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Enhancing real-time fire detection: an effective multi-attention network and a fire benchmark
Over the past decades, fire has been considered one of the most serious natural disasters because of its devastating nature, rapid spread, and high...
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YOLO-Fire: A Fire Detection Algorithm Based on YOLO
Fire incidents pose a significant threat to public safety and the security of lives and properties. Currently, deep learning methods deployed on edge...
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An Improved YOLOv5s Fire Detection Model
It is well-established that contact fire sensors are susceptible to interference from non-fire particles and cannot be applied to fire alarms in both...
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A theoretical framework for improved fire suppression by linking management models with smart early fire detection and suppression technologies
Bushfires are devastating to forest managers, owners, residents, and the natural environment. Recent technological advances indicate a potential for...
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Improving YOLOX network for multi-scale fire detection
Forest fire is a severe natural disaster, which leads to the destruction of forest ecology. At present, fire detection technology represented by...
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A lightweight early forest fire and smoke detection method
Forest fire is natural disasters that are sudden, destructive and difficult to handle and rescue, with millions of hectares of forests burned every...
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Rapid Fire Detection with Early Exiting
Efficient and effective fire detection has proven critical and if not achieved it can pose significant ecological and economic challenges. By...
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Fs-yolo: fire-smoke detection based on improved YOLOv7
Fire has emerged as a major danger to the Earth’s ecological equilibrium and human well-being. Fire detection and alert systems are essential. There...
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Efficient forest fire detection based on an improved YOLO model
A forest fire is a natural disaster characterized by rapid spread, difficulty in extinguishing, and widespread destruction, which requires an...
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Multiscale fire image detection method based on CNN and Transformer
Fire is one of the most harmful hazards that affect daily life. The existing fire detection methods have the problems of large computation, slow...
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Fire/Flame Detection with Attention-Based Deep Semantic Segmentation
Fire/flame detection from images or videos is very important for early fire warning systems. In this way, fires can be intervened early and...
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A lightweight fire detection algorithm for small targets based on YOLOv5s
In response to the current challenges fire detection algorithms encounter, including low detection accuracy and limited recognition rates for small...
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Early Stage Fire Detection System Based on Shallow Guide Deep Network
This work concerns how to effectively detect the fire in early stage using computer vision method. As known, the flame of early fire is small and...
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Fire Suppression and Detection in Tunnels
The basic concepts of fire suppression systems are depicted. There are mainly two water-based fire suppression systems used in tunnels, i.e. water...
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DATFNets-dynamic adaptive assigned transformer network for fire detection
Fires cause severe damage to the ecological environment and threaten human life and property. Although the traditional convolutional neural network...
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Neural fuzzy system design in forest fire detection
Forest fire detection using neural networks, remote sensing, and Geographic information systems (GIS) is an effective approach to monitor and respond...
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Detection and management of coal seam outcrop fire in China: a case study
The outcrop fire area in Rujigou Coal Mine in Ningxia, China has been burning continuously for over 100 years. This not only results in wastage of...
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A new strategy for fire detection based on analyzing the irregularity pattern of image contour
Fire is one of the most uncontrollable phenomena and is highly likely to result in irreparable harm if it is not detected at its early stages. A lot...
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Automating Fire Detection and Suppression with Computer Vision: A Multi-Layered Filtering Approach to Enhanced Fire Safety and Rapid Response
A computer vision-based integrated fire detection and automated suppression device capable of real-time functioning is proposed to enhance the fire...
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YOlOv5s-ACE: Forest Fire Object Detection Algorithm Based on Improved YOLOv5s
To address the challenges of low detection accuracy, slow detection speed, coarse feature extraction, and the difficulty of detection deployment in...
