IoT-SafeRails: Revolutionizing Railway Collision Avoidance Technology

Railway inspections are predominantly reliant on manual efforts by railroad inspectors, resulting in prolonged processes and delayed collision information dissemination to railway authorities, potentially leading to disasters. To address this, the proposed system introduces an automated monitoring approach utilizing vision and vibration-based methods. The current manual monitoring is criticized for its sluggishness and subjective outcomes, dependent on an observer's ability to recognize critical situations. In response, this paper advocates for the implementation of an automatic visual inspection system for rails, incorporating Arduino microcontrollers and Internet of Things (Internet of Things) technology. This innovation aims to expedite inspections, enhance accuracy, and provide timely alerts, thereby significantly reducing the risk of railway collisions.