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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
