A review and analysis of automatic optical inspection and quality monitoring methods in electronics industry

M Abd Al Rahman, A Mousavi - Ieee Access, 2020 - ieeexplore.ieee.org
Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …

A review of various defects in PCB

VU Sankar, G Lakshmi, YS Sankar - Journal of Electronic Testing, 2022 - Springer
Abstract Printed Circuit Boards (PCBs) are the building blocks for all electronic products.
Fabrication of a PCB involves various mechanical and chemical processes. As obtaining …

Detection defect in printed circuit boards using unsupervised feature extraction upon transfer learning

I Volkau, A Mujeeb, D Wenting… - … on cyberworlds (CW), 2019 - ieeexplore.ieee.org
Automatic optical inspection for manufacturing traditionally was based on computer vision.
However, there are emerging attempts to do it using deep learning approach. Deep …

The use of a convolutional neural network in detecting soldering faults from a printed circuit board assembly

MB Akhtar - HighTech and Innovation Journal, 2022 - hightechjournal.org
Abstract Automatic Optical Inspection (AOI) is any method of detecting defects during a
Printed Circuit Board (PCB) manufacturing process. Early AOI methods were based on …

Automatic optical inspection for defective PCB detection using transfer learning

LHS Silva, GOA Azevedo… - 2019 IEEE Latin …, 2019 - ieeexplore.ieee.org
Automated Optical Inspection (AOI), based on machine vision, has been widely used in the
industry to perform quality control in various manufacturing segments. In addition to …

A machine learning based approach to detect false calls in SMT manufacturing

N Thielen, D Werner, K Schmidt… - … spring seminar on …, 2020 - ieeexplore.ieee.org
False calls are an undesired occurrence in manufacturing of printed circuit boards that have
to be verified manually after the automated optical inspection}(AOI). In this paper, the …

Defect detection in printed circuit boards using semi-supervised learning

TTA Pham, DKT Thoi, H Choi, S Park - Sensors, 2023 - mdpi.com
Defect inspection is essential in the semiconductor industry to fabricate printed circuit boards
(PCBs) with minimum defect rates. However, conventional inspection systems are labor …

Design of a laboratory scale Automatic Optical Inspection prototype system for scanning of conveyor belt surfaces—A case study

P Banerjee, D Chakravarty, B Samanta - Measurement, 2023 - Elsevier
The design and assembly of an Automatic Optical Inspection (AOI) system is a complex
process for any production scenario that considers process quality outcome and loss as an …

The impact of a number of samples on unsupervised feature extraction, based on deep learning for detection defects in printed circuit boards

I Volkau, A Mujeeb, W Dai, M Erdt, A Sourin - Future Internet, 2021 - mdpi.com
Deep learning provides new ways for defect detection in automatic optical inspections (AOI).
However, the existing deep learning methods require thousands of images of defects to be …

Improving the performance of automated optical inspection (AOI) using machine learning classifiers

V Reshadat, RAJW Kapteijns - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Automated Optical Inspection (AOI) machines inspect the Printed Circuit Board (PCB)
manufacturing visually using a camera autonomously scans the device under test for both …