PCB Analysis by Automatic Visual Inspection using Image Processing |
Author(s): |
| Sanjay Bhilegoankar , BVCOEW; Manisha Sul, BVCOEW; Sabista Tamboli, BVCOEW; Srushti Nanderkar, BVCOEW |
Keywords: |
| Visual inspection, image processing, printed circuit boards, Defect detection, Defect classification |
Abstract |
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As we know printed circuit boards are the most important and crucial part of any electronic product. So the thing comes into consideration is PCBs have to be non defected. PCBs are the heart of electronic production. So there is need of producing zero defects PCBs. The defect in the PCBs are detected using the MATLAB Image Processing. There are various defects which may occur on PCB such as missing track, missing component etc. so we have to take care of this before it gets placed in any product. We are using various image processing operations such as image subtraction, feature extraction etc which helps in finding certain type of defects. Real printed circuit boards are tested and evaluated with the standard PCBs. This paper presents Automatic visual inspection system for producing PCBS with minimum errors or zero defects. |
Other Details |
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Paper ID: IJSRDV4I20034 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 697-699 |
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