256 results about "Checkerboard" patented technology

The invention provides a method and a system for improving intelligent decision-making ability based on multi-modal learning fusion. The method comprises the following steps: acquiring chessboard image data, strategy text data and historical match chess manual data; processing the chessboard image data by using a convolutional neural network, and extracting spatial features; processing the Go related strategy text by using a natural language processing model, and extracting semantic features of the text; extracting historical chess manual characteristics, namely common strategies and decision modes, from the history game chess manual data; extracting features of different modes by using a multi-mode neural network model, and introducing an attention mechanism to fuse and weight the features of the different modes to generate comprehensive feature representation; based on the fused comprehensive feature representation, a comprehensive decision network model is used for strategy selection and optimization; the method can generate a more accurate and comprehensive Go strategy, not only improves the ability of Go AI to understand and cope with complex situations, but also has the application potential of future multi-modal information fusion in other strategic game fields.

The invention relates to the technical field of computer vision, image recognition and intelligent medicine management, in particular to a medicine bottle label content recognition method based on multiple cameras and YOLOv8. The method at least comprises the following steps: S1, deploying a medicine bottle label generation system, and generating a label; s2, multi-camera image acquisition and preprocessing; s3, carrying out chessboard calibration and space positioning; s4, medicine bottle label detection and label character recognition and structured analysis; and S5, system integration and application. According to the invention, through combination of multi-camera and multi-angle acquisition and checkerboard calibration positioning and combination with YOLOv8 label detection and OCR identification, high precision, high efficiency, end-to-end automation and system integration of medicine bottle label identification are realized, the defects of precision, efficiency, environmental adaptability and management integration in the prior art are overcome, and the system is suitable for popularization and application. The method has obvious technical advantages and practical value.

The invention provides a laser, inertia and image recognition combined calibration method and system. Comprising the following steps: setting a parameter calibration checkerboard on a marble platform for detection, and leveling the parameter calibration checkerboard; carrying out inertial navigation IMU static parameter calibration and inertial navigation IMU dynamic parameter calibration on the inertial navigation IMU, and correcting an inertial navigation IMU error; irradiating laser spots of a laser into the parameter calibration checkerboard, shooting the parameter calibration checkerboard from different angles through a machine vision camera, and obtaining a parameter calibration checkerboard photo set; and joint calibration of parameters of a machine vision camera, an inertial navigation IMU and a laser is carried out, and automatic correction of external parameters of various precise positioning measuring instruments and high-precision measurement of local space are realized.

The invention discloses a multi-scale three-dimensional reconstruction system and method based on dynamic optimization. The method is characterized by comprising the following steps: A, inputting and preprocessing; b, sampling the expandable self-adaptive chessboard; c, depth estimation of layered optimization; d, performing dynamic weight multi-view point cloud fusion; e, performing global optimization; and F, outputting. Compared with the prior art, the method has the advantages that after extensible self-adaptive chessboard sampling, a layered optimization depth estimation method and a dynamic weight multi-view point cloud fusion strategy are fused, the method has the following advantages that 1, the innovativeness of extensible self-adaptive chessboard sampling is achieved; 2, the accuracy of the depth estimation method based on hierarchical optimization is improved; and 3, adaptability of the dynamic weight multi-view point cloud fusion strategy.

The invention discloses an oral cavity three-dimensional scanning system and a control method thereof, electronic equipment and a storage medium, and relates to the technical field of oral cavity three-dimensional scanning. The method comprises the following steps: controlling a projection module to alternately project white light and projection fringes generated based on Debrueine coding on a preset chessboard graph in different time periods towards a target; controlling the target to move, and controlling the imaging module to shoot a plurality of target images towards the target; the target image comprises a coding stripe image collected at the same position and a checkerboard image collected under white light; the multiple checkerboard images are calibrated to obtain imaging calibration parameters of the imaging module, meanwhile, after the multiple coded stripe images are calibrated to obtain projection calibration parameters of the projection module, a system calibration result is determined, and calibration is completed; and performing three-dimensional reconstruction processing based on the system calibration result on the to-be-reconstructed object to obtain a three-dimensional reconstruction result. The calibration efficiency and the calibration accuracy when the oral cavity three-dimensional scanning system is calibrated can be improved.

