초록

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Abstract ▼ AI-Helper

Smoke detectors and flame detectors in detection ability of sensors is greatly limited by the ability to detect environmental impacts in case of fire have a problem in accurate fire detection. This study describes to analyze detection performance of a video-based automated fire detection system cons...

Smoke detectors and flame detectors in detection ability of sensors is greatly limited by the ability to detect environmental impacts in case of fire have a problem in accurate fire detection. This study describes to analyze detection performance of a video-based automated fire detection system consisted of CCTV camera, a video-based fire alarm control station, CPU in order to enhance the fire detection performance. GMM(Gaussian Mixture Model) modeling for an intelligent motion detection is analyzed and the application of MHI(Motion History Image) technology is showed the improved fire detection performance. The fire detection performance is experimentally evaluated as a function of the fire source and detection distance. As a result, the fire detection time is found to increase with increased the detection distance and is analyzed with 10 sec at the detection distance of 15 m. Therefore, the video-based automated fire detection system developed showed good performance for automatic fire detection comparing with the detection time criteria of 30 sec for flame detectors.

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