• Saurabh Srivastav
• Deepak Dubey
• Durgesh Kushwaha
• Jyoti Paswan

The Railway Track Crack Detection System 2.0 is designed to improve railway safety by automatically identifying cracks or faults in railway tracks. The system uses sensors and a microcontroller to continuously monitor the condition of the rails. When a crack or discontinuity is detected, the system immediately sends an alert to railway authorities along with the exact location using GPS and wireless communication. Unlike traditional manual inspection methods, this automated system provides faster and more reliable detection of rail track defects. The proposed system can be highly useful for railway maintenance teams, engineers, and researchers working in the fields of embedded systems, robotics, and IoT technologies. By integrating components such as sensors, microcontrollers, GPS modules, and wireless communication modules, the system allows users to gain practical knowledge of real-time monitoring and automation technologies. It also demonstrates how modern technology can be applied to improve safety and efficiency in railway infrastructure. In addition, the Railway Track Crack Detection System can be further enhanced with advanced features such as camera-based monitoring, artificial intelligence for crack analysis, and cloud-based data storage for predictive maintenance. The system is cost-effective and flexible, making it suitable for large-scale railway networks. Overall, this project highlights the importance of automated monitoring systems in preventing railway accidents and ensuring safe transportation.

Railway Safety, Crack Detection, Embedded Systems, GPS Tracking, Wireless Communication

"Railway Track Crack Detection System 2.0", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.c728-c730, March-2026, Available :http://www.jetir.org/papers/JETIR2603293.pdf

"Railway Track Crack Detection System 2.0", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. ppc728-c730, March-2026, Available at : http://www.jetir.org/papers/JETIR2603293.pdf