Autonomous Enemy Detection And Real Time Surveillance Rover For Defense

Abstract: This research presents an autonomous surveillance rover for defense applications designed to enhance real-time enemy detection and situational awareness. The system is powered by a Raspberry Pi, enabling centralized control and processing of data from various sensors. Ultrasonic sensors ensure obstacle detection, while inductive proximity sensors identify landmines and explosive devices. A camera module provides real-time video streaming, which is analyzed using image processing algorithms to classify individuals as authorized or threats. When a threat is identified, the system triggers a laser module to simulate a defensive response. The rover autonomously navigates its environment, continuously scanning for hazards and relaying real-time alerts to defense personnel via a communication module. This integration of IoT, artificial intelligence, and robotics makes the rover a reliable and efficient solution for modern defense challenges. The project highlights its potential to enhance security, reduce human risks, and adapt to evolving operational demands.

Keywords: Autonomous surveillance, enemy detection, real-time monitoring, Raspberry Pi, obstacle detection, image processing, IoT, defense robotics.