Publication

Abstract : In modern military operations, timely and effective medical evacuation is crucial for reducing soldier casualties and enhancing combat effectiveness. This research presents an investigation into the use of Unmanned Aerial Vehicles (UAVs) and Droids as innovative solutions for battlefield casualty evacuation. The study explores the potential of UAVs and Droids in swiftly and accurately evacuating injured soldiers from the battlefield, providing enhanced medical care, thereby reducing casualties. By leveraging these unmanned systems, this research aims to optimize the response time and medical care quality in combat scenarios. This study has conducted a detailed assessment of the technology and potential challenges, considering various battlefield conditions and scenarios. The accuracy obtained for this study was 81.81%, achieved through a Deep Learning model based on the MobileNetV2 architecture, a powerful Convolutional Neural Network (CNN) pre-trained on ImageNet. The results of this investigation promise to significantly impact the efficiency and safety of military medical evacuation, ultimately improving the survival rates and well-being of soldiers in the heat of battle.