Review of vision-based defect detection research and its perspectives for printed circuit board

Y Zhou, M Yuan, J Zhang, G Ding, S Qin - Journal of Manufacturing …, 2023 - Elsevier
The quality of the printed circuit board (PCB), an essential critical connection in
contemporary electronic information goods, directly influences the efficiency and …

Printed circuit board defect detection methods based on image processing, machine learning and deep learning: A survey

Q Ling, NAM Isa - IEEE Access, 2023 - ieeexplore.ieee.org
Printed circuit boards (PCBs) are a nearly ubiquitous component of every kind of electronic
device. With the rapid development of integrated circuit and semiconductor technology, the …

A lightweight modified YOLOX network using coordinate attention mechanism for PCB surface defect detection

W Xuan, G Jian-She, H Bo-Jie… - IEEE sensors …, 2022 - ieeexplore.ieee.org
Surface defect detection for the printed circuit board (PCB) is essential in PCB
manufacturing. Existing defect detection networks have several problems: low detection …

YOLOv4-MN3 for PCB surface defect detection

X Liao, S Lv, D Li, Y Luo, Z Zhu, C Jiang - Applied Sciences, 2021 - mdpi.com
Featured Application An improved YOLOv4 algorithm for PCB surface defect detection can
achieve higher detection accuracy and faster detection speed with lower memory …

Deep learning for automatic vision-based recognition of industrial surface defects: a survey

M Prunella, RM Scardigno, D Buongiorno… - IEEE …, 2023 - ieeexplore.ieee.org
Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

A comprehensive review of deep learning-based PCB defect detection

X Chen, Y Wu, X He, W Ming - IEEE Access, 2023 - ieeexplore.ieee.org
A printed circuit board (PCB) functions as a substrate essential for interconnecting and
securing electronic components. Its widespread integration is evident in modern electronic …

A deep learning model for detecting cage-free hens on the litter floor

X Yang, L Chai, RB Bist, S Subedi, Z Wu - Animals, 2022 - mdpi.com
Simple Summary Real-time and automatic detection of chickens such as laying hens and
broilers is the cornerstone of precision poultry farming. For laying hens, it is more …

[HTML][HTML] Monitoring activity index and behaviors of cage-free hens with advanced deep learning technologies

X Yang, R Bist, B Paneru, L Chai - Poultry Science, 2024 - Elsevier
Chickens' behaviors and activities are important information for managing animal health and
welfare in commercial poultry houses. In this study, convolutional neural networks (CNN) …

Online visual end-to-end detection monitoring on surface defect of aluminum strip under the industrial few-shot condition

Z Ma, Y Li, M Huang, N Deng - Journal of Manufacturing Systems, 2023 - Elsevier
Surface defect detection systems based on deep learning are employed in the
manufacturing system, and their good detection performance largely relies on abundant …

A dataset for deep learning based detection of printed circuit board surface defect

S Lv, B Ouyang, Z Deng, T Liang, S Jiang, K Zhang… - Scientific Data, 2024 - nature.com
Printed circuit board (PCB) may display diverse surface defects in manufacturing. These
defects not only influence aesthetics but can also affect the performance of the PCB and …