The invention discloses a dual-light registration and infrared camera calibration method, which comprises the following steps of: synchronously acquiring a visible light image and an infrared image, and acquiring multiple groups of dual-light image pairs under different distances within a preset object distance range; cross-modal feature key points are extracted, a matching corresponding relation is established, registration parameters under object distances are generated, and a dynamic compensation database is constructed; lead arrays are embedded in a plurality of horizontal edges and a plurality of vertical edges of a traditional checkerboard calibration plate, and leads are driven to generate uniform heat radiation; checkerboard corner coordinates are accurately extracted based on developed heating side lines in the infrared image, a real-time target detection model software deep learning model is utilized to construct a multi-scale feature fusion network, and combined geometric fitting is carried out on checkerboards in the bimodal image; and carrying out adaptive region segmentation on the fitted checkerboard, and reconstructing a black and white alternate state of the visible light checkerboard. The technical problem of registration failure in a complex environment can be solved, and the stability and repeatability of calibration are improved.

The invention discloses a method for ecologically controlling pests in a citrus orchard, which comprises the following steps of: preparing mint, salvia officinalis and ageratum conyzoides in a ratio of 1: 1: 1 in the middle of the citrus orchard to form a strip-shaped or chessboard-shaped layout with the coverage area of 30-50%, and synergistically repelling the pests and attracting natural enemies by utilizing plant volatile matters; the method specifically comprises the steps that an intercropping belt is arranged at the position 1 m away from citrus trees, the belt width is 2 m, and the plant row spacing is 30 cm * 40 cm; citrus field planting is conducted, transplanting is conducted in spring of the next year, organic fertilizer and regular pruning and covering (three times every year, soil covering is conducted after smashing, and wood vinegar is added) are combined; mint releases menthol, salvia officinalis releases eucalyptol to expel parasites, ageratum conyzoides attracts predatory mites to control red spiders, and mineral oil and a yellow sticky card are supplemented for prevention and control; aiming at facility cultivation, LED supplementary lighting (red light: blue light: white light = 3: 1: 1) and fan diffusion volatile matters are additionally arranged. The use of chemical pesticides is reduced by 40% or above, the pest population density is reduced by 50%-70%, meanwhile, the diversity of soil organic matter and microorganisms is improved, and the method is suitable for open-air and greenhouse citrus orchards.

The invention discloses a checkerboard calibration point extraction method, electronic equipment and a computer storage medium. The checkerboard calibration point extraction method comprises the following steps: acquiring a checkerboard image; sampling a neighborhood image in a preset range corresponding to each pixel point by taking each pixel point in the checkerboard image as a center; performing angular point preliminary screening on each neighborhood image to obtain an angular point neighborhood image; performing region feature extraction on each corner neighborhood image to obtain a region feature value; and performing corner screening according to the region feature value of each corner neighborhood image to obtain a checkerboard calibration point. By adopting the method, the checkerboard calibration points can be screened out through the regional feature values of the corner neighborhood images, so that the problem of checkerboard calibration point detection failure or precision reduction is avoided.

The invention discloses a checkerboard calibration board angular point screening method, device and equipment and a storage medium, and relates to the technical field of visual processing. The method comprises the following steps: acquiring all angular points of a calibration board on a checkerboard to be detected by using an angular point detection algorithm, and constructing a first angular point set; performing feature analysis on each angular point in the first angular point set, comparing the feature value of each angular point with a first preset threshold value, and reserving the angular points within the range of the first preset threshold value to construct a second angular point set; screening out calibration target areas of black checks on the checkerboard calibration plate; constructing a circumscribed polygon surrounding the calibration target area; and judging whether the angular points in the second angular point set are located inside the circumscribed polygon, and reserving the angular points located inside the circumscribed polygon to construct an effective calibration point set. By screening out the effective area of the calibration plate, the calibration point is only located on the checkerboard, and angular points on a non-checkerboard calibration plate are avoided, so that the robustness of checkerboard calibration is improved.

The invention discloses an automatic recovery method for a narrow-space unmanned rotorcraft of a maritime mobile platform. The method comprises the following steps: step 1, the maritime mobile platform sends a withdrawal instruction and a body position instruction; step 2, the rotor unmanned aerial vehicle captures a maritime mobile platform by using an extensible FPN algorithm and moves to a position above the platform; step 3, the rotor unmanned aerial vehicle uses an extensible FPN algorithm to identify a recovery area checkerboard, captures checkerboard vector information, and starts to descend to approach the recovery area; 4, the unmanned rotorcraft descends to the position 10 meters away, the unmanned rotorcraft obtains an RTK signal, and a geodetic coordinate system is converted into a relative coordinate system of a recovery system; and step 5, after passing through the functional support column with the height of 2 meters, the rotor unmanned aerial vehicle can slowly land on the vector checkerboard according to the accurate elevation information of the infrared distance meter. The method has the characteristics of no need of personnel participation in the whole process, outstanding safety and accuracy and high recovery efficiency.

