24 results about "Blindness" patented technology

The utility model relates to the technical field of color vision detection, in particular to a color blindness and color weakness detection disc which comprises a storage mechanism, a peep-proof mechanism, an adjusting mechanism and a detection mechanism. According to the color blindness and color weakness detection device, the false homochromaticity images pasted in all the grooves in the rotating disc are sequentially rotated to the position under the observation hole to be observed by a detector, on one hand, the color discrimination ability of the detector can be evaluated more comprehensively, the time of the detector in the color blindness and color weakness detection process is shortened, the color blindness and color weakness detection efficiency of the detector is further improved, and the detection efficiency of the detector is improved. On the other hand, a detector observes different false homochromatic images on the rotating disc, the situation that the detector makes contact with the false homochromatic images manually is reduced, the service life of the detection disc is prolonged, meanwhile, an observation hole is shielded through a baffle at the top of the peep-proof mechanism, it is guaranteed that the false homochromatic images on the rotating disc can only be observed by the detector, the situation that the detector is reminded by others is avoided, and the detection efficiency is improved. And the detection accuracy and fairness are further improved.

The utility model relates to the technical field of vision measurement, in particular to an eye vision measurement device which comprises a base, a stand column is fixedly installed in the middle of the top end of the base, an installation base is fixedly installed at the top end of the stand column, and a lampshade is movably installed over the top end of the installation base. A measuring mechanism is arranged on the front face of the lampshade, and a lighting mechanism is arranged in the lampshade. Protection mechanisms are arranged on the two sides of the mounting base and the lampshade, and a driving mechanism matched with the protection mechanisms is arranged in the stand column. Through the color switching function of the RGBW lamp tube, dual functions of vision degree measurement and color blindness detection are realized, a user can complete comprehensive vision health assessment only by using one device, other equipment does not need to be additionally purchased or used, and the use convenience and efficiency are greatly improved.

This invention relates to the field of flight vision assessment technology, and discloses a pilot change blindness assessment system and method based on deep learning. The system includes: a data acquisition module, which acquires and aligns cockpit display video sequences and pilot eye movement trajectory sequences to obtain a set of semantically relevant regions; a change anchor point extraction module, which extracts image frames before and after the change and generates a change anchor point mask; a change region determination module, which determines a set of change target regions and a set of change neighborhoods; a gaze sequence construction module, which determines event-level gaze sequences and change contact ratios; a closed-loop feature determination module, which determines change registration closed-loop features; a mismatch determination module, which determines eye movement registration features, image-side change features, and change registration mismatch; and a blindness assessment output module, which outputs a single-event change blindness assessment value, a change blindness level, and an overall change blindness assessment value for the entire flight mission. This invention achieves automated and quantitative assessment of the pilot's change blindness state.

A virtual eye test for assessing night blindness can be conducted in a virtual reality (VR) environment. The test utilizes an electronic device equipped with a head-mounted display (HMD) and a camera. The device generates a VR user interface corresponding to a three-dimensional virtual environment and renders it on the HMD. A plurality of visual scenarios, each corresponding to a different lighting condition, are simulated within the VR interface. Using the camera, the device tracks user interactions and responses to visual stimuli presented in these various lighting scenarios. Night blindness is measured based on the tracked user interactions and responses, providing a comprehensive assessment of visual performance under different low-light conditions in a controlled, immersive environment.

The invention discloses a cortex visual prosthesis control method and system based on reinforcement learning and behavior feedback, and the method comprises the steps: obtaining a visual image of an external environment, and extracting a feature vector of the visual image; inputting the feature vector into a reinforcement learning environment to generate an electrical stimulation pulse sequence corresponding to a plurality of microelectrode channels; applying the sequence of electrical stimulation pulses to a microelectrode array implanted in the visual cortex of a patient to induce light magical perception; behavior feedback generated when the patient executes a visual recognition task based on the light magical visual perception is obtained; and updating parameters of the reinforcement learning environment based on the behavior feedback to form closed-loop optimization. The stimulation strategy can be evolved on line, the cortical function recombination state of an individual caused by long-term blindness is automatically adapted, the morphological drift of light magical vision along with time can be effectively dealt with, and therefore the stability and long-term availability of artificial visual perception are remarkably improved.

