91 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 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.

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.

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.

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 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.

This invention belongs to the technical field of mechanical sand-fixing equipment, specifically relating to a straw checkerboard laying vehicle. It includes a chassis supporting the upper structure, with a traveling mechanism at the lower end of the chassis. In this embodiment, the traveling mechanism is a tracked type. A straw roll conveyor is bolted to the top of the chassis, and a pressing machine is installed at the rear end of the conveyor. A hopper is installed at the top of the conveyor. The straw rolls are laid on the sand by the conveyor, and then the pressing machine presses the laid straw rolls into the sand along the middle to fix them in place. This system enables automated, integrated straw checkerboard laying. The robot is small in size, has excellent maneuverability, and can adapt to various complex terrains in the desert. Its high degree of automation reduces the trampling of straw checkerboards and effectively improves the efficiency of straw checkerboard laying.

The application discloses a kind of component automated positioning methods based on vision, comprising: preparation stage, complete at ball head, ball socket paste checkerboard feature point, complete ball socket inner surface ball center fitting and ball socket checkerboard measurement, have been positioned ball head ball socket camera shooting and save respective feature point three-dimensional data, construct camera to laser tracker assembly coordinate system and laser tracker assembly coordinate system to the pose transformation matrix of positioner;Application stage, camera shooting is to be positioned ball head ball socket and save respective feature point three-dimensional data, construct the pose transformation matrix of ball head checkerboard that has been positioned and is to be positioned, complete to be positioned ball socket feature point and the mapping of ball socket inner surface ball center, obtain relative distance under camera coordinate system, solve the moving distance of positioner by the pose transformation matrix of camera to laser tracker assembly coordinate system to positioner.The advantage of the method is to allow ball head component pose change and pose change when camera shooting, realize aircraft component automated rapid positioning.

The invention relates to an AI visual identification method and system based on a Go playing score recorder, and belongs to the technical field of artificial intelligence visual identification. The method comprises the following steps: acquiring a chessboard image signal in a go playing process in real time based on a go image sensor, and distributing a dynamic identification signal according to an acquired result; the positions and colors of the chess pieces are recognized through an intersection point mapping method, deviation of center coordinates of the chess pieces is monitored through an attention mechanism after recognition, independent key frame windows are distributed to different chess pieces, interference is filtered through a dynamic background separation algorithm, and a Go manual in a standard format is generated in real time; and transmitting the adaptive score recording strategy based on the key frame to an analysis end of a Go playing score recording device, and generating the non-contact real-time score recording method in the complex shielding environment. The artificial intelligence visual identification method of the Go playing notation device is realized.

This utility model discloses a small, all-around grass checkerboard laying vehicle, comprising: a tracked chassis, a slewing support device, laying devices, a control box, and cameras. The tracked chassis is driven to move; the slewing support device is equipped with a slewing support base; the laying devices are symmetrically arranged and each includes a worm gear lifting mechanism and a grass pressing mechanism; the control box is electrically connected to the tracked chassis, the slewing support device, the laying devices, and the cameras; both cameras transmit image information to the control box. This laying vehicle can avoid crushing the already laid grass stalks, ensuring that the grass stalks stand upright and guaranteeing the sand control effect.

The invention provides a camera calibration method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a checkerboard calibration plate image collected by a to-be-detected camera, and the surface of the checkerboard calibration plate is provided with a coding pattern; graying the checkerboard calibration plate image to obtain a checkerboard calibration plate gray image; angular point features are obtained based on the checkerboard calibration plate gray level image, wherein the angular point features comprise image pixel coordinates of all angular points on the checkerboard calibration plate and coordinates in a world coordinate system of the image pixel coordinates; and based on the angular point features, solving by adopting a least square method to obtain internal parameters and external parameters of the to-be-detected camera. According to the method and the device, efficient editing calibration of the camera internal parameters and the camera external parameters can be realized, the calibration precision can meet application requirements, and meanwhile, relatively high stability and reliability can be kept in various environments.

The utility model discloses a machine vision calibration board with a plurality of horizontal and vertical sine curves, which comprises a rectangular substrate, the surface of the rectangular substrate is provided with uniformly distributed checkerboard patterns, the area of the checkerboard patterns is provided with a plurality of sine curves parallel to the horizontal and vertical directions to form a gridding fluctuation characteristic line structure, and the sine curves are arranged on the rectangular substrate. Four corners of the rectangular substrate are provided with concentric circle positioning marks. According to the utility model, after a sine curve is introduced as a characteristic line, continuous curve characteristics can be provided, and modeling of nonlinear distortion and visual angle change is facilitated. The four-corner concentric circle positioning marks are used for assisting image rapid positioning and direction verification.

The invention provides a medical image registration checkerboard display method and system and an electronic device, which are applied to the technical field of medical images, and compared with a cross curve checkerboard display mode in the related technology, the medical image registration checkerboard display method has the advantages that a plurality of medical images are displayed by taking a first boundary line as a boundary line between checkerboards; the trend of the first boundary is the same as the extension direction of the feature organ, and the first boundary passes through the feature organ, so that registration of multiple organ tissues in the feature organ can be completed, manual multi-time adjustment of a visual angle or an image position is not needed, the registration efficiency and precision can be improved, the complexity of registration operation can be reduced, and the time cost is reduced.

According to the friction coefficient control method and device for the checkerboard road of the low-temperature test field, after a test vehicle passes through a boundary between any adjacent lattices of the checkerboard road, fuzzy judgment is conducted on the boundary between the adjacent lattices, a boundary fuzzy area is determined, automatic judgment of boundary fuzzy is achieved, and the friction coefficient of the checkerboard road of the low-temperature test field is improved. Then determining a blurring reason of the boundary blurring region based on a temperature change curve of the boundary blurring region in the infrared image before and after the test vehicle passes, ice scrap distribution, image texture and image brightness in the visible camera image, and a friction coefficient change curve of the boundary blurring region after the test vehicle passes; and determining a compensation strategy of the boundary fuzzy region based on the fuzzy reason of the boundary fuzzy region so as to regulate and control the friction coefficient of the boundary fuzzy region based on the compensation strategy, so that the difference value of the friction coefficients of the regions belonging to different grids in the boundary fuzzy region meets the test condition, and the test condition is ensured to be always in a controlled state.

The application discloses a kind of inland river ship freeboard measurement method based on monocular vision.First, the internal parameter calibration of monocular camera is carried out using checkerboard by Zhang Zhengyou calibration method, and the internal parameter of camera is obtained;The camera shoots the side view of the ship, and the Deeplabv3+ model is used to segment the part between the ship deck line and the waterline according to the side view of the ship;Further, the ship deck line and the waterline are detected to determine the position of the ship freeboard and calculate the pixel height of the ship freeboard;The conversion from pixel height to actual height is realized by the camera internal parameter obtained by calibration, and the real value of the ship freeboard is calculated.The application models the parameters of the camera itself, does not rely on vanishing point and vanishing line for ship freeboard measurement, and provides assistance for the safety navigation of inland river ships on water as the basis for ship overload detection.