FCD-YOLO: Improved YOLOv5 Based on Decoupled Head and Attention Mechanism for Defect Detection on Printed Circuit Board

H Xu - 2022 2nd International Conference on Networking …, 2022 - ieeexplore.ieee.org
Defect detection technology is an indispensable quality control technology in PCB
manufacturing. However, the effect of the existing PCB defect detection algorithm is not …

A Deep Learning Method for PCB Defect Detection Based on Improved Yolov8

P Zhu, Y Cai, F Li, J Kan, K Chen, F Dong - Proceedings of the …, 2024 - dl.acm.org
In order to improve the detection accuracy of printed circuit board (PCB), this paper
proposes a PCB defect detection model SWS-Yolov8n based on the Yolov8 model. Firstly …

Defect detection of printed circuit board based on improved YOLOv5

B He, JX Zhuo, XS Zhuo, SY Peng… - 2022 International …, 2022 - ieeexplore.ieee.org
Aiming at the problems of low efficiency, poor universality and high false detection rate in the
existing PCB defect detection methods, a PCB defect detection algorithm P-YOLOv5 based …

Printed Circuit Board Defect Detection Based on Improved YOLOv5

T Yang, Y Liu, C Jin, K Jiang, Q Duan… - … on Information and …, 2023 - ieeexplore.ieee.org
Aiming at the problems of low efficiency and poor real-time performance in the printed circuit
board (PCB) defect detection, a PCB defect detection method based on the improved …

Defect detection for PCB by combining shallow features and attention mechanism

L Xinting, Z Jie, LYU Shengping - … Integrated Manufacturing System, 2024 - cims-journal.cn
Defect detection is an important part of quality control in the production of Printed Circuit
Board (PCB). Due to the tiny size of PCB surface defects and the complex of traverse layout …

Defect detection for PCB by combining shallow features and attention mechanism

X LIAO, J ZHANG, S LYU - Computer Integrated Manufacturing …, 2024 - cims-journal.cn
Defect detection is an important part of quality control in the production of Printed Circuit
Board (PCB). Due to the tiny size of PCB surface defects and the complex of traverse layout …

Improved YOLOv5s combining enhanced backbone network and optimized self-attention for PCB defect detection

Y Zhang, M Xu, Q Zhu, S Liu, G Chen - The Journal of Supercomputing, 2024 - Springer
As the foundation of circuits and electronic systems, the quality of printed circuit boards
(PCBs) is directly related to the reliability of the whole system. At present, deep learning …

PCB defect target detection based on improved YOLOv5s

X Chen, Y Zhou - Proceedings of the 2023 7th International Conference …, 2023 - dl.acm.org
Printed circuit boards are an important part of electronic products. Ensuring the quality of
printed circuit boards is an important task. Traditional target detection methods require …

[HTML][HTML] PCB-YOLO: An improved detection algorithm of PCB surface defects based on YOLOv5

J Tang, S Liu, D Zhao, L Tang, W Zou, B Zheng - Sustainability, 2023 - mdpi.com
To address the problems of low network accuracy, slow speed, and a large number of model
parameters in printed circuit board (PCB) defect detection, an improved detection algorithm …

A Fast Detection Algorithm for Surface Defects of Bare PCB Based on YOLOv8

M Yan, Y Fan, Y Jiang, Z Fang - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Bare PCB (Printed Circuit Board) surface defect detection is an important step in the
automated production of PCB. To meet the requirements of production efficiency, the …