392 results about "Visual field loss" patented technology

The invention discloses a tunnel entrance dynamic light and signal control system based on a visual algorithm, relates to the technical field of intelligent manufacturing control, and is used for solving the problem of poor light control when the visual field of a tunnel entrance suddenly changes. According to the method, a dynamic sensing mechanism based on visual feature understanding and multi-strategy linkage is constructed, continuous monitoring and intelligent control over the driving visual adaptation state of the tunnel portal are achieved, multi-dimensional visual features are extracted through image collection and preprocessing, visual risk scores are generated, visual field sudden change and traffic abnormity are recognized in combination with a sliding window, and the driving visual adaptation state of the tunnel portal is obtained. A risk response instruction is output, illumination adjustment and signal linkage control are driven, then vehicle behavior continuity, parking probability and blind area shielding factors are fused, speed limiting, guiding or warning signals are dynamically issued, and visual model fine adjustment and strategy updating are performed based on execution feedback. And finally, illumination and signal adaptive optimization under cross-time and multi-environment conditions is realized in combination with a control scene library, and the traffic safety and control intelligence level are improved.

The invention provides a blood cell image recognition method based on a multi-scale Vision Transform model, and the method comprises the steps: constructing a multi-scale feature extraction architecture, combining the global modeling capability of a Transform network, carrying out the parallel processing of Patches of different sizes, and fusing the multi-scale information, thereby achieving the recognition of a blood cell image. The cells in the blood smear can be comprehensively perceived from microscopic details to macroscopic contexts, so that not only is the adaptability of the model to cell size difference and morphological diversity enhanced, but also the recognition stability under the conditions of cell overlapping and dyeing difference in a complex visual field is improved; the accuracy and calculation efficiency of cell classification and counting are effectively improved, and full-process automation from visual field quality evaluation to automatic cell recognition and counting is achieved.

The embodiment of the invention discloses a visual field tracking method and device, and the method achieves the differential weight fusion of an image through a first infrared image set, greatly reduces the influence of a tear film, a lens scratch, a cosmetic contact lens line and other interference factors, improves the recognition accuracy of a cornea reflection point, and improves the sight tracking precision. The combined methods of FFT confidence analysis, RANSAC algorithm verification, Kalman filtering, median filtering and the like are adopted, interference of pseudo spots and dynamic noise is effectively reduced, and the stability and reliability of cornea reflection point detection are remarkably improved. The self-adaptive enhancement technology and the ROI accurate extraction method are adopted, so that the method can better adapt to eye feature differences of different users and various complex actual environments and illumination conditions, and the universality of the visual field tracking device is enhanced. Differential fusion, feature recognition, confidence verification and filtering processing are automatically carried out in the whole process, and manual intervention is not needed.

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 provides a method for determining the insertion guiding direction of an endoscope and the endoscope, and relates to the technical field of endoscope control, and the method comprises the steps: obtaining a visual field image, a reference position and a preset path, responding to entrances of two branch cavities existing in the visual field image, and determining the insertion guiding direction of the endoscope; and determining a first spacing distance and a second spacing distance between the reference position and the central position of the target branch at different moments, determining target regulation and control information generating forward influence on the spacing distances based on the endoscope regulation and control information, the first spacing distance and the second spacing distance, and displaying the target regulation and control information. Through the first spacing distance and the second spacing distance, whether the endoscope regulation and control information has a forward influence on the spacing distance can be determined, and the target regulation and control information having the forward influence on the spacing distance is displayed, so that a user can adjust the endoscope insertion part and the endoscope lens based on the target regulation and control information. Therefore, the endoscope lens can accurately capture the image corresponding to the lung bronchus focus.

A brain organoid containing optic vesicles generated based on H9 induction and an eye-brain fusion culture method thereof are provided. H9 embryonic stem cell induction is used to generate a brain organoid containing optic vesicles with primitive visual field. Based on an established optic vesicle brain organoid culture system, microscopic imaging is combined with specific marker antibodies related to early retinal development and photoreceptor cell maturation to structurally and functionally identify the brain organoid containing optic vesicles.

