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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM59977

Smart Railway Track Monitoring and Fault Detection

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM59977

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem59977

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PK

Prathamesh Khandale

TK

Tanish Kunjir

SM

Sudarshan Malode

SSP

Sarika. S. Patil

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Abstract

Railway transportation is a backbone of modern infrastructure, but safety remains a major challenge due to undetected track faults such as cracks, misalignment, and obstacles. Traditional manual inspection methods are inefficient, time-consuming, and prone to human error. This paper presents the design and implementation of a Smart Railway Track Monitoring and Fault Detection System that enables real-time fault detection and alerting. The system uses ultrasonic sensors to continuously monitor track conditions by measuring distance variations. An ATmega8 microcontroller processes the sensor data and detects faults based on predefined threshold values. When a fault is identified, a GSM SIM900A module sends an instant SMS alert to maintenance personnel. A 16×2 LCD display shows system status, while an L293D motor driver with a BO motor simulates train movement and demonstrates real-time response. The system achieves approximately 95% accuracy with a 2–5 second alert delay, ensuring fast and reliable fault detection. This solution is cost-effective, energy- efficient, and suitable for improving railway safety by replacing manual inspection with automated monitoring.

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Cite This Article

Prathamesh Khandale, Tanish Kunjir, Sudarshan Malode, Sarika. S. Patil, "Smart Railway Track Monitoring and Fault Detection," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem59977

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Publication Date

4/13/2026

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Double-Blind Peer Review

Review Rounds: 2

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