[HTML][HTML] Reconstruction-based visual anomaly detection in wound rotor synchronous machine production using convolutional autoencoders and structural similarity

M Kohler, D Mitsios, C Endisch - Journal of Manufacturing Systems, 2025 - Elsevier
Manufacturing wound rotor synchronous machines (WRSMs) for electric vehicle traction
systems necessitates rigorous quality inspection to ensure optimal product performance and …

Domain-independent detection of known anomalies

J Bühler, J Fehrenbach, L Steinmann, C Nauck… - arXiv preprint arXiv …, 2024 - arxiv.org
One persistent obstacle in industrial quality inspection is the detection of anomalies. In real-
world use cases, two problems must be addressed: anomalous data is sparse and the same …

AM-CFDN: semi-supervised anomaly measure-based coal flow foreign object detection network

W Li, Y Yu, C Wang, X Zhang, J Duan, L Bai - International Journal of …, 2024 - Springer
In underground coal mine transportation systems, conveyor belts are often affected by
foreign objects such as gangue, steel wires, and wooden planks. Foreign objects not only …

Fast and efficient computing for deep learning-based defect detection models in lightweight devices

A Fişne, A Kalay, S Eken - Journal of Intelligent Manufacturing, 2024 - Springer
Defect anomaly detection is beneficial in the production cycle of various industries. It is
widely used in areas such as metal surface and fabric industries. This paper focuses on …

Fully unsupervised wear anomaly assessment of aero-bearings enhanced by multi-representation learning of deep features

T Shao, L Zhang, S Wang, T Wu, Q Wang, C Han - Tribology International, 2024 - Elsevier
The assessment of wear anomalies using vision-based techniques is crucial for automated
inspections of machine health conditions. Given the diversity of worn anomalies and the time …

A Novel Equipment Based on Improved YOLOv5s for Automated Electrical Cover Handling

Z Gan, J Li, P Wu, Y Bai, B Xiong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the rapid development of the power industry, the number of power cables has
increased significantly, making the improvement of maintenance efficiency a critical issue …

[PDF][PDF] Advancements in Electronic Component Assembly: Real-Time AI-Driven Inspection Techniques.

E Weiss - Electronics (2079-9292), 2024 - cybord.ai
This study presents an advanced methodology for improving electronic assembly quality
through real-time, inline inspection utilizing state-of-the-art artificial intelligence (AI) and …

Unsupervised Visual Anomaly Detection Using Self-Supervised Pre-Trained Transformer

JH Kim, GR Kwon - IEEE Access, 2024 - ieeexplore.ieee.org
In the various industrial manufacturing processes, the automatic visual inspection system is
an essential part as it reduces the chances of delivering defective products and the cost of …

[HTML][HTML] Hybrid Machine Learning for Automated Road Safety Inspection of Auckland Harbour Bridge

M Rathee, B Bačić, M Doborjeh - Electronics, 2024 - mdpi.com
The Auckland Harbour Bridge (AHB) utilises a movable concrete barrier (MCB) to regulate
the uneven bidirectional flow of daily traffic. In addition to the risk of human error during …

Unsupervised Visual-to-Geometric Feature Reconstruction for Vision-Based Industrial Anomaly Detection

DC Hoang, PX Tan, AN Nguyen, DT Tran… - IEEE …, 2025 - ieeexplore.ieee.org
Industrial anomaly detection involves identifying abnormal regions in products and plays a
crucial role in quality inspection. While 2D image-based anomaly detection has been …