189 results about "Glare (vision)" patented technology

The invention discloses an optical performance detection system and method for a camouflage material, and relates to the technical field of camouflage material detection, and the system comprises a structure identification and illumination control module which is used for collecting a surface image of a camouflage material sample, identifying the surface structure of the sample, starting a full-spectrum light source, and simulating step-by-step illumination from weak light to strong light; carrying out RGB imaging based on the standard illumination; and the region division module is used for applying a superpixel segmentation algorithm to the image, automatically dividing sub-regions, performing hyperspectral reflectivity scanning on each region, synchronously acquiring a light intensity image in a polarization direction, calculating a Stokes vector and constructing a polarization enhanced image. According to the method, frequency domain quantitative analysis of microcosmic interference fringes and accurate mask extraction of polarization abnormal areas can be realized, optical exposure risks of camouflage materials under complex illumination and visual angle conditions are effectively quantified through multi-angle reflection sampling and scoring function modeling, and the detection precision, the area pertinence and the automation level are remarkably improved.

The invention discloses a container number tallying identification method, and relates to the technical field of container intelligent tallying. According to the technical key points, the method comprises the following steps: deploying a multi-modal sensing device, carrying out initial calibration, and pre-training an improved YOLOv7-tiny target detection model, a transformer-based cGAN character segmentation model and a lightweight CNN-transformer-capsule network integrated hybrid recognition model; through cooperative collection of multi-modal data of the multi-modal sensing device, the system can effectively integrate texture information of RGB images, a space structure of depth images and three-dimensional coordinates of point cloud data, the problem that traditional single visual recognition is affected by illumination, shielding and the like is solved, a self-calibration mechanism corrects space-time deviation of a sensor in real time, and the accuracy of recognition is improved. The system can still accurately extract container number characteristics in complex scenes such as strong light reflection, low illumination at night, character abrasion and the like.

The invention provides a rearview mirror control method, electronic equipment and a vehicle, and relates to the field of rearview mirror system control, and the method comprises the steps: in response to determining that the target brightness of an obtained front-view image is smaller than a first brightness threshold value, recognizing a light spot in an obtained rear-view image, determining the brightness of the light spot according to the image information of the rear-view image, and determining the brightness of the light spot according to the brightness of the light spot; determining the target brightness of the rearview image based on the brightness of the light spot; in response to the fact that the target brightness of the rearview image is larger than a second brightness threshold value, the reflection effect of the exterior rearview mirror is adjusted according to the target brightness of the rearview image based on the anti-dazzling function of the exterior rearview mirror; wherein the first brightness threshold value is smaller than the second brightness threshold value; according to the invention, the interference of strong light on the driving sight can be reduced, the response accuracy and adjustment efficiency of the anti-dazzling mode are improved, and the safety and comfort of driving in a complex scene are enhanced.

The invention relates to the field of three-dimensional vision measurement, in particular to an aluminum alloy CNC product defect detection method and system based on structured light scanning. The aluminum alloy CNC product defect detection system based on structured light scanning comprises an image acquisition and analysis module, a self-adaptive illumination control module, a point cloud reconstruction module, a defect detection module and a report generation module. According to the method, through texture direction perception and matrix type light source dynamic angle modulation, and in combination with a light intensity-wavelength self-adaptive scheme of saturated pixel grading, mirror surface glare of the aluminum alloy high-reflection surface is greatly reduced; in cooperation with multi-exposure gray scale weighted fusion, a stripe image which is uniform in contrast and free of overexposure can be obtained in single scanning; in the same scanning time, compared with a fixed illumination scheme, the point cloud integrity rate can be improved, and a more reliable three-dimensional data basis is provided for subsequent defect detection.

The invention relates to the technical field of brightness control, in particular to a welding machine screen display brightness control method and system. The method comprises the following steps: acquiring a welding machine screen image, environment perception data and a user face image; performing illumination intensity calculation on the environment perception data to generate environment illumination intensity data; performing glare analysis on the environment perception data through the environment illumination intensity data to generate environment glare influence data; performing environment perception brightness adjustment on the welding machine screen image based on the environment glare influence data to generate environment perception brightness adjustment data; performing visual perception feature analysis on the user face image based on the environmental perception brightness adjustment data to generate user visual perception feature data; and performing eyeball tracking on the user face image by using a computer vision technology to generate user eyeball tracking data. According to the invention, efficient and accurate brightness control is realized.

