632 results about "Mirror reflection" patented technology

The invention discloses a machine vision-based intelligent detection method for steel galvanized surface defects, which comprises the following steps: S1, acquiring and preprocessing a steel galvanized surface image to obtain a standardized image; s2, constructing a specular reflection probability graph according to the brightness distribution and the gradient magnitude, and calculating a reflection intensity value; s3, calculating a structure tensor matrix, determining a main direction angle and an anisotropic consistency coefficient, and generating a direction feature matrix; s4, establishing a multi-scale direction adaptive phase kernel function, and performing phase modulation in a frequency domain by adopting an improved phase stretching transformation algorithm; s5, inverse Fourier transform is executed, and a phase response matrix is extracted; s6, performing weighted fusion to obtain a comprehensive phase response diagram; and S7, setting a threshold value according to the noise variance and the statistical characteristics, executing binarization and morphological processing, and outputting a defect region and boundary coordinates. According to the invention, high-precision identification and boundary positioning of steel galvanized surface defects are realized.

The invention belongs to the technical field of image processing, and particularly relates to a titanium cylinder inner wall defect detection method and system.The method comprises the steps that a titanium cylinder inner wall image is collected, and a highlight area and boundary pixel points thereof are extracted through threshold segmentation and corrosion operation; calculating a scale adjustment factor by combining a highlight area proportion and a boundary gradient amplitude, dynamically scaling the reference kernel according to the scale adjustment factor, and determining a standard deviation of a multi-scale Gaussian kernel; constructing a Gaussian kernel function of each scale, and calculating the sum of difference values of the titanium cylinder inner wall image and convolution results of all scales in a logarithm domain to obtain an enhanced titanium cylinder inner wall image; and performing threshold segmentation on the enhanced titanium cylinder inner wall image to identify a defect area. According to the method, the filtering scale is adjusted in a self-adaptive mode, mirror reflection interference is effectively restrained, halo artifacts are eliminated, and tiny defects covered by highlight are accurately recognized.

The invention relates to the technical field of image compensation, in particular to a reflection compensation method based on image processing, and provides the following scheme: acquiring an environment panoramic image by using a panoramic camera to establish a scene global coordinate system, and acquiring a multi-view original image in combination with a camera array arranged in the circumferential direction of an object; determining a rotation symmetry axis according to the multi-view contour features, reconstructing a three-dimensional geometric body, and calculating normal distribution and curvature change; generating a prediction image based on diffuse reflection and specular reflection hypothesis in the surface expansion domain through virtual visual angle disturbance, identifying a reflection region according to color and gradient consistency, and generating a reflection mask; and performing texture reconstruction on the reflective area by using geometric registration and multi-view compensation, and finally performing splicing and fusion to obtain a non-reflective high-fidelity panoramic image. The method does not need to change the field illumination condition, and can achieve the precise recognition and compensation of the complex curved surface reflection in the cultural relic in-situ collection environment.

The invention relates to the technical field of assembly production lines, and particularly discloses an assembly production line workpiece defect detection method and system based on machine vision. The method aims at accurately detecting the workpiece defects of the assembly production line, firstly, position information of a lens, a workpiece and a light source of a machine vision device is obtained, a basis is provided for subsequent calculation, the detection accuracy is ensured, and then the incident angle of the mirror surface is determined according to the characteristic information of the lens, influences reflected light and imaging and is a key parameter. Then obtaining imaging influence factors according to workpiece characteristics, measuring interference of workpiece surface characteristics on imaging, providing a basis for optimizing reflectivity, calculating specular reflectance through light source position information, reflecting light reflection conditions, combining the specular reflectance and the reflection conditions to obtain collaborative optimization specular reflectance, more accurately evaluating the influence of reflection on imaging, and finally, determining the influence of reflection on imaging. If the reflectivity is greater than a preset threshold value, correction is carried out, a correction angle is obtained to adjust a lens detection angle, misjudgment caused by mirror reflection is reduced, and the detection precision is improved.

