International Journal of Research and Development in Engineering Sciences https://www.ijrdes.com A V N CHANDRA SEKHAR 2 3 (May - June) 2020 05 May-June enInternet of Things (IoT)Railway SafetyFault DetectionSmart SensorsReal-Time MonitoringPredictive Maintenance Railway transportation plays a vital role in public and goods movement but accidents caused by track faults remain a major safety concern This paper presents an Internet of Things IoTbased Railway Track Fault Detection System designed to monitor and identify track irregularities in real time The proposed system uses smart sensors such as vibration ultrasonic and temperature sensors to detect cracks misalignments or other structural defects on the railway track The collected data is transmitted through wireless communication modules to a cloudbased platform for continuous monitoring and analysis When a fault is detected the system immediately alerts maintenance authorities via mobile or web notifications enabling timely inspection and repair The integration of IoT technology ensures high accuracy low maintenance and scalability reducing manual inspection efforts and minimizing the risk of accidents Experimental results demonstrate that the proposed system provides an efficient costeffective and reliable solution for enhancing railway safety and operational efficiency Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved. 2020 All Rights Reserved