research-article

Defect Recognition of Printed Circuit Board Based on YOLOv3-DenseNet Optimization Model

Authors:

Shujie ZhangAuthors Info & Claims

IVSP '22: Proceedings of the 2022 4th International Conference on Image, Video and Signal Processing

Pages 62 - 69

https://doi.org/10.1145/3531232.3531241

Published: 01 June 2022 Publication History

Abstract

Accurate detection of fabrication defects of printed circuit boards (PCB) is essential for quality control of electronic products. However, due to the small feature size of PCB defects, the existing target recognition algorithms still show difficulty in processing defect detection of PCBs with complex circuit layouts. In response to this problem, we propose a novel YOLOv3-DenseNet for defect detection of PCBs. The YOLOv3-DenseNet is based on YOLOv3 with key improvements: firstly, the residual units in YOLOv3 are partially replaced by dense blocks to enhance the feature reuse of the networks; secondly, the loss function is revised by adopting the generalized intersection over union (GIOU) between the predicted box and the ground truth, to tackle the termination of optimization process when IOU is zero. Result comparison shows that the proposed YOLOv3-DenseNetoutperforms other commonly used YOLOv3 family models in term of recognition accuracy, while the model size is even smaller.

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Cited By

Wang YLi YKayes DAbdullahi HGao SZhang HSong ZLv P(2024)Research on a Lightweight PCB Detection Algorithm Based on AE-YOLOIEEE Access10.1109/ACCESS.2024.343952312(109367-109379)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3439523
Yang JLiu ZDu WZhang S(2023)A PCB Defect Detector Based on Coordinate Feature RefinementIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.332248372(1-10)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3322483

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cover image ACM Other conferences

IVSP '22: Proceedings of the 2022 4th International Conference on Image, Video and Signal Processing

March 2022

237 pages

ISBN:9781450387415

DOI:10.1145/3531232

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 01 June 2022

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National Key Research and Development Program of China
Fundamental Research Funds for the Central University in China

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IVSP 2022

IVSP 2022: 2022 4th International Conference on Image, Video and Signal Processing

March 18 - 20, 2022

Singapore, Singapore

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Cited By

Wang YLi YKayes DAbdullahi HGao SZhang HSong ZLv P(2024)Research on a Lightweight PCB Detection Algorithm Based on AE-YOLOIEEE Access10.1109/ACCESS.2024.343952312(109367-109379)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3439523
Yang JLiu ZDu WZhang S(2023)A PCB Defect Detector Based on Coordinate Feature RefinementIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.332248372(1-10)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3322483

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