Underground railway tunnels and ghat sections face severe safety challenges from communication blackouts, zero visibility, and unreliable manual signaling, leading to collision risks and operational delays.​ This project develops an automated train detection system using Arduino UNO, leveraging Bernoulli's principle for pressure-based detection combined with ultrasonic sensing.​ The prototype provides real-time monitoring and signaling to enhance safety in communication-dead zones.

This coursework explores the integration of IoT technologies into railway signal systems to enhance safety and efficiency. It covers the project's objectives, the role of IoT in addressing existing challenges, and development details involving Bernoulli’s principle, sensor usage, and Arduino UNO integration. Experimental results demonstrate successful automated signaling and reduced errors, highlighting the system's real-world scalability. The conclusion discusses the advantages, potential...