The invention discloses a scanning positioning method and system based on an ultrasonic image robot and a medium, and the method comprises the steps: obtaining coordinate information of a plurality of body surface points of a target object, and determining a scanning path of a mechanical arm according to the coordinate information of the body surface points; controlling the mechanical arm to move according to the scanning path and acquiring a corresponding ultrasonic image by using the ultrasonic probe; performing visual field classification on the ultrasonic image by using a pre-constructed classification segmentation model to obtain a visual field evaluation result, and performing tumor segmentation on the ultrasonic image to obtain a tumor segmentation result; calculating an evaluation score of the ultrasonic image according to the visual field classification result and the tumor segmentation result, wherein the evaluation score is in positive correlation with the excellent level of visual field classification and the tumor proportion; and determining the ultrasonic image with the highest evaluation score in all the ultrasonic images obtained by moving the mechanical arm according to the scanning path as the optimal ultrasonic image, and determining that the optimal ultrasonic image corresponds to the optimal ultrasonic section. The optimal ultrasonic section can be automatically, objectively and accurately determined.

The invention discloses a calibration board and wind tunnel feature point-based binocular system wind tunnel coordinate system calibration method, and belongs to the field of aerodynamic tests. Comprising the following steps: reconstructing surface mark points of a calibration plate by photogrammetry outside a hole and establishing a local coordinate system to obtain coordinates under the local coordinate system; a binocular system is arranged in the hole, and binocular internal and external parameters are calibrated through a special cross calibration ruler; arranging a plurality of circular feature mark points on the surface of the hole wall with overlapped visual fields of the binocular system; the calibration plate is correctly placed according to the geometrical relationship, so that each vector of the local coordinate system is parallel or perpendicular to an incoming vector, and the binocular system reconstructs global points of the calibration plate and registers the global points to achieve alignment of a measurement coordinate system of the binocular system and a wind tunnel coordinate system; reconstructing a three-dimensional coordinate of the fixed point in a wind tunnel coordinate system through a binocular system; and in a subsequent test, adopting resection to realize the recalibration of the wind tunnel coordinate system. According to the invention, high-precision and high-efficiency alignment requirements of a measurement coordinate system and a wind tunnel coordinate system of a binocular system can be met.

The invention belongs to the field of passenger car blind area early warning, and particularly discloses a passenger car blind area early warning method, system and device and a storage medium, a visual field missing area caused by vehicle body posture change is recognized by comparing visual field coverage areas of a vehicle under a straight-going working condition and a turning working condition, a dynamic blind area can be accurately recognized, and the passenger car blind area early warning efficiency is improved. The problem of blind area omission caused by static modeling is avoided, the comprehensiveness and accuracy of blind area recognition are ensured, and meanwhile, when the visual field missing area is recognized, real-time recognition and motion trail capture of a dynamic target are carried out in an adjacent visible area focused on the periphery of the visual field missing area. And early warning information is generated in time based on potential conflict analysis between the captured target movement track and the vehicle driving track, so that the early-stage discovery capability of potential conflicts is improved, a driver has more time to take danger avoiding measures, traffic accidents caused by blind areas are effectively prevented, and the safety of pedestrians, non-motor vehicles and other vehicles is guaranteed.

The invention relates to the technical field of intelligent visual detection, in particular to visual field detection equipment, system and method based on extended reality (XR), and the method comprises the steps that an image feature extraction module collects image data in real time, extracts features and eliminates optical distortion; the fixation deviation correction module analyzes eye movement data in real time, quantifies fixation deviation and triggers visual prompt and correction; the adaptive stimulation generation module dynamically encrypts to generate a test point image and adaptively adjusts the test point image according to visual field analysis and test requirements; the dynamic adjustment image module predicts and optimizes a test point presentation sequence according to image features and fixation points, automatically encrypts a high-probability defect area and quickly jumps to a key screening area; and the visual field defect identification module extracts image features, calculates the defect probability of each region in real time by using a Bayesian network in combination with subject response data, and locates a high-risk region. The system provides an efficient and accurate visual field detection scheme through the synergistic effect of multiple modules.

The endoscope comprises an insertion tube, a tip part, a first bending control wire and a second bending control wire, and the insertion tube comprises a main body section, a first bending adjustment section and a second bending adjustment section which are sequentially arranged from the near end to the far end; the far end of the first bending control wire is connected to the first bending adjusting section; the far end of the second bending control wire is connected to the second bending adjusting section; the tip part is connected to the far end of the second bending adjusting section, and a camera is arranged on the tip part. According to the endoscope, the first bending adjusting section and the second bending adjusting section which can be bent independently are arranged on the insertion tube, the visual angle of the camera on the tip part can be adjusted through double-section bending adjustment, the visual field range which can be observed by the endoscope is wider, the operation of surgical instruments and the excision condition of diseased tissue can be better observed through the endoscope, and the operation efficiency is improved. And the surgical operation difficulty of surgical operators can be reduced to a great extent.

