Development of Drone-Based Human Rescue Strategies Using Virtual Reality

Ali Salim  Rasheed; Alaa Hamza  Omran; Yaser M.  Abid

doi:10.24996/ijs.2024.65.6.45

Authors

Ali Salim Rasheed University of Information Technology and Communications, Baghdad, Iraq https://orcid.org/0000-0002-9564-7557
Alaa Hamza Omran University of Information Technology and Communications, Baghdad, Iraq https://orcid.org/0000-0001-9094-3755
Yaser M. Abid University of Information Technology and Communications, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2024.65.6.45

Keywords:

An unmanned aerial vehicle, Skin detection, Head-Mounted Display, PYTHON, Open CV

Abstract

Despite the enormity of the tragedy, many cases can be saved in record time after accessing them and direct intervention. However, rescue teams may find intervention impossible or dangerous, mainly when major explosions or fires occur. After a disaster, commercial drones can be used to detect and search for survivors. They are controlled by iOS-installed Head Mounted Display (HMD) and virtual reality applications. This enables them to reach disaster areas, detect the presence of injured people, and pinpoint their locations. In this research, Artificial intelligence technologies, as represented by (Open CV Documentation) using PYTHON Code, are combined with Drone engineering capabilities to present robust virtual reality applications. The results demonstrated high accuracy in detecting the injured in the disaster area, complete immersion of the observer in the safe zone by default, and controlling the drone through HMD.