Autonomous Search and Rescue Drone

Authors

  • Zahra Elashaal Faculty of Information Technology, University of Tripoli. https://orcid.org/0009-0007-1600-4443
  • Yousef Lamin Faculty of Information Technology, University of Tripoli https://orcid.org/0009-0009-2443-937X
  • Mohaned Elfandi Faculty of Information Technology, University of Tripoli
  • Adel Eluheshi School of Applied Sciences and Engineering, Libyan Academy for Postgraduate Studies.

Keywords:

Drone, Unmanned aerial vehicles (UAVs), Search and Rescue Op- erations, Pixhawk, Raspberry Pi, YOLOv4 detection algorithm.

Abstract

One innovative initiative that shows how technology and creativity can save lives in dire circumstances is the creation of a smart autonomous drone system for search and rescue operations in Libya. The autonomous search and rescue drone is a ray of hope that is intended to transform rescue operations by offering a quick and effective way to find persons who are in trouble or who may have been lost in Libya's desert or Mediterranean Sea. A Raspberry Pi, a Pixhawk flying controller, the Internet of Things, and a specially created mobile application are the main parts of the study. With the help of the YOLOv4-tiny module and object detection algorithms, the system enables users to operate the drone and quickly and accurately identify those who go missing in challenging environments. By fusing technological innovation with a humanitarian goal, this paper paves the way for future search and rescue operations in Libya and other nations to be safer and more responsive. The work shows how technology can save lives in dire circumstances and serves as an example of how it can benefit humanity at its most vulnerable times.

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Published

2024-06-30

How to Cite

[1]
Z. Elashaal, Y. Lamin, M. Elfandi, and A. Eluheshi, “Autonomous Search and Rescue Drone”, LJI, vol. 1, no. 01, pp. 1–17, Jun. 2024.
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