The invention, which relates to the technical field of light rail illumination, discloses an anti-glare interference light rail night driving illumination system comprising an environmental data acquisition module, a data preprocessing module, an intelligent analysis decision module, an illumination adjustment execution module and a feedback monitoring module. Through cooperative work of the environment data acquisition module, the data preprocessing module, the intelligent analysis and decision module, the illumination adjustment execution module and the feedback monitoring module, comprehensive perception and intelligent adjustment of the light rail night driving environment are realized, especially in the aspect of glare interference, the system can accurately identify a glare area, and the glare interference is reduced. The brightness, the color temperature and the light color of the lighting system are automatically adjusted, interference of glare on vision of a driver is effectively avoided, the risk of traffic accidents is reduced, meanwhile, the system can flexibly adjust lighting strategies according to different weather conditions and different driving road sections, it is ensured that the light rail can keep good lighting effects in different environments, and the lighting effect is good. And the safety of night driving is improved.

The invention discloses a stereoscopic vision optimization method and system for a naked-eye 3D large screen, and particularly relates to the technical field of naked-eye 3D vision optimizing.The method comprises the steps that environment illumination and audience positions are sensed in real time through multi-sensor fusion, and an environment light field model is established; glare crosstalk noise is predicted based on physical simulation, and self-adaptive suppression and compensation are carried out in combination with human eye visual sensitivity and image content features; a virtual camera is dynamically generated according to the real-time positions of the eyes of the audience, and a lightweight neural radiation field renderer is used for real-time re-rendering, so that motion parallax is realized; and finally, intelligently fusing the glare compensation layer and the perspective correction layer, coding and outputting to a screen. The system correspondingly comprises an environment perception module, a glare compensation module, a perspective rendering module and a fusion coding module. The naked-eye 3D large-screen display method effectively inhibits ambient light interference, improves the quality and immersion of a stereoscopic picture under different visual angles, and is suitable for naked-eye 3D large-screen display under outdoor and complex illumination environments.

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 provides an unmanned aerial vehicle detection method, system and product based on radio fusion vision. The method comprises the following steps: respectively extracting radio characteristics of a target radio signal and image characteristics of a target visual image; carrying out feature fusion on the radio features and the image features to obtain a fusion feature vector; inputting the fusion feature vector into a trained unmanned aerial vehicle detection model for target detection, and obtaining a target detection frame and unmanned aerial vehicle category information; and inputting the target detection frame and the unmanned aerial vehicle category information into a dynamic weight distribution model for weighted correction to obtain a final unmanned aerial vehicle detection result. Compared with a traditional method, the method has the advantages that through radio and visual feature fusion, complex electromagnetic interference and severe environment influences such as strong light, backlight and haze can be resisted, the signal confusion problem of single radio detection is avoided, the imaging limitation of single visual detection is made up, the multi-scene detection requirement can be effectively met, and the detection precision and reliability are improved.

The invention discloses a solder paste defect detection method based on machine vision, relates to the technical field of printed circuit board detection, and aims at the challenge of solder paste printing quality detection in superfine-pitch high-reliability manufacturing, high-precision three-dimensional point cloud data is collected and an attitude matrix is marked through laser triangle-grating interference dual-mode imaging and board micro-vibration sensing; constructing an adaptive reference surface based on the point cloud and real-time fitting warping curved surface parameters, executing local height remapping, and eliminating the influence of micro warping; calculating a warping composite slope index and a glare texture robust index by using the height matrix, and adjusting a confidence threshold of the boundary enhanced convolutional network to realize real contour segmentation of adjacent pads; dynamically updating imaging parameters, accumulating real scene samples, and optimizing the adaptive ability of the model; and cross-shift knowledge reuse is realized through the shared model library. According to the invention, the volume measurement consistency and the first pass yield of the ultra-fine pitch bonding pad can be improved, and the process debugging time is shortened.

