Research Article
Design and Research of Forest Farm Fire Drone Monitoring System Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-031-04245-4_19, author={Shaoxiong Zheng and Weixing Wang and Zeqian Liu}, title={Design and Research of Forest Farm Fire Drone Monitoring System Based on Deep Learning}, proceedings={6GN for Future Wireless Networks. 4th EAI International Conference, 6GN 2021, Huizhou, China, October 30--31, 2021, Proceedings}, proceedings_a={6GN}, year={2022}, month={5}, keywords={Deep learning algorithm Drone Forest farm Fire insurance}, doi={10.1007/978-3-031-04245-4_19} }- Shaoxiong Zheng
Weixing Wang
Zeqian Liu
Year: 2022
Design and Research of Forest Farm Fire Drone Monitoring System Based on Deep Learning
6GN
Springer
DOI: 10.1007/978-3-031-04245-4_19
Abstract
In this work, we present a forest fire monitoring system using drones and deep learning. The proposed technique aims to solve the problems of traditional forest fire monitoring techniques, such as blind spots, poor real-time performance, expensive operational costs, and large resource consumption. We use image processing techniques to determine if the frame re-turned by the drone contains fire. This process is accomplished in real time and the resultant information is used to decide if any rescue operation is needed. The method proposed in this work has simple operations, high operating efficiency, and low operating costs. In addition, the proposed technique provides digital ability to monitor the forest fires in real-time effectively. Thus, it can assist in avoiding disasters and greatly reduce labor costs and other costs for forest fire disaster prevention and suppression.