The invention provides a calibration method suitable for a single-camera high-precision scanning system. The calibration method comprises the following steps: S1, carrying out area array mode calibration on a linear array camera; by adjusting the exposure time of the line-scan digital camera, moving the base station to image at different positions of the checkerboard, and solving internal parameters and distortion parameters of the line-scan digital camera; s2, line scanning mode calibration; performing line scanning imaging on the checkerboard to obtain pixel coordinates of angular points of the checkerboard; and separating the actual rotation angle of the checkerboard from the projection error, and further deducing the rotation angle of the real camera, thereby completing calibration. According to the calibration requirement of the linear array camera in a scanning imaging scene, a two-stage algorithm combining area array mode modeling and linear scanning imaging correction is provided, and the problem that a traditional calibration method is not applicable under the condition that a single camera is fixed and moves in a single direction is effectively solved.

The invention relates to the technical field of computer vision and image processing, and particularly provides a single-camera panorama splicing system and method, and the method comprises the steps: employing a 12 * 9 checkerboard to shoot a plurality of images at different angles and different distances, and obtaining an internal reference matrix and a distortion coefficient of a camera; adjusting the camera to a position where the optical center coincides with the rotating shaft by adopting an optical center alignment method; driving the camera to rotate, and shooting a plurality of to-be-spliced images covering 360 degrees; and splicing the to-be-spliced images into a complete image by adopting image distortion removal, spherical coordinate system conversion and gradient fuzzy fusion methods. The problems of high hardware cost, chromatic aberration, parallax, low splicing automation degree and the like existing in a multi-camera shooting scheme in the prior art are solved, and low-cost, high-precision and full-automatic seamless panorama splicing is realized through optical center accurate alignment, spherical coordinate system conversion and brightness equalization algorithms.

The invention discloses a transformer rack installation process detection method based on key point detection, and relates to the technical field of installation process detection, and the method comprises the steps: preparing a standard checkerboard target and an image collection device for scale calibration and image collection; collecting and processing the image; key points are automatically marked on the collected image, and the positions of the marked key points are detected by using a YOLOv8 model; a checkerboard target is used for determining the proportion of pixels to the actual distance, and the actual distance between the key points is calculated; recording actual distance data of the key points, performing trend analysis on a distance detection result, and displaying the distance detection result to a user through a report or an application program. Scale calibration is carried out through the standard checkerboard target with the fixed size, the accuracy of the measurement result is ensured, efficient and accurate key point detection is carried out through the YOLOv8 model, automation of key point detection and distance calculation is achieved, and the detection efficiency is improved.

The invention relates to a long water tank mobile surface flow field measurement method, which comprises the following steps: utilizing a river channel local scouring experiment model, the model is a water tank, and the middle part of the water tank is provided with a vertical support rod for simulating a building component; a constant-speed motion traction camera device is built above a water tank, so that a mobile camera moves at a constant speed at a certain inclination angle, meanwhile, water flow in the water tank is shot, and a water flow surface flow field is obtained through calculation according to a shooting result. The method comprises the following steps: performing perspective transformation processing on an obtained image to obtain a continuous front view image, identifying checkerboard control points to position each frame of corrected image, and cutting a tracer particle image by using coordinates of intelligent identification side wall control points. After surface tracer particles are extracted through a morphological method, flow field splicing is carried out on instantaneous flow fields at different moments to obtain a surface flow field in a large range, the problems that traditional fixed flow field measurement is low in precision and small in range are effectively solved, and an effective technical means is provided for hydraulic structure research and water body monitoring.

