Research On Terminal High And Low Needle Detection System Based On Machine Vision

Nowadays,the electronic information technology has developed so fast that the electronic technology of the automobile has become an important part of the development of the automobile nowadays.The terminal parts are becoming more and more important as the connectors in the automobile.The accurate detection of the terminal high and low pins in the connector manufacturing process is a very important part of the connector quality detection..The size of each pin,the width between the needles and the relative height difference between the pins are larger than the standard template,which will result in short circuit,circuit breakage,and low waterproof and dustproof performance.In order to detect the pin of the terminal more accurately,this paper studies the terminal high and low needle detection system based on machine vision technology.This system mainly consists of three parts: image acquisition,image processing and system calibration.Through the analysis and selection of camera,optical lens,light source and direction of illumination,an optical imaging system is built to collect images of terminal pins.Then,the collected images are preprocessed.In order to improve the accuracy of the system,sub-pixel corner detection technology is adopted.Finally,the system is calibrated to measure the size of each pin,the width between the pin and the pin,the height difference between the pin and the pin.This paper is based on the configuration of the OpenCV Computer Vision Library under VS2012 to complete the image processing part of the terminal high and low needle detection system.After testing the system has high reliability and the detection precision can reach 0.03 mm,it has a good feasibility and practical significance.