Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 12, July 2022

Performance and Efficiency Assessment of Drone in Search and Rescue Operation


Tauheed Khan Mohd, Vuong Nguyen, Trang Hoang, P. M. Zeyede and Beamlak Abdisa, Augustana College, USA


With the development of technology, human beings have successfully predicted and prevented the damage caused by natural disasters. However, due to climate change, society has witnessed the rising actions of forest fire, earthquake, tsunami, etc., and there are many which people cannot prevent, and the level of dangerous situations are increasing rapidly for the Search and Rescue (SAR) operation. Not to mention, more and more people are turning their attention and hobbies to exploring wilderness where they might get lost or, worse, get injured. For that reason, to raise the chance of survival for the victims and reduce the risk for the search team, the use of Unmanned aerial vehicles (UAV) has been proposed. The plan is the headquarters will deploy a fleet of drones to get into the areas where human cannot enter easily and then report the situations as well as the condition of the victims with images and videos. In most research papers, it seems very promising; however, there is still much work that needs to be done. In this paper, some of the features which included for future researches are which algorithm is the most optimal, what standard structure should be used for the drones so it can complete the missions under any kind of circumstances, and how to set up a communication line that guaranty the effective to reduce the level of miscommunication.


UAV, AI, drone, search, rescue, efficiency.