Current forest monitoring technologies including satellite remote sensing, manned/piloted
aircraft, and observation towers leave uncertainties about a wildfire's extent, behavior, and …

In the construction of new smart cities, traditional fire-detection systems can be replaced with
vision-based systems to establish fire safety in society using emerging technologies, such as …

Fire hazard is a condition that has potentially catastrophic consequences. Artificial
intelligence, through Computer Vision, in combination with UAVs has assisted dramatically …

Wildfire is one of the most significant dangers and the most serious natural catastrophe,
endangering forest resources, animal life, and the human economy. Recent years have …

Vision sensors-based fire detection is an interesting and useful research domain with
significant alleviated attention from computer vision experts. The baseline research is based …

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 …

Fire-detection technology plays a critical role in ensuring public safety and facilitating the
development of smart cities. Early fire detection is imperative to mitigate potential hazards …

This study sought an effective detection method not only for flame but also for the smoke
generated in the event of a fire. To this end, the flame region was pre-processed using the …

Surveillance is a major stream of research in the field of Unmanned Aerial Vehicles (UAV),
which focuses on the observation of a person, group of people, buildings, infrastructure, etc …

Ensuring fire safety is essential to protect life and property, but modern infrastructure and
complex settings require advanced fire detection methods. Traditional object detection …