Military Uniform Identification for Search And Rescue (SAR) through Machine Learning

Abstract

Object classification is a rapidly growing topic that is proving to serve many uses in both civilian and military professions. With continued development in this field, the Army and its units can accomplish tasks in more safe and efficient manners as unmanned drones and other technologies can carry out missions that have not been possible in the past. The purpose of this project is to develop a classifier model that can autonomously identify and track personnel during search and rescue (SAR) missions. The implementation of this technology would potentially improve the efficiency and reduce the risk of SAR missions in the Army by allowing soldiers to send out dispensable robots instead of risking indispensable lives.