The Need for Utilizing AI in Locating Trapped Victims Following Earthquakes and Floods

The present article delves into the necessity of employing artificial intelligence (AI) in locating individuals trapped during natural disasters such as earthquakes and floods. By utilizing unmanned equipment for reconnaissance and support tasks during search and rescue missions, lives can be saved, and the process expedited. Natural disasters have resulted in significant financial losses and loss of human lives, making it imperative to develop efficient and effective methods for rescue operations. The article emphasizes the benefits of using Trapped Victims Location (TVL) systems, including improved response times, increased accuracy, enhanced situational awareness, and improved safety for first responders. Furthermore, the article discusses the current TVL technologies available, such as visual cameras, acoustic sensors, thermal imaging cameras, radar sensors, GPRS, Cellular receivers, and more. The article also highlights the operational gaps within first responders' systems for locating trapped victims and discusses the specific operational needs for various scenarios. This work serves as a basis for further scientific and engineering projects that can overcome existing gaps and enhance the operational process of locating victims during emergencies, significantly improving accuracy and the likelihood of locating live individuals while expediting the entire procedure.