Physical Sciences › Génie / Ingénierie › Sécurité, gestion des risques, fiabilité et qualité (SGRFQ) › Fire Detection and Safety Systems

Fire Detection and Safety Systems

This cluster of papers focuses on the development and application of computer vision, deep learning, and image processing techniques for real-time fire and smoke detection, particularly in the context of video surveillance, forest fire monitoring, and unmanned aerial vehicle (UAV) based systems. The research covers a wide range of methods including convolutional neural networks, statistical color models, multi-feature fusion, and IoT-based intelligent modeling for fire prevention and safety.

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