An information processing apparatus includes: a determiner configured to determine whether a combination of adjacent two colors in inputted image data is a combination in which a person with color blindness is likely to confuse the two colors; and a decider configured to decide, as a proposed change of the combination of the two colors, for the combination determined to be the combination in which the person with color blindness is likely to confuse the two colors by the determiner, a combination in which at least one of the two colors is changed such that the person with color blindness is capable of distinguishing the two colors and in which a degree of change of the at least one changed color of the two colors is minimized for a person with normal color vision.

Aspects of the disclosure relate to compositions, nucleic acids, vectors, viruses, and methods useful for treating hearing loss and / or blindness, for example, Usher Syndrome type IF. The present disclosure provides isolated nucleic acids, vectors, and rAAV.9.PHP.B comprising a transgene encoding a mini-PCDH15, and methods of treating hearing loss using the same. The present disclosure also provides a gRNA associated with a base editor to correct one or more mutations in PCDH15 for treating hearing loss and / or vision loss.

This invention provides a myopia screening device. The first end of the housing is designated as the detection end for testing the subject's eyes. A visual target screen, a screening camera, and an optical path assembly are all housed within the housing. The visual target screen is located on one side wall of the housing, the optical path assembly is positioned between the detection end and the visual target screen, and the screening camera is located at the second end of the housing. The screening camera captures a light and shadow image of the subject's pupil. A processor processes and analyzes the light and shadow image captured by the screening camera. An input device communicates with the processor and inputs the image seen by the subject on the visual target screen into the processor. This invention enables not only refractive error testing but also visual acuity testing and color blindness / color weakness testing. Furthermore, this invention can estimate the subject's visual acuity based on the refractive error test results, generate a corresponding estimated visual target based on the estimated visual acuity, and quickly complete the visual acuity test, effectively shortening the visual acuity screening time.

The invention provides a model training method and device, a visual evaluation method, an aircraft and a medium, and relates to the technical field of image processing, and the method comprises the steps: extracting global contrast, marginal definition, texture features and dust concentration related to a sand blindness environment through a sample visual image, and obtaining corresponding sample sand blindness visual features; and obtaining a target training sample set based on the sample sand blindness visual features and the corresponding label information, and training the initial visual evaluation model based on the target training sample set to obtain a target visual evaluation model. The initial visual evaluation model can learn enough information associated with the sand blindness environment through the sand blindness visual features, and learn the relevance between the sand blindness visual features and the subjective evaluation of the pilot, so that the target visual evaluation model can accurately output a visual evaluation result conforming to the real feeling of the pilot. The scientificity and rationality of visual evaluation in the sand blind environment can be improved.

We provide a system that allows visually impaired users to easily navigate web pages and access information. [Solution] The system consists of an editorial department that dynamically edits the HTML of a web page, a support department that adapts the edited HTML to the web standard WAI-ARIA, a navigation department that provides keyboard navigation based on the adapted HTML, an alternative text generation department that generates alternative text for images based on the navigation, a labeling department that adds labels to form fields based on the alternative text, a filter department that provides a filter function to accommodate color blindness based on the labels, and a summarization department that summarizes the content based on the filter function.

The invention relates to the technical field of color blindness diagnosis, and particularly provides a color blindness personalized interactive evaluation method and system based on augmented reality, and the method comprises the steps: building a color mapping relation between a physical color card and an augmented reality environment based on a standard illumination condition; generating a hue test task composed of a plurality of virtual color blocks corresponding to the color mapping relation through the augmented reality environment; based on a natural interaction mode, assisting the user in sorting the virtual color blocks and recording a sorting result to obtain color vision defect features; local or cloud quantitative analysis is carried out on the color vision defect features, color vision quantitative error parameters are calculated, a user color vision perception model is constructed, and the color vision defect type and severity level of the user are output based on the user color vision perception model; and outputting a color vision evaluation report and generating a targeted color optimization scheme according to the user color vision perception model, the color vision defect type and the severity level. According to the invention, a full-process solution from accurate evaluation to personalized color adaptation is provided for color blindness users.

