118 results about "Glare (vision)" patented technology

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 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 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 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 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 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 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 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.

The invention relates to a full-field-of-view security and protection method based on an FPGA platform and a millimeter-wave radar. The full-field-of-view security and protection method comprises the steps of collecting video data of a monitoring area; splicing the multi-channel video data into a panoramic monitoring image by adopting an image splicing algorithm; performing character recognition on the panoramic monitoring image to obtain a recognition result; if people cannot be recognized due to the limitation of environmental conditions or people are detected and whether the people carry dangerous goods cannot be judged, the millimeter wave radar module is controlled through the holder to align at the area where the people are located to carry out data acquisition and processing, and a radar four-dimensional imaging picture is formed; and judging whether the detected person carries a metal article reaching a preset volume threshold value or not by combining an identification result of the panoramic monitoring image and the radar four-dimensional imaging picture. The system has the beneficial effects that by fusing two sensing modes of vision and millimeter wave radar, the defect that the performance of a traditional security system is sharply reduced under severe visible light conditions such as rain and fog, sand and dust, strong light, night and the like is overcome.

Apparatus are described herein related to augmenting human vision by means of adaptive polarization filter grids. A preferred embodiment is described as smart sunglasses, realized as see through head mountable device (HMD) configured to reduce glare originating from polarized light. Each eyeglass of the HMD is associated with a grid comprising a plurality of dynamically configurable polarization filters placed in the path of the light. A polarization analyzer module analyzes the polarization characteristics of a field of view and performs an optimization calculation. The polarization analyzer controls the said grid via a controller module in such a way that the filter state of each grid element can be addressed separately. The grid of polarization filters causes the polarization characteristics of the incident light to be adapted in such a way as to reduce glare and / or to provide a user of the said head mountable device with an enhanced visual perception of the field of view. The user of the described head mountable device has the option of selection between a plurality of polarization enhancement modes, such as horizontal or vertical polarization filtering only or a hybrid mode combining both horizontal and vertical polarization filtering on an individual basis for each grid element. Additionally smart window and smart mirror embodiments of the described adaptive polarization filter grids are introduced.

The application belongs to the technical field of intelligent transportation, and discloses a license plate recognition light supplementing method and system based on dual-mode vision and dynamic light beam shaping. The method first uses a near-infrared imaging system invisible to human eyes to continuously and imperceptibly detect vehicles entering a recognition area, and analyzes images in real time to accurately estimate the position and size of a license plate. Then, the system controls a visible light illumination module to generate a customized light beam highly matched with the license plate area in shape and size according to the estimated license plate area coordinates, and performs instantaneous and accurate light supplementing on the area. While supplementing light, a visible light image sensor is synchronously triggered to take a snapshot to obtain a high-definition color license plate image. The application eliminates glare interference from a physical source, guarantees high-quality color image acquisition capability, and improves driving safety and recognition accuracy.

The present invention relates to a novel refractive intraocular lens (IOL) having a continuous range of view, extended depth of field (EDOF), capable of providing a continuous clear field of view for cataract patients when objects from far to near while minimizing halo and glare phenomena. The novel refractive EDOF continuous visual range artificial lens provided by the invention has the advantage that the extended focal depth can be provided, so that a patient can obtain continuous vision from a far position to a near position (35-40cm). The spherical aberration of each area on the front surface of the artificial lens is optimized, halo and glare are reduced to the maximum extent, the 60-degree refraction section of the fourth area is used for providing balanced energy distribution when the pupil diameter is large, the pupil is irrelevant to magnification distribution, and the lens magnification and the extension focal depth are not affected by the pupil size or light conditions. The partition modification of the intraocular lens can be used as a controllable switch, and the focal depth can be adjusted according to requirements, namely, the focal depth is adjusted from a far vision field to a near vision field or from the far vision field to a middle vision field.

The application discloses a motion training evaluation system and method based on cooperation of an event camera and a visual camera, and is applied to the field of computer vision, and aims at the problems that an existing training evaluation system based on an optical camera cannot capture fast motion trajectories and limb shapes, cannot effectively evaluate action quality, and cannot provide effective training guidance; the application provides continuous human motion events in the form of event streams, can achieve millisecond-level motion response, is not affected by motion blur effects of high-speed moving objects, and can provide a higher dynamic range, and can provide more effective motion training evaluation in scenes with strong light, backlight, and sharp changes in brightness. Through cooperation of the visual camera and the event camera, not only the accuracy of fast actions can be evaluated, but also standard action teaching and training in the form of visual scene interaction can be performed.

