Advanced IoT and Machine Learning Solutions for Railway Safety

Railway Track Tracer technology for Crack Detection is a technology that detects cracks in railway tracks using machine learning. This method will assist to prevent numerous rail accidents. This device frequently checks the railway tracks with a camera to detect cracks and take appropriate precautions to prevent accidents. The Internet of Things is the most studied field, and its possibilities are limitless. The Internet of Things (IoT) isused to provide up-to-date information on railway administration. In this mode, an infrared sensor is utilized to determine the availability of the platform. This technology is used to update the platform availability for the approaching train in order to prevent accidents.Fire is detected using fire sensors and automatic engine detachment at the times of fire attack after alerting. In this project, this paper proposes the train track security and monitoring application. In which rails are monitored, i.e. train tracks, with an automated robot that pass through this track, detecting and inspecting the track status such as curves and damages and where the bot is controlled remotely , so the data is received via an android app, allowing us to monitor the track in real time with track fault detection. So, with this information, we can avoid problems such as accidents and train delays caused by poor tracks.