The invention relates generally to an insert intended to be embedded in a silicone hydrogel contact lens. The insert is made of crosslinked materials that are rigid in the dry state at room temperature (approximately 22°C to approximately 26°C), have high oxygen permeability and a high refractive index in the fully hydrated state, and can be softened at temperatures above 32°C. Such materials are useful in the manufacture of embedded contact lens inserts for correcting corneal astigmatism, presbyopia, and color blindness, and for imparting photochromic characteristics to the lenses. The invention also relates to a method for manufacturing embedded silicone hydrogel contact lenses comprising an insert of the invention, and embedded silicone hydrogel contact lenses comprising an insert of the invention.

The application discloses a color blindness auxiliary identification method and device, equipment and storage medium, relates to the technical field of head-mounted display equipment, and the method is applied to the head-mounted display equipment, and the head-mounted display equipment comprises an inside camera, an outside camera and an imaging module. The method comprises the following steps: determining the color blindness auxiliary type of the head-mounted display equipment, wherein the color blindness auxiliary type corresponds to at least one obstacle color; identifying the fixation point of a target user through the inside camera, and acquiring a scene image through the outside camera; identifying the target object corresponding to the fixation point in the scene image; if the target object exists and belongs to the obstacle color, the target color corresponding prompt information is displayed in the imaging module. The application identifies the target object at the fixation point of the user, and specifically prompts the color of the object observed by the user, avoids the influence on the whole visual picture, avoids the influence of the environment on the color correction, and thus the robustness of the color auxiliary identification is improved.

The invention provides a color blindness detection method and head-mounted equipment. The color blindness detection method comprises the following steps: selecting and calibrating target head-mounted equipment; creating a color blindness detection image set and a display mode corresponding to the detection image set in the target head-mounted device; displaying the detection image set according to the display mode through the target head-mounted device, and guiding a to-be-detected user to answer questions according to display contents; and obtaining a detection result according to an answer result corresponding to the detection image set, and determining color blindness parameters of the to-be-detected user according to the detection results of all the detection image sets. According to the invention, automatic detection of color blindness can be rapidly realized, the consistency of detection for different users is high, and misjudgment is reduced.

This application discloses a user-subjective brightness adjustment system and method based on visual ERP. An EEG signal acquisition device acquires EEG signals from a user when they are visually stimulated. A paradigm control module controls a display device to generate at least one visual stimulation group consisting of multiple rounds, each of which includes target stimulation and non-target stimulation, presented at fixed time intervals. An EEG data processing module filters and removes interference from the acquired EEG signals, and calculates the ERP amplitudes of the target stimulation and non-target stimulation based on baseline EEG data. A brightness sensitivity index calculation module calculates the brightness sensitivity index corresponding to each brightness level. A brightness adjustment module determines the display device brightness corresponding to the optimal ERP quality based on the brightness sensitivity index corresponding to each brightness level, and automatically adjusts the brightness or grayscale of the display device. This application avoids the blindness and individual bias of traditional subjective brightness adjustment.

In various examples, methods and systems are provided for determining, using a machine learning model, one or more of the following operational domain conditions related to an autonomous and / or semi-autonomous machine: amount of camera blindness, blindness classification, illumination level, path surface condition, visibility distance, scene type classification, and distance to a scene. Once one or more of these conditions are determined, an operational level of the machine may be determined, and the machine may be controlled according to the operational level.

The application provides a kind of corrects color blindness weak lens hydrating liquid and the hydration method of correcting color blindness weak lens, belongs to the technical field of correcting color blindness weak lens preparation.The corrects color blindness weak lens hydrating liquid provided by the application includes organic solvent, anionic surfactant and water, the volume ratio of the organic solvent and water is (3-7) :(3-7), the mass fraction of the anionic surfactant is 0.5-5%, the correcting color blindness weak lens is hydrogel lens, and the dye used is cationic dye.Using the hydrating liquid provided by the application can quickly precipitate the unreacted dye residues in the correcting color blindness weak lens.

This invention discloses a method, apparatus, device, and storage medium for determining a grasping posture. It acquires a visual image and a depth image of the current scene, as well as natural language information input by the user. The natural language information describes the feature information of the object to be grasped. Based on the visual image and the natural language information, it determines the availability points of the object to be grasped in the visual image. Based on the availability points and the visual image, it determines a mask image of the object to be grasped. Based on the visual image, depth image, camera parameters, and the mask image, it determines the grasping posture of the object to be grasped. By directly locating the availability points of the object through natural language information, and using these points to guide local segmentation to generate an accurate mask, and then combining the depth image and camera parameters to calculate the 3D grasping posture, it avoids the blindness and category dependence of traditional methods in complex, multi-object, and similar object scenes, significantly improving the accuracy and efficiency of grasping.

