Buried explosive mines continue to claim the lives of non-combatants well after armed hostilities have ceased, casting a long and tragic shadow over post-conflict societies. This paper presents the systematic design and functional validation of an intelligent, remotely operable landmine detection rover — an embedded robotic platform conceived to overcome the persistent shortcomings of conventional humanitarian demining methods. The system employs a coordinated array of sensors, an adaptive navigation framework, and a mechanically durable mobile chassis to manoeuvre across hazardous ground, reliably pinpoint buried metallic explosive devices while curtailing spurious detections, and accurately capture the geographic coordinates of each identified threat to support organized and safe neutralization. The overarching goal of this work is to establish a mine-clearance methodology that demonstrably outperforms traditional manual approaches in terms of personnel safety, operational throughput, detection fidelity, and cost efficiency
Introduction
Landmines pose a severe humanitarian crisis, causing fatalities, injuries, economic damage, and restricted access to essential services. Traditional manual demining is dangerous, slow, and costly, unable to keep pace with new mine deployments. To address this, the study proposes an autonomous landmine detection rover that uses robotics, sensors, GPS, GSM, and intelligent software to improve safety, efficiency, accuracy, and cost-effectiveness.
The rover’s hardware includes an ESP32 microcontroller, ultrasonic sensors, a pulse induction metal detector, GPS and GSM modules, DC motors with L293D drivers, a servo for marking mines, and an LCD display. Its software integrates autonomous navigation algorithms (SLAM, path planning, obstacle avoidance), sensor monitoring, real-time communication via Bluetooth and Blynk, and dual operational modes (autonomous and remote-controlled). Upon detecting a potential landmine, it records GPS coordinates, alerts users, and marks the location.
Simulated tests demonstrated 85% detection accuracy, effective obstacle avoidance, and reliable GPS positioning (~3m error). Limitations included false alarms due to metallic clutter, local minima in navigation, GPS accuracy degradation in complex terrain, communication interruptions, and limited battery life (~2 hours). Despite these challenges, the rover shows promise as a cost-effective, safer, and faster alternative for humanitarian demining, highlighting areas for improvement in sensor fusion, navigation algorithms, communication, and power management.
Conclusion
The construction of an autonomous landmine detection rover is effectively shown in this study, highlighting its potential to transform humanitarian demining operations. A potential and secure substitute for conventional demining techniques is provided by the rover\'s integrated capabilities, which include autonomous navigation, metallic object identification, and real-time location data transfer. This technology\'s automation of the detection process not only lowers the risk to human workers but also improves the effectiveness of demining operations, allowing hazardous areas to be cleared more quickly and thoroughly. The ability to transmit information to the user wirelessly has been improved by the installation of a GSM module. The rover\'s controlling capability\'s range is further enhanced by the RF module implementation.
Looking ahead, the future scope of this project is vast and promising. To further enhance the rover\'s capabilities and address its current limitations, future work will concentrate on several key areas:
1) Enhanced Sensor Suite: By detecting buried items and non-metallic landmines, a Ground Penetrating Radar (GPR) sensor will enhance the rover\'s detection capabilities, increase detection accuracy and lower false alarms.
2) Advanced Navigation Algorithms: By putting more advanced navigation algorithms into practice, such Simultaneous Localization and Mapping (SLAM), the rover will be able to map its surroundings in real time and become increasingly adept at navigating challenging and unstructured terrain on its own.
3) Robust Platform Development: The rover will be able to endure severe environments and potential risks if a more robust and rugged rover platform is designed and built. This will guarantee improved longevity and reliability under demanding real-world situations.
4) Real-World Testing: To verify the rover\'s functionality, spot possible problems, and improve its design for maximum efficacy in actual demining operations, extensive field testing in real-world demining scenarios is essential.
The autonomous landmine detecting rover can develop into a very dependable and efficient instrument for humanitarian demining by following these future paths, which will ultimately make the world a safer and more secure place for landmine- affected populations. The future of safer, quicker, and more effective demining operations that save lives and return land to productive use depends on the ongoing advancement and improvement of this technology.
References
[1] Bombelli, A., Dal Santo, F., & Ducci, F. (2010). Thermal infrared imaging for landmine detection: A review. Infrared Physics & Technology, 53(6), 345- 353.
[2] Landmine Monitor Report. (2022). Landmine and Cluster Munition Monitor.
[3] Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach (3rd ed.). Pearson.
[4] T. Palaniappan ,V.Devaguru, Vidya P Janaki and Dr.R.Suresh Babu, “DTMF BASED MINE DETECTION ROVER”, International Journal of Advanced Research Trends in Engineering and Technology (IJARTET), Vol. 5, Special Issue 13, March 2018
[5] June Myint Mo Khin and Dr. Nyein Nyein Oo, “Real Time Vehicle Tracking System Using Arduino, GPS, GSM and Web-Based Technologies”, International Journal of Science and Engineering Applications, Volume 7–Issue 11,433-436, 2018
[6] UN Mine Action Service. (2023). Annual Report. R. Bansode, V. Shelke, R. Shirke, and A. C. Pise, \"IoT Based Landmine Detection Robot,\" International Journal of Innovative Research in Engineering and Technology, Vol. 03, No. 04, pp. 1–8, Jun.–Jul. 2023.
[7] B. S. Kumbhar, D. S. Kakade, and H. A. Madake, \"Autonomous Landmine Detection Rover,\" Journal of Engineering Design and Analysis, Vol. 5, No. 2, pp. 1–10, 2022.
[8] K. Mahesh Babu et al., \"Landmine Detection Robotic Vehicle with GPS Positioning Using STM32,\" in Advances in Microelectronics, Embedded Systems, and IoT — Lecture Notes in Electrical Engineering, Vol. 1156, Springer, Singapore, 2024, pp.
[9] A. Rguibi, A. Hajami, D. Zitouni, A. Qassimi, and H. Elbahja, \"Real-Time GPS Tracking System for IoT-Enabled Connected Vehicles,\" in Proc. E3S Web of Conferences, 2023.
[10] R. Kamalesh, R. Sairam, and G. M. Kaleasan, \"Landmine Detection Robot using ESP32 and Arduino Uno Microcontrollers,\" International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), 2024
[11] N. T. Morallo, \"Vehicle Tracker System Design Based on GSM and GPS Interface Using Arduino as Platform,\" Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), Vol. 23, No. 1, pp. 258–264, Jul. 2021.
[12] P. Mathurkar, A. Somkuwar, A. Thakre, and P. Wasnik, \"Vehicle Tracking System using GPS-GSM Accident Detection and Theft Security,\" International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), Vol. 16, Issue 1, DOI: 10.48175/IJARSCT-1527, Jun. 2021.
[13] J. Guerrero-Ibáñez, C. Flores-Cortés, and R. Buenrostro, \"Deep Learning-Based Real-Time Detection of Surface Landmines Using Optical Imaging,\" Remote Sensing, MDPI, Vol. 16, No. 4, Art. 677, Feb. 2024.
[14] V. Baby Shalini, \"Global Positioning System (GPS) and Internet of Things (IoT) Based Vehicle Tracking System,\" in Inventive Computation and Information Technologies — Proceedings of ICICIT 2021, Springer, 2022,
[15] R. M. Sahu, M. S. Sawant, K. S. Salve, and M. N. Nakade, \"Wireless Detection of Landmines Using GPS and GSM,\" International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), vol. 4, no. 6, pp. 56–60, Jun. 2016.