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Paper Details

Paper Title
PRINTED CIRCUIT BOARD FAULT DETECTION
Abstract
The prime intention of this paper is to disclose the defects that are introduced during production of printed circuit boards (PCB).The electronic gadgets possess a precise and distinct PCB designs. Carrying out the quality inspection of printed circuit boards is tedious. This complication can be eliminated by using image subtraction algorithm during the inspection of PCBs. In this paper, comparison of bare PCBs is processed by engaging image subtraction algorithm which was efficiently used in digital image processing. The error spots in the PCBs are identified and indicated in resultant image of the algorithm. The work was simulated and verified by using openCV software and Anaconda-Spyder package.
KeyWord
Comparison, Digital image processing, Image subtraction algorithm, openCV, Printed circuit board, Anaconda-Spyder.
Others Details
Paper Id : 37990
Author Name : KOWSALYA P
Co-Author Name(s) : Kavinaya.KKrithika.B
Volume/Issue No : Volume 05 Issue 04
Page No : 5-10
DOI Number : DOI:10.21090/IJAERD.37990
Publication Date : 2018-04-04
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website : http://www.ijaerd.com/index.php
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406