The utility model discloses a rapid mesopic vision dark adaptation function inspection device, which mainly comprises an eyeshade, a mesopic vision field component, a dark sighting mark component, a front cover and a head-mounted device, and is characterized in that representative parameters such as the maximum brightness of 17 cd / m < 2 >, the wavelength of 540-550 nm and the like are scientifically set during inspection; according to the method, the dark adaptation time after mesopic vision field stimulation can be accurately obtained, so that effective evaluation on the mesopic vision dark adaptation function is realized.

Described herein is a chin rest apparatus for a visual field system. The chin rest apparatus can include a base and at least one chin rest insert moveably coupled to the base and configured to be adjusted to one of a plurality of head turn angles and one of a plurality of head tilt angles. The plurality of head turn angles and plurality of head tilt angles can be associated with obtaining a visual field of a subject in the visual field system.

The utility model provides an adjusting tool for adjusting a prism assembly, and relates to the technical field of chip detection. According to the utility model, four groups of adjusting mechanisms are arranged in the adjusting tool, the position of the chip is adjusted by using the four groups of adjusting mechanisms, so that the chip is located at the central position of the visual field of the visual mechanism, and then the position of the chip is used as the adjusting reference of the prism assembly adjusting mechanism; the positions of the four prisms are respectively adjusted by using the four groups of adjusting mechanisms, so that the vision mechanism can respectively obtain images of corresponding side edges of the chip through the four prisms, and thus the position calibration of the four prisms is completed. And then the calibrated prism assembly is mounted on the five-surface detection mechanism, so that appearance detection can be directly carried out on the detected chip, the situation that the appearance detection of the chip is influenced by inaccurate positions of four prisms is avoided, and the detection precision can be improved.

The present application provides a method for analyzing the detection visual field of equipment, which relates to the technical field of equipment visual field analysis, and includes: based on a preset DEM resolution and the detection radius of the equipment, with the equipment as the origin, determining the number of detection lines of sight and the direction of each detection line of sight through a preset algorithm; within the theoretical maximum detection distance corresponding to the preset detection height, obtaining the maximum detection distance of each detection line of sight by searching, and calculating the position coordinates of the critical point corresponding to the maximum detection distance; connecting the critical points of each detection line of sight to form a surface to obtain the range of the equipment detection area corresponding to the preset detection height; within the preset detection distance, obtaining the maximum detection critical line of sight slope of each detection line of sight by searching, and thereby calculating the range of the equipment detection blind area height corresponding to the preset detection distance. The present application improves the efficiency of equipment detection visual field analysis and enhances the reliability of the visual field analysis results.

The invention concerns a device designed for eyesight examination, which can be applied in medicine, in particular in ophthalmology The device can be used for perimetry / visual field testing and also other parameters where tests are conducted by means of light stimuli displayed in front of the patient's eyes.

The invention discloses a visual monitoring method assisted by an AI image recognition algorithm in a transparent working sleeve under a spine endoscope, and relates to the technical field of medical instruments, and the method comprises the following steps: collecting a torque waveform, a perfusion pressure signal and a cavity pressure signal under a unified event time base line, constructing a resonance frequency band spectrum, and obtaining a resonance frequency band spectrum; calculating a resonance pressure index and extracting a phase evolution trajectory for liquid level distortion reconstruction; and under the constraint of the resonance pressure index and the phase evolution trajectory, recovering the liquid level phase, reconstructing a lens phase field in front of the camera, calculating a view distortion gradient, and determining a liquid level dynamic distortion core area. According to the method, a resonance dynamic map is constructed through multi-source data fusion, a liquid level potential field is reconstructed, a visual field distortion area is locked, artifacts are eliminated in combination with image feature recognition, perfusion control is reversely driven based on a reliable visual field state, and a closed-loop regulation and control strategy with time reversal gating and self-adaptive updating capacity is formed. And stable and intelligent control of the visual field in the operation is realized.

A method and apparatus for generating a visual field pattern which serves as a subjective test protocol to evaluate central vision using dynamic image generation to prevent the brain from filling-in to provide better results of patient feedback and reporting of locations of visual disturbance. This enables effective central vision testing to detect the presence of visual field disruptions including scotoma, visual-neurological perceptual effects such as filling-in, and Troxler fading. The present method and apparatus can be used for vision monitoring and self-assessment, and more particularly for monitoring vision for damage or disease to the macula or retina.

