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 review and analysis of automatic optical inspection and quality monitoring methods in electronics industry
Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …
industries. In order to meet the high consumption demands on electronics components …
Soldering defect detection in automatic optical inspection
This paper proposes an integrated detection framework of solder joint defects in the context
of Automatic Optical Inspection (AOI) of Printed Circuit Boards (PCBs). Both localization and …
of Automatic Optical Inspection (AOI) of Printed Circuit Boards (PCBs). Both localization and …
Automated lithological map** by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold …
In this study, we proposed an automated lithological map** approach by using spectral
enhancement techniques and Machine Learning Algorithms (MLAs) using Airborne Visible …
enhancement techniques and Machine Learning Algorithms (MLAs) using Airborne Visible …
A high-performance deep learning algorithm for the automated optical inspection of laser welding
Y Yang, L Pan, J Ma, R Yang, Y Zhu, Y Yang, L Zhang - Applied Sciences, 2020 - mdpi.com
The battery industry has been growing fast because of strong demand from electric vehicle
and power storage applications. Laser welding is a key process in battery manufacturing. To …
and power storage applications. Laser welding is a key process in battery manufacturing. To …
Develo** a surface mount technology defect detection system for mounted devices on printed circuit boards using a MobileNetV2 with Feature Pyramid Network
This study proposes a method to develop an innovative robust fully automatic surface mount
technology (SMT) defect detection system using MobileNetV2 with Feature Pyramid Network …
technology (SMT) defect detection system using MobileNetV2 with Feature Pyramid Network …
Defect detection in electronic surfaces using template-based Fourier image reconstruction
DM Tsai, CK Huang - IEEE Transactions on Components …, 2018 - ieeexplore.ieee.org
For defect detection in nonperiodical pattern images, such as printed circuit boards or
integrated circuit dies found in the electronic industry, template matching could be the only …
integrated circuit dies found in the electronic industry, template matching could be the only …
An sEMG-based human–robot interface for robotic hands using machine learning and synergies
Develo** natural control strategies represents an intriguing challenge in the design of
human-robot interface (HRI) systems. The teleoperation of robotic gras** devices …
human-robot interface (HRI) systems. The teleoperation of robotic gras** devices …
A machine vision based automatic optical inspection system for measuring drilling quality of printed circuit boards
WC Wang, SL Chen, LB Chen, WJ Chang - IEEE access, 2016 - ieeexplore.ieee.org
In this paper, we develop and put into practice an automatic optical inspection (AOI) system
based on machine vision to check the holes on a printed circuit board (PCB). We incorporate …
based on machine vision to check the holes on a printed circuit board (PCB). We incorporate …
PCB defects target detection combining multi-scale and attention mechanism
W Jiang, T Li, S Zhang, W Chen, J Yang - Engineering Applications of …, 2023 - Elsevier
The detection of PCB defect quality plays an important role in PCB fabrication. However, the
size of the PCB defects is too small to identify. In order to improve the detection efficiency of …
size of the PCB defects is too small to identify. In order to improve the detection efficiency of …