429 results about "Specularity" patented technology

The invention provides a cloud collaborative three-dimensional building modeling rendering method and system based on WebGL (Web Graphics Library). The method comprises the following steps: acquiring design parameters of a target building, analyzing the design parameters into geometric topological data of a plurality of independent components on the basis of a functional attribute division rule, and generating a multi-stage detail geometric model; adding material physical attributes to the surface vertex data, calculating a diffuse reflection coefficient and specular reflection intensity through a ray tracing algorithm, and generating lightweight component data carrying physical rendering parameters; in response to a view angle switching instruction of a terminal user, according to a space block corresponding to a current view angle, a main GPU node is distributed from a distributed GPU cluster, the main GPU node is divided according to the space block, adjacent blocks of the space block are distributed to edge GPU nodes, parallel ray tracing calculation is executed based on a WebGL protocol, and the parallel ray tracing calculation is executed based on the WebGL protocol. And returning to the main GPU node synthesis terminal display image and displaying. According to the technical scheme provided by the invention, the response speed is remarkably improved while the physical-level rendering effect is kept.

The invention discloses an online monitoring method and system for the light transmittance of an optical lens, and relates to the technical field of precise optical detection. The objective of the invention is to solve the problem of large light transmittance calculation error caused by halo scattering noise interference, low optical path calibration precision of a complex curved lens, a measurement blind area of a large-aperture lens and environmental disturbance of a high-reflection / high-light-transmittance lens in the prior art. According to the scheme, a three-dimensional curved surface model is constructed based on Gray code structured light projection and ICP registration, a dynamic partition scanning instruction set is generated through an improved genetic algorithm, and multi-wavelength polarized light is driven to scan and collect multi-dimensional data; specular reflection and scattering noise are suppressed by combining an improved Stokes vector algorithm and an attention mechanism U-Net network, and the data precision of the complex curved surface is improved by adopting Bayesian optimization and Zernike polynomial weighted fusion; constructing a double-loop coupling optimization architecture to realize closed-loop adaptive optimization; according to the invention, the anti-interference capability, the complex lens adaptability and the full-aperture detection precision are obviously improved.

The invention relates to the technical field of tooth modeling, and discloses a three-dimensional tooth modeling system based on computer vision, computer equipment and a readable storage medium. According to the method, mirror reflection, diffuse reflection and subsurface scattering components in an original image are separated, mirror reflection intensity is normalized in combination with a dynamic truncation algorithm, pixel saturation is eliminated, groove and nest textures are reserved, a complete point cloud is obtained based on a two-dimensional texture image and cubic spline repair, and a multi-exposure point cloud sequence is obtained through bimodal calibration. The method comprises the following steps: solving the problem of data dislocation, carrying out weight assignment and data fusion on three-dimensional points in a plurality of exposure point cloud sequences to obtain three-dimensional fusion feature data, combining layered optical modeling and photon tracking compensation deviation, fusing clinical constraints, finally dynamically adjusting parameters, feeding back and optimizing, and outputting a micron-sized precision model. The modeling defect caused by difficulty in effectively coordinating feature contribution degrees under different exposure conditions is overcome, and high-precision modeling is realized.

A high-fidelity three-dimensional reconstruction method for a specular reflection plane comprises the steps of decomposing pixel colors into diffuse reflection and specular reflection components based on a 3D Gaussian sphere, introducing a dynamic reflection ratio parameter and a spherical harmonic function coefficient to respectively represent two reflection characteristics, and simulating light multi-reflection behaviors through weight fusion of cumulative projection and a reflection ratio map. Secondly, in combination with monocular inverse depth calibration, depth smoothing constraint of color gradient weighting and edge mutual exclusion loss, geometric consistency is enhanced, and artifacts are suppressed; a progressive multi-resolution training strategy is further adopted, low resolution is gradually optimized to complete resolution, reflection parameters are activated in stages, 3D Gaussian sphere overgrowth and floating artifacts are inhibited, and efficiency and precision are balanced. According to the method, the reconstruction fidelity of the specular reflection scene is remarkably improved while the real-time rendering advantage of the 3DGS is reserved, and the method is suitable for the high-precision modeling fields of virtual reality, augmented reality and the like.

