Fire Detection in the Buildings Using Image Processing
Abstract— Fire Detection in the Buildings Using Image Processing. To reduce loss of life and property from fire, an early warning is an imperative. A fire detection system based on light detection and analysis is proposed in the paper. This system uses HSV and YCbCr color models with given conditions to separate orange, yellow, and high brightness light from background and ambient light. Fire growth is analysed and calculated based on frame differences. The overall accuracy from the experiments has been greater than < Final Year Projects 2016 > 90%. Fire detectors, smoke detectors and temperature detectors have been widely used to protect property and give warning of fires. However, smoke and temperature detection is slower than light detection, which is the substantive detection method proposed in this paper. Furthermore, to cover the entire area potentially subject to fire, many smoke or temperature fire detectors are required.
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