The invention discloses a sludge treatment automatic monitoring method based on computer vision, and relates to the technical field of sludge treatment automatic monitoring, and the method comprises the following steps: collecting sludge image information through computer vision, extracting an edge integrity index and a brightness distribution index, and constructing a fusion judgment function based on the time sequence change of the two indexes, determining whether a thin water film exists on the sludge surface or not according to an output result of the fusion judgment function; under the condition of determining that a thin water film exists on the sludge surface, acquiring a pixel highlight gradient polymerization rate, a texture missing fluctuation frequency and an image saturation nonlinear deviation value of a corresponding image region, and establishing a specular reflection image feature recognition matrix; by constructing a multi-dimensional image feature recognition and dynamic regulation and control mechanism, the problem of image misjudgment caused by thin water film mirror reflection in the sludge dewatering process is solved, and accurate recognition and automatic closed-loop control of the real water-containing state of the sludge are achieved.

The invention discloses a fringe projection three-dimensional shape measurement method based on frequency domain and time domain joint coding, and the method comprises the following steps: firstly, embedding a multi-frequency three-step phase shift fringe pattern in the vertical direction based on multi-scale region division, introducing four-step phase shift and complementary Gray code joint coding in the horizontal direction, generating a coding pattern set, and carrying out the projection; after an image is collected, frequency domain transformation and time domain decoding are carried out respectively, and a vertical dominant frequency position, a horizontal period number and a wrapped phase are obtained; then, combining a main frequency position in the vertical direction with a period number and a wrapped phase in the horizontal direction, and extracting a space coordinate of a direct illumination component based on frequency position invariance; and finally, establishing a pixel homonymy point mapping relation between the projector and the camera, and realizing high-precision three-dimensional reconstruction. Compared with a traditional frequency shift method, the method has the advantages that projection patterns are greatly reduced, reconstruction precision and anti-interference performance are improved, and the method is suitable for dynamic three-dimensional measurement under complex illumination conditions such as specular reflection, semitransparent shielding and subsurface scattering.

The invention discloses an intelligent water quality monitoring and evaluating system based on image recognition, which relates to the technical field of environment monitoring, and comprises a fusion module for controlling a polarizer array to rotate based on an environment parameter set, capturing water surface optical images in different polarization directions, and performing image reconstruction through a polarization characteristic tensor decomposition method, generating a high-definition water surface image after reflection suppression; the three-dimensional diagram generation module is used for acquiring a morphology stripe image of the water surface through a DLP projection method, and generating a three-dimensional depth diagram in combination with the high-definition water surface image; the pollution identification module is used for correcting the three-dimensional depth map based on the real-time water temperature data, identifying spatial distribution of pollutants through a dynamic structure element opening and closing algorithm and generating a three-dimensional pollution distribution map; according to the method, mirror reflection noise is suppressed through multi-angle polarization image fusion, and the distinguishability of pollutant characteristics is remarkably enhanced while the image resolution is kept.

The invention discloses a melamine paper surface defect detection system based on optical detection, and relates to the technical field of industrial optical detection, and the melamine paper surface defect detection system comprises a polarized light signal generation module which employs a high color rendering index white light source to irradiate the surface of melamine paper, obtains a surface reflection light beam array carrying different polarization states, and modulates the surface reflection light beam array into eight groups of independent polarized light signals; the multispectral imaging and registering module inputs eight groups of independent polarized light signals into a free-form surface prism group and performs light splitting to generate a diffuse reflection texture image, a mirror reflection image and a near-infrared perspective image, and constructs a three-channel space registering image matrix; and the light path calibration module is used for extracting defect coordinate data and confidence score based on the pixel-level defect thermodynamic image, and performing light path compensation by adopting a real-time feedback regulation mechanism to obtain a dynamically calibrated stable optical imaging signal.

The invention provides a cultural relic crack monitoring system and method based on image processing, and relates to the technical field of image processing. The system is composed of a multispectral image acquisition module, an environment calibration module, an image processing module, a contour recognition module, a crack recognition module, a time sequence evolution analysis module and an output module. The calibration module performs reflectivity normalization according to the material spectrum and real-time illumination and inhibits specular reflection; the image processing module uses multi-scale Retinex to enhance the crack contrast; the contour recognition module is used for extracting candidate contours by using improved Canny; the crack identification module introduces a lightweight CNN to carry out texture analysis and generates crack and texture data; the time sequence evolution analysis module completes multi-moment crack registration and morphological parameter difference; and the output module summarizes the data to generate a chart and a monitoring report. The false detection rate of a traditional method is reduced.

