The quality control and detection method for traditional artificial steel plate surface is quite time-consuming and with low detection efficiency, which cannot meet actual demand of modern industry.This paper bases on machine vision technology to study steel plate surface defect detection system, which relies on computer science, robots science and visual calibration technology, perfectly replaced artificial automatic detection technology, can realize automatic detection for steel plate surface defects, not only greatly improved detection efficiency and quality, but also decreased labor cost.This paper mainly studies and summaries three aspects of the election of visual detection camera and lens, analysis on machine visual calibration technology and steel plate surface defect detection from machine vision.
Naijian ChenJianbo SunXu WangYulin HuangYingjun LiChao Guo
Chenchen DongWeiwei ZhuJinling WeiHangchao ZhouFeng Chen