Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook

RS Peres, X Jia, J Lee, K Sun, AW Colombo… - IEEE …, 2020 - ieeexplore.ieee.org
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …

A multi-modal context-aware sequence stage validation for human-centric AR assembly

W Fang, T Zhang, Z Wang, J Ding - Computers & Industrial Engineering, 2024 - Elsevier
Augmented reality (AR) has demonstrated its superior performance to benefit manual
assembly tasks by delivering intuitive guidance on the workbench directly, alleviating the …

Projection-based augmented reality assistance for manual electronic component assembly processes

M Ojer, H Alvarez, I Serrano, FA Saiz, I Barandiaran… - Applied Sciences, 2020 - mdpi.com
Personalized production is moving the progress of industrial automation forward, and
demanding new tools for improving the decision-making of the operators. This paper …

Co2iAR: Co-located audio-visual enabled mobile collaborative industrial AR wiring harness assembly

W Fang, L Chen, T Zhang, H Hu, J Bi - Robotics and Computer-Integrated …, 2024 - Elsevier
Existing augmented reality (AR) assembly mainly provides visual instructions for operators
from a first-person perspective, and it is hard to share individual working intents for co …

An augmented reality maintenance assistant with real-time quality inspection on handheld mobile devices

J Frandsen, J Tenny, W Frandsen Jr… - The International Journal …, 2023 - Springer
Advances of industry 4.0 are enabling augmented reality (AR) devices to be deployed
across the manufacturing sector to enhance worker engagement and performance. This …

Implementation of machine vision based quality inspection in production: an approach for the accelerated execution of case studies

T Reichenstein, T Raffin, C Sand, J Franke - Procedia CIRP, 2022 - Elsevier
The implementation of machine vision based quality inspection systems increases
productivity and reduces human error during visual inspection, thus improving product …

Deep learning-based automatic optical inspection system empowered by online multivariate autocorrelated process control

KJ Wang, LJ Asrini - The International Journal of Advanced Manufacturing …, 2022 - Springer
Defect identification of tiny-scaled electronics components with high-speed throughput
remains an issue in quality inspection technology. Convolutional neural networks (CNNs) …

PCB Soldering Defect Inspection Using Multitask Learning under Low Data Regimes

SH Tsang, Z Suo, TTL Chan… - Advanced Intelligent …, 2023 - Wiley Online Library
To increase the reliability of the printed circuit board (PCB) manufacturing process,
automated optical inspection is often employed for soldering defect detection. However …

An Augmented Reality tool to support Industry 5.0 operators in product assembly activities

E Marino, L Barbieri, C Sollazzo, F Bruno - The International Journal of …, 2024 - Springer
Industries are increasingly integrating innovative technologies to enhance productivity,
ensure high-quality products, and reduce costs and time. Augmented reality (AR) plays a …

A versatile machine vision algorithm for real-time counting manually assembled pieces

P Pierleoni, A Belli, L Palma, L Sabbatini - Journal of Imaging, 2020 - mdpi.com
The Industry 4.0 paradigm is based on transparency and co-operation and, hence, on
monitoring and pervasive data collection. In highly standardized contexts, it is usually easy …