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PCB Defect Detection by Image Processing

Author(s):

Shweta Madhukar Barve , keystone school of engineering; Gauri Suryakant Shinde, keystone school of engineering; Shraddha Pandurang Holkar, keystone school of engineering

Keywords:

Printed Circuit board (PCB), Image Processing

Abstract

A Printed Circuit board (PCB) is used to connect different electronic components mounted on it using pathways or tracks which is etched from copper sheets. An automatic PCB defect detection is an approach that can used to counter difficulties occurred in manual inspection that can eliminate subjective aspects and then provide fast assessments. This project different approach have been implemented on reference and test PCB images to detect defects on bare PCBs before etching process, since etching usually contributes most destructive defect found on PCBs. We first compare a PCB standard image with the PCB test image using simple subtraction algorithm that can highlight the main problem regions. The defects that can be detected are over etchings (opens), under etchings (shorts), holes, etc.

Other Details

Paper ID: IJSRDV5I120279
Published in: Volume : 5, Issue : 12
Publication Date: 01/03/2018
Page(s): 677-679

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