A vehicle sun visor assembly comprises a sun visor including a frame and a polymer-dispersed liquid crystal (PDLC) film mounted within the frame. A drive device is operationally connected to the sun visor to move the sun visor between a retracted position between a roof panel and the vehicle's headliner and an extended position protruding from the headliner. A method for operating a vehicle sun visor includes determining the degree of glare from sunlight experienced by a driver of the vehicle and comparing this degree of glare to a predetermined threshold. A sun visor containing a PDLC film is moved between a retracted position between the vehicle's headliner and roof panel and an extended position partially covering the vehicle's windshield.The PDLC film is selectively excited to change the opacity of the PDLC film in response to a specific degree of glare from sunlight.

Provided are a light emitting device capable of reducing glare, a headlight, and a vehicle including the same.The light emitting device comprises: a light emitting element having a light emission peak wavelength in a range of 400 nm or more and 490 nm or less; and a wavelength conversion member including a first fluorescent material having a light emission peak wavelength in a range of 480 nm or more and less than 580 nm and a second fluorescent material having a light emission peak wavelength in a range of 580 nm or more and 680 nm or less and having a composition different from that of the first fluorescent material, wherein the light emitting device emits light having a first luminance ratio Ls / L that is 0.9 or less, where Ls / L is a ratio of a first effective radiance Ls of the light emitted by the light emitting device in consideration of a spectral luminous efficiency curve for photopic vision of humans specified by the CIE (Commission Internationale de l'Eclairage) and S-cone spectral sensitivity of humans, to a luminance L of the light emitted by the light emitting device in consideration of the spectral luminous efficiency curve for photopic vision of humans.

The invention provides a night electric scooter helmet wearing detection method and system. The method is applied to the technical field of computer vision, and comprises the following steps: acquiring night video stream data in real time, extracting a high-brightness area from each frame of video stream data, screening out a light source area from the high-brightness area, and recording the light source area; detecting a strong light area in each frame of video stream data in real time, and marking the video stream data containing the strong light area; carrying out different pretreatments on the strong light area and the non-strong light area; inputting the preprocessed video stream data and the recorded light source area into an improved YOLOv10 model, and outputting a detection frame and confidence; tracking the moving trajectory of the electric scooter based on the detection frame and the confidence coefficient, and recording basic indexes in real time; and performing credibility scoring according to the basic index and the confidence coefficient, judging whether the helmet is worn or not according to a scoring result, and outputting a judgment result. According to the invention, intelligent automatic detection of the wearing state of the scooter riding helmet at night is realized.

To provide an extended depth of focus (EDOF) that provides a cataract patient with continuous vision from distance to near with minimal halo and glare, and an intraocular lens (IOL) that achieves continuous vision.SOLUTION: To obtain continuous vision from a long distance to a short distance near 40-35cm by providing the extension of a focal depth. The spherical aberration of each zone of the anterior surface of the intraocular lens is optimized to minimize halo and glare. The fourth zone 60 degree segment design of the present invention provides a balanced energy distribution at large pupil diameters and makes the lens pupil independent of power distribution. The lens power and its extended depth of focus are independent of pupil size and lighting conditions. Furthermore, the change of zone of the intraocular lens can be used as a controllable switch to change the depth of focus according to the demand from far vision to near vision or from far vision to intermediate vision.SELECTED DRAWING: Figure 1

The utility model discloses an automobile headlamp screw position detection device, which relates to the technical field of screw positions and comprises a device main body and a control mechanism, and the control mechanism comprises a servo mechanism Y shaft, a servo mechanism X shaft, a servo mechanism Z shaft and a visual sensor. An X shaft of the servo mechanism is fixedly connected with the device main body, a Y shaft of the servo mechanism is fixedly connected with the device main body, a Z shaft of the servo mechanism is vertically mounted in the device main body, and the visual sensor is rotatably connected with the Z shaft of the servo mechanism. When the position of a screw of the adjusting mechanism is abnormal, for example, the position of the screw is not in a working position or a product cannot be normally driven due to the fact that the adjusting mechanism is damaged, and when the adjusting mechanism is abnormal, an operator needs to use a glare flashlight to judge whether the abnormity comes from the damage of the adjusting mechanism at a special angle.

