IoT-Enabled Railway Track Crack Detection System

作者：Mahaboob Subani Shaik, C. Siva Kumar, M. Jagadeesh Babu, T. Gopi, Velamala Vamsi, Bachina Mokshagna Chowdary · 发表于：International Journal of Engineering Technology and Management Sciences · 年份：2025 · DOI：10.46647/ijetms.2025.v09i02.039 · 研究领域：Railway Engineering and Dynamics、Vehicle License Plate Recognition、Infrastructure Maintenance and Monitoring

The proposed IoT-enabled crack detection system enhances railway safety by addressing undetectedrail track cracks that can lead to derailments and economic losses. This innovative solution utilizesautomated anomaly detection, geolocation tracking, and cloud-based analytics through a compactautonomous robotic unit that traverses rail tracks to identify surface and sub-surface defects withhigh precision. Upon detecting a crack, the system generates immediate alerts via audible alarmsand visual signals while transmitting geotagged data to a cloud platform for remote monitoring andpredictive maintenance. Experimental validation demonstrates its effectiveness in ensuring timelydefect detection and localization, significantly mitigating derailment risks and safeguarding lives.