51results about How to "Avoid overexposure" patented technology

The invention provides a low-illumination image enhancement method based on adaptive brightness enhancement and high-fidelity color correction. Comprising the following steps: constructing a training data set, and performing data enhancement on paired low-illumination / normal-illumination images to obtain an image data set for training; designing a low-illumination image enhancement network based on adaptive brightness enhancement and high-fidelity color correction; designing a loss function for training the designed network; training the designed network by using the training data set; and inputting a to-be-measured low-illumination image into the trained network to generate a normal-illumination image. According to the method, the adaptive brightness improvement strategy and the color correction under the multi-color space constraint are utilized, the image brightness can be adaptively enhanced, the image color is subjected to high-fidelity correction, and a high-quality image with proper brightness and high-fidelity color is obtained; the problems of uneven brightness, color distortion, detail loss and the like of the low-illumination image are effectively solved.

The present invention discloses a laser positioning method and a robot based on image information. The execution subject of the laser positioning method is a robot equipped with a structured light module. The structured light module includes a line laser transmitter and a camera without an infrared filter, so that the imaging information of infrared light and the imaging information of visible light are retained in the image captured by the camera. The laser positioning method includes the following steps: the robot controls the camera to capture an image of light reflected back from the surface of an object to be measured by the line laser emitted by the line laser transmitter, and detects the brightness and darkness type of the image captured by the camera. When the robot detects that the current frame image captured by the camera is a bright frame image, the robot searches for the position of the line laser from the current frame image by executing an inter-frame tracking algorithm. When the robot detects that the current frame image captured by the camera is a dark frame image, the robot extracts the position of the line laser from the current frame image by executing a brightness centroid algorithm.

The invention discloses a low-illumination image enhancement algorithm based on deep convolution, which is suitable for the field of image processing, and the core of the algorithm lies in an efficient noise reduction process and accurate decomposition of an illumination image and a reflection image. Comprising the following steps that firstly, a channel noise reduction module works cooperatively through multiple noise reduction strategies, noise in an image is effectively removed, and a foundation is laid for follow-up processing; then, the illumination image decomposition network and the reflection image decomposition network accurately separate the brightness information, texture and color information of the image based on a deep learning structure. And finally, by ingeniously fusing the illumination image and the reflection image, reconstructing a high-quality enhanced image, remarkably improving the brightness, contrast and details of the image, and meanwhile, retaining the natural color of the image. The algorithm has the advantages of being high in noise reduction capacity, accurate in illumination image decomposition, efficient in reflection image decomposition, good in enhancement effect and the like, and an effective and practical solution is provided for image enhancement under the low-illumination condition.

The invention provides a polarization integrated imaging detection module applicable to a severe environment, and relates to the technical field of image detection. The system comprises an optical lens, a polarization CMOS sensor, a data transmission link, a control transmission link and an on-chip integrated processing system. Wherein the exposure consistency of the multi-polarization-angle images is ensured by performing acquisition and exposure adjustment on the images at four polarization angles and executing a brightness normalization algorithm, so that the problem of brightness unbalance during multi-image fusion of a traditional exposure algorithm is avoided; besides, through local dynamic range optimization, global gamma correction and a multi-scale fusion method, texture and brightness characteristics at different polarization angles are reserved, and clear and reasonably exposed image generation is realized. The defects in the aspects of atmospheric haze, underwater imaging and strong reflected light processing in the prior art are overcome, high-resolution and high-frame-rate real-time clear imaging is achieved, and reliable image support is provided for various application scenes.

The invention provides a collaborative unsupervised image enhancement and denoising method, system and device and a medium, and belongs to the technical field of image processing. The method comprises the following steps: constructing a data set of a low-light image based on an image low-light enhancement data set; constructing an illuminance-driven iterative enhancement network to improve the image brightness and adjust the exposure by using the illuminance characteristics; constructing a regional denoising network to remove dense noise and retain semantic information of a bright region by using a mixed denoising module; generating a collaborative unsupervised framework by using an illumination-driven iterative enhancement network and a regional denoising network; training a collaborative unsupervised framework by using a comprehensive loss function and an Adam optimizer; and obtaining a final image enhancement and denoising result through the collaborative unsupervised framework so as to complete the testing of the collaborative unsupervised framework. According to the method, the balance between the brightness and the exposure can be realized in the enhancement process, the visual recovery effect of the bright area is improved on the basis of global image denoising, and the image enhancement and denoising performance of the network is improved.

