26 results about "Visual distance" patented technology

The utility model discloses electronic equipment, and relates to the technical field of electronics, the electronic equipment comprises a case assembly, a push-pull assembly and a screen, the push-pull assembly comprises a push-pull guide rail and a moving part, the push-pull guide rail is arranged on the case assembly, the moving part is slidably arranged on the push-pull guide rail and can move along the extension direction of the push-pull guide rail, the screen is arranged on the moving part, and the push-pull guide rail is arranged on the case assembly. The electronic equipment can move along with the moving part along the extension direction of the push-pull guide rail, so that position adjustment is realized, and the screen is electrically connected with the case assembly through a cable, so that information in the electronic equipment is displayed in a visible form for a user to watch. According to the electronic equipment disclosed by the invention, the position adjustment of the screen relative to the case assembly is realized through the arrangement of the push-and-pull assembly, so that the use requirements of a user on the screen under different sight distances can be met; in the adjusting process, only the screen needs to be moved, the case assembly does not need to be moved, the visual distance between the screen and a user can be conveniently adjusted, and the flexibility of screen position adjustment is improved.

The invention discloses a screen shooting image moire quantification method and device and a storage medium, which are used for improving the compensation precision of a display screen. Acquiring a sub-pixel unit image of the display screen to be tested; performing brightness compensation processing on the sub-pixel unit image to generate an expected brightness compensation image; generating a compensation graph frequency spectrum amplitude image according to the brightness compensation image; generating a stripe frequency band sensing image according to the visual distance and the pixel pitch corresponding to the target color channel; carrying out region division on the frequency spectrum amplitude image of the compensation graph; standard deviations of the elliptical region and the plurality of elliptical ring regions are calculated, and a region standard deviation set is generated; filling a blank image with the standard deviation in the regional standard deviation set to generate a first elliptical ring standard deviation image; performing frequency domain filtering on the first elliptical ring standard deviation image by using the stripe frequency band sensing image to generate a first frequency domain filtering image; and generating a first moire quantization value corresponding to the brightness compensation image according to the compensation image frequency spectrum amplitude image and the first frequency domain filtering image.

The present application relates to the technical field of holographic imaging, and particularly relates to a holographic imaging information display structure. The technical scheme comprises a protective shell, an imaging mechanism and a locking mechanism, the locking mechanism comprises an explosion-proof protection plate, the bottom of the explosion-proof protection plate is clamped with the protective shell, the top of the explosion-proof protection plate is provided with an upper clamping groove, and the inside of the protective shell is slidably connected with a snake bone hose. The present application prolongs the overall length through the symmetrically arranged protective frame, presents an infinite extension tunnel vision, forms a visual distance difference between the image and the tunnel space behind the image, presents a visual effect of floating image display, and the transparent OLED display screen used by the protective shell is a transparent screen, so that the real space behind the screen can be seen through the image on the screen, the effect of floating image display can be further strengthened, the shadow part of the protective frame shields the display screen, and sunlight is prevented from being irradiated on the display screen.

The application discloses a multi-source sensing-based anti-collision early warning system for power distribution network construction machinery, and relates to the technical field of image analysis, which comprises the following steps: obtaining laser radar point cloud data and camera image data, obtaining laser radar distance and visual distance respectively, and performing consistency determination; when there is inconsistency, determining the reference sensor and the sensor to be adjusted by analyzing the visual recognition influence value and the radar response influence value, performing dynamic parameter adjustment on the sensor to be adjusted, obtaining the target distance based on the re-measured distance value and the reference measured distance fusion, thereby constructing a dynamic envelope volume, calculating the net safety distance, and outputting an anti-collision early warning signal, which effectively solves the problem that multi-source sensing data deviates and is inconsistent under complex environmental interference in the prior art, resulting in a decrease in distance detection reliability and affecting anti-collision early warning precision.

A method and system for locating defects in cable-stayed bridges based on image recognition is disclosed, relating to general image data processing or generation. In this method, the spiral features of the cable-stayed bridge in consecutive video frames are extracted, and a sequence of equally spaced virtual nodes is generated by combining these features with a reference pixel spacing. The cumulative pixel displacement of the current frame is obtained by matching the translation differences between virtual nodes in adjacent frames. When a defect is identified, the intra-frame pixel offset of the defect relative to the first virtual node is calculated. Finally, the cumulative displacement and the intra-frame offset are added to obtain the total pixel coordinates of the defect, and calibration parameters are used to convert them into absolute positioning coordinates in physical space. This application aims to suppress missed and false detections during image feature extraction, reduce accumulated errors in visual distance calculation, and thus improve the accuracy of locating cable-stayed bridge defects in physical space.

