169 results about "Bright spot" patented technology

The invention provides a hull surface defect detection system based on machine vision, and relates to the technical field of data processing. The image correction module is used for carrying out illumination equalization processing and geometric distortion correction; the region construction module is used for identifying a defect-free stable region and generating reference region data which comprises a brightness model and a texture model; the candidate generation module is used for detecting a region where texture interruption or abnormal bright spots exist locally to form candidate defect data, and the candidate defect data comprise pixel positions and local contrast parameters; the stability judgment module is used for carrying out projection matching in the multiple frames of images and simultaneously carrying out joint comparison with the brightness model and the texture model of the reference area data to form real defect data and false defect data; the result output module is used for generating a detection result containing defect coordinates, defect contours, image frame numbers and interference sample prompts; the accuracy of hull surface defect detection is improved.

The invention relates to a light spot uniformity optimization method and system for a high-precision VCSEL device, and the method comprises the following steps: carrying out the light field collection of a light-emitting surface of the VCSEL device, obtaining the intensity distribution of original light spots, analyzing the non-uniformity of each light-emitting unit, and extracting the non-uniformity characteristics of the light spots. And carrying out deviation cause analysis based on the characteristics, and identifying device structure deviation parameters. According to the method, an etching process is optimized, a corrected oxidized aperture configuration scheme is obtained, near-field light field simulation is carried out by adopting a finite difference time domain method, and optimized light field distribution is verified and predicted. And finally, adaptive compensation design is carried out on the Bragg reflector structure based on a prediction result, light field regulation and control are realized, target light spot uniformity distribution is finally obtained, and the problem that systematic analysis and feedback control on non-uniformity causes of a light emitting unit layer in a device are lacked in the prior art is solved. And local bright spots or dark areas are caused.

The invention provides a machine vision light source control method and system, and the method comprises the steps: carrying out the spatial analysis of ambient light state data of a machine vision scene, obtaining the spatial distribution information of ambient light, and determining an ambient light illumination abnormal region on the surface of a target object through combining the spatial attitude information of the target object in the machine vision scene; based on the distribution state information of the abnormal ambient light irradiation area on the surface of the target object, adjusting the supplementary lighting irradiation state of the light source, analyzing the global image of the surface of the target object, determining the bright spot distribution information of the surface of the target object, and comprehensively positioning the area range with excessively concentrated brightness generated by supplementary lighting irradiation; based on the hot spot distribution information, the irradiation light intensity distribution of the light source is dynamically adjusted, and the corresponding optimal adjustment parameters are determined, so that the light emitting state adjustment or light ray state modulation is performed on the light source, a flexible and locally adjustable supplementary lighting mode is provided for machine vision recognition, and the applicability of the machine vision light source to different scenes is improved.

The invention relates to the technical field of nano particle heterogeneous reaction kinetic research, in particular to a nano single particle reaction rate measuring system and method based on optical surface wave dark field imaging. The method comprises the following steps: preparing a nano single particle sample; the humidity of the environment where the nano single particles are located is adjusted; starting a heterogeneous reaction of the nano single particulate matter, performing in-situ dark field imaging on the nano single particulate matter in the reaction process, and collecting scattering hot spot imaging data under different reaction times and different humidity; and based on the acquired imaging data, the reaction rate of the nano single particulate matter is inversed in combination with a kinetic model. According to the invention, the defects in the existing nano-particle reaction rate measurement technology can be overcome, and the reaction rate of a single particle as low as 50 nanometers in the heterogeneous reaction process can be accurately measured and inverted under the high-humidity standard atmospheric pressure condition.

