IoT-Enabled Smart Guard System For Rail Safety With Automated Crack Detection
DOI:
https://doi.org/10.63665/d3ne5n94Keywords:
Railway Track Crack Detection, Infrared (IR) Sensors, Microcontroller, Global Positioning System (GPS), Global System for Mobile Communications (GSM), Cloud Computing, Real-Time Monitoring, Predictive Maintenance, Railway Safety, Internet of Things (IoT)Abstract
In the modern era of transportation using ordinary vision to detect cracks in track puts passengers in danger because these problems must go unnoticed for accidents to happen. To improve track evaluation our system employs infrared sensors combined with microcontrollers GSM, GPS and cloud computing for monitoring railway tracks in real time. IR sensors mounted along the tracks scan for damaged areas without human intervention including tiny unnoticeable fractures. The microcontroller analyses the crack data and sends alerts using a GSM module to both local railway stations and maintenance teams. The system sends precise GPS data about the crack’s location along with its severity to help repair teams respond faster. The cloud-based system stores track condition data securely, enabling maintenance teams to plan future maintenance and monitor track status over time. When repairs are not completed within the required 48-hour period, the system activates a secondary alert mechanism to notify higher authorities, ensuring timely action to prevent train accidents. The system enhances railway safety by detecting track cracks at an early stage, reducing risks and minimizing maintenance costs while improving overall repair efficiency.
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