The invention relates to the technical field of copper pipe defect detection, in particular to a copper pipe internal thread secondary machining defect detection method and system, and the method comprises the steps: obtaining thread surface feature data based on multi-mode optical parameter measurement, and the multi-mode optical parameters at least comprise a polarized light inhibition reflection parameter and a multi-band spectral reflection parameter; temperature gradient parameters in the machining process are synchronously obtained, and deformation error correction is conducted on thread surface feature data in combination with dynamic compensation; according to the corrected thread surface feature data, a multi-dimensional defect judgment model is pre-trained to execute hierarchical defect detection; and integrating the coupling relationship between the multi-mode optical parameters and the electromagnetic parameters to output a defect measurement result, wherein the coupling relationship realizes multi-physical quantity fusion judgment through a preset weight distribution matrix. According to the invention, the problems of optical detection signal distortion and high microcrack omission ratio caused by surface high specular reflection in copper pipe internal thread secondary processing defect detection are effectively solved.

A lure for fishing according to one embodiment of the present invention comprises a main body portion having a cavity therein; a weight provided in the cavity of the main body portion and movable in the cavity; and a hollow cover member provided in the cavity of the main body portion, covering the weight from an outer side, and capable of guiding the weight to an inner side, in which the cavity is partially or entirely visually recognizable from an outside, and one or a plurality of reflecting surfaces or reflectors capable of performing specular reflection of light from the outside is provided on an outer surface of the hollow cover member.

The invention relates to the technical field of machine vision image analysis, in particular to a lubricating oil abrasive particle quality analysis method and system based on machine vision, and the method comprises the steps: obtaining a thickness distribution diagram of an oil residual layer on the surface of an abrasive particle through a gray ratio relation between a first transmission image and a second transmission image; performing optical compensation on the first transmission image to obtain a final compensation image, and performing phase consistency edge detection to obtain an abrasive particle edge enhanced image; calculating the polarization reflectivity ratio of each abrasive particle area; extracting the mirror reflection intensity difference of each abrasive particle in the abrasive particle edge enhanced image; and when the abrasive particles are analyzed as metal attributes according to the polarization reflectivity ratio and the specular reflection intensity difference, identifying the morphological characteristic parameters of the abrasive particles, matching the morphological characteristic parameters with a pre-stored abrasive particle wear characteristic library, and outputting a quality evaluation report of the lubricating oil according to a matching result. The influence of oil film interference is effectively inhibited, the metal particles are accurately distinguished, and high-precision analysis on the lubricating oil abrasive particles is realized.

The invention provides a virtual imaging method and system applied to virtual shooting, computing equipment and a storage medium, and relates to the technical field of virtual imaging. The method comprises the following steps: synchronously acquiring object surface reflection characteristic data by using a multi-wavelength light source, and generating various imaging parameters through an image feature extraction network; the dynamic attitude data and binocular vision depth information are fused, and virtual and real scene dynamic space coordinate mapping is constructed; calculating the surface reflection intensity distribution of the virtual object in real time through a light propagation simulation module in combination with the specular reflectance and deformation correction parameters, and dynamically adjusting the relative position of the virtual object and the real light source; generating a continuous and smooth shadow boundary transition effect based on a material attenuation model; and performing space-time calibration on the shadow effect by using the dynamic attitude sequence to realize frame-level synchronous rendering of virtual and real light source positions and shadow changes. According to the technical scheme provided by the invention, through optical parameter modeling and dynamic path optimization, the problem of light and shadow distortion of the virtual object in a real scene is solved.

The invention discloses a metal processing detection system and method based on computer vision, and relates to the technical field of defect detection.Rotatable polarization filters are installed in front of a lens of a vision sensor, the polarization filters are arranged at four angles respectively, and four sets of polarization images are collected; calculating the polarization degree of each pixel point on the surface during metal processing by using the gray values of the four groups of polarization images, setting a polarization region interval, and dividing a metal surface reflection region into a specular reflection region and a diffuse reflection region; acquiring images of different wavebands by using a multispectral vision sensor, and constructing a multispectral image set; for the same wave band, the images of different exposure times are synthesized to obtain an HDR high dynamic range image; setting a weight for the HDR image of each wave band, and combining the weighting of the HDR image and the suppression of the polarization degree to carry out multispectral image fusion so as to obtain a final image; and a gray threshold value and an area threshold value are respectively calculated through the average value and the standard deviation, and the metal processing defects are judged by using the two threshold values.