The invention discloses a calcium carbonate sewage treatment intelligent monitoring method based on the Internet of Things, and relates to the technical field of environmental engineering, and the method comprises the following steps: constructing a multi-angle light beam scanning array, collecting a scattering reflection intensity matrix in real time, generating a hot spot candidate set through the matrix, and calculating an angle spectrum deviation coefficient corresponding to a pixel; the base line is used for establishing a bright spot identification base line; and based on the angle spectrum deviation coefficient, introducing a micro-area temperature difference mapping mechanism, collecting a micro-area temperature gradient curve, carrying out normalization comparison on the temperature gradient curve and the angle spectrum deviation coefficient, and extracting a synchronous transition point as a hot spot identification trigger threshold. Microbubble interference is shielded through the dynamic shielding mask, a turbidity monitoring window is corrected, bubble dissipation duration is calculated based on temperature difference attenuation, sedimentation judgment is delayed, advanced stirring and dosing stop caused by misjudgment is avoided, sedimentation sufficiency and water quality stability are improved, intervention frequency is reduced, and the method is suitable for treatment of industrial wastewater containing calcium carbonate particles.

The invention relates to the technical field of visual target analysis, and discloses a dynamic bright spot target statistics and analysis method based on visual tracking. According to the method, a reference video sequence is collected to construct a background model database, a real-time video stream data set is obtained, a visual bright spot target is detected, and an average brightness value is calculated as a detection reference threshold value. And a visual bright spot target is analyzed in combination with the background model database, and a potential abnormal bright spot target is identified and marked. And when a potential abnormal bright spot target exists, extracting spatial position information and movement track characteristics of the potential abnormal bright spot target, and judging whether the potential abnormal bright spot target is a real abnormal bright spot target. And after real abnormity is determined, calculating an initial risk assessment value according to the occurrence frequency, extracting morphological contour and size change features, and performing similarity grouping analysis by using a feature matching algorithm. And judging whether a dynamic flicker bright spot target exists or not according to an analysis result, if so, correcting an initial risk assessment value based on a flicker mode characteristic setting adjustment factor, and adjusting subsequent dynamic tracking frame rate setting according to the corrected value.

The invention discloses a sonar target motion identification method based on a low-frame-rate bright spot structure sequence. The sonar target motion identification method comprises the steps of 1, roughly intercepting a bright spot structure; 2, accumulating a bright spot structure, sonar platform information and tracking information; step 3, motion compensation of the sonar platform; 4, accurately intercepting a bright spot structure; and 5, searching the optimal radial speed. According to the method, target radial motion parameters are extracted by means of distance steep motion of a sonar target among multiple frames of echoes, and a speed estimation loss function based on bright spot structure global optimal estimation is innovatively designed for the problems that the time interval between adjacent echoes of a low-frame-rate sonar target is long and the bright spot structure fluctuates greatly. According to the method, the global similarity between input period bright spot structures is fully utilized, the distance steep motion measurement precision is improved, the radial speed of the sonar target can be given at the same time, and the motion identification precision and stability of the sonar target are improved.

The present application relates to a kind of for the determination method of liquid alloy density in electrostatic suspension state in space station, after obtaining the photo of liquid alloy in electrostatic suspension state in space station, first photo is converted into pixel matrix and carries out gray scale processing, then deduct photo background by matrix operation.Further, the best binary grayscale threshold of pixel matrix is calculated, and pixel matrix is carried out binary processing.Then all boundary coordinates in pixel matrix are obtained by matrix operation, and each connected boundary is distinguished.Excluding bright spot boundary, the boundary coordinates and center coordinates of liquid alloy are obtained.Then the boundary equation of liquid alloy is obtained by using multi-order Legendre equation fitting liquid alloy boundary coordinates.Finally, the volume of liquid alloy is obtained by rotating integral to the boundary equation of liquid alloy, and then the density value of liquid alloy is obtained.The density value of the present application can be obtained by processing liquid alloy photo, and can be used for the determination of containerless liquid alloy density in electrostatic suspension in space station.

