Every year, a large number of wildfires all over the world burn forested lands, causing adverse ecological, economic, and social impacts. Beyond taking precautionary measures, early warning and immediate response are the only ways to avoid great losses. The main challenge in video-based fire detection lies in the modeling of the chaotic and complex nature of the fire phenomenon and the large variations of both flame and smoke appearance in video.
The identification of smoke, especially in its early stage, is one of the key challenges of video-based fire detection systems. VCL has a strong expertise in developing AI algorithms for both flame and smoke detection in Video Surveillance Applications. The video sequence below demonstrates the efficiency of our smoke detection algorithm in a real fire incident. Our algorithm can detect smoke in its early stage despite its small size, the long distance from the camera, as well as the low resolution and quality of the video captured by a surveillance camera.
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