The company's existing automated optical inspection(AOI)equipment for printed circuit board(PCB)is not easy to detect true and false points.In view of this problem,method based on the deep learning algorithm library Pytorch is proposed to detect the large PCB board,with a visual artificial intelligence(AI)system that detects true and false points on the surface.The morphological algorithm in image processing is used to detect surface defects such as intersection of inner and outer hole boundaries,unclear corrosion of inner holes,and copper seepage in outer holes.By adding padding,improving the optimizer,and changing the activation function to introduce an attention mechanism,through data collection and detection of nearly 100k finished products,the system has a detection rate of 99.998％,a false negative rate of 0,and a false detection rate of 0.002％,realizing high precision and stable operation.
关键词
真假点/缺陷检测/视觉人工智能/平均精确度(mAP)/算法
Key words
true and false points/defect detection/visual artificial intelligence(AI)/mean accurate precision(mAP)/algorithm
维普
万方数据