The present invention discloses a method and system for identifying low-velocity mudstone based on attribute clustering. It includes: by analyzing the logging data and seismic data of exploration wells in the work area, dividing the low-velocity mudstone into bright spot type and non-bright spot type, and analyzing their characteristics. Establishing a three-layer medium model and conducting seismic forward modeling to obtain the seismic response characteristics of different models. Then, extracting and optimizing seismic attributes from the forward modeling results. Using the CLARA clustering algorithm and the PAM method to conduct clustering analysis on the attributes to identify the types of low-velocity mudstone and gas-bearing sandstone. The present invention improves the identification accuracy of low-velocity mudstone and gas-bearing sandstone, and provides technical support for exploration and well location deployment.

The utility model relates to the technical field of film bright spot product detection, in particular to a bright spot detection device of a polaroid, which comprises a working table, a feeding unit, a filter disc inspection unit, an optical positioning point identification unit, a bright spot detection unit and a discharging unit are sequentially arranged on the working table, the feeding unit comprises a moving module and a stock bin module, the moving module sucks the polaroid from the stock bin module and moves the polaroid to the filter disc inspection unit; a jig moving module of the filter disc inspection unit receives and bears the polaroid on the moving module, and a filter disc switching module of the filter disc inspection unit is used for selecting a filter disc corresponding to the polaroid; the bright spot detection unit comprises a manipulator, an adsorption jig, an adsorption jig moving module, a re-judgment camera and a warping detection camera, the manipulator sucks the polaroid on the jig moving module and carries the polaroid to the adsorption jig, and the adsorption jig moving module drives the adsorption jig to sequentially move to the re-judgment camera and the warping detection camera for shooting; and the full-automatic detection function of the bright spot film product is realized.

The invention belongs to the technical field of feature recognition of underwater complex targets, and relates to a boundary element-based multi-bright-spot cluster target interference feature estimation method, which comprises the steps of geometric model construction and introduction, numerical calculation based on multi-physics field coupling, echo intensity representation by adopting an angle-frequency spectrum, and analysis of resonance generated by multi-body interference. According to the method, a numerical model for solving a three-dimensional double-gas-cylinder omnidirectional scattering sound field is established based on a boundary element method, and omnidirectional and broadband scattering characteristics of a target in horizontal and vertical attitudes are calculated; a multi-bright-spot dual-target strong scattering coupling mechanism is mainly analyzed, and a multi-body configuration and single target scattering interference fringe generation mechanism is disclosed; according to the method, the inherent attribute characteristics of the single target can still be effectively identified in a cluster target scattering field; the mapping relation among the geometric configuration, the spatial arrangement mode and the frequency response is obtained, and a theoretical formula suitable for double-target sound scattering forecast is deduced.

A space surveillance method for detecting space objects in orbit around the Earth in images captured during the daytime, the method including the following steps: capturing a plurality of infrared images of the daytime sky using a camera including at least one infrared sensor, detecting space objects in orbit around the Earth on the basis of the images, the detection of bright spots being implemented by a deep-learning artificial intelligence system, and identifying each object detected from a catalogue of known space objects in orbit around the Earth.

According to the multi-frame reverberation suppression method based on combination of the alternating direction multiplier method and the low-complexity high-order nonlinear cumulant, underwater reverberation in inter-frame low-rank slow-change components in reverberation is suppressed through the alternating direction multiplier method; water surface reverberation, volume reverberation and noise in inter-frame sparse fast-change components are suppressed by using low-complexity high-order nonlinear cumulants, and continuous moving target bright spots are enhanced, so that an angle-distance sonar two-dimensional image with lower reverberation intensity and clear continuous target bright spots is obtained. Compared with the reverberation suppression performance of an existing low-complexity high-order nonlinear cumulant and multi-frame accumulation after processing of an existing robust principal component analysis method, the multi-frame reverberation suppression method combining the alternative direction multiplier method and the low-complexity high-order nonlinear cumulant has a better reverberation background suppression effect.