The invention discloses a traffic behavior detection system based on visual identification, belongs to the technical field of visual identification, and solves the problems that overexposure is caused by strong backlight / switching inside and outside a tunnel and strong light, a camera is briefly blinded when a vehicle suddenly enters and exits the tunnel, and pedestrians or obstacles may be missed. Comprising a main vision unit, an auxiliary sensing unit, a polarization-intensity combined exposure control module, a space-time-spectrum tensor fusion module, a physical constraint target reasoning module and an anti-robustness enhancement module. And the main vision unit is connected with the polarization-intensity combined exposure control module. According to the system, a polarization high dynamic range camera of the main vision unit and a 4D millimeter wave radar and an event camera of the auxiliary sensing unit cooperatively collect data, exposure is dynamically adjusted to suppress overexposure, target tracking is optimized in combination with cross-domain spectrum feature fusion and physical constraint reasoning, model robustness is enhanced by using an adversarial sample, and target tracking accuracy is improved. And high-precision real-time detection and early warning of traffic behaviors in a strong backlight scene are realized.

The invention discloses multifunctional vehicle-mounted dimming glass and an intelligent regulation and control system thereof, and belongs to the field of new-generation information technology industries, and the multifunctional vehicle-mounted dimming glass is formed by compounding a first protective layer, a photovoltaic power generation layer, a thermal barrier and temperature control module, a dimming module, a transparent display layer, a starry sky top layer, a space expansion layer and a second protective layer, according to the system, based on the optical detection technology of the photoelectric sensing module, the system can accurately collect the intensity of light emitted by the light source in real time, the intensity of the light is finely compared with a preset strong light threshold value, and whether current light reaches the dazzling strong light standard or not is accurately judged through the rigorous comparison and analysis process; once dazzling strong light is judged, the control panel immediately starts an intelligent regulation and control mechanism, the light transmittance of the vehicle-mounted dimming glass is accurately and dynamically controlled according to the light intensity and a preset algorithm, and therefore it is guaranteed that a driver has a clear and interference-free view in all directions.

The invention discloses an extremely shallow water blue-green laser sounding dynamic refraction vision correction method, which belongs to the technical field of marine surveying and mapping and underwater detection, is used for laser refraction correction, and comprises the following steps: synchronously acquiring binocular images and inertial measurement unit attitude data, and generating a three-dimensional point cloud; according to a light spot area in the laser emission angle index point cloud, fitting a micro-tangent plane to obtain a water surface original normal vector; calculating a confidence coefficient weight according to the image texture definition, and iteratively calculating an optimal estimation normal vector based on the original normal vector and the weight; calculating a real incident angle according to the optimal estimation normal vector and the laser emitting direction; calculating the direction vector of the underwater refracted light according to the Snell's law; and calculating the underwater three-dimensional coordinates of the target point by combining the propagation distance of the laser in the air and the water and the emission origin coordinates. According to the method, the visual confidence is introduced, so that the problem of data failure when the traditional visual sounding encounters water surface reflection, glare or broken waves is solved, and the robustness under the complex sea condition is remarkably improved.

The invention relates to the technical field of automobile testing, and discloses a method and system for evaluating and testing visual field glare of a driver in a cabin, and the method comprises the following steps: starting from the position of the eyes of the driver, capturing a brightness distribution image of the whole visual field, and dividing the image into a plurality of sub light source regions around a glare source; dividing the visual field into a main sight area and a residual light sight area according to the attention distribution of the driver, and endowing sub light source areas falling into different areas with different weight values; calculating a unified glare index according to the weighted sum of the glare intensity of each sub light source area and the background brightness in the cabin; and finally, comparing the index with a preset threshold value, and outputting an evaluation result. According to the method, the large-area light source is divided into the sub-light sources, weighted calculation is carried out in combination with the attention of the driver, the problem that a traditional glare evaluation model is not suitable for a close-range non-point light source scene of the automobile cabin is solved, a scientific evaluation system matched with the automobile cabin is established, and the glare evaluation result is more accurate.

The invention belongs to the field of automobile manufacturing, and particularly relates to a control system for controlling a front windshield black edge area through a sunlight sensor, which comprises a sunlight sensor module, a data processing unit, a motor control module, a guide rail mechanism, a telescopic black edge assembly, a man-machine interaction module, a communication integration module, an edge calculation module and a mounting structure module. According to the control system for controlling the black edge area of the front windshield through the sunlight sensor, the sunlight intensity, the incident angle and the light source position can be detected in real time, the sunshade range of the telescopic black edge assembly is automatically adjusted according to the data, and sunlight is effectively shielded; interference of strong light on sight of a driver is reduced, and driving safety is remarkably improved. No matter in the daytime with strong sunlight or in the environment with complex light rays, the system can respond in time, a clear visual field is provided for a driver, and the risk of accidents is reduced.