The invention relates to the technical field of satellite height measurement, and discloses a GNSS-R ocean plumb line deviation calculation method, device and equipment and a storage medium. The method comprises the following steps: acquiring a height measurement result, a geoid height and an average dynamic terrain of each GNSS-R mirror reflection point in an ocean area, and calculating a residual geoid height; dividing a global geographic area according to a longitude and latitude target interval to generate a target grid; for any lattice point in the target grid, screening a plurality of GNSS-R mirror reflection points around the lattice point as target points; and determining the weight of the residual geoid height of each target point based on the GNSS-R height measurement precision table, calculating the residual geoid height of the network point through weighted average, and further calculating the corresponding ocean plumb line deviation. By adopting the method, the global ocean plumb line deviation can be quickly calculated based on the GNSS-R sea surface height measurement result, and the accuracy of ocean plumb line deviation calculation is improved.

The invention discloses an illumination adaptability rock crack identification and calibration method based on an image identification algorithm, and relates to the technical field of geotechnical engineering intelligent image identification, and the method comprises the following steps: collecting an illumination incident angle, a polarization state and an illumination gradient corresponding to an image frame, building an illumination time sequence observation layer, and obtaining an illumination time sequence observation layer; forming an illumination feature baseline for crack boundary tracking; and performing coherent phase decomposition on the image sequence based on the illumination feature baseline, stripping mirror reflection and enhancing diffuse reflection texture, and generating a crack drift suspicion image. Through construction of an illumination time sequence observation layer and coherent phase decomposition, illumination interference stripping in a crack image is realized, false drift is eliminated by combining anti-fact playback and time reconstruction, and a dynamic threshold control mechanism is constructed by introducing an anti-illumination mask and an anti-phase pattern and linking a polarized light diaphragm and a shading array. And high robustness of crack identification and closed-loop regulation and control of false early warning are realized.

The invention belongs to the technical field of image processing, and particularly relates to a screw fastening quality evaluation method and system based on image features, and the method comprises the steps: collecting a screw fastening image, and obtaining a complex response diagram through a Log-Gabor filter; obtaining a phase congruency diagram according to each complex response diagram; acquiring gradient directions of pixel points in the phase consistency graph, and constructing an accumulator graph according to the gradient directions and offset points in a preset radius range; according to salient points in the accumulator graph and local signal-to-noise ratios of the salient points, screw positioning points are determined through two-dimensional quadratic polynomial function fitting; the torque value of the screw is obtained according to the screw positioning point driving torque measuring device, and whether the screw is fastened or not is judged. According to the method, the screw is positioned by using phase consistency in the frequency domain, so that the interference of specular reflection and extreme shadow on positioning is overcome, the accuracy of screw positioning is improved, and screw fastening quality evaluation is assisted.

The invention discloses a defect detection system and method for a glass bottle, and belongs to the field of industrial visual defect detection and analysis. The system comprises a GBDM module, the GBDM module is a defect detection module, and the GBDM module comprises a front attention enhancement structure, a rear attention enhancement structure and a defect detection structure, a multi-branch feature extraction structure is used for generating four feature branch diagrams; and the feature fusion structure is used for fusing the four feature branch diagrams. The GBDM module is embedded in the backbone network of the YOLOv8 network model, and multi-branch structures such as wavelet transform, Gabor direction filtering and specular reflection suppression are utilized, so that the feature extraction capability of multiple types of complex defects such as cracks, smudginess and damage on the surface of the glass bottle is enhanced, the generalization capability of the model in a small sample scene is remarkably improved, and the accuracy of the model is improved. The real-time requirement of an industrial scene is met, continuous self-optimization is achieved, and the method has high robustness, high accuracy and high application value.

