Real-Time Railway Track Crack and Obstacle Detection System using Arduino and IoT Alert

Authors

  • Yukta P Gosavi Students of Diploma in Electrical Engineering, MET BKC IOT-Polytechnic, Maharashtra, India Author
  • Aditi J Khalkar Students of Diploma in Electrical Engineering, MET BKC IOT-Polytechnic, Maharashtra, India Author
  • Dipali A Jagatap Students of Diploma in Electrical Engineering, MET BKC IOT-Polytechnic, Maharashtra, India Author
  • Kalyani Y Mahajan Students of Diploma in Electrical Engineering, MET BKC IOT-Polytechnic, Maharashtra, India Author
  • Nitin D. Sonawane Lecturer in Diploma in Electrical Engineering, MET BKC IOT-Polytechnic, Maharashtra, India Author

Keywords:

Railway track crack detection, obstacle detection, Arduino, IoT, real-time monitoring, safety

Abstract

The safety and efficiency of railway operations rely heavily on the condition of the tracks. Cracks and obstacles on the tracks can lead to catastrophic consequences, including derailments and loss of life. This paper presents a real-time railway track crack and obstacle detection system using Arduino and IoT alert. The proposed system utilizes a combination of sensors, including ultrasonic and infrared sensors, to detect cracks and obstacles on the tracks. The sensor data is transmitted to an Arduino board, which processes the data and sends alerts to railway authorities via IoT protocols. The system is designed to provide real-time monitoring and alert capabilities, enabling prompt action to be taken to prevent accidents. The proposed system has been tested and validated, demonstrating its effectiveness in detecting cracks and obstacles on railway tracks.

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References

Federal Railroad Administration, "Railroad Safety Statistics," 2020.

National Transportation Safety Board, "Railroad Accident Report," 2020.

J. Liu, "Railway track maintenance: A review of the current state of the art," Journal of Transportation Engineering, vol. 143, no. 10, pp. 04017062, Oct. 2017.

S. Singh, A. K. Singh, and R. K. Singh, "Ultrasonic sensor-based crack detection system for railway tracks," IEEE Sensors Journal, vol. 17, no. 10, pp. 3131-3138, May 2017.

P. Kumar, S. K. Singh, and R. K. Singh, "Infrared sensor-based obstacle detection system for railway tracks," IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 5, pp. 1515-1524, May 2018.

Z. Li, J. Liu, and C. Liu, "IoT-based railway track monitoring system using sensors and wireless communication technologies," IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1732-1741, Jun. 2018.

Y. Zhang, J. Liu, and C. Liu, "Machine learning-based crack detection system for railway tracks using sensors and machine learning algorithms," IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 10, pp. 2511-2520, Oct. 2018.

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Published

24-03-2025

Issue

Section

Research Articles

How to Cite

[1]
Yukta P Gosavi, Aditi J Khalkar, Dipali A Jagatap, Kalyani Y Mahajan, and Nitin D. Sonawane, “Real-Time Railway Track Crack and Obstacle Detection System using Arduino and IoT Alert”, Int J Sci Res Sci Eng Technol, vol. 12, no. 2, pp. 447–451, Mar. 2025, Accessed: Mar. 26, 2025. [Online]. Available: https://ijsrset.com/index.php/home/article/view/IJSRSET25122153

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