The invention discloses an intelligent enhancement method for a road image under a low-illumination condition, and belongs to the technical field of computer vision and video processing, and the method comprises the following steps: S1, calculating an actual illumination value of a current road scene; s2, adaptively adjusting the exposure time; s3, targeted noise reduction; s4, color temperature correction; s5, enhancing the image contrast; s6, performing strong light suppression to obtain a final current road scene image; under extremely low illumination, the image signal-to-noise ratio is increased by more than 40%, the color rendition degree is larger than or equal to 90%, clear full-color images can be output without external light supplementation, meanwhile, the strong light inhibition rate of vehicle headlights and the like is larger than or equal to 95%, the overexposure area is reduced to be lower than 5% of the original area, the algorithm processing delay is smaller than or equal to 40 ms, the real-time monitoring requirement is met, and the method is suitable for highway night scenes.

The utility model discloses an automobile lamp and an automobile, and relates to the technical field of automobiles, the automobile lamp comprises a lamp housing, a support, a light source, a light guide piece and a thick wall piece, the light source is mounted on the bracket; the light guide part is installed on the support, the light source is arranged at one end of the light guide part, and the light guide part can receive light emitted by the light source. The thick-wall part comprises at least two thick-wall lenses, each thick-wall lens comprises a light guide part and a light scattering part which are connected with each other, the light guide parts can transmit light to the light scattering parts, the light guide parts of every two adjacent thick-wall lenses are connected with each other, every two adjacent light scattering parts are arranged at intervals, and the light guide parts are attached to the light guide part. Through the arrangement, under the action of the light guide piece and the thick-wall lens, bright spots in the vehicle lamp can be avoided, and therefore the situation that glare is generated on drivers of surrounding vehicles, and consequently the sight of the drivers is interfered is avoided.

The invention relates to the technical field of crossing of automatic control and machine vision, in particular to a crawler-type cleaning robot path planning and blind area elimination method, which comprises the following steps of: acquiring a surface image of a photovoltaic module through a vision sensor arranged on a robot body, extracting grid line characteristics of a photovoltaic cell and establishing a local coordinate system; a path datum line is generated with the grid line direction as the datum, and the transverse deviation and the angle deviation between the current position of the robot and the path datum line are calculated in real time; the walking path of the robot is dynamically adjusted in a fuzzy control mode; the cleaning distance is dynamically adjusted by calculating the current cleaning width and the expected overlapping rate; when the sensor data conflicts, an obstacle crossing or plate crossing decision is performed based on the inclination angle data. The multi-sensor data fusion technology improves the anti-interference capability of the robot, so that the robot can stably operate in the environments of strong light, light reflection and the like.

The invention provides a port container loading and unloading positioning method, system and equipment and a medium, and belongs to the technical field of port automation and machine vision positioning. The method comprises the following steps: acquiring a container surface image and synchronous sling motion data; the jitter amplitude is evaluated, the image is combined to analyze the illumination condition, and the multispectral image is adaptively selected or fused to generate an anti-interference image; angular point coordinates are extracted, the angular point coordinates and motion data are input into a vision-inertia tight coupling optimization model together for state estimation, and the real-time pose is solved; driving a lifting appliance-load dynamic model by using the motion data, and predicting pose deviation generated by inertia and swinging in the future; and the feedback control quantity based on the real-time pose and the feed-forward compensation quantity based on the prediction deviation are fused, and an accurate control instruction for driving the lifting appliance is generated. The problems of image quality degradation and feature loss caused by strong light, weak light and sling shaking are solved, and high-precision and high-robustness container positioning and alignment in a complex dynamic environment are achieved.

The utility model provides an anti-dazzle light strip lamp which comprises a fixing base, a protruding plate fixedly connected to the top of the fixing base, a through groove formed in one side of the fixing base, limiting grooves formed in the two sides of the fixing base, side covers clamped in the limiting grooves, an inserting groove formed in the through groove, a light-transmitting cover inserted in the inserting groove and a lamp holder fixedly connected to the bottom of the fixing base. A plurality of sets of LED light-emitting lamp beads are evenly arranged on the top of the lamp holder, a controller is fixedly connected into the fixing base, the lamp holder is perpendicular to the light-transmitting cover, and the top of the lamp holder is flush with the bottom of the through groove. Light emitting of the LED light-emitting lamp beads is controlled through the controller, light emitted by the LED light-emitting lamp beads irradiates upwards, light rays penetrate through the light-transmitting cover and are reflected and penetrate through the fixing base, a certain irradiation angle is formed, the soft light effect is achieved, the light-transmitting cover enables light spot boundary transition to be soft, glare is reduced, and the dazzling feeling of eyes is reduced during direct vision.

