Abstract
This paper presents a powerful video surveillance system that can automatically detect a flame after the target has been captured by the camera. Due to the increased number of web-cameras being installed in many locations, the flame, with its own visible characteristics has a lot of potential research interests in safety protection services.When a flame scenario occurs, the corresponding input video frame will be marked by a rectangle which covers the flame area after being analyzed by the system. Further to this research the detection algorithms and methods will be more robust and this system allows for the classification of the type of fuel that is burning. Our research contributions are towards the development of an almost real-time flame detection system to aid with fire safety precautions in all kinds of environments with appropriate storage of these fire scenario pictures in a fixed file for further exploration of these flame features.
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