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Wenwei Zhao, Suprith Reddy Gurudu, Shayan Taheri, Shajib Ghosh, Mukhil Azhagan Mallaiyan Sathiaseelan and Navid Asadizanjani
Printed circuit board (PCB) assurance in the optical domain is a crucial field of study. Though there are many existing PCB assurance methods using image processing, computer vision (CV), and machine learning (ML), the PCB field is complex and increasing...
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Chao-Ching Ho, Eugene Su, Po-Chieh Li, Matthew J. Bolger, Huan-Ning Pan
Pág. 76 - 83
This study develops an automated optical inspection system for silicone rubber gaskets using traditional rule-based and deep learning detection techniques. The specific object of interest is a 5 mm × 10 mm × 5 mm mobile device power supply connecto...
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Nico Prappacher, Markus Bullmann, Gunther Bohn, Frank Deinzer and Andreas Linke
The surface inspection of steel parts like rolling elements for roller bearings is an essential component of the quality assurance process in their production. Existing inspection systems require high maintenance cost and allow little flexibility. In thi...
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Young-Gyu Kim and Tae-Hyoung Park
The contribution of this paper is to propose a dual-stream convolutional neural network (CNN) using two solder regions for inspections of surface mount technology (SMT) assembly defects. We extract two solder regions from a printed circuit board (PCB) im...
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