148 results about "Checkerboard" patented technology

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 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 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 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.

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.

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.

The utility model discloses a sand-proof grass square laying machine, which relates to the technical field of grass square laying and comprises a body, the body comprises a connecting frame and a connecting frame, a rotating seat is arranged on the connecting frame, a driving gear and a linkage gear are arranged on the rotating seat, a driving shaft is arranged on the driving gear, and a driving source is arranged on the driving shaft; a crankshaft arm is arranged on the linkage gear, a rotating arm is connected to the crankshaft arm through a shaft, a transmission frame is connected to the end, away from the crankshaft arm, of the rotating arm, at least one stand column is hinged to one end of the transmission frame, and a shovel plate is hinged to the end, away from the transmission frame, of the stand column; a connecting rod upper beam is hinged to the end, away from the shovel plate, of the stand column, a connecting rod vertical beam is hinged to one end of the connecting rod upper beam, the middle of the connecting rod vertical beam is hinged to the transmission frame, two parallel swing arms are hinged to the connecting rod vertical beam, and the ends, away from the connecting rod vertical beam, of the swing arms are hinged to the connecting frame. The working efficiency is improved, the labor intensity is reduced, and the embedding depth is further ensured.

A method of performing an operation on a memory device is disclosed. The method of performing an operation on a memory device includes the following steps. An erasing operation is performed on a selected word line of the memory device to lower threshold voltages of a plurality of first memory cells to be programmed and a plurality of second memory cells to be erased below a first predetermined level. A programming operation of a checkerboard pattern is performed on the selected word line such that the first memory cells are subjected to a first programming bias and the second memory cells are subjected to a second programming bias. The second programming bias is lower than the first programming bias.

Embodiments of the present application relate to a kind of image acquisition method, device and system of large-size display panel.The method comprises: sending checkerboard image to the display panel to be measured, so that the display panel to be measured displays checkerboard image;Multiple cameras are respectively collected checkerboard image;Based on the coordinates of first reference vertex in reference pixel coordinate system on each checkerboard image, the overlapping area in adjacent checkerboard image is calculated, and according to the overlapping area in when meeting set condition, determine the camera position associated with overlapping area;After determining the position of all cameras, send grid image to the display panel to be measured;After multiple cameras are collected grid image, the grid line coordinates of all grid images are calculated, and the cutting coordinate parameters of each grid image are determined;According to the cutting coordinate parameters of each grid image, the image photographed by corresponding camera is cut.The technical scheme of the present application can reduce the configuration requirement of camera, and save production cost.

The application discloses a multi-angle adaptive distortion rate calculation method and device, equipment and a storage medium, relates to the technical field of machine vision industrial detection, and the multi-angle adaptive distortion rate calculation method comprises the following steps: identifying the corner points of a target checkerboard image, remodeling the corresponding corner point matrix according to the row and column number of the identified corner points; fitting an edge curve according to the edge points of the corner point matrix, determining a first vertex where the edge curve intersects, connecting two adjacent first vertices to form a fitting straight line, and determining the maximum deviation point of the edge points relative to the fitting straight line; translating each fitting straight line to the maximum deviation point, obtaining a second vertex formed by the intersection of the translated straight lines, and calculating the distortion rate according to the positions of the first vertex and the second vertex. The application has high applicability, can flexibly cope with different angle shooting conditions, and thus realizes more accurate distortion rate calculation.

The invention relates to a reconstruction method for simulating a local scouring terrain of a bridge pier in a sandpit environment, comprising a bridge pier local scouring experimental model, the bridge pier local scouring experimental model comprises a water tank, gravels are laid at the bottom of the water tank, a vertical support rod for simulating the bridge pier is fixed in the middle of the water tank, and a sunken sandpit area is arranged beside the vertical support rod. An annular track is arranged above the water tank, a mobile camera is arranged on the annular track, a black and white checkerboard is made as a terrain reconstruction control point in the to-be-tested area, and the mobile camera carries out annular shooting in the research area; a PMVS algorithm is adopted, a result of sparse three-dimensional point cloud reconstruction is optimized, then topographic feature analysis of a local scouring bed surface of a pier and quantitative calculation of a pit area are performed when a sand mining pit exists, the method is suitable for a water tank test and a riverbed physical model test, the riverbed three-dimensional topography before and after scouring can be rapidly and efficiently reconstructed, the precision is high, and the method is suitable for popularization and application. And the research of the pier scouring terrain is facilitated.