The invention discloses a hot-dip galvanized steel pipe ground cage verticality measuring system based on machine vision, and relates to the technical field of physical measurement, and the system comprises a projection unit which is used for projecting polarization gray scale stripes with polarization codes to a to-be-measured hot-dip galvanized steel pipe ground cage; the imaging unit comprises at least two cameras which form a triangulation base line with the projection unit so as to synchronously acquire multi-view images from different views; and the processing unit is configured to perform polarization difference fusion on the multi-view images to suppress mirror reflection, generate corresponding polarization difference fusion images, reconstruct pipe body three-dimensional point clouds of all the hot-dip galvanized steel pipes in the corresponding hot-dip galvanized steel pipe ground cages, generate pipe body axial vectors by adopting robust cylinder axis fitting, and obtain the pipe body three-dimensional point clouds of all the hot-dip galvanized steel pipes in the corresponding hot-dip galvanized steel pipe ground cages. And calculating the perpendicularity deviation angle of the pipe body according to the axial vector of the pipe body and the gravity direction. Therefore, on the premise that the measurement precision is guaranteed, the spatial postures of the multiple steel pipes are synchronously collected and recognized at a time, multi-point repeated scanning is not needed, and the detection efficiency is remarkably improved.

The invention relates to the technical field of workpiece detection, and discloses an intelligent visual detection method and system for the surface of a workpiece, and the method comprises the steps: projecting a polarization structure light pattern to the surface of the workpiece, and synchronously collecting an image of the polarization structure light pattern after deformation on the surface of the workpiece; separating a structured light component and a polarized light component from the image, reconstructing a surface three-dimensional shape according to the structured light component, and generating surface polarization degree distribution according to the polarized light component; performing multi-scale gradient scanning on the surface three-dimensional morphology, extracting edge change features, performing texture consistency analysis on the surface polarization degree distribution, and identifying an abnormal texture mode; identifying a mirror reflection area based on the surface polarization degree distribution, performing height compensation on a corresponding area in the surface three-dimensional morphology, generating a corrected surface three-dimensional morphology, and combining edge change features and an abnormal texture mode; according to the invention, the accuracy and robustness of defect identification can be improved, and the reliability and efficiency of the system in industrial field application are enhanced.

The invention provides an apparent defect detection system and method based on CCD image recognition. A specular reflection interference area meeting a preset difference condition is recognized through a first surface reflection image and a second surface reflection image of a target patch element; extracting corresponding orthographic gray scale data from a third surface orthographic image obtained by adopting coaxial light source irradiation based on the specular reflection interference area; according to the brightness distribution gradient of the specular reflection interference area in the first surface reflection image and the second surface reflection image, constructing a texture restoration guide map, and using the texture restoration guide map to carry out texture restoration on the orthographic gray scale data to generate a texture restoration image of the specular reflection interference area; and generating a defect identification reference image for eliminating specular reflection interference based on the texture repair image, and outputting an appearance defect identification result of the target patch element by the defect identification reference image. According to the technical scheme provided by the invention, the defect detection of the patch element can be realized under the interference of mirror reflection.

The invention belongs to the technical field of image processing, and particularly relates to an aluminum bar quality detection method and system based on machine vision, and the method comprises the steps: obtaining a gray image of the surface of an aluminum bar; constructing a structure tensor for describing the distribution of the pixel points in the local gradient direction, and obtaining gradient coherence indexes of the pixel points according to feature values of the structure tensor; according to the gradient coherence index, the gray value of the pixel point and the gray value mean value and the gray value standard deviation in the neighborhood, obtaining coherence weighted saliency of the pixel point; according to the coherence weighted saliency and the coherence weighted saliency of all the pixel points in the pixel point neighborhood, acquiring a defect probability index of the pixel points; and performing aluminum bar surface quality discrimination according to the defect probability index. According to the method, through combination of gradient coherence and local brightness statistical characteristics, interference of specular reflection light spots on the surface of the aluminum bar and wiredrawing texture noise is effectively inhibited, and accuracy of detection of weak defects such as scratches is improved.

The invention discloses a machine vision-based enzyme freeze-dried powder quality detection method, and belongs to the technical field of machine vision, and the method specifically comprises the following steps: in a closed optical cavity, synchronously collecting a multispectral polarization sequence of a sample through annular multispectral polarization illumination and microscopic imaging; performing short-time airflow pulse disturbance and continuous imaging on the sample, and constructing a polarization time sequence texture map by means of inter-frame polarization retention difference; according to Stokes parameters, calculating a deskewness graph and a specular reflection component graph, and carrying out joint normalization on the deskewness graph and the specular reflection component graph and the polarization time sequence texture graph to form a multi-channel feature stack; constructing a double-branch encoder, and performing comparative learning on the feature stack to generate an impurity prototype dictionary; using the dictionary to match the feature stack pixel by pixel, and tracking and inhibiting powder agglomeration false detection through a topological constraint connected domain; and recovering a height map by using an oblique incidence fringe phase shift method, performing pixel-level fusion with the candidate image, retaining targets with height abrupt change and consistent polarization characteristics, and outputting an impurity mask.

