Abstract
Bare Printed Circuit Board (PCB) is a circuit composed with non-placement of electronic components. Quality checking plays an important role in the manufacturing industry. In order to help the small scale industry, students and researchers to identify the defects, this paper presents an efficient algorithm for an automated visual PCB inspection system that will automatically detect any defect on PCBs. The defects are been detected by image subtraction algorithm. This algorithm utilizes a template and a defective image of a bare PCB with same size variations and orientations. There are several defects presented in a PCB. Defects like missing hole, open circuit, short circuit is been identified using the automated PCB inspection system.
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