Abstract
In PCB manufacturing, automatic optical inspection (AOI) is a key technology to improve production efficiency and quality. At present, most of the AOI algorithms are aimed at PCB and SMD components. An AOI algorithm for plug-in polar capacitors is proposed in this paper. The algorithm mainly uses AdaBoost classifier based on Haar-like feature to realize the recognition of plug-in capacitors. The polarity of the capacitor is detected by comparing the image features of the target capacitor. Experimental results show that the algorithm proposed in this paper can effectively detect two kinds of defects: capacitor missing and capacitor polarity opposite. The algorithm can be applied to the AOI detection of PCB before and after wave soldering.
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