The invention relates to the technical field of photoelectric detection, and particularly discloses a three-dimensional defect detection method and system based on compound color stripe projection, and the method comprises an upper computer control and processing module which is used for generating a compound color stripe pattern coded with phase difference information, and coordinating and controlling the synchronous operation of the whole system; the structured light projection module is used for receiving the composite color stripe pattern and projecting the composite color stripe pattern to the surface of a measured object at one time; the imaging module is used for receiving the composite colored light reflected after being modulated by the surface of the measured object and separating the composite colored light into monochromatic light signals with different colors for synchronous acquisition; the imaging module further comprises an active highlight suppression unit which is used for dynamically adjusting the polarization direction according to an instruction of the upper computer control and processing module so as to suppress highlight caused by specular reflection. Multiple groups of sine fringes with fixed phase differences are projected to the surface of a measured object at one time. And a plurality of deformed fringe patterns with phase displacement can be synchronously acquired under single exposure.

The invention belongs to the technical field of computer vision, and particularly relates to a blind hole plate hole depth measuring method and system based on distributed cameras 2D and 3D, and the method comprises the steps: projecting laser stripes through a laser, and synchronously collecting a laser stripe image and a blind hole plate 2D gray scale image through the distributed cameras; according to pixel gray scale distribution in a preset window on the laser stripes, adaptively selecting a Gaussian fitting method or a gray scale centroid method to carry out sub-pixel-level center extraction, and generating 3D height data of the blind hole plate; based on the 3D height data and the positioning holes, blind hole center positioning is carried out through affine transformation and image matching; and combining the 3D height data and the 2D grayscale image, judging the measurability of the blind hole according to 2D grayscale features, selectively starting hole depth calculation based on the 3D height data, and comprehensively evaluating the quality of the blind hole. According to the invention, the problems of specular reflection and deep hole measurement are effectively solved, and the precision and efficiency of blind hole depth measurement are remarkably improved.

The invention belongs to the field of optical detection, and particularly relates to a synchronous calibration method for a geometric pose and an optical axis error of a reflective phase deflection system, which comprises the following steps of: taking a plane mirror pose as a reference, establishing redundant geometric constraints under a plurality of poses through mirror image reflection, and jointly solving geometric external parameters of the system; and meanwhile, a reverse ray tracing model and a normal integral model are synchronously constructed in a calibration stage, surface shape data are actually measured by combining an interferometer, a system optical axis error field is explicitly stripped, and decoupling separation of a system structure error and a surface shape error is realized. According to the method, the system building process is greatly simplified, the dependence of a high-precision mechanical auxiliary device is avoided, and the overall detection precision and the low-frequency error control capability of the reflective phase deflection system are effectively improved by synchronously modeling and compensating the optical axis error of the system in the calibration stage; and a technical basis with engineering adaptability is provided for high-precision free-form surface optical detection.

The invention discloses a large-range high-precision angle measurement precision detection device and method for a two-dimensional scanning mechanism. The detection device comprises a two-dimensional scanning mechanism, a multi-tooth indexing table, a photoelectric autocollimator, a marble platform, an angle acquisition circuit, a motion control box, a screw flat plate, a horizontal adjusting gasket, a photoelectric autocollimator mounting tool, an angle acquisition computer, a ground detector and the like. The multi-tooth indexing table is placed on the marble platform plane; the photoelectric autocollimator is mounted on the multi-tooth indexing table through the photoelectric autocollimator mounting tool; a horizontal adjusting gasket is used for adjusting the multi-tooth indexing table and the two-dimensional scanning mechanism to be consistent in parallelism; it is ensured that the photoelectric autocollimator can receive the specular reflection value of the two-dimensional pointing mechanism. The detection method comprises static calibration and dynamic calibration, wherein the static calibration comprises large-period angle precision calibration and small-period angle precision calibration measurement. The invention provides a third-party angle measuring device and a third-party angle measuring method. The third-party angle measuring device can be unfolded around measured equipment and can reach within one arc second.

