An Automatic Optical Inspection Algorithm of Capacitor Based on Multi-angle Classification and Recognition. (September 2020)

• Record Type: Journal Article
• Authors: Fang, Jian; Shang, Lina; Xiong, Kai; Gao, Guangchun; Zhang, Cui
• Is Part Of: Journal of physics. Volume 1646(2020)
• Publication Date: 2020-09
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1646/1/012031
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: There are many plug-in components in PCB circuit production. The AOI of these components has always been a difficult problem because of the large deviation of manual installation position of these components. In this paper, an AOI algorithm based on multi-angle classification and recognition is proposed for the plug-in polar capacitors. The algorithm combines traditional image comparison method with feature recognition method, and uses AdaBoost classifier based on Haar-like feature to recognize and classify multi-angle polar capacitors. Experimental results show that the algorithm proposed in this paper can effectively detect three kinds of defects: capacitor missing, capacitor polarity error and capacitor size mismatch.