The invention discloses an airfield pavement crack monitoring and maintenance method based on an unmanned aerial vehicle and image recognition, and relates to the technical field of airfield pavement crack monitoring and maintenance, and the method comprises the following steps: an unmanned aerial vehicle carries a thermal imager and a multispectral camera to synchronously scan an airfield pavement through a PTPv2 clock protocol, and obtains multi-modal information of a temperature field and a reflectivity spectrum; establishing a thermal expansion coefficient inversion model, generating a dynamic reflection reference field, and setting an abnormal triggering mechanism to mark a deformation sensitive area; according to the method, a reflection suppression image is generated by establishing a thermal expansion coefficient inversion model and a hot spot physical model, so that multi-modal thermodynamic characteristic data and polarization-spectral characteristic data synchronously acquired by a thermal imager carried by an unmanned aerial vehicle and multiple sensors of a multispectral camera are fused, airfield pavement cracks are comprehensively and deeply detected, and the detection accuracy is improved. Therefore, micro cracks and hidden cracks are accurately identified, and the accuracy and reliability of crack detection are effectively improved.

The invention discloses a graph pattern generation method based on a Clarii graph, and relates to the technical field of information, and the method comprises the steps: constructing an extended fluorescent material calibration module, introducing a saturation critical light intensity reference value, and carrying out the calibration of the Clarii graph under the dual constraints of color temperature deviation distribution and brightness standard deviation; according to the method, the pattern contrast change condition is recognized through the adjusted pattern contrast, a correction index is formed, the LED backlight wavelength is corrected for the second time according to the correction index, pattern structure deviation information is fed back to a spectrum control link, and the color uniformity of the LED backlight is improved. According to the scheme, on the premise of ensuring uniform fluorescence response and inhibiting bright spots, dark spots and stripes, the Clariy pattern can be kept stable, clear and layered in an actual application environment.

The present invention discloses a method, system, device and medium for intelligent prediction of low-velocity mudstone, including: calibrating the target layer by combining well logging data, and dividing the layer into background mudstone, low-velocity mudstone, gas-bearing sandstone and dry-layer sandstone. Based on the division results, a large number of datasets for neural network training are generated through geological body evolution. A convolutional neural network (CNN) is constructed, and the input data is normalized to prevent gradient explosion. By training the model, an optimized neural network model is obtained. Using the AVO prestack inversion technology, the longitudinal and transverse wave velocities and density parameters are extracted from the prestack seismic data to assist in the identification of low-velocity mudstone. The processed data is input into the trained model to achieve intelligent prediction of low-velocity mudstone. The present invention can effectively improve the identification accuracy of medium-deep reservoirs, avoid misjudgment caused by the "bright spot trap" of low-velocity mudstone, and provide reliable technical support for oil and gas exploration.

The invention discloses an anesthesia preoperative risk assessment method and system based on multi-source data fusion, and relates to the technical field of medical informationization, and the method comprises the following steps: S001, building a cross-time-scale illumination and skin state combined observation baseline, injecting a micro-amplitude polarization mark in an image collection chain, and obtaining an image collection chain; extracting a hot spot track and a boundary definition curve through frame-by-frame image analysis, and constructing a time reference point set of a reflection behavior; and S002, based on the time reference point set, executing optical reflection decomposition on the observation image sequence, separating mirror reflection and diffuse reflection components under a unified light field model, generating a double-domain characteristic spectrum of a reflection domain and a blood flow response domain, and constructing an artifact risk map. According to the method, the time reference point and the polarization mark are constructed, illumination and reflection behavior modeling and separation are achieved, anti-fact playback, causal checking and dynamic regulation are combined, artifacts are accurately removed, real blood flow features are extracted, and the accuracy and stability of preoperative risk assessment are improved.

