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Automatic Smoke/Forest Fire Detecting System based on Visual IoT
Author(s)
Tungpimolrut, Kanokvate
Karnjana, Jessada
Chatpoj, Montri
Kitbutrawat, Nathavuth
Murata, Ken T.
Date Issued
January 1, 2025
Type
Conference Paper
Abstract
In this paper, a visual IoT system or IP camera system for early detection of smoke/forest fire has been investigated. The overall system implementation including hardware and software as well as system installation in targeted areas in Chiangmai, Thailand have been also described. The dataset construction, the preliminary model development and testing have been conducted based on YOLOv5. The model improvement based on Fast Segment Anything Model with YOLOv11 has been proposed to improve False Positive. The results show good performance of Mean Square Error.
Citation
Proceedings 2025 11th International Conference on Computing and Artificial Intelligence Iccai 2025, 544-548, 2025