The invention relates to the field of spectral imaging, in particular to a checkerboard Fabry-Perot interference snapshot imaging spectrometer, which comprises a telescopic system, a micro-lens array, a Fabry-Perot array interference system and an area array detector, and is characterized in that the telescopic system is used for collecting a target light field and carrying out view field limitation and collimation on the target light field; the Fabry-Perot array interference system is used for modulating a target light field into an interference light field array and comprises a parallel flat plate and a checkerboard step mirror, the step height is distributed in a checkerboard-shaped two-dimensional decreasing mode, and an air gap with the thickness changing in a two-dimensional increasing mode is formed between the parallel flat plate and the checkerboard step mirror. The thickness of each area of the air gap corresponds to one optical path difference; the microlens array is used for imaging the interference light field array onto the area array detector through each imaging channel; and the area array detector is used for receiving the transmission image field of the microlens array to obtain an interference image array. The invention has the advantages of small volume, light weight, compact structure, static state, stability, reliability and the like.

The invention discloses a robot hand-eye calibration method based on radar camera joint calibration. The robot hand-eye calibration method comprises the following steps that a mechanical arm and a depth camera are installed on a robot; chessboard information in a color two-dimensional image collected by a camera is extracted, coordinate points of a chessboard in the image are detected according to a semantic segmentation method, and then the camera is calibrated; according to the calculated camera parameters, radar data and image data, 3D-2D point pairs of the point cloud data of the circle center and the image data are obtained; optimizing camera parameters according to the joint calibration of the radar and the camera; and carrying out camera and mechanical arm hand-eye calibration according to the camera installation mode. The single checkerboard calibration plate is adopted to calibrate the camera, and the checkerboard in the calibration plate is provided with four round holes, so that the edge of the point cloud, angular points in the image and other depth discontinuous characteristics can be fully utilized during detection, and the obtained solution is more accurate and has higher robustness.

The invention provides a camera calibration method and device, electronic equipment and a storage medium, and relates to the field of camera calibration, and the method comprises the steps: obtaining a general parameter matrix of a target camera, the general parameter matrix comprises an initial internal parameter and an initial distortion parameter, and the general parameter matrix is determined by using a standard calibration method for the target camera; an initial external parameter matrix of the target camera is calculated based on the conversion relation between the physical coordinates of the angular points in the checkerboards and the pixel coordinates under the checkerboard photos under the checkerboard photos of at least two different view angles, and the initial external parameter matrix comprises initial external parameters corresponding to the checkerboard photos of at least two different view angles; constructing a target function based on the re-projection error of the angular points in the checkerboard; and solving an optimal solution for the target function, wherein a parameter corresponding to the optimal solution is a calibration result of the target camera. The technical problems of multiple operation procedures and long algorithm processing time caused by the fact that a large number of checkerboard pictures need to be shot for camera calibration in the prior art can be solved.

The invention provides a passive vision positioning method and device based on multi-constraint measurement-free calibration, relates to the field of computer vision and pedestrian positioning, and aims to accurately align a lower right corner point of a checkerboard calibration plate with a control point in a navigation coordinate system and ensure that the checkerboard calibration plate is axially aligned with the navigation coordinate system. And constructing translation and rotation relation constraints of the checkerboard calibration plate and the navigation coordinate system. And performing camera calibration by using a Zhang Zhengyou calibration method, and calibrating an external parameter calibration result by using the constructed constraint relationship. And finally, external parameters participating in calibration in the camera are applied to the CCM model, coordinate mapping is completed through the CCM model by using pedestrian pixel coordinates, and pedestrian positioning is realized. According to the passive vision positioning method and device based on multi-constraint measurement-free calibration, high precision is shown on both low and high floors, particularly, the obvious advantages are achieved on the low floors, manual measurement is not needed, and the application limitation of a traditional method is effectively broken through.

The invention relates to the technical field of heat exchangers, and discloses an additive-manufactured checkerboard micro-channel heat exchange core body and a split-flow type lead-out structure thereof, the additive-manufactured checkerboard micro-channel heat exchange core body comprises a heat exchange core body, and a plurality of cold side flow channels and hot side flow channels which are arranged in a checkerboard staggered mode are arranged in the heat exchange core body; the leading-out section comprises a cold side fluid inlet and outlet structure and a hot side fluid inlet and outlet structure; the at least one transition section is connected to one end or two ends of the heat exchange core body; the cold side connecting pipe comprises a cold side inlet connecting pipe and a cold side outlet connecting pipe; and the hot side connecting pipe comprises a hot side inlet connecting pipe, a hot side inlet connecting pipe and a hot side outlet connecting pipe. Through the checkerboard micro-channel core body and the integrated shunting type lead-out structure, the heat transfer efficiency and the heat exchange area utilization rate are remarkably improved, meanwhile, the compact structure, uniform fluid distribution and low flow resistance are achieved, and the defects of a traditional printed circuit board heat exchanger and a complex topology additive heat exchanger in the aspects of performance, size and integration are effectively overcome.