The invention provides an optical system and photocuring 3D printing equipment, and belongs to the technical field of printing equipment. The optical system comprises a plurality of light-emitting assemblies used for emitting light. A plurality of collimation assemblies, wherein one collimation assembly is arranged corresponding to each light emitting assembly; light of each light-emitting assembly penetrates through the collimation assembly and irradiates on a target plane to form an illumination area; the controller is electrically connected with each light-emitting component and is used for independently controlling each light-emitting component; the lighting areas of every two adjacent light-emitting assemblies are at least partially overlapped to form an overlapped area, and the light intensity of the overlapped area is 80%-120% of the light intensity of a non-overlapped area in the lighting areas. Wherein the plurality of light-emitting assemblies are independently controlled by the controller, and compared with a traditional full-on and full-off light source setting mode, light interference can be reduced, and the contrast ratio can be improved; the controller controls the opening number of the peripheral light-emitting assemblies, so that the light intensity of the overlapping area is 80%-120% of the light intensity of the non-overlapping area, the possibility that dark spots or bright spots appear in the overlapping area is reduced, and the good light uniformizing effect is achieved.

The invention belongs to the technical field of optical equipment detection, and particularly relates to optical lens defect detection equipment which comprises a bottom plate, a supporting column rotationally installed on the bottom plate, a telescopic pipe fixedly installed at the top end of the supporting column, a suction cup fixedly installed at the top of the telescopic pipe, and an electric push rod fixedly installed in the supporting column. A round block is fixedly installed at the output end of the electric push rod, a sliding groove is formed in the bottom plate and located on one side of the supporting column, and a sliding plate is slidably installed in the sliding groove. According to the whole device, the edge of the outer lens of the lens does not need to be manually coated with ink by personnel, the working efficiency of the personnel is greatly improved, meanwhile, dust attached to the surface of the lens can be scraped out, part of incident light rays cannot be shielded, shadows or scattered light spots cannot be formed, and the situation that the detection result is affected due to abnormal dark areas or bright spots in a detection image is avoided.

The present application relates to the technical field of visual target analysis, and discloses a dynamic bright spot target statistics and analysis method based on visual tracking. The method collects a reference video sequence to construct a background model database, acquires a real-time video stream data set, detects visual bright spot targets and calculates average brightness values as detection reference thresholds. The visual bright spot targets are analyzed in combination with the background model database to identify and mark potential abnormal bright spot targets. When there are potential abnormal bright spot targets, their spatial position information and motion trajectory features are extracted to determine whether they are real abnormal bright spot targets. After being determined as real abnormal bright spot targets, initial risk assessment values are calculated according to the occurrence frequencies, shape contour and size change features are extracted, and a feature matching algorithm is used for similarity grouping analysis. According to the analysis result, it is determined whether there is a dynamic flickering bright spot target. If there is, an adjustment factor is adjusted based on the flickering mode features to correct the initial risk assessment value, and the subsequent dynamic tracking frame rate is set according to the corrected value.

The application relates to the field of image processing, in particular to an LED double-lamp recognition method and device based on a monocular camera, equipment and a medium. The method comprises the following steps: ensuring data real-time by collecting video frames at a preset frequency, accurately distinguishing constant light and flickering light spots by using bright spot recognition and feature screening, and effectively excluding environmental interference; accurately associating the double-lamp spots of the same vehicle in space and time by using an association matching technology, and improving the accuracy of target vehicle recognition; predicting the vehicle trajectory based on Kalman filtering and other algorithms, and comprehensively judging the line-crossing event by combining the line-crossing time difference and the speed condition, which not only improves the smoothness and anti-interference ability of vehicle trajectory prediction, but also enhances the reliability and accuracy of line-crossing detection, so that the method has high robustness and practicality in complex scenes.

