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 …

Fabric defect detection using computer vision techniques: a comprehensive review

A Rasheed, B Zafar, A Rasheed, N Ali… - Mathematical …, 2020 - Wiley Online Library
There are different applications of computer vision and digital image processing in various
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

N Zeng, P Wu, Z Wang, H Li, W Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

[HTML][HTML] Evaluation of flow pattern recognition and void fraction measurement in two phase flow independent of oil pipeline's scale layer thickness

M Roshani, GTT Phan, PJM Ali, GH Roshani… - Alexandria Engineering …, 2021 - Elsevier
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 …

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 surface defect detection framework combined with dual-domain attention mechanism

J Tang, Z Wang, H Zhang, H Li, P Wu, N Zeng - Expert Systems with …, 2024 - Elsevier
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 …

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 …

[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 …

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 …