The invention discloses a visualization method, device and equipment for monitoring data in a machining process and a medium, and relates to the technical field of precision manufacturing, and the method comprises the following steps: obtaining coordinate data of a cutter and machining monitoring data in a workpiece cutting process; performing data fusion of the coordinate data and the processing monitoring data based on real-time stream processing and real-time linear interpolation of historical data to obtain fused data; constructing a three-dimensional scene of the workpiece cutting process based on a finite element network, and putting the fusion data into the three-dimensional scene; and according to the three-dimensional scene, the fusion data in the view cone is rendered, and the rendering depth is determined according to the fusion data and the visual distance of the user. According to the method, the physical state of the cutter in the cutting process can be reproduced in real time, omnibearing visualization of the machining process in the three-dimensional angle and the stress aspect is achieved, then the real-time visualization monitoring effect of the numerical control machine tool machining process is achieved, and networking and informatization development of the numerical control technology is promoted.

The application relates to the technical field of substation operation, and discloses a substation visual distance measurement method, system, device and medium, the method constructs a real-time dense point cloud model of each sampling point through a multi-view image sequence of a target monitoring area at continuous sampling points, so that the real-time and authenticity of the dense point cloud model are ensured, dynamic target segmentation is carried out on scene point clouds of the real-time dense point cloud model, point cloud clusters of dynamic targets can be accurately extracted from a complex substation background, the continuous three-dimensional motion trajectory of the dynamic target is obtained through cross-frame association and state estimation of the dynamic target, the robustness of target identification and tracking is significantly improved, distance measurement target tracking loss or drift is avoided, and the spatial distance between the dynamic target and a preset distance measurement observation point is solved in real time by using the three-dimensional motion trajectory of the dynamic target, so that the distance measurement precision is improved, and the false detection rate and the safety distance misjudgment rate are reduced.

The invention discloses a target detection tracking method based on vision and intelligent identification, and the method specifically comprises the following steps: S1, installing a high-definition near-infrared camera on a sailing ship, and carrying out the real-time collection of surrounding video images, and obtaining the video image data; s2, preprocessing the acquired video image data, and processing the video image data frame by frame; s3, performing target detection and recognition on the preprocessed video image data based on a deep learning algorithm to obtain a target recognition result; and S4, according to a target identification result, carrying out courtship calculation on the detection target according to the confidence coefficient, marking the detection tracking target according to a calculation result, and pushing and displaying a detection tracking result. The high-definition near-infrared camera is adopted for video image acquisition, information acquisition in daytime and night environments is supported, the visual distance is far beyond the visual range of human eyes, the input information amount is greatly increased, and sailing personnel can conveniently take relevant measures in time according to emergencies.

The invention relates to test equipment for testing the display degree of a test sample with an adjustable visual field distance. The test equipment comprises a darkroom experiment cavity defined by a box body and a cover body, a light source, a sample mounting module and an illuminometer are arranged in the box body; an observation assembly for observing the display degree of the to-be-detected sample is rotationally arranged on the box body; a short-distance test mode and a long-distance test mode are arranged in the box body; an adjusting module for adjusting the visual field distance between the sample mounting module and the observation assembly is also arranged in the box body; the test equipment is ingenious in design, provides a short-distance test mode and a long-distance test mode, can meet the requirements of different test standards and test distances, and improves the flexibility and the application range of the test equipment. The visual field distance between the sample installation module and the observation assembly is adjusted through the adjusting module, and the observation conditions of people for the emergency lighting lamp at different distances in actual use can be simulated more truly.

The invention relates to an infrared image parallel defogging method based on a GPU, and the method comprises the steps: S1, constructing a dark channel fog light image with an infrared image as an input, estimating the transmittance of a scene, and obtaining a GPU transmittance image; s2, taking the infrared image as a guide image, performing guide filtering optimization on the GPU transmissivity image, and outputting a GPU refined transmissivity image; s3, the GPU refinement transmissivity image passes through an atmospheric scattering model to obtain a preliminary defogging image; s4, adjusting a contrast limit parameter according to the estimated scene transmissivity, and enhancing the preliminary defogged image by using a contrast limit adaptive histogram equalization method to obtain an infrared enhanced image; and S5, designing a kernel function by using a GPU parallel language, and executing the processing processes of the steps S1 to S4. According to the method, the real-time requirement of infrared video processing can be met, and meanwhile, the resolution and the visual distance of an infrared image can be improved.

