Generative AI in Autonomous UAV Systems: Revolutionizing Surveillance and Rescue Missions

Defense and disaster management requires more advanced and efficient technological solutions for rapid responses. This research work introduces a leading-edge technique that integrates Enhanced Super Resolution Generative Adversarial Network (ESRGAN) and Yolo Only Look Once Version 11 (YOLOv11) for the autonomous drone. This approach marks a significant advancement in aerial monitoring of the environment by increased surveillance capabilities and reduced reaction time improving the overall efficiency. The proposed Artificial Intelligence (AI) model can be added to Unmanned Aerial Vehicles (UAV) which has predefined paths and is autonomous to reduce human interventions in defense and disaster relief operations. Beyond technical implementation, real-world applications, limitations and challenges of the proposed methodology is also discussed.