The invention discloses an accessory traceability management system and method for a watch movement, and relates to the technical field of product traceability management, and the method comprises the following steps: building an accessory traceability reflection management file, carrying out the structural recording of management data and carved code appearance features related to traceability collection, and storing the recorded data in a database; and based on the management data, an anti-radio frequency flash feature table for tracing acquisition risk assessment is generated. According to the invention, by establishing an accessory traceability reflection management file and an anti-radio frequency flash characteristic table, correlation identification of light source parameters and metal surface characteristics is realized, reflection interference is pre-judged in advance, and the acquisition rhythm is optimized; by misjudging a trigger point set to reconstruct an illumination and exposure mode and combining a reverse exposure dark window and a scattered light shadow to suppress mirror reflection, imaging is stable, carved codes are clear, and traceability identification accuracy and reliability are improved.

The invention relates to a high-precision coupling device and method for a photon integrated sensing module, the device comprises a rack, a PIC positioning unit, an FA coupling unit, an SLD coupling unit, a PD coupling unit, a dispensing illumination unit, a side vision assembly and a backlight source assembly, the top of the rack is provided with a developing plate, the middle part of the rack is provided with an upward shooting camera, and the middle part of the rack is provided with an upward shooting camera; the dispensing illumination unit comprises an automatic XYZ moving assembly, a dispensing support, an illumination support, a high-angle shooting camera, a laser, an optical adhesive dispensing assembly and a high-angle shooting UV lamp holder, the automatic XYZ moving assembly independently drives the dispensing support and the illumination support to move, the laser is arranged on the illumination support, the laser obliquely irradiates the upper surface of the photon integrated sensing module, and the optical adhesive dispensing assembly is arranged on the lower surface of the photon integrated sensing module. And reflected light of the laser irradiates the developing plate. The method comprises the steps of feeding, pre-positioning, FA pasting and SLD pasting. The parallelism of the adjacent coupling parts is detected by using an oblique laser specular reflection imaging method, so that the optical precision is improved, the method is simple, and the effect is remarkable.

The invention relates to the technical field of optical detection, and particularly provides a mirror surface detection method for a large-aperture spliced telescope, which comprises the following steps of: emitting light from a focus position by using a light source, reflecting the light through a mirror surface of the large-aperture spliced telescope to enter a discrete lens arranged at the rear end, and splitting the light by using a spectroscope to obtain a split light beam; the first light beam enters the camera to obtain interference fringes of the splicing seams, the second light beam enters the optical switch to carry out aperture coding, and the mirror surface precision of the large-aperture spliced telescope can be determined according to the code of each splicing seam and the confocal and co-phase information of the sub-reflectors on the two sides of the splicing seam. According to the invention, splicing seam detection is carried out through focus reverse auto-collimation, the problem that an oversized collimator is needed traditionally is avoided, point-by-point detection is carried out on the sub-reflectors according to the splicing seam, and confocal and co-phase detection of the adjacent sub-reflectors is realized according to interference fringes.

A graphics processor is provided that includes circuitry configured to generate auxiliary motion vectors for higher-order light-based effects such as shadows, objects reflecting in mirrors, waves in water or other liquids, glossy surfaces, or objects visible through transparent and / or refractive glass. The circuitry is configured to apply light path constraints to simplify the calculations used to generate the auxiliary motion vectors.

The invention discloses a fire extinguishing robot control method and system based on multi-modal sensing and autonomous navigation, and the method comprises the steps: collecting environment temperature data according to a preset frequency through a thermal imager, and triggering early warning when an abnormal threshold value is reached; after early warning, the depth camera obtains a depth image, the depth image is processed through mirror reflection filtering and smoke filtering algorithms and input into a flame form recognition model to judge whether flame features exist or not, and if yes, a fire disaster is judged. And after the fire is confirmed, constructing a real-time model, planning an obstacle avoidance path and guiding the robot to a fire source according to a pre-stored three-dimensional / two-dimensional map in combination with a synchronous positioning and map construction technology. After reaching, adjusting the spraying angle of the fire extinguishing mechanism, and extinguishing fire by water mist / dry powder. During fire extinguishing, the real-time video of the fire scene and the fire source position data are uploaded to a fire-fighting command center in real time. The problems that in the prior art, autonomous fire extinguishing cannot be achieved, environment perception is poor, and early warning and fire extinguishing efficiency is low are solved.