The application relates to a highway suitability evaluation method for an automatic driving vehicle team, and belongs to the field of road traffic control. The method obtains basic information of an evaluation highway section, traffic flow information, automatic driving vehicle team information and automatic driving and traditional manual driving interactive vehicle information as input information, adopts a virtual test method, calculates the available visual distance of the automatic driving vehicle team and the interactive vehicle under the obtained traffic flow and the automatic driving vehicle team formation scheme, constructs a visual distance safety failure function function of the automatic driving vehicle team and the interactive vehicle according to a demand visual distance model and a structure reliability theory, calculates a visual distance safety failure probability, and finally determines the highway section suitability evaluation result for the automatic driving vehicle team according to the visual distance safety allowable failure probability of different levels. The application can efficiently and safely quantitatively evaluate the suitability of the automatic driving vehicle team on the evaluation highway section, and identify dangerous sections with insufficient visual distance of the automatic driving vehicle team.

Disclosed are an apparatus and method for learning temporal distance-aware representations and method, and the apparatus includes: an initialization unit configured to initialize a buffer where a goal-conditioned policy, an exploration policy, visual distance-aware representation, and experience data for learning are stored; a learning execution unit configured to set a goal based on a Temporal Distance-aware Representations (TLDR) reward in a current episode, and determine a new state and action data through execution of the goal-conditioned policy and the exploration policy to reach the goal; a policy learning unit configured to learn the goal-conditioned policy based on experience of reaching the goal, and learn the exploration policy based on a visual distance to the goal; and a visual distance-aware representations learning unit configured to learn the visual distance-aware representations by encoding a visual distance between the states based on constraints.

The invention discloses a detection device. A reference sighting mark chart and a reference vision value conversion ruler are made by setting a reference sighting mark with a fixed size. A plurality of reference vision values and visual distance values can be measured at the same time by using the reference sighting mark chart and the reference vision value conversion ruler. The reference vision value is a universal five-minute vision value; the visual distant vision value is a direct recorded value of the length value of the distant vision. By applying the detection device, two types of visual values with sufficient quantity can be provided at the same time, the precision and intuition of the visual distance ability detection value are improved, and the higher requirements of visual examination of children and adolescents on the visual measurement range and the recognition of tiny visual change are fully met.

The application particularly relates to a kind of near distance multi-target fast deformation monitoring methods based on small aperture MIMO radar, high azimuth resolution two-dimensional imaging of multiple azimuth adjacent targets is realized by discrete fourier transform combined with MUSIC algorithm, and accurate positioning of multi-target is completed;Secondly, the mutual interference between target side lobe is suppressed using APES filter, and based on the target distance and azimuth information obtained in the previous step, the accurate recovery of target phase is realized;Finally, the time difference interference method is used to accurately estimate the small deformation of target visual distance.The space smoothing (FBSS) idea is introduced into the two-dimensional imaging algorithm, which effectively suppresses the coherent signal interference and realizes high azimuth resolution two-dimensional imaging in complex deformation monitoring scene.

The application discloses a live-line state sensing and early warning system applied to a power transmission line of an unmanned plane, comprising a multistage live-line state identification module, a single-chip microcomputer control system, a DC-DC module, a visual distance-exceeding prompting module and an unmanned plane operation platform; the multistage live-line state identification module, the single-chip microcomputer control system, the DC-DC module and the visual distance-exceeding prompting module are all integrally packaged on the unmanned plane operation platform.The application has the beneficial effects that: through the cooperative work of the multistage live-line state identification module and the single-chip microcomputer control system and the setting of multistage voltage thresholds, three states of no electricity, induced live line and power frequency live line can be clearly distinguished, thus accurate decision basis is provided for operation and maintenance personnel, safety accidents or unnecessary power cut caused by misjudgment are avoided, and the reliability and safety of detection are remarkably improved.

The present application relates to the field of ophthalmology, biomedical engineering and health information technology, and particularly relates to a myopia dynamic prediction and intervention evaluation method and system fusing physiological parameters and behavior visual distance, an electronic device and a storage medium, comprising collecting age, refractive state and eye use time distribution of a target individual at multiple preset visual distance levels; calling a preset age-myopia progression group benchmark model to obtain an annual progress reference value corresponding to the age; calling a preset visual distance-adjustment lag relative risk coefficient model to calculate an individual comprehensive adjustment lag load coefficient K based on the eye use time distribution; predicting the natural development trajectory of the individual based on the annual progress reference value and the comprehensive adjustment lag load coefficient K; simulating at least two intervention scenarios to generate comparative development trajectories; and outputting a comparison report containing the natural development trajectory and at least one post-intervention trajectory. The present application realizes accurate quantitative prediction of myopia risk.

