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 language | English |
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Title of host publication | First EAGE Workshop on Unmanned Aerial Vehicles |
Publisher | European Association of Engineers and Geoscientists (EAGE) |
Pages | 1-3 |
Number of pages | 3 |
DOIs | |
Publication status | Published - 29 Dec 2019 |
Event | 1st EAGE Workshop on Unmanned Aerial Vehicles 2019 - Toulouse, France Duration: 2 Dec 2019 → 4 Dec 2019 Conference number: 1 |
Workshop
Workshop | 1st EAGE Workshop on Unmanned Aerial Vehicles 2019 |
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Country/Territory | France |
City | Toulouse |
Period | 2/12/19 → 4/12/19 |
Keywords
- Deep learning (DL)
- Image processing
- Drone images