Abstract :

Railway Safety Is A Critical Issue Due To The Occurrence Of Track Defects Such As Cracks, Gaps, And Mismatch, Which May Result In Severe Accidents. In Order To Provide Continuous Monitoring And Real-time Identifying Issues, This Study Proposes An Internet Of Things-based Railway Track Guard System. In Order To Detect Variations, The System Integrates Sensor Units Placed Along The Track With An ESP32 Microprocessor. Data Is Analysed And Sent To The Firebase Cloud Platform For Remote Monitoring And Immediate Alert Generation Upon The Detection Of A Failure. Additionally, The System Provides Location-based Monitoring And Delivers Instant Alerts Through LED Indicators And A Buzzer. Stable Operation Is Confirmed By Experimental Findings In Both Normal And Breakdown Settings. The Proposed Fix Outperforms Conventional Methods In Terms Of Accuracy, Automation, And Efficiency. All Things Taken Into Account It Improves Railway Safety And Provides An Inexpensive Answer For Modern Railway Systems. Keywords—IoT, Railway Safety, Track Fault Detection, ESP32, Firebase, Real-Time Monitoring, Sensor Networks, Smart Railway Systems

Published:

31-3-2026

Issue:

Vol. 26 No. 3 (2026)

Page Nos:

1147-1151

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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