Abstract: This project aims to develop an integrated intelligent safety system for railways that can detect fire hazards and prevent train collisions using modern technologies like LabVIEW and IoT. The system uses temperature and smoke sensors connected to LabVIEW for real-time fire detection and alert generation.
Simultaneously, an IoT-based collision avoidance module employs ultrasonic and GPS sensors to detect nearby trains or obstacles and transmit warnings to a central control unit. By combining both systems, the project enhances railway safety, automation, and accident prevention, reducing human error and ensuring-quicker-responses-to emergencies.
Keywords: Collision avoidance, Internet of things (IOT), Automation, Real-Time Monitoring, Temperature Sensor, GPS Module, Ultrasonic Sensor, Smoke Sensor, Alert System, Smart railway, Accident Prevention, LABVIEW
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DOI:
10.17148/IJARCCE.2025.141198
[1] Dr. Srinivas Babu P, Chandana S H, Namitha G H, Navya K, "Integrated Intelligent Railway Safety System: Fire Detection and Collison Avoidance Using IOT," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141198
