Leveraging Artificial Intelligence and Internet of Things for Advanced Disaster Drone Technology

Disaster management involves critical decisions where precision and accuracy are vital. Our research focuses on using artificial intelligence (AI) and Internet-of-the-Things (IoT) based drones to enhance situational awareness in disaster-stricken areas. These drones, powered by advanced deep learning algorithms, provide real-time aerial imagery, detect signs of life under rubble, and operate effectively in adverse weather conditions, including heavy rain and flooding. Equipped with gas sensors, they ensure the safety of both rescuers and survivors by detecting harmful gases. Additionally, the drones facilitate communication with survivors and support coordination during rescue operations. Using COCO, Fire datasets, and the YOLO model, our method achieved results with a fire detection precision of 97.5 %, recall of 92.3%, and an Fl-score of 95.5%. This innovative approach aims to revolutionize disaster response by making operations more effective and safer for everyone involved.