基于机器视觉的螺母定位系统

摘要

Aiming at the problems of high error ration,high labor intensity and low efficient for manual static adjustment of screws and nuts,an intelligent nut positioning system in the overload detection part of low-voltage circuit breaker production line was designed.Machine vision technology was taken into the detection unit of the production line.The images of hexagon nut were real-time captured by the CCD camera and processed with image processing technologies such as binarization processing,Gaussian filter,Canny edge extraction,Hough transform etc.Then the center point position of the hexagon nut was found,and was used to screws and nuts assembly.The system has already been qualified and accepted by factory's customer,and runs very well.%针对手工静态调整螺钉和螺母测试错误率高、劳动强度大以及效率低等问题，设计了低压断路器生产线上的过载保护检测部分的智能螺母定位系统。将机器视觉技术引入到生产线的检测单元当中。利用CCD摄像机对六边形螺母进行实时视频拍摄，对采集到的工件图像，进行图像的二值化处理、高斯滤波、Canny边缘提取、Hough变换等找到中心点，从而完成螺钉和螺母的装配。目前该系统已经通过厂家鉴定，试运行状态良好。