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@article{178203,
        author = {Prema C and Sudheesh V and Sanjay N and Sanjeev S and Surandher L},
        title = {Battlefield Rover for Real-Time Detection and Alerting of Concealed Land Mines},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4028-4035},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178203},
        abstract = {The increasing threat of concealed land mines in conflict zones presents a persistent danger to both military personnel and civilians. This project introduces a low-cost, semi-autonomous battlefield rover designed for the real-time detection and alerting of concealed land mines using a multi-sensor fusion approach. The system integrates a Raspberry Pi Pico microcontroller with a range of onboard sensors including a metal detector, magnetometer, ultrasonic sensor, MLX90614 infrared temperature sensor, MQ2 gas sensor, and GPS module to accurately sense environmental anomalies indicative of buried explosive devices.
To ensure precise navigation and path planning, the rover is controlled through an L298 motor driver, while positional data is relayed to a mobile application for remote monitoring and alerting. A camera module, in combination with an ESP32, enables real-time video streaming and wireless communication, adding an additional layer of situational awareness. Detection alerts and sensor outputs are displayed on an LCD interface, providing immediate feedback to the user. The ultrasonic sensor assists in obstacle detection, ensuring smooth rover movement, while the GPS module tags the exact coordinates of suspected mines for later disposal.
This system offers a cost-effective and scalable solution for minefield reconnaissance with potential extensions into other hazardous detection scenarios. The incorporation of live video feed, GPS-based tagging, and sensor fusion significantly enhances both the accuracy and safety of mine detection operations.},
        keywords = {Land mine detection, Semi-autonomous rover, Multi-sensor fusion, Raspberry Pi Pico, ESP32 camera, GPS tracking, Infrared sensor, Metal detector, Obstacle avoidance, Real-time monitoring},
        month = {May},
        }