[HTML][HTML] Forest flame detection in unmanned aerial vehicle imagery based on YOLOv5

H Liu, H Hu, F Zhou, H Yuan - Fire, 2023 - mdpi.com
One of the major responsibilities for forest police is forest fire prevention and forecasting;
therefore, accurate and timely fire detection is of great importance and significance. We …

Enhanced Lightweight YOLOX for Small Object Wildfire Detection in UAV Imagery

T Luan, S Zhou, G Zhang, Z Song, J Wu, W Pan - Sensors, 2024 - mdpi.com
Target detection technology based on unmanned aerial vehicle (UAV)-derived aerial
imagery has been widely applied in the field of forest fire patrol and rescue. However, due to …

Real-time wildfire detection via image-based deep learning algorithm

P Jindal, H Gupta, N Pachauri, V Sharma… - Soft Computing: Theories …, 2021 - Springer
Forests are the major source of oxygen that keep our ecosystem balanced. However, with
rapid economic development, the colossal threat of wildfire also enhances globally …

A deep learning method based on SRN-YOLO for forest fire detection

Y Li, Z Shen, J Li, Z Xu - 2022 5th International Symposium on …, 2022 - ieeexplore.ieee.org
Sensor-based methods and vision-based methods with manual features selection have
been widely used in forest fire detection. However, they have limited detection areas and are …

[HTML][HTML] FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices

K Ahmad, MS Khan, F Ahmed, M Driss, W Boulila… - Fire Ecology, 2023 - Springer
Background Forests cover nearly one-third of the Earth's land and are some of our most
biodiverse ecosystems. Due to climate change, these essential habitats are endangered by …

An improved YOLOv3-tiny method for fire detection in the construction industry

J Li, S Guo, L Kong, S Tan, Y Yuan - E3S Web of Conferences, 2021 - e3s-conferences.org
To prevent fire accidents on construction site and improve the accuracy of fire detection, an
improved YOLOv3-tiny method (I-YOLOv3-tiny) is proposed in this paper. Although the …

Wildfire detection in aerial images using deep learning

HUA Tahir, A Waqar, S Khalid… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Wildfires are one of the most expensive and lethal natural disasters on the planet, destroying
millions of hectares of forest resources and endangering the lives of people and animals …

[HTML][HTML] Real-time fire detection algorithms running on small embedded devices based on MobileNetV3 and YOLOv4

H Zheng, J Duan, Y Dong, Y Liu - Fire Ecology, 2023 - Springer
Aim Fires are a serious threat to people's lives and property. Detecting fires quickly and
effectively and extinguishing them in the nascent stage is an effective way to reduce fire …

A Comparison of Deep Learning Methods for Vision-based Fire Detection in Surveillance System

W Wahyono, A Harjoko, A Dharmawan… - The 5th International …, 2021 - dl.acm.org
Fire detection by analyzing video and images from surveillance cameras is increasingly
being used as an early warning system. Fire detection using video surveillance as input is …

[PDF][PDF] Forest Fire Object Detection Using Deep Learning-Based Algorithm

PH Lee, JW Song - Journal of Digital Contents Society, 2022 - journal.dcs.or.kr
We are suffering direct and indirect damage from forest fires, and it is essential to detect
them early to reduce the damage. Existing forest fire detection methods used a method of …