The present application relates to the technical field of new energy vehicles, and in particular to a charging pile, which includes: a support frame, a moving mechanism and a hatch structure; the moving mechanism is movably connected to the support frame, the hatch structure is arranged on the support frame, and the moving mechanism is provided with a charging line outlet; a moving mechanism window is arranged on the hatch structure, and the moving mechanism moves between a first position and a second position relative to the support frame, and when the moving mechanism is in the first position, the charging line outlet is located on the inner side of the hatch structure, and when the moving mechanism is in the second position, the charging line outlet is located on the outer side of the hatch structure. The present application realizes a movable charging line outlet, and in an idle state, the charging cable can be arranged inside the device to avoid excessive exposure, realize charging gun line protection, and increase the service life of the charging gun line; in the charging state, the charging cable drives the charging gun to extend out of the hatch through the mobile mechanism charging cable, which does not affect the closure of the hatch, so that the internal structure of the charging pile can also be protected during charging.

The embodiment of the invention provides an exposure parameter adjustment method and device, and the method achieves the precise recognition of a region with the significant brightness change through comparing the brightness difference of image blocks at corresponding positions in a first image and a second image. Determining connected domains formed by the image blocks, if a pair of connected domains matched in position does not exist, proving that the motor vehicle does not exist, adjusting the exposure parameter to a third exposure parameter, and if a pair of connected domains matched in position is determined, proving that a pair of vehicle lamps of the motor vehicle exist, namely, the motor vehicle exists. The possible position of the license plate is deduced by using the preset relative position relationship between the vehicle lamp and the license plate, and the exposure parameter is selected to be adjusted to the first exposure parameter or the second exposure parameter according to whether the license plate exists at the possible position, so that the image data does not need to be split into two paths of independent video streams, namely additional hardware resources and processing capability are not needed, and the image processing efficiency is improved. Therefore, the requirement of clearly presenting the scene and the license plate can be met, and the monitoring cost is effectively reduced.

The application discloses a kind of intelligent detection systems of metal material surface defects, it is related to defect detection technical field, including state curve module, for obtaining the position of metal material along the direction of movement and the change curve of surface state variation, and the position interval of key detection area in the direction of movement;The key detection area at least includes oxide skin thick area, oxide skin thin area and surface state variation intense mutation area of imaging condition conflict;The application makes conflict area into imaging field by time sequence decoupling mode in time, and makes non-target area be in the physical position that imaging interference is less, cooperates special imaging parameter, special analysis rule and closed loop feedback optimization mechanism, overcomes the defect that fixed parameter detection mode is difficult to compatible multi-area conflict imaging demand, improves the reliability and adaptability of metal material surface defect detection under complex surface state.

The present application discloses an image fusion method, a computer-readable storage medium and a device, the method comprising: obtaining first image data output by a first image sensor and second image data output by a second image sensor, the exposure time of the first image data being less than the exposure time of the second image data; determining a first focus area of ​​interest based on the first image data, and making the first image sensor in the adjusted camera device focus on the first focus area of ​​interest; determining a second focus area of ​​interest based on the second image data, and making the second image sensor in the adjusted camera device focus on the second focus area of ​​interest; obtaining third image data output by the adjusted first image sensor and fourth image data output by the second image sensor; fusing the third image data with all fourth image data to obtain fused image data. In the above manner, the present application can avoid overexposure or underexposure of images taken by the camera device.

The present invention provides a parameter control method and an exposure method, the parameter control method comprising: obtaining substrate surface shape data and mask surface shape data before scanning exposure; obtaining a workpiece stage adjustment amount and an objective lens adjustment amount based on the substrate surface shape data and the mask surface shape data, and forming a workpiece stage motion trajectory and an objective lens motion trajectory; smoothing the objective lens motion trajectory to obtain a smoothed objective lens adjustment amount, so that the objective lens motion time is not greater than the workpiece stage motion time or the exposure gear switching time; forming a first coefficient based on the workpiece stage adjustment amount, and forming a second coefficient based on the smoothed objective lens adjustment amount. In this configuration, by optimizing the objective lens motion trajectory, the objective lens motion time is matched with the workpiece stage motion time or the exposure gear switching time, and the exposure time is no longer limited by the objective lens motion time, which effectively improves the yield of the exposure equipment, and also avoids the overexposure or underexposure phenomenon of the exposure field caused by the exposure gear adjustment, thereby improving the yield of the product.