The invention provides portable electric connector image acquisition equipment. The portable electric connector image acquisition equipment comprises an industrial camera, a lens, fixed focus glass, an annular light source, an inclined plane light guide ring and a shell, the industrial camera, the lens, the annular light source and the bevel light guide ring are installed in the shell, the fixed focus glass is installed at the front end of the shell and serves as a detection reference surface of the electric connector, and the distance between the end face of the electric connector and the lens is mechanically limited; the geometric center line of the annular light source and the central normal of the fixed-focus glass coincide with the optical axis of the lens; an inclined plane light guide ring is arranged between the annular light source and the fixed focus glass, and the inclined plane light guide ring secondarily guides an annular light beam to enter a measured end face and a hole wall to realize surrounding illumination; the positions of the annular light source, the bevel light guide ring and the fixed-focus glass relative to the lens meet the condition that the equivalent outer diameter of the annular light source on the end face is larger than the final imaging view field diameter of the camera on the same plane at the end face of the detected electric connector, and the entrance pupil aberration extension of a mirror reflection path generated by the fixed-focus glass falls out of the view field of the camera.

The invention discloses a long-distance binocular camera calibration optimization method based on multistage feature enhancement, and the method comprises the steps: carrying out the processing of a condition that a long-distance calibration plate has a highlight region and is fuzzy in angular points, employing a bilateral filter to suppress the reflection of a highlight mirror surface, reducing the reflection of light, and maintaining the definition of an image; the checkerboard texture is enhanced by adopting a CLAHE algorithm in combination with blocking processing and a contrast gain threshold value; a Sobel operator and a Harris corner response function are fused, gradient direction distribution characteristics of a pixel neighborhood are extracted through the Sobel operator, weighted fusion is carried out on the gradient direction distribution characteristics and the Harris corner response function, and the response intensity and specificity of a corner area are remarkably enhanced. A three-level image preprocessing framework including reflection suppression, contrast enhancement and corner enhancement is constructed, the problem of feature extraction of a traditional method under a complex illumination condition is solved, the corner area detection capability is enhanced, the problems of specular reflection noise, low contrast and corner blur are effectively solved, and the calibration precision is improved.

The disclosed method that may be used for eye tracking includes measuring, by a controller, a distance to an object (316) based on a combination of polarization information of detected light and time-of-flight information of the detected light, wherein the detected light results from at least one of scattering or reflection of a light beam from the object (316). The disclosed method additionally includes performing, by an artificial reality system that includes the controller, one or more user interaction procedures based on information that includes the measured distance to the object (316). A system includes a laser scanning polarization imager including and a detector system (302) including a plurality of photodetectors 304. Each photodetector (306) includes a polarizer (308) having a particular polarization direction oriented at zero, 45, 90 and 135 degrees. A light source (310) may include a vertical cavity surface emitting laser (VCSEL) to emit a light beam (312). A reflector (314), such as a MEMS scanner, directs the light beam (312) onto the object (316), such as an eye. Light (318), e.g., specular and / or diffusive, is reflected and / or scattered from the object (316) and detected by the detector system (302). A controller measures a distance to the object (316) based on this detected light (318). Additionally, the controller measures position and / or size of one or more regions (320) of the object, such as a pupil and / or cornea.

The invention discloses an AOI back inspection reflection inhibition method based on black flannelette pasting, and relates to the technical field of AOI detection, and the method comprises the steps: placing a to-be-detected silicon wafer on a silver gray aluminum material carrying platform; starting the AOI equipment to collect a background image; black flannelette is selected as a reflection inhibition material; black flannelette is attached to the center detection area of the silver gray aluminum material carrying table, and the light source perpendicular incidence area is of a double-layer structure formed by combining a bottom-layer reflective sticker and surface-layer black flannelette. After surface mounting is completed, the background image is collected again; and performing defect identification on the acquired background image, and outputting a detection report. According to the invention, through the physical light absorption characteristic of the black flannelette, the average gray value of the reflection area of the carrying platform is reduced, the high-intensity mirror reflection interference is effectively eliminated, the difference between the background gray level and the edge gray level of the silicon wafer after mounting is obvious, image analysis software can realize accurate edge searching by setting the minimum identification gray level threshold, and meanwhile, the edge searching precision is improved. The black flannelette can improve the background gray scale stability and reduce the interference of gray scale fluctuation on a threshold segmentation algorithm.

