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 …

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 …

Fires in university laboratories often lead to serious casualties and property damage, and
traditional sensor-based fire detection techniques suffer from fire warning delays. Current …

Early fire detection is quite important to fighting of forest fire. A lightweight YOLO forest fire
detection model is proposed in this study. First, the YOLOv4 object detection model is …

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 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 …

Forest fires are destructive and rapidly spreading, causing great harm to forest ecosystems
and humans. Deep learning techniques can adaptively learn and extract features of forest …

Ship fires are one of the main factors that endanger the safety of ships; because the ship is
far away from land, the fire can be difficult to extinguish and could often cause huge losses …

To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

Accurate monitoring of fire and smoke plays an irreplaceable role in preventing fires and
safeguarding the safety of citizens' lives and property. The network structure of YOLOv5 is …