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 …

Since fires in uncontrolled environments pose serious risks to society and individuals, many
researchers have been investigating technologies for early detection of fires that occur in …

Based on the concept of deep learning, the proposed convolutional neural networks (CNNs)
processing of extracted image features has been recently applied to tackle early fire …

Accurate fire identification can help to control fires. Traditional fire detection methods are
mainly based on temperature or smoke detectors. These detectors are susceptible to …

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 is a serious disaster that endangers life and property worldwide. Accurate and prompt
fire detection can provide early warning information for firefighting efforts. Deep learning …

For the detection of fire-like targets in indoor, outdoor and forest fire images, as well as fire
detection under different natural lights, an improved YOLOv5 fire detection deep learning …

Fire accidents have become increasingly frequent and have profound effects on today's
society, leading to injuries, fatalities, and significant economic losses. It is crucial to develop …

Forest fire detection is a challenging problem in computer vision. In this paper, we build a
challenging fire dataset which contains images of fire, smoke, and red leaf to better simulate …

Fire is a major disaster in the world, and the fire detection system should accurately detect
the fire in the shortest time to reduce economic loss and ecological damage. Traditional …