A Systematic Literature Review on Artificial Intelligence and Explainable Artificial Intelligence for Visual Quality Assurance in Manufacturing

R Hoffmann, C Reich - Electronics, 2023 - mdpi.com
Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet
their specifications. However, manual QA processes are costly and time-consuming, thereby …

Development and validation of a digital twin framework for SMT manufacturing

R Seidel, B Rachinger, N Thielen, K Schmidt… - Computers in …, 2023 - Elsevier
Electronics manufacturing is a global industry and key to innovation in the virtual world
because it is the physical backbone. The cost-effective development and manufacture of …

SDD-Net: Soldering defect detection network for printed circuit boards

Q Ling, NAM Isa, MSM Asaari - Neurocomputing, 2024 - Elsevier
The rapid detection of soldering defects in printed circuit boards (PCBs) is crucial and a
challenge for quality control. Thus, a novel soldering defect detection network (SDD-Net) is …

A reliable solder joint inspection method based on a light-weight point cloud network and modulated loss

H Li, K Hao, B Wei, X Tang, Q Hu - Neurocomputing, 2022 - Elsevier
High-speed and high-reliability automated quality inspection is widely demanded in the
electronics industry. Recently, deep learning theory combined with many non-destructive …

FICS PCB X-ray: A dataset for automated printed circuit board inter-layers inspection

D Mehta, J True, OP Dizon-Paradis… - Cryptology ePrint …, 2022 - eprint.iacr.org
Advancements in computer vision and machine learning breakthroughs over the years have
paved the way for automated X-ray inspection (AXI) of printed circuit boards (PCBs) …

Towards Optimal Defect Detection in Assembled Printed Circuit Boards Under Adverse Conditions

M Noroozi, J Ghadermazi, A Shah… - IEEE Access, 2023 - ieeexplore.ieee.org
Defects in the printed circuit board assembly significantly impact product functionality and
quality. Automated optical inspection (AOI) systems, employed by manufacturing quality …

A Survey of PCB Defect Detection Algorithms

G Lakshmi, VU Sankar, YS Sankar - Journal of Electronic Testing, 2023 - Springer
Printed circuit boards (PCBs) are the first stage in manufacturing any electronic product. The
reliability of the electronic product depends on the PCB. The presence of manufacturing …

Large scale foundation models for intelligent manufacturing applications: a survey

H Zhang, SS Dereck, Z Wang, X Lv, K Xu, L Wu… - arXiv preprint arXiv …, 2023 - arxiv.org
Although the applications of artificial intelligence especially deep learning had greatly
improved various aspects of intelligent manufacturing, they still face challenges for wide …

Network Pruning and Fine-tuning for Few-shot Industrial Image Anomaly Detection

J Zhang, M Suganuma, T Okatani - 2023 IEEE 21st International …, 2023 - ieeexplore.ieee.org
This paper focuses on industrial image anomaly detection and localization under few-shot
settings. Since acquiring sufficient anomalous data is difficult, unsupervised learning that …

Comparing autoencoder variants for real-time denoising of hyperspectral X-ray

N Bonettini, CA Gonano, P Bestagini… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Hyperspectral X-ray analysis is used in many industrial pipelines, from quality control to
detection of low-density contaminants in food. Unfortunately, the signal acquired by X-ray …