The invention discloses an aluminum foil strip defect detection method and system. The method comprises the following steps: acquiring multi-modal data acquired by an optical sensor and an ultrasonic sensor in a high-speed production line; performing mirror reflection preprocessing on the optical image, and eliminating ambient light interference by using an adaptive filter to obtain a first feature set; performing weighted fusion on the first feature set and the ultrasonic signal according to a preset weight matrix to obtain a second feature set; judging whether the second feature set contains defect features or not, and if the second feature set contains the defect features, classifying the fusion features through a convolutional neural network; generalizing the defect classification result by adopting a support vector machine to obtain a generalization model; the generalization model is in butt joint with a production line control system, a control instruction is generated according to the defect classification result, and when defects are detected, production line speed parameters are adjusted. According to the invention, the accuracy and robustness of defect detection are improved, intelligent defect detection and control of a high-speed production line are realized, and the product quality and the production efficiency are effectively improved.

The invention belongs to the technical field of three-dimensional shape measurement, and discloses a three-dimensional measurement method for a non-Lambert metal surface, which comprises the following steps of: projecting polarization coding structured light on the non-Lambert metal surface, synchronously acquiring reflection images and ambient light noise data, and removing light noise from each reflection image to obtain a non-Lambert metal surface; extracting and calculating the light intensity value, the light polarization value and the light deflection angle of each pixel point in different polarization states, constructing a grayscale image to distinguish a high polarization point from a low polarization point, marking mirror reflection and diffuse reflection areas, resolving a phase field based on the processed reflection image, and correcting the phase jump; a continuous phase field and polarization reflectivity characteristics are combined to input a double-branch network model, the model is fused and optimized, a control point coordinate matrix and a weight matrix are output, an NURBS curved surface is constructed for defect detection, a high-precision three-dimensional surface shape is reconstructed, and the problems of reflection interference, dynamic efficiency and industrial adaptation in non-Lambert metal surface three-dimensional measurement are systematically solved. And a solution is provided for high-precision industrial detection.

The invention provides a video manuscript abnormal data detection method and system based on artificial intelligence, and the method comprises the steps: obtaining a video manuscript which comprises a text instruction and a video frame; generating an enhanced semantic tag based on the text instruction and the video frame; the mirror reflection light component and the diffuse reflection light component in the video frame are separated by adjusting the lens polarization angle in real time, and an anti-interference image is generated; aligning the enhanced semantic tag and the anti-interference image in a shared semantic space, and calculating the feature similarity between the aligned enhanced semantic tag and the aligned anti-interference image; and determining a target anomaly score according to the feature similarity. According to the invention, the accuracy and robustness of video anomaly detection in a dynamic illumination scene are improved.

A method and system for eliminating 2D features from planar surfaces in 2D images. Three digital images are taken, from a single camera at a fixed position, of a subject such as a pallet of boxes. One image (IA) is taken with ambient lighting, one image (I1) has ambient lighting plus a first added light source, and one image (I2) has ambient lighting plus a second added light source. An output image Q is then computed by Q=(I1−IA) / (I2−IA). Subtracting the ambient image removes ambient diffuse and specular reflections. Division eliminates all variations in the output image caused by color. The only variations that remain are those due to the angle between each surface point's normal direction and the direction from the light to that point. The output image Q, devoid of all colors and 2D features, is well suited for computing a robot grasp of an object in the image.

The invention relates to a method for eliminating mirror reflection interference in VR positioning, hardware and application, and the method comprises the steps: detecting and matching a highlight area in a binocular camera image, calculating a corresponding 3D position through triangulation, carrying out the consistency analysis of the parallax and depth of the highlight area, recognizing inconsistent points as mirror reflection points, and removing the mirror reflection points. The mirror surface reflection interference is eliminated; hardware is realized by the method, and the method is applied to a VR environment with an illumination intensity gradient greater than a preset value. The method detects and matches the highlight area in the binocular camera image, calculates the 3D position, analyzes the consistency of the parallax and depth of the highlight area, effectively recognizes and rejects the specular reflection points, reduces the SLAM positioning instability, improves the VR positioning precision, improves the mapping quality, accelerates the convergence speed of algorithm calculation while eliminating the external point interference, and accelerates the calculation efficiency. The calculation consumption of the system is reduced; the method is implemented only on the basis of original configuration, hardware is simple, and implementation cost is low.