The invention relates to a visual training method, device and equipment based on a dynamic view field, and the method comprises the steps: obtaining detection data and a training time threshold value of a to-be-trained user, and the detection data comprises long-distance data, short-distance data and measurement precision; detecting the to-be-trained user according to the detection data to obtain vision data before training; determining training data according to the vision data; and according to the training data, carrying out distant view field and near view field alternate cycle training on the to-be-trained user until the duration reaches a training duration threshold, and completing visual training on the to-be-trained user. According to the visual training method based on the dynamic view field, vision data detected by a to-be-trained user is obtained to determine training data, and then the to-be-trained user is subjected to far view field and near view field alternate cycle training according to the training data and a training duration threshold value, so that the eyes of the to-be-trained user really move in the training process; therefore, the training effects of eye fusion image and focusing and diverging function adjustment are obviously improved.

A system may include a headset device comprising a display screen positioned proximate to, or within a viewable distance from a user's eyes. The headset device may be communicatively coupled to one or more processors. The system may cause the one or more processors to display a stimulus to a test subject (e.g., a patient), store in computer memory a response of the test subject to the displayed stimulus, analyze the response based on a location of the displayed stimulus, and provide feedback to the test subject based on the response and analysis.

The invention relates to the technical field of visual function diagnosis, and provides a visual function examination device based on eye movement tracking, a medium and computer equipment, the device comprises a data acquisition unit, an eye movement evaluation unit, a visual field evaluation unit and a comprehensive analysis unit, the data acquisition unit is used for acquiring visual function data of an examinee, and the comprehensive analysis unit is used for analyzing the visual function data of the examinee; the eye movement evaluation unit evaluates an eye movement function based on eye movement parameters in the visual function data; the visual field evaluation unit evaluates a visual field function based on visual field parameters in the visual function data; according to the application, objective sight drop points are used for replacing subjective keys, false negative and false positive are reduced, before typical defects do not appear in the visual field, early visual function changes can be prompted through eye movement parameter abnormity, auxiliary screening of early glaucoma and other diseases is achieved, and the visual function detection accuracy is improved. Meanwhile, the diagnosis accuracy is improved through double evidences of eye movement and visual field in the middle and late stages, and the sensitivity and specificity of visual function examination are remarkably improved on the whole.

The invention provides a vision-variable binocular eyeball mechanism, and relates to the field of robot mechanisms, the vision-variable binocular eyeball mechanism comprises a base and an eyeball mounting seat arranged on the base; two eyeball body modules are movably arranged on the eyeball mounting seat, each eyeball body module comprises an industrial camera, a main movement track and an auxiliary movement track, the main movement track and the auxiliary movement track are arranged on the eyeball body module, and the main movement track and the auxiliary movement track are arranged in a space orthogonal mode; each eyeball body module is correspondingly provided with a driving module; the driving module drives the first driving sliding block and the second driving sliding block to move, so that independent rotation of the eyeball body module in the pitching direction and the yawing direction is achieved. The robot has the beneficial effects that the steering engines are intensively fixed to the base, and a second-stage movable platform is not needed; the bushing is used as a sliding bearing set for dry friction to replace a rolling bearing, so that the structure is simplified; the modular design is adopted, parts are convenient to produce, and assembling is facilitated.

The embodiment of the invention provides a method and equipment for dynamically adjusting a motion control mode based on an intraoperative visual field environment, a medium and a program product, and relates to the field of intelligent medical treatment. The method comprises the following steps: acquiring an intraoperative view image and a preset basic force threshold value according to the tissue type of a to-be-operated site; calculating an intraoperative tissue real-time deformation rate based on the intraoperative view image, and calculating a real-time force safety threshold according to a preset basic force threshold and the tissue real-time deformation rate; receiving real-time contact force of the instrument and the tissue, comparing the real-time contact force with a real-time force safety threshold value, and if the real-time contact force is smaller than or equal to the real-time force safety threshold value, outputting an instruction of damping force in direct proportion to the real-time contact force; if the real-time contact force is larger than the real-time force safety threshold value, an emergency braking program instruction is output. According to the method, factors, such as tissue deformation and illumination change, which cause instability of the surgical field of view in the surgical environment are introduced, so that the environmental adaptability and dynamic adjustment of the field of view mechanism in the robot-assisted surgical operation process are improved.

The invention relates to the technical field of general image data processing or generation, in particular to a multi-view indirect immunofluorescence medical image classification interpretation method and system, and the method comprises the steps: mapping an ethanol view, a formaldehyde view and an HEp-2 view to a feature space, and converting into a feature sequence; performing position coding on the feature sequence to obtain position information; based on the feature sequence with the position information, modal identification information is added, and an identification feature sequence is determined; based on the identification feature sequence, executing multi-modal information fusion, and determining a multi-modal feature sequence; based on the multi-modal feature sequence, combining an attention mechanism to determine a long-distance dependency relationship and correlation between the data; and based on the attention mechanism model, outputting the probability of each category to execute classification interpretation. According to the method, the type of the anti-neutrophil cytoplasm antibody fluorescence model can be adaptively and comprehensively judged in combination with the characteristics of fluorescence brightness, forms and the like of different views, and interference existing in a single view is avoided.

