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A Survey on Various Approaches of Automatic Optical Inspection for PCB Defect Detection

Mukesh Kumar1 , Manjesh Kumar2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 837-841, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.837841

Online published on Jun 30, 2019

Copyright © Mukesh Kumar, Manjesh Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Mukesh Kumar, Manjesh Kumar, “A Survey on Various Approaches of Automatic Optical Inspection for PCB Defect Detection,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.837-841, 2019.

MLA Style Citation: Mukesh Kumar, Manjesh Kumar "A Survey on Various Approaches of Automatic Optical Inspection for PCB Defect Detection." International Journal of Computer Sciences and Engineering 7.6 (2019): 837-841.

APA Style Citation: Mukesh Kumar, Manjesh Kumar, (2019). A Survey on Various Approaches of Automatic Optical Inspection for PCB Defect Detection. International Journal of Computer Sciences and Engineering, 7(6), 837-841.

BibTex Style Citation:
@article{Kumar_2019,
author = {Mukesh Kumar, Manjesh Kumar},
title = {A Survey on Various Approaches of Automatic Optical Inspection for PCB Defect Detection},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {837-841},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4639},
doi = {https://doi.org/10.26438/ijcse/v7i6.837841}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.837841}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4639
TI - A Survey on Various Approaches of Automatic Optical Inspection for PCB Defect Detection
T2 - International Journal of Computer Sciences and Engineering
AU - Mukesh Kumar, Manjesh Kumar
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 837-841
IS - 6
VL - 7
SN - 2347-2693
ER -

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Abstract

The Printed circuit board (PCB) is one of the crucial components of the electronics industry. An automated visual inspection system is required to provide a fast and quantitative assessment of PCB, since manual defect detection system is not efficient and time-consuming. Machine vision technology is an alternative to manual inspections and measurements with the help of high-resolution digital camera and image processing. This paper presents the various possible defects in PCB that can affect the working of electronic gadgets. Major defects are classified mainly under Fatal and Potential that can be detected mainly by any of the three approaches as Referential, Non-referential, and, Hybrid to find out defects present in PCB. After a comparative study of these methods, we have tried to find out the significantly fast and accurate method.

Key-Words / Index Term

PCB, Automated Visual inspection, Machine Vision, Image processing, Referential, Non-referential, Hybrid approach

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