The invention belongs to the field of unintentional visual blindness analysis, and particularly relates to an unintentional visual blindness-based significance feature intelligent analysis method and system, and the analysis method comprises the following steps: S1, defining an attention task and an attention set: selecting the attention task needing to be completed by an observer, and determining the attention set established by the observer according to the task demand; s2, controlling stimulation features: determining features of the unexpected object, and controlling saliency and similarity of the unexpected object, so that quantitative separation and interaction analysis of the saliency features and the attention set are realized, the analysis precision of an unintentional visual blindness mechanism is improved, a dynamic experiment normal form with high ecological efficiency is constructed, and the method is suitable for popularization and application. And the generalization ability and engineering application value of a research result are enhanced, a perception rate-task performance double-index evaluation system is established, multi-dimensional intelligent diagnosis of attention failure is realized, an iterative intelligent analysis framework is proposed, and cross-scene migration and continuous model optimization are supported.

A method, system and / or spectacle eyewear device for modifying the color vision of a person while viewing a color image emitted in linearly polarized light by a display device includes a first lens and a second lens, wherein the lenses each include a color-selective partial polarization filter and the polarization axes the filters are orientated non-parallel to each other and are configured so that a person experiences binocular rivalry due to spectral binocular disparity with respect to the polarized light emitted by the display device. In some variations the polarization axes of the filters are oriented in such a way that the intensity of binocular rivalry is maintained for rotations of the polarized light and / or display device by 45 degrees and by 90 degrees. In some variations the lenses appear substantially identical when viewed in non-polarized light. In some variations the person has color blindness or color vision deficiency.

This invention relates to a method, apparatus, storage medium, and system for testing the illuminance of luminaires. The method includes: obtaining the total angle 2θ of the luminous intensity of a luminaire diffuser plate at a specific percentage peak luminous intensity; obtaining the critical angle of the luminaire diffuser plate at the current peak luminous intensity for illuminance level A or AA according to the diffuser plate diffusion characteristic formula; and comparing the total angle 2θ of the luminous intensity with the critical angle to determine whether the current luminaire diffuser plate meets the illuminance level A or AA. By comparing the total angle of the luminous intensity with the critical angle, the level of the luminaire diffuser plate can be quickly evaluated, solving the problems of existing luminaire rating methods wasting a lot of time, manpower, and resources, and having a high degree of blindness.

Interpretation of images has a variety of applications. For instance, medical image diagnostics such as glaucoma remains one of the leading causes of irreversible blindness, its timely detection being imperative to avoiding permanent visual impairment. Conventionally, the sole focus on increasing the accuracy of predictions has resulted in a lack of trust due to the black box nature of such models. Present disclosure provides systems and methods that implement a conditional generative model along with a classifier that enable learning of class-specific prototypes, which capture the general characteristics or concepts of the pathology, and then use the actual visualized prototypes in the decision-making process by computing the similarity between them and the query image, as a result revealing the underlying model's reasoning process.

Systems and methods for stereoscopic chromatic system wavelength contrasting are provided. A system comprises two filters, for filtering different wavelengths in each eye to reduce metamerism caused by color-blindness without introducing new metamers. The system may be implemented as a pair of glasses which may also be corrective, as contact lenses which may also be corrective, as ocular implants or in a virtual- or augmented- reality system. Additionally, a surgical procedure is contemplated, wherein a semi-transparent hologram is implanted in the eye to filter the colors in the eye's visual field. A method for stereoscopic chromatic wavelength contrasting is described. Over time, the method may be used to reduce metamerism without introducing new metamers. The method may further be used to assess perception of color using the systems described herein.

In various examples, methods and systems are provided for determining, using a machine learning model, one or more of the following operational domain conditions related to an autonomous and / or semi-autonomous machine: amount of camera blindness, blindness classification, illumination level, path surface condition, visibility distance, scene type classification, and distance to a scene. Once one or more of these conditions are determined, an operational level of the machine may be determined, and the machine may be controlled according to the operational level.