DocumentCode :
653357
Title :
SMT Components Model Inspection Based on Characters Image Matching and Verification
Author :
Bing Luo ; Yuehua Gao ; Zhongyu Sun ; Sufang Zhao
Author_Institution :
Sch. of Inf. Eng., Wuyi Univ., Jiangmen, China
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
1438
Lastpage :
1441
Abstract :
In PCB SMT assemble automatic inspection, components model should be inspected by their character image. Conventional inspection method suffered from high false detection rate, particularly for same model components with different fonts. Improved method was proposed with position correction, quick image matching and ANN based verification for components with different fonts. Experimental results show the method greatly lower the false detection rate with zero missing rate and quick inspection speed.
Keywords :
automatic optical inspection; character recognition; image matching; printed circuit manufacture; production engineering computing; surface mount technology; ANN based verification; PCB SMT assemble automatic inspection; SMT components model inspection; characters image matching; characters image verification; position correction; Artificial neural networks; Assembly; Character recognition; Correlation; Image matching; Image segmentation; Inspection; ANN; OCR; OCV; image matching; surface mounted technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.252
Filename :
6682264
Link To Document :
بازگشت