Augmented Reality Based Thermal Drones for Victim Detection

Azin Karimzadanzabi, Afshin Jamshidi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper aims to introduce a novel approach to improve the detection efficacy of human hidden by debris with the help of new technologies such as unmanned aerial vehicles, augmented reality, and thermal photography. A thermal camera mounted upon a drone is used to gather images of the damaged area quickly. After heat signature detection of a buried body, the detected suspicious location sends out to the real-time virtual reality system and help the rescue team to locate the victims and their position quickly. It is also proved that thermography is a non-invasive method that can provide valuable information about body health, especially pain and inflammation. The increased warm in the thermogram may indicate that some health issues exist, such as inflammation, injury, bone fracture, etc. The results show that this new approach enhances the efficacy of rescue in terms of time and human locating, and semi- precise location of injured body organisim.
Original languageEnglish
Title of host publicationFirst EAGE Workshop on Unmanned Aerial Vehicles
PublisherEuropean Association of Engineers and Geoscientists (EAGE)
Pages1-3
Number of pages3
DOIs
Publication statusPublished - 29 Dec 2019
Event1st EAGE Workshop on Unmanned Aerial Vehicles 2019 - Toulouse, France
Duration: 2 Dec 20194 Dec 2019
Conference number: 1

Workshop

Workshop1st EAGE Workshop on Unmanned Aerial Vehicles 2019
CountryFrance
CityToulouse
Period2/12/194/12/19

Keywords

  • Deep learning (DL)
  • Image processing
  • Drone images

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