The invention discloses a household oral health monitoring system and method based on image recognition, and is suitable for performing adjacent surface demineralization monitoring of multi-frame angle scanning shooting on a target adjacent surface contact point neighborhood under the condition of light supplement by a user handheld device in a household non-diagnosis and treatment environment. Aiming at the problems that a deep reflective strong bright spot is easily formed in an interdental space through region and is overlapped with a suspected demineralization bright spot on an adjacent surface shallow layer to induce a false focus, so that the risk score is unstable, and the risk score fails and lacks a re-mining basis, a blinding highlight area index sequence is constructed in the interdental space through region and a step blanking index is calculated; determining a cut-in point and a cut-out point of a measurement window by combining single-side shielding shadow boundary propulsion and a boundary quality threshold, extracting demineralization candidate responses only in the window, generating a normalized difference result based on attitude baseline calibration, and outputting an adjacent surface demineralization suspected area and a demineralization risk score; and when the window is not closed or too short, outputting a degradation mark and remining guidance and applying confidence punishment to the risk score.

The utility model relates to the technical field of lighting equipment, and discloses a lamp. The lamp comprises a light guide plate which comprises a front face, a back face and a side face serving as a light inlet face, and the light inlet face is provided with a convex arc-shaped area which is provided with a concave-convex structure; the lamp strip is matched with the light guide plate in shape and surrounds the light inlet surface of the light guide plate; a containing cavity is formed in the lamp holder, the light guide plate and the lamp strip are arranged in the containing cavity, the front face of the light guide plate faces the opening direction of the containing cavity, and the back face of the light guide plate faces the bottom face of the containing cavity. The arc-shaped area is provided with the concave-convex structure, the concave-convex structure can scatter light rays, the path of the light rays entering the light guide plate is changed, and therefore light ray focusing is avoided. The direction and distribution of the light are adjusted through the concave-convex structure, it is ensured that the light can be evenly spread in the light guide plate, formation of local bright spots and virtual images is remarkably reduced, and the overall lighting uniformity and the visual comfort degree are improved.

The present invention discloses a method, device and storage medium for calibrating the magnitude of a full-field instrument. The method is as follows: taking a star map, detecting and clustering the entire field of view to obtain a large number of bright spots; extracting observed stars, performing photometry and positioning on all bright spots to obtain the position, gray scale, uncertainty and zenith angle; matching the observed stars with a star catalog, and after successful matching, recording the following information, including the stellar magnitude, position, gray scale and uncertainty corresponding to the observed stars; dividing the full field of view into regions, counting all the stars that have been successfully matched in all frames within the region, fitting them by weighted least squares, and recording the zero points of the instrument magnitude obtained in different regions; performing polynomial interpolation on the zero points of the instrument magnitude in different regions of the full field of view to obtain the zero point correction at different fields of view; repeating the above steps at different time periods to obtain an accurate correction method for the on-orbit instrument magnitude of the full time period. The present invention can calibrate the on-orbit instrument magnitude of optoelectronic devices.

This invention proposes a device and method for suppressing zero-order diffraction spots of a spatial light modulator based on a coaxial optical system. The device comprises a laser coupler, a spatial light modulator, a movable coaxial optical system, and a subsequent imaging system, all coaxially connected via a cage-like fixing assembly. The coaxial optical system includes a first lens, a blocking assembly, and a second lens. The method includes the following steps: S1, a laser source is coupled through the laser coupler and then incident on the spatial light modulator for phase modulation, forming a composite reflected beam containing modulated and unmodulated light; S2, the composite reflected beam is introduced into the coaxial optical system for filtering; S3, the filtered beam is output to the subsequent imaging system to obtain a holographic image with suppressed bright spots. In this application, no modifications to the hardware structure of the spatial light modulator or the holographic algorithm are required. Zero-order diffraction suppression can be achieved by introducing a combination of focal plane separation and anti-pinhole blocking in the optical path, resulting in a simple and easy-to-implement structure.

