Early Fire Detection System by Using Automatic Synthetic Dataset Generation Model Based on Digital Twins

Fire is amorphous and occurs differently depending on the space, environment, and material of the fire. In particular, the early detection of fires is a very important task in preventing large-scale accidents; however, there are currently almost no learnable early fire datasets for machine learning....

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Hyeon-Cheol Kim, Hoang-Khanh Lam, Suk-Hwan Lee, Soo-Yol Ok
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Subjects:	digital twin smart city particle system synthetic learning data early fire detection object detection
Online Access:	https://www.mdpi.com/2076-3417/14/5/1801