The utility model discloses a monitor for golf real-time remote positioning, which comprises a monitoring camera body, the surface of the monitoring camera body is sleeved with a shell, the shell can slide back and forth on the surface of the monitoring camera body, the two sides of the shell are fixedly connected with supports, and the supports are fixedly connected with the monitoring camera body. The side, away from the shell, of the support extends to the bottom of the monitoring camera body and is fixedly connected with a sleeve plate, the bottom of the monitoring camera body is movably connected with a transmission rod through a bearing, the surface of the transmission rod is fixedly connected with a rotating wheel, and the bottom of the rotating wheel is fixedly connected with a sliding rod located in the sleeve plate. And the sliding rod is in sliding connection with the sleeve plate. According to the utility model, the housing slides back and forth on the surface of the monitoring camera body, the amount of light entering the camera is directly controlled, the housing moves forward to enlarge the shading area, overexposure or identification interference caused by direct sunlight is avoided, the housing moves backward to reduce the shading range, the amount of light entering is increased, and the imaging quality in a low-light environment is improved.

The invention discloses a cross-chain identity privacy protection method based on casual transmission, and the method is characterized in that the method comprises the following steps: S1, employing a negotiation key designed based on a peninsula group replaceable rational function, so as to guarantee that a supervision mechanism and a local enterprise can safely negotiate the key; and S2, when the supervision mechanism carries out identity attribute compliance check on the local enterprise on the local chain, a cross-chain communication scheme based on the casual transmission technology is adopted to realize cross-chain identity authentication. The invention relates to the technical field of identity privacy protection, in particular to a cross-chain identity privacy protection method based on casual transmission. The technical problem to be solved by the invention is to provide a cross-chain identity privacy protection method based on casual transmission, so that on the premise of ensuring the security of a supervision mechanism in a regional stock exchange market, the security authentication and compliance check of identity information of local enterprises on a local chain can be carried out in a cross-chain manner. The method has higher security and is suitable for a plurality of fields such as finance and the like.

The utility model discloses an automatic mounting device for an underground pipeline positioning instrument, which relates to the technical field of pipeline positioning instrument mounting equipment, comprises a mounting frame body in which a first magnet is connected in a sliding manner, and is characterized in that a first connecting frame and a second connecting frame are symmetrically arranged on two sides of the mounting frame body; the first connecting frame and the second connecting frame pivot relative to the mounting frame body at the same time, a second magnet and a third magnet are connected to the first connecting frame in a sliding mode, a conductive probe is arranged on the second connecting frame, and the automatic mounting device is automatically attracted to a metal pipeline through the first magnet, the second magnet and the third magnet in the automatic mounting device; and by installing a distance sensor on the second magnet and / or the third magnet, accurate monitoring of the contact distance of the metal pipe wall is achieved, the rotating positions of the first connecting frame and the second connecting frame are adjusted, and the accuracy of equipment installation is ensured.

The invention provides a multi-scale adaptive modulation polarization image fusion enhancement method and apparatus, and an electronic device. The method comprises the steps of resolving an original polarization image to obtain a light intensity image and a polarization degree image; acquiring a polarization degree image low-frequency component as a first low-frequency component; acquiring a light intensity image low-frequency component as a second low-frequency component; determining a first adaptive modulation parameter based on the gray statistical parameter of the polarization degree image; determining a second adaptive modulation parameter based on the light intensity image gray statistical parameter; determining a low-frequency fusion component based on the first low-frequency component, the first adaptive modulation parameter, the second low-frequency component and the second adaptive modulation parameter; and obtaining a fusion enhanced image based on the low-frequency fusion component and the polarization degree high-frequency component. According to the method, adaptive modulation parameters based on gray statistical characteristics are introduced into low-frequency component fusion of a light intensity image and a polarization degree image; and the high-frequency component of the polarization degree image is enhanced in high-frequency component processing, so that the quality of the fusion enhanced image is remarkably improved.

The invention discloses a lens and a lamp. The lens is used for the lamp. The lamp comprises a light-emitting part, and the lens comprises a lens body. The lens body is arranged on the side, facing the ceiling, of the light-emitting part and is opposite to the ceiling in the first direction. In the first direction, the lens body comprises a first side wall face facing the light-emitting part and a second side wall face deviating from the light-emitting part. The second side wall surface is provided with a first light guide structure and a second light guide structure. The first side wall face is configured to refract light emitted by the light emitting part to the second side wall face, the first light guide structure can refract part of the light to the side, facing a ceiling in the first direction, of the lens body, and the second light guide structure can reflect part of the light to the peripheral side, in the second direction, of the lens body. The light intensity of the peripheral side of the lens body is larger than the light intensity of the side, facing the ceiling, of the lens body. According to the scheme, the shadow and overexposure phenomena of the ceiling above the lamp can be effectively avoided, and the light illumination efficiency and the illumination effect are improved.