The invention relates to a real-time eye identification and visual detection process control method, which comprises the following steps of: applying bitamporal edge disturbance stimulation in a visual field, inducing spontaneous dominant reaction of a dominant eye of a user, collecting perceptual response difference of a non-gazing area to the disturbance stimulation, and judging the current dominant state of the dominant eye; on the basis of micro-differential pressure distribution of different quadrant areas of eye sockets, speculating a visual attention gravity center in real time, and executing spatial geometric deformation on an ROI (Region of Interest) in a visual detection process, so that a detection area dynamically adapts to a gaze offset trend of a user; the method comprises the following steps: respectively constructing two physically independent visual detection links of a feature target strong discrimination process driven by a main visual eye and an environment contour weak confirmation process driven by an auxiliary visual eye, introducing a logic thermal impedance adjustment mechanism, and setting a buffer time window to absorb processing fluctuation caused by state switching; and dynamically matching a visual detection flow path by constructing a mapping relationship between the eye dominant frequency and the user intention type on the basis of statistical information of the dominant eye identification frequency.

A display region has a curved surface shape having upper and lower end portions disposed at positions closer to a visual field than a reference plane, and a central portion disposed at a position farther from the visual field than the reference plane. A first convergence angle difference between a convergence angle from the eye position to the upper end portion and a convergence angle from the eye position to a first point on the reference plane through the upper end portion, a second convergence angle difference between a convergence angle to the central portion and a convergence angle to a second point on the reference plane through the central portion, and a third convergence angle difference between a convergence angle to the lower end portion and a convergence angle to a third point on the reference plane through the lower end portion respectively fall within four milliradians.

Disclosed techniques evaluate the visual field of a patient's eye using deep learning techniques. A computer system obtains a plurality of cross-sectional scan images of a retina captured by an optical coherence tomography (OCT) device. The retina has an inner retinal layer. A retinal optical texture analysis (ROTA) map of the inner retinal layer is generated from the plurality of cross-sectional scan images. The ROTA map includes a plurality of pixels, and each pixel of the ROTA map corresponds to a respective optical texture signature value S providing information about tissue composition and optical density of the inner retinal layer at a respective retinal location. The computer system applies a machine learning model to process the ROTA map of the inner retinal layer to determine visual field sensitivity of the retina.

Provided is a composition for visual field defect disorders, glaucoma, light-induced ocular tissue damage and related disorders, which can be used as a food or drug for long-term administration, prevention, symptom relief and improvement. A composition comprising a triglyceride represented by the formula (I):(wherein R1, R2, and R3 are each a saturated fatty acid residue, and at least one of them is a pentadecanoic acid residue) as an active ingredient.

A binocular visual field (VF) testing system and a method employing spherical (non-Euclidean) geometric modeling and eye-tracking technology to generate cyclopean visual field maps are disclosed. The system projects dichoptic stimuli to each eye independently at controlled fixation distances and dynamically records vergence responses using eye tracking. A non-Euclidean spatial encoding model based on logarithmic spirals and Jacobian analysis is applied to the resulting binocular data, enabling three-dimensional topographic field mapping. This approach extends traditional monocular field testing by accounting for retinal curvature, binocular integration, and fixation depth effects, resulting in volumetric visual field models more representative of real-world spatial perception. The system includes hardware (BINOSCOPE) and software modules that implement real-time depth encoding, topological mapping, and boundary detection of peripheral visual fields.

The application discloses a kind of big visual field image side telecentric underwater visual docking imaging optical systems, the optical system includes in sequence: spherical cover window, front group lens, variable diaphragm, rear group lens and filter;Front group lens includes in sequence: front group first lens, front group second lens, front group third lens, front group fourth lens;Rear group lens includes in sequence: rear group first lens, rear group second lens, rear group third lens, rear group fourth lens;Variable diaphragm is located between front group fourth lens and rear group first lens;Object side imaging light beam is imaged on strobe camera target surface in sequence through spherical cover window, front group lens, variable diaphragm, rear group lens and filter.The application has big visual field, short focal length, variable F number and image side telecentricity and the like characteristics, clear imaging is realized by rear group focusing and variable F number, can be used for the close-range underwater visual docking recovery of cross-domain aircraft, ensure that imaging is clear during docking process, and the position solution error caused by image side focusing can be eliminated.