The present invention discloses a broadband radar cross section reduction metasurface with reflection and scattering characteristics, which includes a number of square structural units arranged in a set manner. Each square structural unit includes a bottom metal plate unit, an upper special-shaped metal strip unit, and a dielectric substrate unit disposed between the bottom metal plate unit and the upper special-shaped metal strip unit. The present invention can integrate two special functions within a relatively wide frequency band, namely the reflection and scattering of incident electromagnetic waves, so as to achieve the functions of specular reflection and RCS reduction.

The invention discloses a three-dimensional surface shape digital measurement-based cosmetic plastic auxiliary analysis method and system, and the method comprises the steps: obtaining a medical image data set, carrying out the noise processing through employing a Gaussian filtering algorithm, judging a noise point if the difference between a pixel gray value and a neighborhood mean value exceeds a preset threshold value, and carrying out the smoothing processing, and obtaining a first image data set; constructing an energy function according to the first image data set, and filling and repairing a defect region in the image through superposition calculation of a single-point energy item and an adjacent-point interaction energy item to obtain a second image data set; extracting point cloud data from the second image data set and constructing a gradient field, and if the point cloud density is lower than a preset threshold value, executing local encryption processing to generate a three-dimensional face model; grid vertex coordinates and normal vector information of the three-dimensional face model are obtained, and the environment light component, the diffuse reflection component and the mirror reflection component are fused through an illumination intensity calculation formula to generate a visual image, so that the precision and efficiency of medical image processing and three-dimensional visualization are improved.

The present application relates to the technical field of aviation safety. Disclosed is a method for assessing the impact of flicker and glare of a photovoltaic panel on aviation safety. The method comprises: a specular-reflection analysis model calculating beam irradiances of specular reflections of sunlight on focusing reflectors in photovoltaic panels at different distances, and corresponding sizes of reflected images of the sun, which reflected images are observed by human eyes, and further calculating different light-source angular subtenses, and human-eye retinal irradiances of the specular reflections, and assessing the probability and risk of visual persistence on the basis of the different light-source angular subtenses and the corresponding retinal irradiances; a diffuse-reflection analysis model calculating diffuse-reflection irradiances of the sunlight at different diffuse-reflection source distances, and further calculating human-eye retinal irradiances of corresponding diffuse reflections; and in view of the retinal irradiances of the specular reflections and the retinal irradiances of the diffuse reflections, a safety impact analysis model analyzing aviation safety impact factor values corresponding to the flicker and glare of the specular reflections of the focusing reflectors. Further disclosed is a system for assessing the impact of flicker and glare of a photovoltaic panel on aviation safety.

Multiple synthetic aperture radar “SAR” images of a target area on the earth are acquired using a satellite travelling in an orbit above the earth in a single pass of the satellite over the target area. In some methods, the data for each image is acquired from a different angle of incidence with respect to the target area. Then, the variation of quantity of backscattered radiation with respect to angle of incidence is analysed and used to identify matter imaged in a pixel or pixel group. In other methods, the data for each image is acquired from a different angle of incidence with respect to the target area, and the different angles of incidence are determined based on the specular reflection curve for a particular material. Then the quantity of backscattered radiation is analysed to determine whether the particular material is present based on the quantity of backscattered radiation. ‘Extended dwell spotlight acquisition’ geometry may be used in which image data acquisition apparatus may be locked to illuminate same target as the satellite passes over the target for a period of for example 20 seconds.

The invention discloses a circuit breaker conductive system image detection method, and relates to the technical field of circuit breaker conductive systems, and the method specifically comprises the following steps: when a judgment result is that a mirror reflection phenomenon occurs on the surface of a contact, extracting an image of the surface of the contact collected by an industrial camera, and uniformly dividing the image into a plurality of regions; acquiring and analyzing illumination feature information of each region in the image, evaluating the brightness distribution non-uniformity degree of the image, acquired by the industrial camera, of the surface of the contact due to low-angle illumination based on an analysis result, and dividing each region in the image into a high-brightness region, a normal region and a low-brightness region; and under the condition of different brightness distribution non-uniform degrees, respectively executing corresponding processing measures on a high-brightness area, a normal area and a low-brightness area in the image. According to the invention, the problem of brightness distribution imbalance caused by low-angle illumination is solved, and the accuracy and stability of circuit breaker contact crack detection are improved.