The invention provides a PUR oil-resistant and wear-resistant material and a preparation method of a swing drag chain line of the PUR oil-resistant and wear-resistant material, and relates to the technical field of drag chain lines. A storage barrel is fixedly arranged at the top of the supporting table, and PUR oil-resistant and wear-resistant particles are stored in the storage barrel; an extruding structure is fixedly arranged at the top of the supporting table, and an extruding assembly is further fixedly arranged at the top of the supporting table; a spray cooling device is fixedly arranged at the top of the supporting table, and two guide assemblies are fixedly arranged at the top of the supporting table; a guide assembly and an extrusion assembly are arranged; the transverse direction and the vertical direction of the cable core can be limited and guided at the same time, and the advancing path of the cable core is guaranteed; therefore, overlarge contact force between the cable core and the inner wall of the extrusion mold can be prevented, the performance integrity of the cable core is ensured, and the problem that overlarge contact force is possibly generated between the cable core and the inner wall of the extrusion mold is solved.

The present application belongs to the technical field of image enhancement in coal mine, and specifically discloses a coal mine image enhancement method, system, computer device and storage medium. Firstly, a glow imaging degradation model is established to obtain a glow image, and a layer separation method is used to remove the glow to obtain a de-glow image; then, on the basis of a low-illumination enhancement SRLLIE method, a target function of the low-illumination enhancement SRLLIE method is improved according to the de-glow image, the improved target function is iteratively solved, an illumination graph with suppressed overexposure and retained structural details and a de-noised reflection graph are obtained; then, the brightness of the illumination graph is adjusted by using an S-shaped gamma correction function to obtain an optimized illumination graph; finally, the optimized illumination graph and the reflection graph are point multiplied according to the Retinex theory to obtain an enhanced image. The present application can not only effectively improve the brightness of the image and suppress over-enhancement, but also restore the image detail information and improve the visual effect of the image.

The utility model relates to flying shear, shearing machine technical field proposes a kind of guiding structure for preventing shear blade occlusion, including flying shear mounting seat, the side surface of flying shear mounting seat is provided with shear blade body, the top of shear blade body is provided with blade mouth, the top of blade mouth is provided with guiding mechanism, the guiding mechanism includes guide slot, the top of flying shear mounting seat is opened in guide slot, support shaft is rotatably connected in the inside of guide slot. In the utility model, the mutual cooperation between guiding mechanism component makes the guiding blade of upper and lower shear blade body contact first, guiding blade is stressed to drive shear blade body to move inside the sliding slot at this time, so that shear blade body is retracted to guide slot inside, so that the shear blade gap modulation of two shear blade bodies is minimum, then guiding blade mouth contact and shearing, by the above technical scheme, the problem of blade mouth occlusion in prior art cannot be avoided.

The application discloses a method, system and server for determining an aerial track area in an image, wherein the method comprises the following steps: S1, acquiring an RGB track image to be processed; S2, converting the RGB track image to obtain a single-channel H component image; S3, determining a set of hue variation points on a longitudinal line of the H component image and determining the aerial track area from the H component image based on the determined set of hue variation points. After the original image is acquired, the method does not perform conventional global median noise reduction or mean filtering processing, but directly converts the original image into an H component image, identifies hue variation points based on the tracking and locking principle of the first derivative mutation of the hue component, and determines the aerial track edge by combining the least square method. The processing method can instantaneously extract a standard aerial track area from the original image within 5 ms, thereby laying a foundation for the aerial track dust detection of a crown under the condition that the speed of the crown is not reduced.

The invention provides a low-illumination water-floating garbage image enhancement method based on an illumination intensity diffusion model, and the method comprises the steps: inputting an obtained water-floating garbage image into a light source illumination intensity diffusion model, and obtaining a light source illumination compensation image; extracting texture and features of the light source illumination compensation image by using an edge feature fusion depth curve estimation network to obtain a feature image; and when the light enhancement curve is used for estimating a low-illumination water floating garbage enhancement curve of the feature image, atmospheric light estimation is introduced to correct the curve, so that an enhanced image is obtained. The purpose of improving the recognition accuracy of the floating garbage is achieved.

