[HTML][HTML] Application of automation for in-line quality inspection, a zero-defect manufacturing approach

V Azamfirei, F Psarommatis, Y Lagrosen - Journal of Manufacturing …, 2023 - Elsevier
Contemporary manufacturing must prioritise the sustainability of its manufacturing processes
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …

Mixed supervision for surface-defect detection: From weakly to fully supervised learning

J Božič, D Tabernik, D Skočaj - Computers in Industry, 2021 - Elsevier
Deep-learning methods have recently started being employed for addressing surface-defect
detection problems in industrial quality control. However, with a large amount of data …

A systematic review of object detection from images using deep learning

J Kaur, W Singh - Multimedia Tools and Applications, 2024 - Springer
The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

Insulator faults detection in aerial images from high-voltage transmission lines based on deep learning model

C Liu, Y Wu, J Liu, Z Sun, H Xu - Applied Sciences, 2021 - mdpi.com
Insulator fault detection is one of the essential tasks for high-voltage transmission lines'
intelligent inspection. In this study, a modified model based on You Only Look Once (YOLO) …

Improved YOLOv3 network for insulator detection in aerial images with diverse background interference

C Liu, Y Wu, J Liu, Z Sun - Electronics, 2021 - mdpi.com
Automatic inspection of insulators from high-voltage transmission lines is of paramount
importance to the safety and reliable operation of the power grid. Due to different size …

An improved method based on deep learning for insulator fault detection in diverse aerial images

J Liu, C Liu, Y Wu, H Xu, Z Sun - Energies, 2021 - mdpi.com
Insulators play a significant role in high-voltage transmission lines, and detecting insulator
faults timely and accurately is important for the safe and stable operation of power grids …

[HTML][HTML] Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment

VM Vargas, PA Gutiérrez, R Rosati, L Romeo… - Computers in …, 2023 - Elsevier
In the last years, multiple quality control tasks consist in classifying some items based on
their aesthetic characteristics (aesthetic quality control, AQC), where usually the aspect of …

[HTML][HTML] BIM-supported drone path planning for building exterior surface inspection

X Huang, Y Liu, L Huang, S Stikbakke, E Onstein - Computers in Industry, 2023 - Elsevier
Digitalization in the architectural, engineering, and construction (AEC) industry highlights the
interdisciplinary collaboration between complex systems to provide fast and efficient …

Tiny machine learning for high accuracy product quality inspection

A Albanese, M Nardello, G Fiacco… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The quality inspection of industrial products is a fundamental step in large-scale production
as it boosts the yield and reduces the costs. Intelligent embedded platforms with built-in tiny …

Planning for automatic product assembly using reinforcement learning

H Zhang, Q Peng, J Zhang, P Gu - Computers in Industry, 2021 - Elsevier
Assembly connects functional modules and components of products. The efficient and
accurate assembly can improve performance of the product operation and maintenance. It is …