The invention discloses a microenvironment response type chessboard microneedle system and application thereof in treatment of drug-resistant bacteria infected wounds, and provides the microneedle system for solving the technical problems that in treatment of MRSA infected wounds, drugs are difficult to penetrate through wound surfaces and biological membrane barriers, the effective concentration of NO is difficult to maintain, and antibacterial-repair synergy is insufficient. The microneedle is formed by alternating hyaluronic acid and polyvinyl alcohol, ZCSO nano-enzyme and NO donor SNAP are loaded on the microneedle respectively, and the microneedle can penetrate through a physical barrier to accurately deliver functional components to a focus to achieve space targeting. The nidus microenvironment is triggered to release Cu < 2 + >, SNAP is catalyzed to continuously produce NO, time-space synchronization of NO and Cu < 2 + > is realized, and the NO gas therapy and copper-like death are used for synergistically resisting bacteria; se and Zn < 2 + > can relieve oxidative stress, regulate and control inflammation microenvironment and promote tissue regeneration. The system can efficiently remove MRSA and promote wound repair, provides a new strategy for treatment of drug-resistant bacteria infected wounds, and has a good clinical application prospect.

The utility model discloses a kind of phase-shifting four shear interference systems based on active liquid crystal checkerboard grating, including laser, collimating lens, linear polarizer, active two-dimensional checkerboard liquid crystal grating, first Fourier lens, five-way liquid crystal controller, pin aperture diaphragm, second Fourier lens, four-part active liquid crystal phase delay ware and CCD camera, laser generates coherent light beam, after collimation and polarization modulation, realize beam splitting shear by liquid crystal grating, again Fourier transform and filtering processing, utilize liquid crystal phase delay ware to realize phase shift, finally generate interference fringe and be collected and handled by CCD camera.The utility model has realized the synchronous linkage of the parameter of "wavelength-shear-phase shift", improved regulation precision;Simplify hardware structure, reduce system integration complexity;Support real-time adaptive adjustment under dynamic scene.

This invention discloses a method and system for three-dimensional phenotypic analysis of potatoes based on computer vision. The method includes: first, constructing an acquisition system with multiple high-resolution RGB cameras in a triangular layout and a uniform light source, including a motion turntable; after distortion correction via checkerboard calibration, simultaneously acquiring multi-view images of potatoes; next, generating a dense depth map through sparse point cloud reconstruction combined with an improved multi-view stereo vision reconstruction mechanism including dynamic adaptive aggregation range and curvature-weighted matching cost calculation; registering and fusing to obtain three-dimensional point cloud data containing color and texture; then extracting basic parameters such as length, volume, and RGB features; and using an improved point cloud segmentation model including curvature-sensitive sampling, geometric attention modules, and a hybrid loss function to segment buds and extract parameters such as number and depth. This provides technical support for potato breeding and intelligent sorting.

The utility model discloses a three-dimensional spatial calibration module for realizing spatial three-dimensional positioning and camera calibration, which comprises a cubic framework, calibration target surfaces are respectively arranged on six surfaces of the cubic framework, and laser etching checkerboards, dot matrixes or ArUco coding patterns are respectively arranged on the six calibration target surfaces. And the six surfaces of the cubic skeleton are respectively provided with an identification surface coding module. According to the utility model, multi-surface pattern arrangement is adopted, and multi-angle three-dimensional calibration can be realized by a single module; the structural cubic design meets spatial analytic geometry constraints, and the reconstruction stability is improved; a built-in attitude sensing system records calibration attitudes and improves reproduction and error analysis capability; the modular quick-change base design supports quick plugging and mobile calibration; a wireless tag and visual coding combined recognition mechanism enhances the recognition and matching efficiency of an automatic system.

The utility model discloses a machine vision calibration board with sine characteristic lines, comprising a rectangular substrate, the surface of the rectangular substrate is provided with uniformly distributed checkerboard patterns, the central area of the rectangular substrate is provided with a sine curve characteristic line penetrating through the calibration board, four corners of the rectangular substrate are provided with concentric circle positioning marks, and the concentric circle positioning marks are provided with concentric circle positioning marks. Round identification marks are arranged on intersection points of the sine curve characteristic lines and the checkerboard pattern. Concentric circle marks are arranged at four corners of the calibration plate and are used for rapid positioning and direction identification. Small dots are arranged on the intersection points of the sine curve and the checkerboard lines and used for verifying the feature point recognition accuracy. According to the utility model, the calibration precision is improved; various distortions are more comprehensively corrected by combining linear and curve characteristics; the calibration quality is ensured through feature verification points; the positioning marks are convenient to align quickly, so that the operation time is shortened; and the method is suitable for various industrial visual systems, including two-dimensional and three-dimensional applications.

