Online Vision System for Battery FPC Connector Defect Detection Based on Active Shape Model Template Matching

摘要

In this paper, a quality detection method for battery FPC (Flexible Printed Circuit) connectors based on active shapemodel template matching is proposed. It can deal with different kinds of connector appearance defects. Firstly, constructtemplate data set of connector, acquire test images and apply cutting operation to original image, then execute tiltcorrection and image reconstruction by means of least square method and affine transformation to fulfil thepre-processing stage. Then, match and locate connector region in per-processing image with the help of the active shapemodel (ASM) based template matching method. To deal with different kinds of defect (soldering offset/tilt, exposedcopper clad layer in FPC, broken edge in FPC, defects in center area of connector, defects on metal and plasticcomponents), independent detection algorithm units are integrated in the system. Template can also be real-timelyupdated according to detection result. Finally, the defects will be classified, located and marked in detection image. Inaddition, aimed at the need of battery industry, a set of detection system with low cost, high performance and strongstability has been designed. It can be concluded from online and offline experiments that the proposed method is of highdetection rate, good real-time performance and strong robustness.