The invention provides an AGV (Automatic Guided Vehicle) visual texture navigation path map real-time generation method, which comprises the following steps: collecting ground glossiness and a gray scale saturation region area, comparing the brightness difference between the gray scale saturation region and a normal region, and identifying the distribution position and the coverage range of a high-reflection region; according to the distribution position and the coverage range of the high-reflection area, extracting a texture missing part covered by the specular reflection patches, and determining boundary coordinates of the texture missing part; according to the optimized light incident angle distribution, the gray jump amplitude when the AGV drives into the polished tile area from the rough cement ground is collected, and the transition intensity of material change is evaluated; and filling a texture missing region in the path map by using the reconstructed complete texture features, and integrating the texture information of the path map to generate a complete AGV navigation path map.

Systems and methods of virtual displays to generate virtual images. Some display systems comprise a light source and a plurality of specular reflectors to produce virtual images that have a monocular depth that is closer to a viewer than an exit aperture optic or other optical component of the display system. In some embodiments, sensors or cameras detect a property of a viewer or of an environment to impact the virtual image or to provide sensory feedback to the viewer.

The utility model provides a fabric and a textile, and relates to the technical field of textiles. The fabric comprises a first functional layer and a second functional layer, the first functional layer is arranged on one side of the second functional layer, the first functional layer is formed by first yarns, the first yarns comprise functional fibers, the functional fibers comprise a core layer and a sheath layer, the sheath layer is arranged on the periphery of the core layer, and the surface of the sheath layer comprises a plurality of diffuse reflection parts; the second functional layer is formed by second yarns, and the second yarns have at least one of a quick-drying function, a ventilation function and a cool feeling function. The functional fiber surface of the first functional layer comprises a plurality of diffuse reflection parts, and the diffuse reflection parts can reduce specular reflection on the surface of the fabric, so that the sweat mark hiding capability of the fabric is improved.

The invention relates to the technical field of image processing, and discloses an endoscope image imaging method and an endoscope, and the endoscope image imaging method comprises the steps: obtaining a real-time collection image of the endoscope and a light source parameter of the endoscope; positioning a target light spot in the real-time acquired image based on light source parameters of the endoscope; suppressing a specular reflection component of a target area where the target light spot is located to obtain an endoscope imaging image; the method comprises the following steps: firstly, positioning a light spot in a real-time acquired image based on a light source parameter to obtain a target light spot; the specular reflection component of the target area where the target light spot is located is further suppressed, so that the overexposure spots can be suppressed while global processing damage to normal highlight areas such as highlight bleeding spots and highlight mucous membranes can be avoided, and the original expression of the image can be restored.

Methods and systems for generating a sound. The method includes obtaining meshes representing at least one object in a frame of an environment, the environment including a source and a receiver; determining spatial continuity information and reflection normal information of the meshes; determining, based on the spatial continuity information and the reflection normal information, reflection paths between the source and the receiver involving the at least one object, each of the reflection paths having at least one reflection point associated with the at least one object; obtaining spatially sampled results by spatially sampling a space around the at least one reflection point of reflection paths using multiple distributions of rays, the spatially sampled results correlating with geometric information of the meshes; generating reflection amplitude responses for each of multiple audible frequencies in the environment based on the spatially sampled results; and producing a sound based on the reflection amplitude responses.

The invention provides an unmanned aerial vehicle inspection tour anti-dazzle visual angle optimization method and system based on background perception. Acquiring a key detection area of the inspection target; candidate shooting poses of the unmanned aerial vehicle are generated for the key detection area; constructing a glare risk function based on the material type parameters, the solar incident angle and the deviation angle between the camera observation direction and the mirror reflection direction; constructing a contrast scoring function based on the brightness corresponding to the background type and the reflection brightness corresponding to the key detection area; a target shooting position is selected according to the glare risk function and the contrast scoring function, and an unmanned aerial vehicle inspection track is generated; the shooting visual angle of the unmanned aerial vehicle is automatically selected and adjusted in a complex natural light environment, the image failure risk caused by high reflection, silhouette and low contrast is reduced, and the detectability of defects of key parts is improved.