基于机器视觉的小型扁平零件位置检测的研究

Research on Position Detection of Small Flat Parts Based on Machine Vision Technology

为解决小型扁平零件在定位和装夹过程中易出现位置偏差的问题,采用机器视觉技术完成零件和定位槽图像的获取、二值化处理、对图像处理得到轮廓线,通过拟合零件边与槽的角度关系判断零件位置是否发生偏离。最后,利用Matlab软件对零件的异常情况进行模拟实验,表明该方案可以有效检测小型扁平零件的位置异常情况,控制了零件位置异常导致的不良率。

In order to solve the problem of position deviation of small flat parts in the process of positioning and clamping,machine vision technology was used to acquire the image of parts and positioning slots,binary processing and image processing to obtain contour lines.The deviation of parts position was judged by fitting the angle relationship between the edges and slots of parts.Finally,the simulation experiment with MATLAB software showed that the scheme can effectively detect the abnormal position of small flat parts and control the bad rate caused by abnormal position of parts.