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International Journal of Science, Strategic Management and Technology

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ISSN: 3108-1762 (Online)
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RAILWAY TRACK MONITORING AND ALERT SYSTEM USING IOT & ESP32-CAM

AUTHORS:
K. Durga Sai Sravanthi
K. Ramu
K. Harish Babu
Lavanya .M
Mentor
T. Kranti Kiran, SK. Chan Basha
Affiliation
Dept. of EEE, Sir C R Reddy College of Engineering, Eluru, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

The safety of the railway tracks is of the utmost importance in the modern transport system because sometimes the cracks and structural defects cannot be noticed and, therefore, result in the most serious accidents. In this paper, an IoT-based Railway Track Monitoring and Alert System with the ESP32-CAM module to inspect and detect faults in real-time is presented. The offered system is based on a mobile robotic unit that has IR sensors on it to constantly check track conditions and identify cracks. When a fault is detected, the system halts the robot, takes real-time pictures with the ESP32-CAM, and sends notifications and GPS position to authorized personnel on a Telegram platform. There is also activation of a buzzer to give instant local alerts. The ESP32 microcontroller organizes sensor data processing, motor control and communication. The system provides a cost-efficient, automated and dependable service to track continuously the condition of railway tracks, minimizing manual inspections and enhancing the railway safety.

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Sravanthi, K. D. S., Ramu, K., Babu, K. H. & .M, L. (2026). Railway Track Monitoring and Alert System using IOT & ESP32-CAM. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.439

Sravanthi, K., et al.. "Railway Track Monitoring and Alert System using IOT & ESP32-CAM." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.439.

Sravanthi, K.,K. Ramu,K. Babu, and Lavanya .M. "Railway Track Monitoring and Alert System using IOT & ESP32-CAM." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.439.

References
[1] M. Revathi, S. Karthikeyan, and R. Pradeep, “IoT-Based Railway Track Crack Detection and Monitoring System,” International Journal of Advanced Research in Engineering and Technology, vol. 15, no. 2, pp. 45–52, 2024.

[2] P. Shalini and D. Gopalakrishnan, “Intelligent Railway Track Crack Detection Using IoT,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol. 9, no. 6, pp. 2345–2350, June 2021.

[3] C. Vijaya Sekhar Babu, K. Tejaswini, and M. Sai Kumar, “Visual Defect Detection in Railway Tracks Using IoT-Based Robot,” International Journal of Scientific Engineering and Management (IJSEM), vol. 8, no. 3, pp. 112–118, 2023.

[4] G. Chougule, P. Patil, and S. Jadhav, “IoT-Based Railway Track Crack Monitoring System Using NodeMCU,” International Journal of Scientific Research in Engineering and Management (IJSREM), vol. 8, no. 5, pp. 1–6, 2024.

[5] A. Nandanwar, S. Kulkarni, and R. Patil, “Automatic Railway Track Crack Detection Robot Using IoT,” International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), vol. 4, no. 6, pp. 1200–1205, 2022.

[6] S. Rajasekaran and P. Nagaraj, “Design of Smart Railway Track Monitoring System Using Embedded Systems,” in Proc. IEEE Int. Conf. on Communication and Signal Processing (ICCSP), pp. 1450–1454, 2022.

[7] A. Kumar and V. Singh, “Real-Time Railway Track Fault Detection Using Wireless Sensor Networks,” in Proc. IEEE Int. Conf. on Internet of Things (iThings), pp. 210–215, 2021.

[8] H. Sharma, R. Gupta, and S. Verma, “Railway Track Crack Detection System Using Ultrasonic Sensors and IoT,” IEEE Access, vol. 10, pp. 55678–55687, 2022.

[9] M. A. Khan, S. Rehman, and T. Ali, “Smart Railway Monitoring System Using ESP32 and Cloud Integration,” in Proc. IEEE Int. Conf. on Smart Systems and Inventive Technology (ICSSIT), pp. 980–985, 2023.

[10] J. Lee, B. Kim, and H. Park, “Vision-Based Railway Track Inspection System Using Deep Learning,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 1, pp. 1023–1032, Jan. 2023.
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✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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