The invention discloses a bright spot model gradient phase change-based sound field regulation and control calculation method, which relates to the technical field of acoustic metasurfaces and comprises the following steps of: defining frequency parameters for carrying out sound field regulation and control; calculating a target surface bright spot, and determining a main scattering position; after surface bright spots are calculated, an acoustic metasurface is arranged at the position where scattering is strong for regulation and control; finite element software is used for verifying or verifying whether the result of fragment superposition is consistent with the result of directly calculating the fragment bright spot model or not through a theoretical solution, and if yes, the fragment bright spot model method is correct; solving a scattering sound field by using a fragmented bright spot model method and phase change; and quickly calculating scattering characteristics of the acoustic metasurface. According to the sound field regulation and control calculation method based on the gradient phase change of the bright spot model, the bright spot model method is used, the gradient change phase is given, regulation and control of the scattering sound field can be achieved, and rapid calculation of the acoustic metasurface is achieved by setting the appropriate phase.

The invention relates to the technical field of low-frequency sonar systems, in particular to an active azimuth history graph suspected target prompting method based on image segmentation, which comprises the following steps: firstly, carrying out binarization processing on an active azimuth history graph through a maximum between-class variance method, then, carrying out morphological processing and connected region analysis on a binary image to realize 8 connected region marking, and finally, carrying out image segmentation on the image; secondly, calculating the area and the mass center of each connected region, filtering the region with the large area to obtain a discrete target region mask image, multiplying the discrete target region mask image with an original binary image to obtain a discrete target region image, and finally, carrying out BFS search on the mass center of each discrete target region to obtain a discrete target region image; and calculating the sum of the Euclidean distances between the active azimuth history graph and five nearest connected regions, marking the mass centers of five discrete target regions with the maximum Euclidean distance sum on the active azimuth history graph, and realizing isolated bright spot positioning, thereby realizing automatic prompting of suspected targets in the active azimuth history graph of the sonar system so as to reduce the difficulty of target identification of a worker.

The utility model discloses a light strip structure; the light strip structure comprises: a light strip, a number of light beads are evenly installed on the light strip, the outer periphery of the light beads is covered with a first light-transmitting astigmatism layer, the periphery of the first light-transmitting astigmatism layer and the light strip is covered with a second light-transmitting astigmatism layer, and a portion of the second light-transmitting astigmatism layer is covered by a light-protecting layer, so that the light emitted by the light bead passes through the first light-transmitting astigmatism layer and then exits through the area where the light-protecting layer does not cover the second light-transmitting astigmatism layer.The utility model has a first light-transmitting astigmatism layer on the periphery of the light bead, and the light emitted by the light bead is first evenly scattered by this layer, reducing the bright spots or points of light that can be generated when the light is emitted directly by the light bead, making the light initially soft, and then the light passes through the second light-transmitting astigmatism layer, which further diffuses the light, making the light distribution more even and avoiding the problem of light glare.

The invention discloses an optical module for a vehicle lamp, the vehicle lamp and a vehicle, and relates to the technical field of vehicle parts. The optical module comprises a light source and a thick-wall part, and a light incident surface, a reflecting surface and a light emergent surface are formed on the thick-wall part; the light incident surface faces the light source and is used for receiving light rays emitted by the light source; the reflecting surface is a curved surface formed by sequentially connecting a plurality of reflecting units, and the reflecting units are used for reflecting light from the light incident surface to the light emergent surface. According to the optical module, bright spots can be effectively prevented from being generated when the optical module is not lightened so as to maintain the attractive appearance, and light can be evenly distributed when the optical module is lightened so that the lighting effect, the driving safety and the use experience can be improved.

This invention discloses a non-contact contact wire geometric parameter measurement algorithm based on a monocular camera. Utilizing an industrial camera, inertial navigation system, and infrared laser equipment, combined with camera calibration and image processing algorithms, it implements an automatic exposure algorithm to adapt to detection needs under different lighting conditions. It also utilizes inertial navigation signals to intelligently open and close the detection equipment based on train start and stop times, implements a line-changing detection algorithm that effectively records line-changing data, and implements a bright spot tracking algorithm that significantly improves detection speed and reduces program load. These algorithmic innovations enable high-precision, real-time, and automatic measurement of contact wire pull-out and guide height values, thus providing reliable support for rail transit operation and maintenance.