Published Paper Details:

The advancement of autonomous systems has significantly enhanced modern defence technology, enabling safer and more efficient military operations. This project focuses on the design and implementation of an Unmanned Ground Vehicle (UGV) that can operate autonomously in defence and surveillance environments. The proposed system utilizes a Raspberry Pi 3 Model B+ as the central processing unit, integrating ultrasonic sensors, motor drivers, and a Pi camera to achieve real-time environmental monitoring and obstacle detection. Through the implementation of computer vision and image processing techniques using OpenCV, the UGV is capable of identifying paths, avoiding obstacles, and navigating autonomously in dynamic environments. The system also allows for live video streaming, making it suitable for border surveillance, reconnaissance missions, and hazardous area monitoring where human access is limited or risky. Furthermore, the proposed UGV architecture emphasizes modularity and ease of expansion, allowing additional sensors such as GPS, infrared, gas sensors, or weapon detection modules to be integrated in future enhancements. This work lays a strong foundation for further research into advanced artificial intelligence algorithms, swarm robotics, and secure communication systems, contributing toward the development of next-generation autonomous ground systems for defence and security applications.