The present application relates to model management, in particular to a three-dimensional model management method and system based on unmanned aerial vehicle and grid technology, model modeling: the latitude and longitude range is calculated by extracting the Exif information of the photo, and grouping is carried out according to the grid code, the oblique photography modeling is completed, the model is cut according to the grid boundary line, and the model and model auxiliary information are stored; model updating: the grid of the area needing to be updated is selected, the corresponding route is generated, the unmanned aerial vehicle multi-angle aerial photo is taken, the model is modeled, and the model and model auxiliary information of the grid of the area needing to be updated are stored and updated; model rendering: the underlying nodes are constructed and the adjacent grids are merged to form the bounding volume, the grid boundary line is converted into the node content, the model data is taken as the sub-node and the visual distance precision is configured, the rendering load is optimized through hierarchical merging and LOD simplification; the present application can overcome the defects that it is difficult to divide the unmanned aerial vehicle aerial survey model into spatial structure, automatically update and maintain and efficiently render and display.

A system is provided.SOLUTION: A system, comprising: sensor means for measuring a viewing range of a user in real time; communication means for transmitting the measured viewing range to a server; AI algorithm means on the server for calculating vision correction information based on the transmitted viewing range information; and lens control means for automatically adjusting a lens based on the received vision correction information.SELECTED DRAWING: Figure 1

The application provides an auxiliary driving control method and device based on visual distance detection. The method is applied to a vehicle equipped with an image acquisition device and supporting an auxiliary driving function, and comprises the following steps: acquiring a road image collected by the image acquisition device for a current road, and determining a maximum visual distance of the vehicle at a current time based on the road image, when the vehicle starts the auxiliary driving function; determining a minimum safe recognition distance of the vehicle at the current time according to road information of the current road and current driving information of the vehicle; and degrading or closing the auxiliary driving function at least when the maximum visual distance is not greater than the minimum safe recognition distance.

The invention discloses a voiceprint face dynamic binding method and system based on sight distance and listening distance fusion, and relates to the technical field of computer vision and voice signal processing. The method comprises the following steps: synchronously acquiring a video stream and an audio stream, detecting a plurality of faces from the video stream and acquiring visual distances of the faces, and determining a candidate face region for pronunciation and a lip movement starting timestamp through lip movement detection; performing sound source separation on the audio stream to obtain candidate voiceprint fragments and voiceprint starting timestamps thereof; the candidate face areas and the candidate voiceprint segments are combined pairwise to construct candidate pairs, and for each candidate pair, the auditory distance is calculated according to the lip movement and voiceprint starting time difference in combination with the sound velocity; and determining a binding pair from all candidate pairs by comparing a difference value between the visual distance and the auditory distance in each candidate pair, thereby realizing dynamic association between the voiceprint and the human face. According to the method and the device, the voiceprint of the speaker and the corresponding face can be dynamically bound accurately in real time under the condition that a binding model does not need to be trained in advance.

The invention provides an intelligent layout optimization method and device for image labels, equipment and a medium. The method comprises the following steps: acquiring an original image containing part labels, positions of the labels and text information of the labels; determining a blank area in the image; determining the size of a rectangular frame of the horizontal layout of the annotation information based on the annotation information of each mark number of the image; determining that the periphery of the mark number can accommodate a corresponding rectangular frame and an initial occupation frame which is closest to the position of the mark number by taking the mark number as a center point according to a distance minimization principle; and determining the distance from the label position to the boundary of the initial occupation frame as a search radius, and searching an optimal information layout area which can accommodate the rectangular frame and has the shortest distance from the frame of the rectangular frame to the label position along the search radius according to a preset angle search step length and based on the search radius and a depth-first heuristic search algorithm. The visual distance between the label and the description text is shortened, the relevance between the label and the description text is enhanced, and the understanding efficiency and readability of the image are improved.

