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 …

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 …

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 …

Flame recognition is an important technique in firefighting, but existing image flame-
detection methods are slow, low in accuracy, and cannot accurately identify small flame …

Fire detection and alarm system is fully concerned for safety. And convolutional neural
network (CNN) has been introduced into fire/smoke detection based on video/image …

Accidental fire outbreak threatens people's life and property safety, and it is of great
significance to study fire detection and alarm early. The detection range of traditional fire …

The widespread use of renewable energy resources requires more immediate and effective
fire alarms as a preventive measure. The fire is usually weak in the initial stages, which is …

The existing research on fire detection is basically based on a two-stage method, resulting in
slower detection speed, and the positioning accuracy is limited by the first-stage candidate …

Intense, large-scale forest fires are damaging and very challenging to control. Locations,
where various types of fire behavior occur, vary depending on environmental factors …

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 large indoor and outdoor open spaces …