Abstract
For residential buildings, factories, gas stations, roads, forests and other fire scenarios with high incidence, intelligent fire prediction and early warning system will be realized by using cloud computing, Internet of Things computing, communication technology, artificial intelligence and other technologies to improve the intelligent level of fire prevention. This project intends to use the object detection technology of flying oar deep learning to automatically detect smoke and fire in the monitoring area and help relevant personnel to deal with it in time, so as to minimize casualties and property losses. This study can help users solve practical problems in fire and smoke detection applications more efficiently.
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