Human Detection Techniques for Search and Rescue of Trapped Victims Under Debris: A Review

Authors

  • Dr. Arif Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, MALAYSIA
  • Sajjad Ahmed Quaid-e-Awam University of Engineering, Science and Technology (QUEST) Nawabshah, PAKISTAN
  • Norshidah Katiran Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, MALAYSIA
  • Muhammad Suhaimi Sulong Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Johor, MALAYSIA

Keywords:

Radar, Robotics, Drone, Gas sensor, Optical, Acoustic/Seismic, Infrared, Natural calamities, Life Detection, Victims, Search and Rescue

Abstract

This study presents a comparative review study on human life-detection techniques for search and rescue of trapped victims under debris. Natural calamities are increasingly common as climate change becomes more serious. Search and rescue missions become more and more important to humanity worldwide. Often, time is a crucial factor for an optimistic result of search and rescue operations. The existing life-detection techniques include Radar life detection, Robotics life detection, Drone life detection, Gas sensor life detection, Optical life detection, Acoustic/Seismic life detection, and Infrared life detection. Furthermore, analyzing of advantages and disadvantages of the different types of life detection techniques and the development direction of life detection techniques is presented in this review. At present, there is a need for advanced human life-detection systems which can aid rescue operations, improving at the same time accuracy and speed of localization within a short span of time.

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Published

07-06-2022

How to Cite

Joret, A. ., Ahmed, S., Katiran, N. ., & Sulong, M. S. . (2022). Human Detection Techniques for Search and Rescue of Trapped Victims Under Debris: A Review. Evolution of Information, Communication and Computing System, 3(1), 54-65. https://publisher.uthm.edu.my/bookseries/index.php/eiccs/article/view/34