AI-Based UAV Navigation Using IoT

This project presents an AI-driven Unmanned Aerial Vehicle (UAV) system for autonomous aerial surveillance and real-time threat monitoring. It utilizes an IoT-enabled PIR sensor network to trigger immediate deployment. The UAV performs autonomous navigation and a 360-degree visual scan, employing the YOLOv8 model for real-time motion intelligence and intruder identification. A core innovation is the precision autonomous landing mechanism using ArUco markers for "nudge-based" alignment onto a self-centering, automated charging station, ensuring continuous operational readiness without manual intervention. This research provides a robust solution by integrating computer vision, flight control algorithms, and low-latency communication for automated site monitoring.