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 …
contemporary electronic information goods, directly influences the efficiency and …
Fabric defect detection using computer vision techniques: a comprehensive review
There are different applications of computer vision and digital image processing in various
applied domains and automated production process. In textile industry, fabric defect …
applied domains and automated production process. In textile industry, fabric defect …
A small-sized object detection oriented multi-scale feature fusion approach with application to defect detection
Object detection is a well-known task in the field of computer vision, especially the small
target detection problem that has aroused great academic attention. In order to improve the …
target detection problem that has aroused great academic attention. In order to improve the …
Detection of PCB surface defects with improved faster-RCNN and feature pyramid network
B Hu, J Wang - Ieee Access, 2020 - ieeexplore.ieee.org
Defect detection is an essential requirement for quality control in the production of printed
circuit boards (PCBs) manufacturing. The traditional defect detection methods have various …
circuit boards (PCBs) manufacturing. The traditional defect detection methods have various …
[HTML][HTML] Evaluation of flow pattern recognition and void fraction measurement in two phase flow independent of oil pipeline's scale layer thickness
The main objective of the present research is to combine the effect of scale thickness on the
flow pattern and characteristics of two-phase flow that is used in oil industry. In this regard …
flow pattern and characteristics of two-phase flow that is used in oil industry. In this regard …
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 …
device. With the rapid development of integrated circuit and semiconductor technology, the …
A lightweight surface defect detection framework combined with dual-domain attention mechanism
In this paper, a lightweight printed circuit board (PCB) defects detection model (light-PDD) is
proposed, which mainly concentrates on overcoming the deficiencies of redundant …
proposed, which mainly concentrates on overcoming the deficiencies of redundant …
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 …
parameters in printed circuit board (PCB) defect detection, an improved detection algorithm …
[HTML][HTML] Cognitive load management in mobile learning systems: principles and theories
B Curum, KK Khedo - Journal of Computers in Education, 2021 - Springer
With the widespread adoption of mobile technologies, mobile-assisted learning is gaining
lots of momentum. This new learning paradigm promotes education across different …
lots of momentum. This new learning paradigm promotes education across different …
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 …
manufacturing. Existing defect detection networks have several problems: low detection …