Machine vision based fire detection techniques: A survey

S Geetha, CS Abhishek, CS Akshayanat - Fire technology, 2021 - Springer
The risk of fires is ever increasing along with the boom of urban buildings. The current
methods of detecting fire with the use of smoke sensors with large areas, however poses an …

Face mask detection in COVID-19: a strategic review

Vibhuti, N Jindal, H Singh, PS Rana - Multimedia Tools and Applications, 2022 - Springer
With the outbreak of the Coronavirus Disease in 2019, life seemed to be had come to a
standstill. To combat the transmission of the virus, World Health Organization (WHO) …

[HTML][HTML] Image fire detection algorithms based on convolutional neural networks

P Li, W Zhao - Case Studies in Thermal Engineering, 2020 - Elsevier
As a new fire detection technology, image fire detection has recently played a crucial role in
reducing fire losses by alarming users early through early fire detection. Image fire detection …

A Real‐Time Fire Detection Method from Video with Multifeature Fusion

F Gong, C Li, W Gong, X Li, X Yuan… - Computational …, 2019 - Wiley Online Library
The threat to people's lives and property posed by fires has become increasingly serious. To
address the problem of a high false alarm rate in traditional fire detection, an innovative …

Information-guided flame detection based on faster R-CNN

C Chaoxia, W Shang, F Zhang - IEEE access, 2020 - ieeexplore.ieee.org
Due to the diversity of the shape and texture of flame, and interference objects that similar to
flame in color, detecting the position of flame from images is a difficult task. To enable …

[PDF][PDF] Efficient Deep Learning Framework for Fire Detection in Complex Surveillance Environment.

N Dilshad, T Khan, J Song - Comput. Syst. Sci. Eng., 2023 - researchgate.net
To prevent economic, social, and ecological damage, fire detection and management at an
early stage are significant yet challenging. Although computationally complex networks have …

Smoke detection in video using convolutional neural networks and efficient spatio-temporal features

M Hashemzadeh, N Farajzadeh, M Heydari - Applied Soft Computing, 2022 - Elsevier
Fire detection in its early stages is of a great importance in different environmental related
applications. Among the visual signs of fire, smoke appears earlier than the flames in many …

Development of an early fire detection technique using a passive infrared sensor and deep neural networks

KLBL Xavier, VK Nanayakkara - Fire Technology, 2022 - Springer
Early detection of fire is key to mitigate fire related damages. This paper presents a
differential pyro-electric infrared (PIR) sensor and deep neural networks (DNNs) based …

Data-driven fire safety management at building construction sites: Leveraging CNN

Y Su, C Mao, R Jiang, G Liu, J Wang - Journal of management in …, 2021 - ascelibrary.org
Fire safety management on site is important during the implementation of construction
projects. However, many factors have caused fires at construction sites, where workers are …

Fire situation detection method for unmanned fire-fighting vessel based on coordinate attention structure-based deep learning network

S Wang, Y Zhang, TH Hsieh, W Liu, F Yin, B Liu - Ocean Engineering, 2022 - Elsevier
In the process of offshore fire protection, discovering the fire situation and grasping the
development trend of the fire situation are the premise and basis for formulating scientific …