Design of Forest Fire Warning System Based on Machine Vision
Forests are one of the most important natural resources in the world. It brings great economic value to people’s production and life. However, the occurrence of forest fires will burn plants and kill animals. Forest fires have even caused incalculable los
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School of Physics and Mechanical and Electronic Engineering, Hechi University, Yizhou, Hechi 546300, China [email protected] 2 School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545000, China
Abstract. Forests are one of the most important natural resources in the world. It brings great economic value to people’s production and life. However, the occurrence of forest fires will burn plants and kill animals. Forest fires have even caused incalculable losses. The article aims to study a forest fire prevention early warning image processing system based on machine vision. First, the foreground detection of moving targets is performed. Then use the mixed Gaussian model algorithm to determine whether there are moving objects in the video. Then track and identify the flames in the video. Then determine whether it is flame. Draw its outline and give an alarm to the supervision office when the result is fire. Then the early warning system waits for the relevant staff to deal with it. Finally, it summarizes the shortcomings of the design of a machine vision forest fire prevention early warning system in this paper and looks forward to the research prospects. Keywords: Machine vision
Early warning Flame tracking recognition
1 Introduction Forests are one of the most important natural resources in the world. Many plants will be burned and animals will be burned to death when a fire breaks out in the forest. Furthermore, forest fires will cause huge economic losses. Our territory is vast and contains many forest resources. Tens of thousands of fires occur each year, resulting in the loss of forest area accounting for about 5–8% of the total global burnout. The forest fire prevention early warning system is an intelligent system that uses modern advanced technology for forest monitoring and management. The early warning system can accurately know where the fire occurred and the size of the disaster at the initial stage of the fire. Then the early warning system will remind the relevant staff to carry out the relevant processing work. With the continuous development of image processing and machine vision, it has brought new directions to the research of fire detection systems. Video surveillance can detect a wider range and can obtain more intuitive information, making fire detection algorithms based on machine vision a hot pot.
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 Q. Liu et al. (Eds.): CENet 2020, AISC 1274, pp. 352–363, 2021. https://doi.org/10.1007/978-981-15-8462-6_41
Design of Forest Fire Warning System Based on Machine Vision
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The forest fire prevention platform was first used in Western countries. For example, Canada developed a grading system for fire detection in 1987. The United States developed a national fire risk prediction system in 1972. China Forestry University and China University of Science and Technology have successfully developed a fire warning system. They have also begun tria
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