Results 1 to 10 of about 57,514 (233)

Research on hidden fire source detection in goaf of Hengyi coal mine [PDF]

open access: yesE3S Web of Conferences, 2023
Coal fires cause waste of coal resources, air pollution, and threaten the safe production of coal mines, but concealed fire source detection is difficult, and a single detection method has limitations, which makes it difficult to accurately determine the
Kai Wang   +3 more
doaj   +1 more source

An Image-Based Fire Monitoring Algorithm Resistant to Fire-like Objects

open access: yesFire, 2023
Due to its wide monitoring range and low cost, visual-based fire detection technology is commonly used for fire detection in open spaces. However, traditional fire detection algorithms have limitations in terms of accuracy and speed, making it ...
Fang Xu, Xi Zhang, Tian Deng, Wenbo Xu
doaj   +1 more source

Dehazing Model of Extra-High Voltage Converter Station Based on Two-Stage Attention

open access: yesIEEE Access, 2023
Fire detection is an important technology to reliably guarantee the safety of power transmission scenarios. An effective fire detection model can help fire-fighting robots be deployed in a timely and accurate manner.
Liu Rui, Zhang Jiaqing, He Yang
doaj   +1 more source

Characteristics Based Fire Detection System Under the Effect of Electric Fields With Improved Yolo-v4 and ViBe

open access: yesIEEE Access, 2022
To address slow image-based detection of fires under the effect of electric fields and its limitation to static fire characteristics, this paper proffersa video-based fire detection system with improved you only look once version 4 (Yolo-v4) and visual ...
Shuai Zhao   +4 more
doaj   +1 more source

Tackling Small Data Challenges in Visual Fire Detection: A Deep Convolutional Generative Adversarial Network Approach

open access: yesIEEE Access, 2021
Fire detection technologies remain a critical component of building automation. With the recent significant advances in computer vision, visual fire detection methods have been developed and integrated into building surveillance systems.
Zhaoyi Xu   +2 more
doaj   +1 more source

Video fire detection – Review [PDF]

open access: yesDigital Signal Processing, 2013
This is a review article describing the recent developments in Video based Fire Detection (VFD). Video surveillance cameras and computer vision methods are widely used in many security applications. It is also possible to use security cameras and special purpose infrared surveillance cameras for fire detection.
A. Enis Çetin   +7 more
openaire   +4 more sources

Online Detection of Fire in Video [PDF]

open access: yes2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007
This paper describes an online learning based method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. Our fire detection method consists of weak classifiers based on temporal and spatial modeling of flames.
B. Ugur Töreyin, A. Enis Çetin
openaire   +2 more sources

Application Status of Carbon Nanotubes in Fire Detection Sensors

open access: yesFrontiers in Materials, 2020
With the rapid development of the city, all kinds of high-rise buildings, large shopping malls and entertainment places have been built one after another. There are some hidden dangers of fire accidents. Effective prevention and monitoring of fire is the
Guoqing Xiao   +8 more
doaj   +1 more source

An Improvement of the Fire Detection and Classification Method Using YOLOv3 for Surveillance Systems

open access: yesSensors, 2021
Currently, sensor-based systems for fire detection are widely used worldwide. Further research has shown that camera-based fire detection systems achieve much better results than sensor-based methods. In this study, we present a method for real-time high-
Akmalbek Abdusalomov   +3 more
doaj   +1 more source

Image fire detection algorithms based on convolutional neural networks

open access: yesCase Studies in Thermal Engineering, 2020
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 is based on an algorithmic analysis of images.
Pu Li, Wangda Zhao
doaj   +1 more source

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