1155 results about "Visual acuity" patented technology

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.

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 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 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 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.

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.

Users exploiting near-to-eye (NR2I) displays for augmented reality and / or correction of low vision are typically wearing these NR2I displays for specific tasks or for extended periods of time, potentially all their time awake. Conflicting tradeoffs between user comfort and minimal fatigue and strain during use, ease of attachment, minimizing intrusiveness and aesthetics should be concurrently balanced with providing an optical vision system that provides the user with a wide field of view, high image resolution, and a large exit pupil for eye placement with sufficient eye clearance. Accordingly, embodiments of the invention provide NR2I displays meeting these conflicts whilst also addressing the inherent variations between user in respect of their head dimensions, head and eye geometry, as well as adapting the displayed content to reflect the user's task at-hand, visual defects or degradations, visual focus and intent upon various regions-of-interest within their field of view. Such HMDs providing enhanced user experiences.

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.

Systems and methods for providing a unified visual localization architecture are described herein. In some implementations, a system includes an image acquisition device mounted to an object, the image acquisition device configured to acquire a query frame of an environment containing the object. The system also includes a memory device configured to store an image database. Further, the system includes at least one processor configured to execute computer-readable instructions that direct the at least one processor to identify a set of data in the image database that potentially matches the query frame; identify a vision localization paradigm in a plurality of vision localization paradigms; and determine a pose for the object using the set of data, the query frame, and lens characteristics for the image acquisition device as inputs to the vision localization paradigm.

The invention relates to the technical field of computer vision, in particular to a multi-modal intelligent glaucoma recognition method and system based on transfer learning, and the method comprises the following steps: collecting fundus images of a glaucoma patient in multiple stages based on medical image data, analyzing the texture and shape changes in the images, and obtaining a multi-modal image; and simulating changes of the pathological features in a plurality of development stages, and generating a dynamic pathological feature sequence. According to the method, retina changes of a glaucoma patient in multiple disease development stages are simulated, visual feature information of pathological features in multiple development stages is captured, visual features of fundus images of the patient are extracted and compared, the disease development stages of the patient are evaluated, and the feature recognition process is optimized in combination with transfer learning. The method improves the generalization ability of the model and the diagnosis accuracy, achieves the accurate evaluation of the visual impairment through combining the measurement and prediction of the intraocular pressure data, and helps medical personnel to judge the retina state of a glaucoma patient.

Provided is a medical apparatus for predicting myopic regression. The medical apparatus for predicting myopic regression can be configured to predict at least one of a probability of myopic regression and whether myopic regression will occur from numerical data including a refractive power, a corneal curvature, an eye axial length, a photopic pupil size, a mesopic pupil size, a corneal diameter, a corneal thickness, a corneal epithelial thickness, a high-order aberration, a visual acuity, an intraocular pressure, a sex, and an age using a machine learning processor.

The invention relates to the technical field of zoom glasses, and discloses a pair of intelligent zoom glasses based on a visual feedback mechanism, which comprises a glasses frame, lenses and an electronic element comprising a light sensor, an eye movement tracking sensor, a control unit and a power supply module, compared with traditional single-focal-length glasses, the glasses can cope with complex eye using scenes, for example, when different illumination rooms are switched, the focal length can be automatically adjusted, eye fatigue can be relieved, and clear vision can be guaranteed; compared with an existing glasses product, the glasses deeply integrates eye movement tracking and light sensing technologies, synergistically exerts advantages, and accurately serves vision correction optimization; the defects that most zoom glasses are not accurate in adjustment and slow in response are overcome, and accurate focusing is achieved by integrating light and eyeball focusing directions; and a protection mechanism and a self-adaptive strategy are set according to strong light and weak light, so that the visual comfort of a user is guaranteed in an all-around manner, and multiple eye using requirements are met.

