【摘要】 针对当前FPC(柔性电路板)缺陷检测中人工目检效率低的问题,基于机器视觉技术设计了一套实时检测系统。首先搭建了硬件系统,然后对FPC的4种表面缺陷特征进行了研究,基于Halcon设计了相应的缺陷检测算法,提出了通过模板匹配提取ROI的方法,以及运用图像自乘与高斯线检测来提取折痕,最后基于MFC开发了缺陷实时检测系统。实验结果显示,设计的系统检测准确率可达90%以上,且每片FPC检测时间只需0.2 s。更多还原

【Abstract】 Aiming at the low efficiency of manual visual inspection in FPC(flexible printed circuit)defect detection,a real-time detection system based on machine vision technology was designed.Firstly,the hardware system was built up.Four FPC surface defects features was restearched,the corresponding algorithm was designed based on Halcon,and the method of extracting ROI by template matching and extracting crease by image self-multiplication and Gaussian line-detection was proposed.Finally,the real-time detection system based on MFC was developed.The experimental results show that the system can achieve more than 90% accuracy,and each FPC detection time costs only 0.2 s.更多还原