ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
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Paper Title
FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL
Authors
Abhay Bapurao Shinde , Sumit Dattatray Suryawanshi , Yashwardhan Manohar Takawane , Siddhant Pralhad Sardar , Komal Rathod
Keywords
Printed Circuit Board (PCB), Fault Detection, Defect Detection, Convolutional Neural Network (CNN), PCB Inspection
Abstract
Defects in Printed Circuit Boards (PCBs) formed during the manufacturing process significantly impact product quality and can compromise the overall performance and reliability of electronic systems. Detecting these minute defects remains a major challenge due to the dense and complex structure of PCBs. To overcome this, the project presents an enhanced deep learning approach using a modified YOLO-based model that combines Hornet, MCBAM, and CARAFE modules. This improved architecture enables more precise and efficient detection of small-scale PCB defects while reducing model complexity and computational requirements. Keywords - Machine Learning (ML), Defect Detection, Machine Vision, Printed Circuit Boards (PCBs), YOLOv8.
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IJCRT — journal style
"FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.i18-i22, April 2026, Available :https://ijcrt.org/papers/IJCRT2604934.pdf
APA — 7th edition
Shinde, A. B., Suryawanshi, S. D., Takawane, Y. M., Sardar, S. P., & Rathod, K. (2026). FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL. International Journal of Creative Research Thoughts, 14(4), i18-i22. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604934
MLA — 9th edition
Shinde, Abhay Bapurao, et al. "FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. i18-i22, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604934.
Chicago — 17th, bibliography
Shinde, Abhay Bapurao, et al. "FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL." International Journal of Creative Research Thoughts 14, no. 4 (2026): i18-i22. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604934.
Harvard — author–date
Shinde, A.B. et al. (2026) 'FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL', International Journal of Creative Research Thoughts, 14(4), pp. i18-i22. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604934
IEEE — numbered reference
A. B. Shinde, S. D. Suryawanshi, Y. M. Takawane, S. P. Sardar and K. Rathod, "FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL," IJCRT, vol. 14, no. 4, pp. i18-i22, Apr. 2026.
Vancouver — biomedical
Shinde AB, Suryawanshi SD, Takawane YM, Sardar SP, Rathod K. FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL. IJCRT. 2026 Apr;14(4):i18-i22.
AMA — 11th edition
Shinde AB, Suryawanshi SD, Takawane YM, Sardar SP, Rathod K. FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL. IJCRT. 2026;14(4):i18-i22. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604934
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604934,
author = {Abhay Bapurao Shinde and Sumit Dattatray Suryawanshi and Yashwardhan Manohar Takawane and Siddhant Pralhad Sardar and Komal Rathod},
title = {FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {4},
pages = {i18-i22},
year = {2026},
month = {April},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604934}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Shinde, Abhay Bapurao
AU - Suryawanshi, Sumit Dattatray
AU - Takawane, Yashwardhan Manohar
AU - Sardar, Siddhant Pralhad
AU - Rathod, Komal
TI - FAULT DETECTION SYSTEM FOR QUALITY PCB USING CNN MODEL
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 4
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604934
SP - i18-i22
ER -
Issue
Volume 14 Issue 4,
April-2026
Pages : i18-i22
Article Information
- Pages
- i18-i22
- Published
- April 2026
- Registration ID
- IJCRT_306318
- Published Paper ID
- IJCRT2604934
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Pune, Maharashtra, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 120
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604934
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2604934.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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