TY - GEN
T1 - Online vision system for battery FPC connector defect detection based on active shape model template matching
AU - Zhao, Zhuo
AU - Li, Bing
AU - Gao, Fei
AU - Chen, Lei
AU - Xin, Meiting
N1 - Publisher Copyright:
© 2019 SPIE.
PY - 2019
Y1 - 2019
N2 - In this paper, a quality detection method for battery FPC (Flexible Printed Circuit) connectors based on active shape model template matching is proposed. It can deal with different kinds of connector appearance defects. Firstly, construct template data set of connector, acquire test images and apply cutting operation to original image, then execute tilt correction and image reconstruction by means of least square method and affine transformation to fulfil the pre-processing stage. Then, match and locate connector region in per-processing image with the help of the active shape model (ASM) based template matching method. To deal with different kinds of defect (soldering offset/tilt, exposed copper clad layer in FPC, broken edge in FPC, defects in center area of connector, defects on metal and plastic components), independent detection algorithm units are integrated in the system. Template can also be real-timely updated according to detection result. Finally, the defects will be classified, located and marked in detection image. In addition, aimed at the need of battery industry, a set of detection system with low cost, high performance and strong stability has been designed. It can be concluded from online and offline experiments that the proposed method is of high detection rate, good real-time performance and strong robustness.
AB - In this paper, a quality detection method for battery FPC (Flexible Printed Circuit) connectors based on active shape model template matching is proposed. It can deal with different kinds of connector appearance defects. Firstly, construct template data set of connector, acquire test images and apply cutting operation to original image, then execute tilt correction and image reconstruction by means of least square method and affine transformation to fulfil the pre-processing stage. Then, match and locate connector region in per-processing image with the help of the active shape model (ASM) based template matching method. To deal with different kinds of defect (soldering offset/tilt, exposed copper clad layer in FPC, broken edge in FPC, defects in center area of connector, defects on metal and plastic components), independent detection algorithm units are integrated in the system. Template can also be real-timely updated according to detection result. Finally, the defects will be classified, located and marked in detection image. In addition, aimed at the need of battery industry, a set of detection system with low cost, high performance and strong stability has been designed. It can be concluded from online and offline experiments that the proposed method is of high detection rate, good real-time performance and strong robustness.
KW - Active shape model
KW - Appearance defects Detection
KW - FPC connector
KW - Machine Vision
KW - Template Matching
UR - https://www.scopus.com/pages/publications/85062842466
U2 - 10.1117/12.2511378
DO - 10.1117/12.2511378
M3 - 会议稿件
AN - SCOPUS:85062842466
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Tenth International Symposium on Precision Engineering Measurements and Instrumentation
A2 - Tan, Jiubin
A2 - Lin, Jie
PB - SPIE
T2 - 10th International Symposium on Precision Engineering Measurements and Instrumentation, ISPEMI 2018
Y2 - 8 August 2018 through 10 August 2018
ER -