Issue №4, Vol. 19
Vycherova N., Budevich E., Belyaev A. DEVELOPMENT OF A FOREST EARLY DETECTION SYSTEM FIRES USING UNMANNED AERIAL VEHICLES AND ARTIFICIAL INTELLIGENCE // Resources and Technology. 2022. №4, Vol. 19. P. 85‒101.



DOI: 10.15393/j2.art.2022.6523

DEVELOPMENT OF A FOREST EARLY DETECTION SYSTEM FIRES USING UNMANNED AERIAL VEHICLES AND ARTIFICIAL INTELLIGENCE

Vycherova
   Nataliya Romanovna		Ukhta State Technical University, nvycherova@ugtu.net
Budevich
   Evgeny Arturovich		Ukhta State Technical University, ebudevich@ugtu.net
Belyaev
   Andrey Eduardovich		Gazprom Nedra PF "Vuktylgazgeofizika" LLC, belandre@yandex.ru
Key words:
drone
computer vision
pattern recognition by the method of support vectors (Support Vector Ma-chines
SVM)		 Summary: For most of the world, wildfires continue to bea serious problem. There are now many ways to deal with them, and they are all mainly aimed at reducing the damage caused by fires using early detec-tion methods. According to the estimates of the Federal Forestry Agency, on average, the amount of damage from forest fires per year is about 20 billion rubles, of which from 3 to 7 billion is damage to forestry (wood loss). The article discusses the use of unmanned aerial vehicles (UAVs) for regular pa-trolling of potentially dangerous areas of fire distribution, using the advantages of artificial intelligence (AI) and the ability to self-process the information received. This allows UAVs to use computer vision techniques to detect smoke or fire, based on information received from their video cameras

Displays: 322; Downloads: 220;