The invention discloses a self-service vision detector for AI human body action reading, which comprises an action capture module, an eye movement tracking module, a self-adaptive test module, a feedback and suggestion module, an intelligent diagnosis module and a user interaction interface module, and is characterized in that the action capture module captures and analyzes human body actions in real time by using a camera or a sensor; the eye movement tracking module detects visual response of a user by analyzing movement tracks of eyeballs in real time, the self-adaptive testing module automatically adjusts difficulty of testing content according to eye movement data of the user, and the feedback and suggestion module analyzes results according to response time of the user and focusing precision data of the eyes. According to the method, the vision level of the user is automatically judged, a detailed diagnosis report is generated, and compared with the prior art, a feedback mechanism can reduce man-made interference and improve the accuracy and reliability of testing.

A vision test can be implemented in a virtual reality (VR) environment using a computer device that includes a head-mounted display (HMD). The computer device can obtain historical vision data of a patient user. Based on the historical vision data, the computer device determines an ordered sequence of vision tests including a first vision test for the patient user. The first vision test is followed by a set of one or more subsequent vision tests of the ordered sequence of vision tests. The computer device executes a user application configured to enable the ordered sequence of vision tests by rendering a user interface on the display. A first visual stimulus of the first vision test is displayed on the user interface. The computer device obtains a user response to the first visual stimulus, and dynamically adjusts one or more subsequent visual stimuli based on the user response.

The invention discloses a vision correction lens for an XR product and a manufacturing method thereof.The lens comprises a front surface and a rear surface, the front surface is arranged to be a plane, the rear surface is arranged to be a curved surface, and the manufacturing method specifically comprises the steps that S1, a three-dimensional human eye eyeball simulation model containing human eye structure features is constructed, establishing a lens-eyeball combined optical model; s2, optimizing the integrated structure of the lens and the waveguide; s3, sampling lens grid data points point by point; s4, constructing a target evaluation function MF and optimization parameters; s5, correlation coefficients are calculated, and lens and free ring curved surface profiles are constructed; according to the invention, the difference between the natural light and the light from the XR waveguide sheet in wavelength and light component is particularly distinguished, the problem of image distortion at the edge of the field of view under a large visual angle can be obviously improved, and the image quality and visual comfort of the XR glasses are effectively improved on the premise of ensuring the vision correction function, so that the vision correction effect is improved. And the integrated structure of the lens and the waveguide is simplified.

A method includes receiving, for presentation to a user of a user device, image data representing an image. The method also includes generating, using a textual story generative model, based on the image data, a textual story for the image, and generating, based on the textual story for the image, textual story audio data representing the textual story for the image. The method further includes providing, for audible output from the user device, the textual story audio data.

An electronic device with which a user can see an image with less distortion is provided. The electronic device includes a display apparatus and an optical device. The optical device includes a position adjustment mechanism and can perform eyesight adjustment. The display apparatus displays a correction image that has been distorted from an original image into a barrel shape to correct distortion aberration of a lens. A correction amount of the correction image (a size and a distortion rate of the image) is changed according to the position of the lens moved by the position adjustment mechanism. This enables the image to be corrected to an optimal state at all times even when the position of the lens is moved for the eyesight adjustment and thereby improves the quality of the image to be seen.

The invention discloses a double-arm robot main and auxiliary moving operation coordination control method based on vision / force sense servo and implementation thereof. Double-arm coordination is supported, multi-sensing information is fused, compliant operation is considered, and the method is adaptive to a moving scene. The mobile main and auxiliary double-arm robot control system comprises a mobile base subsystem, a main and auxiliary double-arm subsystem and a control subsystem. The double-arm main and auxiliary operation coordination control method based on visual / force sense servo comprises visual servo target tracking based on a tail end camera and force sense servo compliant operation control based on a force sensor, operation tasks are achieved in the state that a base moves, and the double-arm main and auxiliary operation coordination control method adapts to the complex working environment; a state machine mechanism is adopted to manage a mechanical arm motion mode, screw assembly task-oriented operation process arrangement is realized, and the efficiency and controllability of the operation process are improved.