FireNet-v2: Improved lightweight fire detection model for real-time IoT applications

A Shees, MS Ansari, A Varshney, MN Asghar… - Procedia Computer …, 2023 - Elsevier
Fire hazards cause huge ecological, social and economical losses in day to day life. Due to
the rapid increase in the prevalence of fire accidents, it has become vital to equip the assets …

UAV forest fire detection based on lightweight YOLOv5 model

M Zhou, L Wu, S Liu, J Li - Multimedia Tools and Applications, 2023 - Springer
In recent years, the frequent occurrence of forest fires has caused serious impact on the
environment and economy. Fire detection has become a hot research direction. Despite the …

FSDNet-An efficient fire detection network for complex scenarios based on YOLOv3 and DenseNet

L Zhu, J Xiong, W Wu, H Yu - arXiv preprint arXiv:2304.07584, 2023 - arxiv.org
Fire is one of the common disasters in daily life. To achieve fast and accurate detection of
fires, this paper proposes a detection network called FSDNet (Fire Smoke Detection …

Fire detection using deep transfer learning on surveillance videos

A Bari, T Saini, A Kumar - 2021 Third international conference …, 2021 - ieeexplore.ieee.org
Traditional sensor-based fire detection systems cannot be alerted until the heat actually
reach to the sensors. Therefore, it is evident to make a fast, robust and reliable system which …

[HTML][HTML] Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation

R Ghali, MA Akhloufi - Remote Sensing, 2023 - mdpi.com
The world has seen an increase in the number of wildland fires in recent years due to
various factors. Experts warn that the number of wildland fires will continue to increase in the …

[HTML][HTML] Fire detection and notification method in ship areas using deep learning and computer vision approaches

K Avazov, MK Jamil, B Muminov, AB Abdusalomov… - Sensors, 2023 - mdpi.com
Fire incidents occurring onboard ships cause significant consequences that result in
substantial effects. Fires on ships can have extensive and severe wide-ranging impacts on …

[HTML][HTML] Light-YOLOv5: A lightweight algorithm for improved YOLOv5 in complex fire scenarios

H Xu, B Li, F Zhong - Applied Sciences, 2022 - mdpi.com
Fire-detection technology is of great importance for successful fire-prevention measures.
Image-based fire detection is one effective method. At present, object-detection algorithms …

An efficient model for real-time wildfire detection in complex scenarios based on multi-head attention mechanism

X Wang, Z Pan, H Gao, N He, T Gao - Journal of Real-Time Image …, 2023 - Springer
Wildfire is a common natural disaster that destroys the ecological environment and
endangers the lives and property of people. The average precision and speed of wildfire …

[HTML][HTML] An improved fire detection approach based on YOLO-v8 for smart cities

FM Talaat, H ZainEldin - Neural Computing and Applications, 2023 - Springer
Fires in smart cities can have devastating consequences, causing damage to property, and
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …

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 …