The application discloses a method for correcting the vision of laser refraction in extremely shallow water, and belongs to the technical field of marine surveying and mapping and underwater detection, and is used for laser refraction correction. The method comprises the following steps: synchronously collecting binocular images and inertial measurement unit attitude data, and generating three-dimensional point clouds; indexing a light spot area in the point clouds according to a laser emission angle, fitting a micro tangent plane, and obtaining an original normal vector of the water surface; calculating a confidence weight according to the image texture definition, and iteratively calculating an optimal estimated normal vector based on the original normal vector and the weight; calculating a real incident angle according to the optimal estimated normal vector and a laser emission direction; calculating a direction vector of underwater refracted light according to Snell's law; and combining the propagation distances of the laser in the air and in the water and the emission origin coordinates, and calculating three-dimensional coordinates of a target point on the water bottom. The application introduces visual confidence, solves the problem of data failure of traditional visual depth measurement when encountering water surface reflection, glare or broken waves, and significantly improves the robustness under complex sea conditions.

This application relates to the field of lens processing and discloses a lens manufacturing method, a glasses manufacturing method, a lens, and glasses. The lens manufacturing method includes: determining target vehicle information based on the application scenario information of the lens; acquiring the display parameters of the vehicle display of the target vehicle information, wherein the vehicle display is configured to output polarized light signals to the target area to form a display image in the target area, and the display parameters include at least the polarization angle parameters of the polarized light signals; providing an optical lens layer; and setting a polarization layer on the optical lens layer with a polarization angle matching the polarization angle parameters to obtain a lens. This improves the brightness of the user's field of vision and reduces glare when wearing glasses containing the lens. Furthermore, the optical effect of the manufactured lens can be flexibly adjusted according to the vehicle model driven by the user, so that the polarization angle of the lens is adapted to the vehicle display of the vehicle being driven, thus combining the functions of blocking sunlight and acquiring information displayed on the vehicle display, thereby improving the driving experience and driving safety.

The invention relates to a glare detection system based on binocular vision and brightness fusion, and belongs to the technical field of optical measurement and detection. The system comprises a binocular synchronous acquisition module which is used for obtaining the distance, size and brightness original parameters of a scene through a synchronous triggering exposure mechanism, and realizing the time sequence synchronization of the brightness and a binocular vision channel; a multi-parameter correlation calibration module which carries out mutual calibration on the distance and the size parameters, carries out attenuation compensation on the brightness according to the distance, and generates a standardized calibration parameter set; the binocular brightness fusion calculation module distributes dynamic weights to the three types of parameters by adopting a weighted confidence fusion mechanism, performs deep fusion through a pixel-level coupling calculation model, and adapts to different illumination scenes; and the glare result output and verification module is used for calculating a glare index and regional distribution and correcting and optimizing a detection result through parallax consistency verification and historical data. High-precision synchronization and fusion of multi-source information are realized, and the accuracy and environmental adaptability of glare detection are improved.

The atmosphere lamp comprises a cover body and a lamp strip, the lamp strip is arranged in the cover body, the cover body comprises a light-transmitting area and a non-light-transmitting area, the light-transmitting area is located on a light emitting path of the lamp strip, a light blocking piece is further arranged in the cover body, and at least part of the light blocking piece is located on a straight connecting line of the lamp strip and the light-transmitting area. According to the LED lamp, the lamp strip is arranged in the cover body, the lamp strip is prevented from being exposed, and the short circuit problem is solved; the light-transmitting area is located on the light-emitting path of the lamp strip, light generated by the lamp strip can be emitted out from the light-transmitting area, the technical effects of illumination, decoration, atmosphere foiling and the like are achieved, by designing the position and the light-emitting area of the light-transmitting area, light is only emitted out from the preset area needing to be emitted out, and light pollution caused by light diffusion is avoided; by arranging the light blocking piece, light generated by the lamp strip cannot be directly emitted from the light transmitting area, the light generated by the lamp strip cannot directly irradiate eyes of consumers, lamplight is softer, the dazzling degree of the lamplight is relieved, and the user experience feeling is better.