The invention relates to a camera lens focusing definition analysis method and system, and the method comprises the steps: obtaining a checkerboard image collected by a to-be-tested camera lens module; performing angular point detection on the checkerboard image to obtain angular points of checkerboards in the checkerboard image; determining a test area from the checkerboard image based on the angular points of the checkerboard, and calculating a definition index of the test area; and performing subdivision statistics on the definition index of each test area based on the sagittal direction and the meridian direction of the camera lens to obtain the definition index of the camera lens module to be tested after subdivision statistics. According to the invention, the method achieves the automatic determination of the test region based on corner detection, can efficiently obtain the definition index, achieves the subdivision and statistics of the indexes in the sagittal direction and the meridian direction of the camera lens, can achieve the complete definition evaluation of the whole imaging view, helps a camera production process to improve the efficiency, and improves the production efficiency. The problem of low efficiency in existing camera focusing debugging is solved.

The invention provides an automatic calibration method for a numerical control rotary table, which belongs to the technical field of machine vision, machining and automatic control, and comprises the following steps: controlling the rotary table to rotate at the same angle and direction for multiple times, and acquiring a calibration plate image by using a camera after each rotation to obtain an image set; calibrating the internal reference of the camera according to the calibration plate, calculating the angular point position of the checkerboard in each calibration plate image, and calculating the external reference of the camera according to each angular point position; converting each angular point in each calibration plate image into a space point under a world coordinate system, acquiring a circle center fitting initial value by calculating a vertical bisector by using the space point, and performing circle center fitting to obtain a plurality of circle center points; the spatial position of the rotating shaft is determined through straight line fitting, and a transformation matrix for achieving rotation and translation is obtained. The method can improve the calibration efficiency and precision, reduces the manual intervention, and is suitable for various precise machining and automatic control scenes.

1. Name of the product in this design: Chessboard. 2. Purpose of this design: For use in chess games. 3. The key design elements of this product are the combination of shape, pattern, and color. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The design for which protection is sought includes color.

This invention provides a testing method, system, electronic device, and storage medium for camera modules. The method includes: acquiring the center coordinates of a checkerboard image as a base point; analyzing and processing the checkerboard image to obtain target black blocks and analyzing and processing the target black blocks to obtain their center coordinates; processing the base point and center coordinates using a first algorithm to output adjustment data; and outputting adjustment information based on the adjustment data. By analyzing and processing the original checkerboard image to obtain adjustment data and adjustment information, the checkerboard image can be automatically adjusted according to the adjustment information, ensuring that the relative position of each test module to the checkerboard remains stable, avoiding test errors, and improving test efficiency.

The invention discloses a non-overlapping-area multi-camera attitude calibration method, and belongs to the technical field of computer vision. According to the method, a checkerboard perpendicular to the gravity direction is hung in front of each camera, and images are independently collected at different positions under the static condition; solving a rotation matrix from the camera to the checkerboard coordinate system at each position through a PnP algorithm, and projecting a gravity direction unit vector in the checkerboard coordinate system to each camera coordinate system to obtain a gravity projection coordinate; an error minimization model is constructed based on the consistency of gravity projections between the two cameras, and a relative rotation matrix between every two cameras is solved through singular value decomposition in combination with orthogonality and determinant constraints. According to the method, the gravity projection vector is extracted from the image independently acquired by each camera by utilizing the physical priori of the vertical suspension checkerboard and the gravity direction, the multi-camera relative attitude calibration method without common view, synchronization and auxiliary sensors is constructed, and rapid, low-cost and high-universality external parameter calibration is realized.

The application provides a method for solving pseudo edges and checkerboards based on an improved MBLLEN enhanced network, comprising the following steps: S1, downsampling structure; S2, downsampling structure optimization; S3, secondary downsampling; S4, upsampling structure selection; S5, upsampling structure optimization; S6, contact context feature map information; S7, secondary upsampling; and S8, contact context feature map information again. Due to the defects of the network structure of MBLLEN itself, it is inevitable that the defects of pseudo edges and checkerboard effects occur in the general image enhancement of real scenes. Through the modification of the application, on the one hand, the hard defects of the original structure are solved, and the occurrence of pseudo edges and checkerboards is avoided, on the other hand, the expression ability of the network is enhanced, and the training set exposure interval is not fixed, and good convergence can be achieved. The feature map is reduced, and the required computing power of the model is reduced. The context information is contacted, and the information loss of the simple linear structure is avoided.

