Al-Falah School of Engineering and Technology

AFSET, established in 1997, is endeavor of Al-Falah Charitable Trust in keeping with the approach for professional education training and guidance.

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Automatic PCB Defect Detection Using Image Substraction Method

Aug 08, 2013 | Sonal Kaushik, Javed Ashraf

In this project Machine Vision PCB Inspection System is applied at the first step of manufacturing, i.e., the making of bare PCB. We first compare a PCB standard image with a PCB image, using a simple subtraction algorithm that can highlight the main problem-regions. We have also seen the effect of noise in a PCB image that at what level this method is suitable to detect the faulty image. Our focus is to detect defects on printed circuit boards & to see the effect of noise. Typical defects that can be detected are over etchings (opens), under-etchings (shorts), holes etc......

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