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.

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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
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article

IoT-Enabled Railway Track Crack Detection System

M Babu, B.V. Chowdary, Velamala Vamsi, C. Siva Kumar et al.
International Journal of Engineering Technology and Management Sciences
Railway Engineering and Dynamics
article

IoT-Enabled Railway Track Crack Detection System

M Babu, B.V. Chowdary, Velamala Vamsi, C. Siva Kumar, T. Gopi, Mahaboob Subani Shaik
article en

Abstract

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.

International Journal of Engineering Technology and Management SciencesVol. 9(2)
Hindu College of Pharmacy (IN)
Openalex Percentile: Top 93%
Railway Engineering and Dynamics
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