Smart Drone Networks: Revolutionizing Search and Rescue Operations With Machine Learning and Modular Design

Abstract

Natural disasters such as earthquakes, floods, and wildfires set up significant challenges to search and rescue (SAR) operations. In these critical situations, the ability to locate and provide aid to trapped people is often prevented by environmental obstacles, limited accessibility, and the inefficiency of conventional rescue methods (Yilmaz & Demiröz Yildirim, 2020). This delay can turn out to be a disadvantage in the provision of services where SAR teams take time assessing the affected areas, identifying victims, and delivering care. This primarily leads to delayed responses and increased fatalities (Piatt, 2024) (Administrator, 2024).