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 …

Application of neural networks in optical inspection and classification of solder joints in surface mount technology

G Acciani, G Brunetti, G Fornarelli - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
The defect detection on manufactures is extremely important in the optimization of industrial
processes; particularly, the visual inspection plays a fundamental role. The visual inspection …

Defect detection of printed circuit board based on lightweight deep convolution network

J Shen, N Liu, H Sun - IET Image Processing, 2020 - Wiley Online Library
With the rapid development of the electronic industry, the defect detection of printed circuit
board (PCB) components is becoming more and more important. The types of PCB …

A review of SMD-PCB defects and detection algorithms

AFM Hani, AS Malik, R Kamil… - … Conference on Machine …, 2012 - spiedigitallibrary.org
Detection and classification of defects on surface mount device printed circuit board (SMD-
PCB) is an important requirement in electronic manufacturing process. This process which is …

Eddy-current testing probe with spin-valve type GMR sensor for printed circuit board inspection

S Yamada, K Chomsuwan, Y Fukuda… - IEEE Transactions …, 2004 - ieeexplore.ieee.org
This paper proposes an eddy-current testing (ECT) probe composed of a spin-valve giant
magnetoresistance (SV-GMR) sensor and a meander coil for the inspection of bare printed …

[PDF][PDF] A multiple neural network system to classify solder joints on integrated circuits

G Acciani, G Brunetti, G Fornarelli - International Journal of computational …, 2006 - Citeseer
The following paper introduces a diagnostic process to detect solder joint defects on Printed
Circuit Boards assembled in Surface Mounting Technology. The diagnosis is accomplished …

A neurofuzzy method for the evaluation of soldering global quality index

A Giaquinto, G Fornarelli, G Brunetti… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Recently, surface mount technology is extensively used in the production of printed circuit
boards due to the high level of miniaturization and to the increase of density in the electronic …

Improvement on defect detection performance of PCB inspection based on ECT technique with multi-SV-GMR sensor

K Chomsuwan, S Yamada… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
This paper describes the improvement on the defect detection performance of printed circuit
board (PCB) inspection based on the eddy-current testing (ECT) technique with the …

An algorithm for automated feature detection of eddy current defects using sum of Gaussian method

JW Earnest - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
This article describes an algorithm used to automatically detect differential coil eddy current
(EC) defect signal features using a sum of Gaussians approach. Defect signals are …

Using computer theory to detect PCB defects in an IoT environment

L Gao, F Zheng, JY Bian - The Journal of Supercomputing, 2022 - Springer
All kinds of electronic products, such as motherboards, digital cameras, mobile phones and
even chip products in manufacturing production processes, require some form of defect …