Research And Application Of Video-oriented Plug-in Machine Location Technology

Plug-in machine is the use of machine vision technology to some of the regular electronic components automatically standard plug-in printed circuit board conductive through the hole within the equipment.Among them,the plug-in vision system is the current high-performance plug-in machine one of the key systems,its performance can directly affect the plug-in plug-in speed and accuracy.The visual system mainly includes the reference point positioning and the camera calibration,the reference point positioning is mainly to determine the PCB board position,and the camera calibration is mainly to solve the camera parameters,the use of camera parameters to calculate the world coordinates of the reference point.This paper studies and explores the benchmarking and camera calibration in the plug-in vision system for the development of the plug-in for the project team.First of all,according to the needs of the plug-in machine to determine the need to detect the shape of the reference point,respectively: round,cross and diamond.Firstly,the advantages and disadvantages of the relevant segmentation algorithm are compared and analyzed.The OTSU algorithm is used to binarize the image.The edge detection algorithm is used to determine the use of the algorithm.Canny detection algorithm for edge detection,and the use of adaptive selection threshold method,the experimental analysis,this method of light changes have a good robustness.Secondly,a detection algorithm based on edge curve feature is proposed.This paper introduces the basic idea of Hough transform.By comparing various improved Hough transform algorithms,this paper chooses an improved probabilistic Hough transform algorithm and analyzes the influence of parameters on Hough transform.In this paper,an improved hierarchical clustering method is proposed to merge the repeated edges,and the edge curve of the reference point and the position of the center point are obtained by fitting.Finally,the application of this algorithm is verified by experiments.Again,the camera's internal and external parameters need to be calibrated by the camera.Firstly,the camera pinhole imaging model and the camera lens distortion are analyzed,and the parameters that need to be calibrated are determined.Then,through the Zhang Zhengyou calibration method to solve the required parameters,and on this basis,proposed an optimization method,through the nonlinear optimization problem to solve the camera inside and outside the parameters of the exact solution.Finally,by analyzing the hardware and software requirements of the plug-in system,the key equipment of the plug-in machine is selected,and the design of the plug-in vision system and the motion control system software is experimented.The positioning of the reference point with noise is completed,and the reliability of the reference point localization algorithm is verified.The experiment is carried out on the actual plug-in machine.The plug-in speed and accuracy of the plug-in machine are determined experimentally and system reliability.