Deep Learning Based Temperature Sensor Data and Wildfire Propagation Prediction in Duty Cycled Wireless Sensor Network

Yun, Wan-Kyu; Song, Yoojin; Moon, Ji-Sun; Jang, Sung-Jeen; Yoo, Sang-Keun

doi:10.7840/kics.2019.44.6.1092

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“…있는 실정이다 (Yun et al, 2019;Chung et al, 2020). 또한 이동수단의 접근이 어렵거나 영상을 통해 발생 위치를 파악 하기 어려운 경우가 많아 인력에 의존한 감시 방법에는 한계가 있다 (Kwak et al, 2021).…”

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Position Estimation of Forest Fires using an Infrared Camera Based on Pan Tilt Servo

Ryu¹,

Kwak²,

Choi³

2022

J. Korean Soc. Hazard Mitig

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Forest fires are often enlarged over extended periods of time, but if they are detected through image-based real-time monitoring, this would shorten the response time of fire fighters, thereby preventing great damage. When a forest fire occurs, it is often difficult to access the area and to accurately identify the location of its occurrence through monitoring images only. To overcome these problems, this paper proposes a method of detecting forest fires using infrared cameras and estimating the location of the forest fire by applying the space forward intersection method. Additionally, practicality verification was conducted through an outdoor ignition experiment, and the measurement accuracy of distance was compared.

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