A vehicular driver monitoring system includes a vehicular interior rearview mirror assembly, with a mirror head that accommodates a mirror reflective element and a driver monitoring camera. The driver monitoring camera, with the mirror head adjusted to provide a rearward view for a driver of the vehicle, views at least a driver's head region of the interior cabin of the vehicle. A forward-viewing camera views a region exterior and at least forward of the vehicle and through a windshield of the vehicle. The driver monitoring camera and the forward-viewing camera transfer image data to an electronic control unit (ECU) that includes an image processor. The ECU is accommodated by the mirror head. The system, based on processing at the ECU of image data captured by the driver monitoring camera and image data captured by the forward-viewing camera, performs a driver monitoring function of the vehicle.

The invention relates to a packaging structure of a micro display chip and a display device, and the packaging structure comprises a substrate, the surface of which comprises a display area and a non-display area; the electrode pads are located in the non-display area; and a plurality of through hole plugs located in the substrate, wherein one end of each through hole plug is electrically connected with the electrode pad. In AR near-to-eye display application, the light absorption structure can effectively absorb stray light returned from components such as an optical waveguide and the like, secondary specular reflection of the metal electrode pad on the non-display area is avoided, ghosting is prevented from being formed, and the imaging contrast ratio and the picture purity are remarkably improved. The light absorption structure is integrated in the packaging structure, and a stray light feedback path is cut off through a physical means on the premise that normal light emitting of a display area and electrical connection of an electrode pad are not affected, so that the optical performance of the micro-projection ray machine is improved, the final display effect is guaranteed, and the display effect is improved. Therefore, the technical problem of image quality degradation caused by high reflectivity of the non-display area is effectively solved.

The invention discloses an RGB backlight partition display LED packaging module and a preparation method thereof, and belongs to the technical field of backlight display. The RGB backlight partition display LED packaging module comprises a substrate, an LED assembly, a barrier wall assembly and an optical transparent adhesive diffusion particle layer. The LED assembly is arranged on the substrate; the barrier wall assembly is arranged on the substrate and comprises a plurality of barrier walls, and the barrier walls are used for isolating an optical path; the optical transparent adhesive tape is used for isolating pollutants and carrying out primary light mixing on colored light emitted by the LED assembly; and the diffusion particle layer is used for converting the directionally propagated light into spatial random distribution so as to eliminate glare spots caused by specular reflection, and carrying out secondary light mixing on the colored light emitted by the LED assembly. According to the RGB backlight partition display LED packaging module provided for a user, the color levels displayed by the packaging module are effectively enriched, the image quality is improved, and the power consumption of a machine is reduced.

The invention discloses an electric mechanical arm dynamic path planning method based on thunder-vision fusion three-dimensional reconstruction, and relates to the field of dynamic path planning, and the method comprises the steps: obtaining a multi-modal discrete perception data stream in an electric robot operation scene, executing physical discretization and multi-dimensional verification to generate a physical verification multi-modal entity point cloud, and carrying out multi-dimensional verification on the physical verification multi-modal entity point cloud; manifold solidification is carried out on the physical check multi-mode entity point cloud to output a geometric friction feature mapping set, mirror reflection artifact and topological fracture detection is carried out on the geometric friction feature mapping set, a discontinuous topological broken area generated by dynamic shaking and high-reflectivity material coupling is identified, and the topological broken area is determined. And performing physical perception implicit field repair on the discontinuous topological broken region based on the geometric friction feature mapping set, and generating a collision-free dynamic gradient guide path, so that the generated dynamic gradient guide path can avoid those geometrically reachable but physically unreliable grabbing regions.