The present invention relates to the technical field of desertification control equipment. Disclosed are a straw checkerboard burying integrated machine and a burying method. The straw checkerboard burying integrated machine comprises a frame mechanism, wherein automatic straw-spreading box mechanisms are provided at the rear of the frame mechanism; and wheel cutter mechanisms are respectively provided at the rear of the automatic straw-spreading box mechanisms. The frame mechanism comprises a chassis, a carriage, continuous tracks and an engine, wherein the engine is arranged on the inner side of the chassis, the continuous tracks are arranged on two sides of the chassis, the carriage is arranged at the top of the chassis, and the automatic straw-spreading box mechanisms are arranged at the rear of the carriage. By means of the arrangement of the automatic straw-spreading box mechanisms, the wheel cutter mechanisms and the frame mechanism, straw is evenly placed flat on the ground, thereby achieving the aim of automatic straw spreading, greatly reducing the labor intensity of workers, and improving the working quality and efficiency; and by means of the arrangement of wheel cutter supports II and movable rods, wheel cutter bodies are prevented from being damaged during steering movement, thereby greatly improving the safety and practicability of the apparatus.

The application provides a distributed picture distortion correction method, system, electronic equipment and storage medium, and the method comprises the following steps: obtaining a distortion calibration matrix of a target camera according to a chessboard picture; creating an RDD (Resilient Distributed Datasets) task according to a plurality of pictures to be corrected in an HDFS (Hadoop Distributed File System); correcting each picture to be corrected in the RDD task by using a foreach operator according to the distortion calibration matrix; and uploading the corrected picture to the HDFS until the correction of all the pictures to be corrected is completed. The application corrects each picture to be corrected in the RDD task by using the foreach operator according to the distortion calibration matrix to obtain a corrected picture, thereby combining the distortion calibration matrix with big data picture processing, achieving the purpose of simultaneously correcting a large number of distorted pictures in batches, and greatly improving the picture correction efficiency.

The application discloses a chess piece target positioning and recognition method based on optimized parameters and China-chess-net, which comprises the following steps: collecting multiple images of complete chessboards to obtain a chess data set; building and training a China-chess-net network structure to obtain a chess recognition model; using an improved Canny edge detection algorithm of a convolutional neural network optimized parameter and an improved Hough circle detection positioning algorithm of a BP neural network optimized parameter to position the chess pieces in the chessboard images and save the chess piece pictures and position information in the chessboard; and fusing the improved Canny edge detection algorithm of the convolutional neural network optimized parameter and the improved Hough circle detection positioning algorithm of the BP neural network optimized parameter with the China-chess-net recognition algorithm to obtain the position information and category information of each chess piece. The application has the advantages of extremely small training data volume, extremely high detection accuracy of chess piece position and category, fast real-time detection speed of a camera, and adaptability to complex light environments, and can be applied to artificial intelligence, detection of circular target objects, Chinese chess man-machine confrontation and other aspects.

The application belongs to the technical field of desertification prevention, and particularly relates to a compound grass-sand barrier construction method and system based on a 'grape' shape, which comprises the following steps: S1: using GPS, a drone and other tools to survey and map the topography of the sand land to be treated, combining historical meteorological data to determine the main wind direction, and planning the sand barrier laying area and 'grape' unit layout; S2: preparing sand barrier construction materials, the materials comprising one or more of straw, corn stalks, reeds and sand willow branches, and screening and processing are performed to ensure the material quality; the 'grape' type cluster net structure design achieves the effect of efficiently interfering with and shunting near-surface wind-sand flow; the 'grape' type sand barrier unit is distributed in a cluster shape by a plurality of small grass bundles, and is connected into a net structure by short grass belts, and this design more effectively interferes with, shunts and guides the wind-sand flow than the uniform grid-shaped grass checkerboard, thereby improving the comprehensive performance of wind erosion prevention and sand burial prevention.

1. Name of the designed product: knife holder (checkboard). 2. Use of the designed product: used for adsorbing and containing various knives. 3. Design points of the designed product: in shape. 4. Picture or photo best showing the design points: perspective view.

The application provides an image processing method and device, a vehicle and a storage medium. When performing binarization processing on an image containing a checkerboard, the electronic device can use different algorithms to process different regions of the image in combination with the characteristics of different regions of the image. In this way, the electronic device can more accurately detect the specific position of the checkerboard in the image, and then accurately calibrate the camera.