The application provides a test scheme for checking data retention performance of NOR type Flash memory, focuses on the influence of erase-write cycles on the data retention performance, unifies the erase-write cycle number of the Flash memory test, stipulates clear temperature selection criteria, provides a reference for the Flash memory related test, and comprises the following steps: step one: determining the basic test algorithm of the NOR type Flash memory as the Checkerboard algorithm from the algorithm design complexity and the fault coverage; step two: improving the Checkerboard algorithm process and determining the data retention fault determination step; step three: carrying out a pre-experiment to determine the data retention performance test temperature, erase-write number and sample number of the NOR type Flash memory; step four: determining the erase-write number of the data retention test at normal temperature and the sample number under each erase-write number; step five: determining the test pattern, failure criterion, test duration and test cycle; step six: carrying out the data retention test combined with the erase-write cycle based on the non-replacement timing truncation test; and step seven: test data processing, fitting the average failure time under different erase-write numbers with the erase-write number to obtain the corresponding relationship between the average failure time and the erase-write number.

The present invention discloses a multi-layer microfilter filter screen assembly, which belongs to the technical field of water treatment equipment. The present invention comprises a metal frame arranged on a filter cartridge, a filter screen is laid under the metal frame, connecting through holes are arranged on the four sides of the metal frame, the connecting through holes cooperate with bolts arranged on a pressure plate, the metal frame comprises an outer frame, a plurality of inner circle mesh holes distributed in a chessboard shape are arranged on the outer frame, each inner circle mesh hole is connected to the outer frame through connecting plates arranged vertically and horizontally, and outer circle mesh holes are arranged around the four sides of the inner circle mesh holes. The filter screen assembly of the present invention has high strength, reliable structure, large processing flux, stable effluent water quality, and stable equipment operation. By designing the edge of the outer circle mesh hole of the metal frame as a continuous gradient curve edge, the force support area of ​​the metal frame is increased, the force is gradually decomposed, linear stress concentration is avoided, the probability of cutting fracture is reduced, the structural strength is improved, and the service life of the filter screen is improved.

A chessboard recognition and calibration method for a complex scene comprises the following steps: preprocessing an input chessboard image to obtain a binary image, and adopting at least two morphological cores of different sizes to perform parallel morphological operation on the binary image to obtain a first candidate point set and a second candidate point set respectively, the first candidate point set is used as a high-precision point set, and the second candidate point set is used as a high-robustness point set; processing an input chessboard image by adopting the trained target detection model so as to identify and position four global angular points of the chessboard; reconstructing four high-precision boundary lines of the chessboard based on the first candidate point set, and obtaining internal anchor points of the chessboard based on the second candidate point set; a chessboard image; and if the second recognition mode is selected, preprocessing an input chessboard image to obtain a binary image. The method has the advantages that the chessboard grids with nonlinear distortion can be accurately reconstructed in a low-cost and high-robustness mode, and the states of the chess pieces on the chessboard grids can be identified.

The invention provides a method, device and equipment for determining checkerboard angular points, and the method comprises the steps: carrying out the convolution of an initial image, and determining a gradient size image and a gradient direction image; since the angular points are located at the intersection of the background and the foreground, the pixel points at the intersection are initially screened according to the gradient size image, and then the screened pixel points are classified according to the gradient direction image, so that different types of checkerboard edge contours (in different directions) can be obtained; secondly, determining an intersection point of the edge contours of the intersected checkerboard, roughly determining an initial angular point at the moment, determining straight lines passing through the initial angular point in the horizontal direction and the vertical direction in order to further improve the detection precision of the angular point, solving the two straight lines to determine an intersection point of the two straight lines, and taking the intersection point as a target intersection point; in this way, the final angular point can be accurately determined by fitting the first straight line and the second straight line and then solving, and the subsequent calibration precision of the module is improved.

1. Name of the design product: Checkered anti-slip mobile phone holder. 2. Use of the design product: Anti-slip mobile phone holder for automotive use. 3. Design key points of the design product: Lies in the shape. 4. Picture or photograph that best shows the design key points: Front view.