The utility model discloses a dual-channel low-light night vision device, which comprises a lens body group, a low-light lens group arranged at the front end of the lens body group, an eyepiece group arranged at the rear end of the lens body group, and a white-light lens group, the mirror body set comprises a mirror body shell, an image intensifier installed in the mirror body shell, a controller installed on the mirror body shell, a battery, an infrared light supplementing lamp, a photosensitive lamp and a switch. The controller is electrically connected with the image intensifier, the battery, the infrared light supplement lamp, the photosensitive lamp and the switch. The white-light lens group is mounted at the front end of the lens body group, and the optical axis of the white-light lens group is parallel to the optical axis of the low-light lens group; an image combination prism group used for overlapping the optical axis of the white light lens group and the optical axis of the low-light lens group is mounted in the lens body shell; the image combination prism group comprises an upper beam splitter prism and a lower beam splitter prism which are used for changing the optical axis of the low-light-level mirror group. The LED lamp has the advantage of being capable of being used in both low-illumination and strong-light environments.

The application discloses a kind of low-speed mobile platform four rotor unmanned aerial vehicle take-off method, it is related to unmanned aerial vehicle control technical field, through the calculation of under-view image overexposure proportion and gradient energy to generate glare index, and combine re-projection error dynamic expansion visual measurement noise covariance.Utilize unmanned aerial vehicle relative acceleration and visual pose execution state fusion, output relative state estimation value, maintain state prediction when vision is inhibited.According to state estimation covariance, calculate the normalization confidence coefficient, use the coefficient to gain weight to lateral velocity command to limit control response, and generate thrust command.When relative height, lateral position error and system total confidence continuously satisfy preset condition, it is judged that take-off is completed.The application quantifies illumination interference to adaptively adjust estimation weight and control gain, effectively solves the take-off instability problem caused by visual positioning divergence under strong light reflection, improves the robustness and safety of dynamic take-off.

The present application belongs to the technical field of complex illumination scene adaptive control, and particularly relates to a night vision strong light suppression imaging method for highway scenes. The method completes scene preliminary judgment through illumination statistical feature extraction, identifies strong light regions and extracts connected domain features, assigns differentiated suppression intensity factors based on light source types, automatically switches imaging modes, combines local exposure suppression, halo weakening, night vision enhancement, and infrared light supplementing with exposure closed-loop control, and realizes precise suppression of strong light glare, dark detail improvement, and dynamic stability of image brightness. The present application solves the problems of insufficient low-illumination imaging, difficulty in suppressing strong light, and unstable fixed parameters in the prior art, and is suitable for complex illumination scenes at night on highways, ensuring clear key information such as vehicle outlines and license plates, and meeting the needs of night safety monitoring and vehicle detection.

The utility model relates to the technical field of anti-dazzling rearview mirrors, in particular to an anti-dazzling electronic rearview mirror which comprises a shell, a reflective glass panel and a sensing control unit. The reflective glass panel comprises a base body, a blue film anti-dazzle layer and an electric control anti-dazzle layer which are arranged on two opposite surfaces of the base body, and a reflective layer which is arranged on one side, deviating from the base body, of the electric control anti-dazzle layer; a first protective layer is arranged on the outer side face of the blue film anti-dazzle layer, and a second protective layer is arranged on the outer side face of the reflecting layer. The electric control anti-dazzle layer is electrically connected with the sensing control unit. A basic static anti-dazzle function is provided through the blue film anti-dazzle layer, and the electric control anti-dazzle layer performs dynamic adjustment on strong light, so that the intensity of reflected light is further reduced, the stimulation of dazzle to the vision of a driver is reduced, the driving experience is optimized, and the driving safety is enhanced; the anti-dazzle blue film serves as the outer layer, initial reflected light is reduced, meanwhile, the electric control anti-dazzle layer is more efficient during adjustment so as to adapt to different illumination conditions, and the visual experience of a driver is further optimized.