye protection equipment is difficult to correct accurately when the posture of a user changes. Parameters influencing eyesight detection are obtained through the first detection unit, the second detection unit and the third parameter obtaining unit, correction needing to be conducted during eyesight detection is conducted based on parameter analysis, the problem that a traditional eyesight protection instrument is difficult to correct accurately when the posture of a user changes is solved through real-time detection and dynamic adjustment, and the user experience is improved. The accuracy and effectiveness of eyesight protection are remarkably improved, and the user experience and the health management effect are enhanced through an intelligent and personalized correction scheme.

To provide technology in spectacles with spectacle lenses that exhibit a myopia progression inhibiting effect or a hyperopia mitigating effect, for ensuring peripheral vision while inhibiting habituation of upward or downward gazing, thereby facilitating attaining the myopia progression inhibiting effect or hyperopia mitigating effect.SOLUTION: Spectacles have spectacle lenses that exhibit a myopia progression inhibiting effect or a hyperopia mitigating effect. The spectacle lenses each have: a central clear region which achieves prescribed refractive power for a wearer and includes an eye point of the spectacle lens; an annular functional region which has a portion having different refractive power than the prescribed refractive power and surrounds the central clear region; and an annular peripheral clear region which achieves the prescribed refractive power and surrounds the functional region; where, on the vertical straight line passing through the eye point, the width of the peripheral clear region in the vertical direction is smaller than the circle equivalent diameter of the central clear region.SELECTED DRAWING: Figure 1

The invention relates to the technical field of myopia prevention and control, and discloses a myopia prevention and control management system and method based on an AI technology and pattern classification. The system comprises a data acquisition module which is used for acquiring vision related data and daily eye using behavior data of a user; the data processing module carries out preprocessing and feature extraction on the vision related data and the daily eye using behavior data to obtain AI monitoring processing data; the AI analysis module obtains a risk level from AI monitoring processing data through a myopia risk assessment model, starts a myopia disease type AI detection model to obtain a disease type when the risk is medium and high, and obtains a myopia development trend result and an eye using behavior problem through a myopia development trend prediction model and personalized eye using behavior analysis; and the user service module generates and stores a user vision health file and generates a personalized intervention scheme. According to the invention, accurate evaluation of the myopia risk, scientific prediction of the development trend and personalized intervention are realized, and the pertinence and effectiveness of myopia prevention and control are improved.

The invention provides a contact lens with peripheral defocus, and relates to the technical field of optical lenses, the lens comprises a contact optimization core area, a partitioned progressive microprism array area and a dynamic light scattering area, and the specific setting is as follows: the contact optimization core area is located at the geometric center of the lens, the outward extension radius is 1.8-2.2 mm, and the contact optimization core area provides clear central vision; according to the intelligent self-adaptive contact lens, the intelligent self-adaptive contact lens is characterized in that the intelligent self-adaptive contact lens comprises a contact optimization core area and a partition progressive microprism array area, the partition progressive microprism array area is located on the outer side of the contact optimization core area and surrounds the contact optimization core area in a concentric ring shape, and through collaborative design of the partition progressive microprism array area and the dynamic light scattering area, the real-time monitoring and dynamic adjusting capacity of a photoelectric feedback control module is combined; the problem that an optical structure of an existing product lacks dynamic adaptability is effectively solved, and the optical structure can be changed according to different illumination environments and wearing duration.

A method for performing an astigmatism power test using a computing having a screen for displaying images relating to the astigmatism power test. The method includes determining an angle of astigmatism, calibrating visual acuity of the user, determining amplitudes required for the astigmatism correction, and determining the needed refraction, as well as a corresponding computer system.

The invention relates to the technical field of functional food, in particular to an eye-protecting and brain-strengthening composition as well as a preparation method and application thereof. The aronia, the astaxanthin, the DHA, the medlar, the hovenia dulcis thunb and the saffron crocus extract are compounded, various functional raw materials have a synergistic effect, the visual problem is improved through multiple channels, the cognitive ability is synchronously improved, and the astaxanthin eye drops have the effects of preventing retina oxidative damage, promoting eye blood circulation, relieving visual fatigue, protecting nerve cells and improving the cognitive state. Through reasonable proportioning, the composition for protecting eyes and strengthening brain has better effects of relieving visual discomfort, improving vision and improving brain health.

The invention relates to the technical field of man-machine interaction. The invention provides a sight tracking method for a head-mounted optical typoscope, and the method comprises the following steps: firstly, carrying out the preprocessing of a collected image, secondly, judging the region where the typoscope is located, then solving the problems of shielding and deformation of pupils to obtain the contour of the pupils, carrying out the modeling and parameter solving of the pupils and eyeballs according to the contour of the pupils, and carrying out the tracking of the sight of the head-mounted optical typoscope. And finally, realizing sight tracking through coordinate system conversion and single-point calibration. The method can be used for tracking the sight of the user under the condition that the user wears the optical typoscope on the head, the sight tracking task of the head-mounted optical typoscope can be rapidly and accurately completed, and the method has good accuracy and robustness and has positive significance in attention mechanism research and the like of low-vision people.