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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM12721
Volume:
6 |
5 |
May 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the event of a fire, the main concern of first responders and firefighters is to rescue people trapped in the burning area. We suggest a way to identify people trapped in tropical areas, in a way that will ensure the safety of firefighters and speed up the rescue process. The proposed method suggests the use of Infrared (IR) cameras to capture hot images in a burning environment as they may not be distorted by smoke. Deep learning technique using CNN and YOLO would be applied on thermal images to detect humans and animals in smoke and fire situations.
KEYWORDS
Publication Date
3/4/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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