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Smart Railway Track Monitoring for Real-Time Crack Detection Using GSM and GPS
Subject area: Science,Engineering and Technology · Area of research: Product Development
Abstract
Railway track safety is a critical concern for preventing accidents and ensuring smooth train operations. This project presents a robot-based crack detection system that autonomously detects cracks and obstacles on railway tracks and communicates the information to authorities in real time using GSM and GPS technology. The system employs a microcontroller-based robotic platform equipped with crack sensors for detecting surface discontinuities, IR sensors for obstacle detection, a GPS module for precise location tracking, and a GSM module for sending instant alerts. The robot navigates along the track using motor drivers and DC motors, and detected cracks are displayed on an onboard LCD. Experimental testing demonstrates that the system can effectively identify cracks of various sizes and accurately transmit the location data, enabling prompt maintenance actions. The proposed system enhances railway safety, reduces human inspection efforts, and provides a reliable, real-time monitoring solution.
Keywords
Railway Track Monitoring Crack Detection, GSM And GPS Communication, Robotic Inspection System, Microcontroller-Based Automation
References
[1] Henrique Oliveira and Paulo Lobato Correia, “Automatic Road Crack Detection and Characterization,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. pp. 155–168, March 2013.
[2] P. Lad and M. Pawar, “Evolution of Railway Track Crack Detection System,” 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA), 2016.
[3] Rijoy Paul, Nima Varghese, Unni Menon, and Shyam Krishna, “Railway Track Crack Detection,” International Journal of Advanced Research and Development, vol. 3, issue 3, 2018.
[4] Rizvi Aliza Raza, Khan Pervez Rauf, and Ahmad Shafeeq, “Crack Detection Railway Track Using Image Processing,” International Journal of Advanced Research, Ideas and Innovations in Technology, vol. 3, issue 4, 2017.
[5] Anand S. Muley, Siddhant B. Patil, and A.H. Shelar, “Railway Track Crack Detection Based on GSM Technique,” International Research Journal of Engineering and Technology (IRJET), vol. 4, issue 1, Jan. 2017.
How to cite this paper
@article{1712636,
author = {Naveen Kumar, H R Patil, Praveen Bhajantri, Mantesh Balloli, Sohailkhan Pathan},
title = {Smart Railway Track Monitoring for Real-Time Crack Detection Using GSM and GPS},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {6},
pages = {409-413},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712636.pdf},
abstract = {Railway track safety is a critical concern for preventing accidents and ensuring smooth train operations. This project presents a robot-based crack detection system that autonomously detects cracks and obstacles on railway tracks and communicates the information to authorities in real time using GSM and GPS technology. The system employs a microcontroller-based robotic platform equipped with crack sensors for detecting surface discontinuities, IR sensors for obstacle detection, a GPS module for precise location tracking, and a GSM module for sending instant alerts. The robot navigates along the track using motor drivers and DC motors, and detected cracks are displayed on an onboard LCD. Experimental testing demonstrates that the system can effectively identify cracks of various sizes and accurately transmit the location data, enabling prompt maintenance actions. The proposed system enhances railway safety, reduces human inspection efforts, and provides a reliable, real-time monitoring solution.},
keywords = {Railway Track Monitoring Crack Detection, GSM And GPS Communication, Robotic Inspection System, Microcontroller-Based Automation},
month = {December},
doi = {https://doi.org/10.64388/IREV9I6-1712636}
}