The invention relates to a composite brightness enhancement film and a manufacturing method thereof, and relates to the technical field of optics, and the composite brightness enhancement film comprises a first brightness enhancement film which comprises a first prism layer and a first substrate which are stacked; the second brightness enhancement film comprises a second prism layer and a second base material which are stacked; the first base material and the second prism layer are connected through the attaching layer; the protective layer is arranged between the first base material and the laminating layer, and the protective layer is used for absorbing ultraviolet light. By introducing the protective layer to optimize the structural design of the film, the protective layer can effectively absorb ultraviolet light, the ultraviolet light is prevented from excessively irradiating the Primer coating of the first base material, and the degradation and failure risks of the Primer coating are reduced, so that the adhesive force between the first prism layer and the first base material in the production process is improved, and the production efficiency is improved. Furthermore, the stability and the performance of the brightness enhancement film are improved, the brightness enhancement effect of the film can be effectively improved, and the durability and the mechanical strength of the film are improved.

The present application belongs to the technical field of image enhancement, and particularly relates to a television camera image enhancement method for low-illumination environment, comprising: acquiring initial pixel values of each color channel at the current moment and the previous moment; extracting an initial illumination component and combining spatial structure fluctuation and time difference to construct a basic space-time fluctuation value; modulating the mean value of the initial illumination component in the neighborhood to obtain a space-time illumination fluctuation intensity; constructing an adaptive diffusion coefficient according to the space-time illumination fluctuation intensity and dynamically weighting the initial illumination component to obtain a target illumination component; constructing a dynamic compensation factor by using the relative intensity of the target illumination component and the global distribution extreme value, and then generating a final enhanced image. The present application can effectively suppress environmental noise and eliminate halo artifacts, and adaptively improve the contrast and visual fidelity of the texture in extremely dark areas.

A multi-view finger vein image acquisition device includes a camera module, a lighting module, a driving module and a supporting module. The supporting module is provided with a rotating track. The driving module includes a motor and a rotating handle. The motor is mounted on the supporting module, and the rotating handle is mounted on the motor. The camera module and the lighting module are arranged relatively and connected to the rotating handle respectively. The camera module and the lighting module are also mounted on the rotating track respectively through pulleys. A space for placing a finger is provided between the camera module and the lighting module. The motor drives the rotating handle to rotate, and the rotating handle drives the camera module and the lighting module to rotate synchronously along the rotating track. The camera module performs multi-view photography of the finger, and the lighting module provides illumination of the corresponding viewing angle to the finger during multi-view photography. The present invention uses only a single camera to realize multi-view all-round flexible acquisition of finger veins, greatly reduces the investment cost, simplifies the equipment structure and control program, and realizes high-quality and easy-to-operate multi-view finger vein acquisition at a low cost.

The utility model relates to the technical field of vein palmprint identification, in particular to vein palmprint identification equipment, which comprises a main control chip, an infrared light source module, an optical imaging module, a living body detection module, a heat dissipation structure and an anti-counterfeiting processing module. According to the utility model, the structure is novel, infrared light can uniformly irradiate a palm, edge dark areas or center overexposure can be avoided, vein image quality can be improved, ambient light interference can be effectively inhibited, aberration can be reduced, blood vessel edge definition can be improved, and counterfeiting means such as silica gel artificial hands, photos or vein printing can be effectively resisted; the LED working temperature stability is ensured, wavelength drift is avoided, the service life is prolonged, the palm of a user is automatically adjusted to the optimal imaging position, the operation difficulty is reduced, the recognition success rate is improved, stable imaging can be ensured under different illumination conditions, the calculation amount is reduced while the precision is ensured, the recognition efficiency is high, and the energy consumption is low.

The invention relates to the technical field of image processing, and discloses a step exposure and optical coating combined method and system, and the method comprises the steps: collecting instrument panel image information by a camera, calculating a refresh frequency according to a gray difference, and automatically adjusting the opening and closing time of a shutter according to the refresh frequency. The shutter opening and closing time of the camera is kept synchronous with the refresh frequency of the instrument panel; image information of the instrument panel of the instrument is collected again, whether an optical filter in the camera needs to be adjusted or not is judged, and when it is judged that the optical filter needs to be adjusted, the light transmittance of the optical filter is adjusted according to the light intensity; continuously acquiring image information of the instrument panel, and judging whether the exposure time of the camera needs to be adjusted or not; and acquiring the information of the environment where the camera is located, and adjusting the exposure time of the camera. According to the invention, the camera can obtain accurate and clear image data under various illumination conditions.

