Accuracy Assessment of Drone Real-Time Open Burning Imagery Detection for Early Wildfire Surveillance

S Duangsuwan, K Klubsuwan - Forests, 2023 - mdpi.com
Open burning is the main factor contributing to the occurrence of wildfires in Thailand, which
every year result in forest fires and air pollution. Open burning has become the natural …

Multi-scale video flame detection for early fire warning based on deep learning

P Dai, Q Zhang, G Lin, MM Shafique, Y Huo… - Frontiers in Energy …, 2022 - frontiersin.org
The widespread use of renewable energy resources requires more immediate and effective
fire alarms as a preventive measure. The fire is usually weak in the initial stages, which is …

FASDD: An Open-access 100,000-level Flame and Smoke Detection Dataset for Deep Learning in Fire Detection

M Wang, L Jiang, P Yue, D Yu… - Earth System Science …, 2023 - essd.copernicus.org
With the advancement of computer vision, artificial intelligence, and remote sensing
technologies, deep learning algorithms are increasingly used in terrestrial, airborne, and …

Fire detection based on convolutional neural networks with channel attention

X Zhang, K Qian, K Jing, J Yang… - 2020 Chinese …, 2020 - ieeexplore.ieee.org
The existing research on fire detection is basically based on a two-stage method, resulting in
slower detection speed, and the positioning accuracy is limited by the first-stage candidate …

Fire detection algorithm based on improved YOLOv5

J Miao, G Zhao, Y Gao, Y Wen - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Aiming at the problems of low accuracy and slow speeding of manual and sensor detection
in existing farm fire detection. This paper proposed a real-time fire detection algorithm based …

Real-time detection of full-scale forest fire smoke based on deep convolution neural network

X Zheng, F Chen, L Lou, P Cheng, Y Huang - Remote Sensing, 2022 - mdpi.com
To reduce the loss induced by forest fires, it is very important to detect the forest fire smoke in
real time so that early and timely warning can be issued. Machine vision and image …

CNN-Transformer Hybrid Architecture for Early Fire Detection

C Yang, Y Pan, Y Cao, X Lu - International Conference on Artificial Neural …, 2022 - Springer
Fire hazards bring great harm to human beings and nature. Advances in computer vision
technology have made it possible to detect fire early through surveillance videos. In recent …

A small-target forest fire smoke detection model based on deformable transformer for end-to-end object detection

J Huang, J Zhou, H Yang, Y Liu, H Liu - Forests, 2023 - mdpi.com
Forest fires have continually endangered personal safety and social property. To reduce the
occurrences of forest fires, it is essential to detect forest fire smoke accurately and quickly …

An Improved YOLOv5s-Seg Detection and Segmentation Model for the Accurate Identification of Forest Fires Based on UAV Infrared Image

K Niu, C Wang, J Xu, C Yang, X Zhou, X Yang - Remote Sensing, 2023 - mdpi.com
With the influence of climate change and human activities, the frequency and scale of forest
fires have been increasing continuously, posing a significant threat to the environment and …

Fire detection and segmentation using YOLOv5 and U-net

WS Mseddi, R Ghali, M Jmal… - 2021 29th European …, 2021 - ieeexplore.ieee.org
The environmental crisis the world faces nowadays is a real challenge to Human Beings.
One notable hazard for humans and nature is the increasing number of forest fires. Thanks …