crossrefJournal of Sensor and Actuator Networks2026-05-27
Automatic Fault Detection and Prediction of AGV Magnetic Track Using Machine Learning and Computer Vision
Jules Bekoka Botomba, Akhlaqur Rahman, Daniel T. H. Lai, Vishal Sharma
The rise of Industry 4.0 has accelerated the adoption of intelligent automation in high-throughput manufacturing environments. Automated guided vehicles (AGVs) rely heavily on magnetic guidance tracks, which are susceptible to wear, contamination, and structural degradation. Thes…