The invention provides a monocular depth estimation-oriented multi-view and complex environment robust confrontation camouflage generation method and system, and a storage medium. The method comprises the following steps: S1, scene data acquisition: acquiring forward image data in a vehicle driving process; step S2, adversarial texture rendering: step S3, multi-line-of-sight image acquisition: randomly obtaining different angles, distances and offset parameters, obtaining corresponding camera positions through a transformation function, and obtaining a plurality of object images with different angles, different distances and different offsets and corresponding masks by using a differentiatable renderer; s4, complex physical domain environment enhancement; S5, confrontation loss: constructing a confrontation loss function; and S6, multi-view joint optimization is carried out. The method has the beneficial effects that the limitation that the target detection model is difficult to directly migrate to the regression task in the existing method is overcome, and the multi-view robust countermeasure attack under the complex physical domain of the texture sensitive model such as the MDE is realized.

Embodiments of the present application disclose a naked-eye three-dimensional interaction method, device and computer equipment. The method comprises the following steps: determining at least one three-dimensional virtual object corresponding to a target preset naked-eye three-dimensional interaction scene, and determining initial display parameters corresponding to the at least one three-dimensional virtual object; controlling the at least one three-dimensional virtual object to perform motion display in the target preset naked-eye three-dimensional interaction scene according to the initial display parameters, so as to generate a naked-eye three-dimensional picture corresponding to the at least one three-dimensional virtual object; obtaining interaction feedback information generated when a user interacts with the at least one three-dimensional virtual object according to the naked-eye three-dimensional picture; generating updated display parameters corresponding to the at least one three-dimensional virtual object according to the interaction feedback information, and controlling the at least one three-dimensional virtual object to perform motion update display in the naked-eye three-dimensional picture based on the updated display parameters. In this way, the user watches the three-dimensional virtual object performing motion display in the naked-eye three-dimensional picture and interacts with the three-dimensional virtual object, so that the improvement adjustment of the visual distance can be realized, and the visual fatigue can be relieved.

The invention provides a power distribution room complex sight distance human body wrist tracking method based on a single commercial millimeter wave radar, and belongs to the technical field of signal detection. The method comprises the following steps: firstly, starting a radar MIMO function, and reconstructing an original signal into a three-dimensional structure; then, through an LSE-BBSR method based on least square estimation, body-background components with strong interference are eliminated from the radar signals by using a pre-acquired pure body-background signal spectrum, and arm signals embedded with wrist position information are purified; then, inputting the purified signal into a CE-GCrossViT model integrated with a multi-scale convolution word coding module and a global cross attention mechanism, so as to estimate a two-dimensional coordinate of a wrist relative to a screen cabinet plane; and finally, smoothing the trajectory by using a Butterworth filter. According to the method, the technical problem that the wrist of the human body is difficult to track in a non-contact and high-precision manner in a complicated NLOS environment of a power distribution room is solved, visual equipment or wearing of a sensor is not needed, and excellent robustness and tracking precision are shown under LOS and NLOS conditions while privacy is protected.

The invention discloses a site selection planning method based on visual field analysis, and relates to the technical field of site selection planning. According to the method, in a visual field analysis link, a virtual sight line is emitted from a site selection candidate point to each grid of a target area to generate a visual field grid map, and a fishing net range is determined according to a predetermined constraint condition and the candidate points are screened; the visual performance index of each candidate point is determined by calculating multiple indexes including the visual rate, the average intervisibility distance and the intervisibility target ratio, multi-index comprehensive evaluation is more comprehensive and accurate, and the problems that in the prior art, site selection evaluation is not comprehensive enough, only related indexes of a single visual field are concerned, multiple factors influencing site selection are not comprehensively considered, and the site selection evaluation accuracy is poor are solved. And the actual condition of the site selection point is difficult to accurately evaluate.

The invention relates to a sight distance evaluation system and method based on a real three-dimensional road model, and the method comprises the following steps: collecting and preprocessing live-action three-dimensional data, and generating a static three-dimensional road surface model; constructing a parameterized model library, translating and lifting a lane center line along a normal vector direction of a road surface by utilizing a Frenet coordinate system principle, and generating a viewpoint track and a target point track; constructing a KD-Tree spatial index for the obstacle point cloud in the static three-dimensional pavement model, traversing each point on a viewpoint track, transmitting a virtual sight line vector to a target point track sequence within a preset parking sight distance in front of the point, and obtaining a farthest target point distance of which the sight line is continuous and not shielded through collision judgment to obtain an available sight distance of each position; the available sight distance is compared with the recognition sight distance in the sight distance reference system to perform standard conformity judgment, and the available sight distances of multiple vehicle types are combined to perform traffic lane intervisibility continuous judgment and vehicle type sensitivity risk judgment, so that the evaluation precision can be improved, and the risk evaluation dimension can be expanded.