IoT-Enabled Railway Track Crack Detection System
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.
Authors
- M Babu (ORCID: https://orcid.org/0000-0002-4643-2402)
- B.V. Chowdary (ORCID: https://orcid.org/0000-0003-1310-2076)
- Velamala Vamsi
- C. Siva Kumar
- T. Gopi
- Mahaboob Subani Shaik
Institutions
- Hindu College of Pharmacy (IN)
Publication Details
- Journal
- International Journal of Engineering Technology and Management Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.46647/ijetms.2025.v09i02.039
- Primary Topic
- Railway Engineering and Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00