The application discloses a car lamp structure with cold and warm color light switching function and a car, which comprises a shell, a lamp bead assembly, a reflecting element, an inner lens group and an outer lens arranged in the shell in sequence along a light path transmission direction; wherein the lamp bead assembly comprises multiple lamp bead groups; the reflecting element adopts a condenser; the inner lens group is arranged in one-to-one correspondence with the lamp bead group, each inner lens group has a plane facing the light entrance surface of the reflecting element and a plurality of convex arc surfaces facing the light exit surface of the outer lens, and the ratio of the size b of each inner lens group in the left-right direction to the size a in the front-rear direction ranges from 2 to 24; the outer lens is arranged on the end surface of the shell; the application can compress the size of the inner lens in the light path direction, directly reduce the transmission distance of light from the reflecting element to the outer lens, and allow the inner lens group to be arranged in parallel and compact in the left-right direction, thereby avoiding the redundant space caused by the circular or square lens in the traditional design.

The invention provides a construction method of credible data service for hydroelectric power generation industry, which comprises the following steps of: constructing a credible data space, establishing a data model by collecting metadata of a multi-service system, and carrying out classification and differential encryption; a controllable data service is generated, a single-table and multi-table association interface is automatically generated based on a data model or an interface is generated through a custom SQL, and a row-column level permission is configured to control a data range; dynamic service authorization: generating a dynamic key based on role configuration calling times and a validity period, and encrypting access parameters; and service monitoring and tracing: monitoring service node resources and calling behaviors, and recording a calling message for tracing. According to the invention, through the establishment of the trusted data space, the generation of the controllable data service, the dynamic service authorization and the service monitoring traceability, the whole process of integration, governance and service sharing of the hydroelectric data is safe and controllable, and the problems of data islands, weak safety and framework rigidity are effectively solved.

The invention discloses a Raman spectrum automatic adjustment and reconstruction method based on a neural network, which is applied to a Raman spectrum system. The Raman spectrum automatic adjustment and reconstruction method based on the neural network comprises the following steps: acquiring a first Raman spectrum signal according to a preset first temperature, a preset first integral time, a preset first gain and a preset first bias; according to the Raman spectrum automatic adjustment and reconstruction method based on the neural network, through automatic adjustment of the model and automatic adjustment of integral time, bias and gain, manual operation is not needed, the dynamic range and the signal-to-noise ratio of a Raman spectrum system are effectively improved, weak Raman spectrum signals are easier to identify, the detection sensitivity is enhanced, and the detection efficiency is improved. The dynamic range of detection is also improved; and in the automatic adjustment model, through weighting of a width module and a depth module, the accuracy and flexibility of output of the automatic adjustment model are improved.

The utility model discloses a kind of self-adapting enteromorpha detection devices for unmanned ship, including unmanned ship body, image acquisition equipment is arranged on unmanned ship body, image acquisition equipment includes several cameras and automatic telescopic rod, and movable end of automatic telescopic rod is provided with camera along circumferential array;Power supply is arranged in unmanned ship body, and power supply is respectively connected with data storage equipment, data processing equipment, relay and motor drive module, the camera is connected with data storage equipment, data storage equipment is connected with data processing equipment, relay is connected with camera, and motor drive module is connected with the direct current motor of automatic telescopic rod;The utility model adjusts the height of camera by automatic telescopic rod, and enhances the flexibility of acquisition equipment.

The invention discloses a strong background light license plate recognition system and method, relates to the technical field of optics, and aims to solve the problem that a driving vehicle license plate is difficult to recognize under the conditions of strong light interference and low light in traffic monitoring. The system is composed of a laser illuminator, a polarizing film, a visible light color camera, a visible light color polarization camera, an attenuation sheet, a data acquisition system, a power supply module, a controller, an image processor, a laser beam expanding lens group, a visible light imaging lens group and a visible light polarization imaging lens group. Compared with a traditional traffic monitoring probe, the system can effectively restrain strong light interference generated by an automobile headlamp at night, and the imaging contrast ratio and recognition precision of a license plate in the strong light background are improved. The visible light color camera and the visible light color polarization camera are combined for use, the vehicle contour and the surrounding background image obtained by the visible light color camera are reserved, detail information and background information lost by the polarization image can be effectively supplemented, a basis is provided for judgment of management personnel, and advantage complementation is achieved.