Harnessing UAV Technology and YOLOv9 Algorithm for Real-Time Forest Fire Detection
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Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Climate change poses a pressing global challenge, precipitating significant natural disasters such as uncontrollable forest fires, droughts, and floods. These calamities exact severe tolls on human lives, ecosystems, and economies, prompting nations to seek proactive strategies for early forest fire intervention. While natural elements like dried vegetation and pine cones serve as primary fire catalysts, human activities exacerbate the incidence of forest fires, necessitating robust detection methods. Traditional approaches, including watchtowers and optical smoke detection systems, offer partial solutions, but real-time detection remains elusive. Unmanned Aerial Vehicles (UAVs) equipped with advanced sensors emerge as game-changers in forest fire detection, offering rapid and accurate surveillance over expansive forested areas. UAVs equipped with thermal imaging cameras detect fire heat signatures amidst dense foliage, aiding timely response efforts. Furthermore, their agility and maneuverability enable access to hazardous terrains, enhancing situational awareness and post- fire assessment. This study explores the efficacy of the YOLOv9 algorithm for real-time fire detection using UAV-captured imagery, showcasing its potential to revolutionize forest fire management. Leveraging advancements in computer vision technology, the YOLOv9 algorithm promises accelerated and precise fire detection, underscoring its pivotal role in mitigating the devastating impact of forest fires on ecosystems and communities. © 2024 IEEE.
Açıklama
2024 International Russian Automation Conference, RusAutoCon 2024 -- 8 September 2024 through 14 September 2024 -- Sochi -- 203125
Anahtar Kelimeler
aerial monitoring, forest fire, object detection, UAV, YOLOv9
Kaynak
RusAutoCon - Proceedings of the International Russian Automation Conference
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
2024
