Min Zhang, Y. Wan-jun, Naimeng Cang, Yu Tian, Jun-Yi Tang, Miao Zhang
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Research on Indoor Fire Early Warning System Based on Video Image and Smoke Sensor
With the rapid development of social economy, the frequency of fires is increasing day by day, and indoor fires in buildings are particularly harmful to humans. Aiming at the current situation, an indoor fire early warning system based on video surveillance and smoke sensing is proposed. Using video images to identify and monitor flames, and at the same time use smoke sensors to detect and prevent fires, and issue corresponding alarms to indoor fire conditions, which can increase the accuracy of fire identification and reduce waste of resources. It effectively reduces the false alarm rate and the false alarm rate, and improves the reliability of the entire fire warning system.