The invention relates to a mine image glare removal method and device based on multi-scale attention, a medium and a product, and belongs to the field of computer vision and image processing. According to the invention, dazzle light removal is carried out on a mine image based on a U-Net network architecture; wherein in the U-Net encoder, feature extraction is carried out on a feature map through a plurality of encoding stages in sequence, and global and local features under different scales are extracted through a multi-scale attention module in each encoding stage; in the U-Net decoder, the feature image is subjected to feature reconstruction through a plurality of decoding stages in sequence, and image texture and edge information is recovered through a multi-scale attention module in each decoding stage; and finally, converting the feature map output by the decoder into a residual image, and adding the residual image and the original input image to obtain a dazzle-light-removed image. According to the invention, by introducing a multi-scale attention mechanism and a residual structure, the processing capability of the model on image glare interference is enhanced.

The present application relates to the technical field of automatic control and machine vision, and particularly relates to a path planning and blind area elimination method for a crawler-type cleaning robot, which comprises the following steps: collecting a photovoltaic module surface image through a vision sensor arranged on a robot body, extracting photovoltaic cell grid line features and establishing a local coordinate system; generating a path reference line based on the grid line direction, and calculating a lateral deviation and an angle deviation between a current position of the robot and the path reference line in real time; dynamically adjusting a robot walking path through a fuzzy control method; dynamically adjusting a cleaning interval by calculating a current cleaning width and an expected overlap rate; and executing an obstacle crossing or board crossing decision based on an inclination angle data when sensor data conflicts. A multi-sensor data fusion technology improves the anti-interference capability of the robot, so that the robot can stably operate in a strong light, a reflective light and the like.

A vehicular vision system includes a forward viewing camera disposed at and viewing through a windshield of a vehicle, and a driver viewing camera that views the eyes of a driver of the vehicle. Image data captured by the forward viewing camera is processed to determine (i) a light source ahead of the vehicle, (ii) an intensity of the determined light source and (iii) a position of the determined light source relative to the vehicle. Image data captured by the driver viewing camera is processed to determine gaze direction of the driver. The system determines a region of the windshield based at least in part on (i) the determined position of the determined light source and (ii) the determined gaze direction of the driver. The system, responsive to the intensity of the determined light source being greater than a threshold level, locally darkens the determined region of the windshield.

The utility model discloses a binocular night vision goggles for protecting objective lenses, which relates to the technical field of night vision devices and comprises a goggles bracket, night vision goggles and objective lens sheaths. And the night vision goggles are rotationally connected to the lower part of the goggle frame and provided with objective lenses at one end and eyepieces at the other end. The objective lens sheath is clamped and fixed outside the objective lens, and a light reducing lens is arranged in the objective lens sheath, so that the objective lens is prevented from being damaged by strong light, and testing and internal state observation are not hindered. The objective lens sheath is composed of an end cover, a clamping ring, a support, a through hole and a light reducing lens, the end cover is provided with a sliding groove and a clamping groove to stably clamp the objective lens, the clamping ring is fixed outside the night vision goggles, the support is n-shaped to avoid the convex portion of the objective lens, and the through hole facilitates observation and testing. According to the night vision goggles, the durability and the use safety are improved, the maintenance and test process is simplified, and the night vision goggles are suitable for various scenes such as military, law enforcement, outdoor exploration and night driving.

The application provides an optical autonomous cooperative detection and identification method based on multi-modal data, and belongs to the technical field of machine vision. The advantages of visible light, infrared and laser sensors are comprehensively utilized to overcome the limitations of single sensors in adverse weather, complex background or strong light interference. Two independent algorithm processes are used for synchronous visible light search and infrared search of visible light and infrared images to ensure that even if one sensor fails or performance decreases due to environmental conditions, the other sensor can still serve as an effective supplement, greatly improving the first capture probability and overall reliability of the system for the target. A slice-assisted super-reasoning YOLOv5 algorithm based on a sliding window is used to process the visible light image, effectively improving the detection accuracy of distant small targets or dense targets and overcoming the performance bottleneck of traditional methods when the resolution is insufficient. The infrared image is divided into weather and environment types, and the corresponding algorithms in the prior algorithm library are dynamically called.