Abstract This abstract introduces an innovative Internet of Things (IoT)-based Railway Track Fault Detection System (RTFDS) focused on enhancing railway safety and efficiency. Leveraging a network of sensors, including acoustic and ultrasonic devices, the system continuously monitors crucial parameters along railway tracks. Real-time data analysis, powered by advanced algorithms and machine learning, enables early detection of anomalies signaling potential track faults. With seamless connectivity facilitated by IoT technologies, the RTFDS promotes a proactive approach to fault detection, contributing to improved safety, reliability, and operational efficiency in the railway industry. This system addresses the needs of operators, maintenance teams, and regulatory authorities, aligning with the modernization goals of railway infrastructure.
Keywords Microcontroller, Sensors, IOT, Circuitry
Cite:
Mr. Shahaji Sutar, Monika Dudhal, Ankita Kamble, Sahil Arbune, Sahil Gaikar, "IOT Based Railway Track Fault Detection System", IJIREEICE International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 12, no. 2, 2024, Crossref https://doi.org/: 10.17148/IJIREEICE.2024.12204.
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