Faster R-CNN-based fire risk sensing technology for communities

As the population of a community grows rapidly, the risk of fire in the community increases. In order to warn or predict the risk of community fire in time and reduce the loss caused by community fire to some extent. We propose a kind of index system for community fire risk assessment, whose data uses sensor data and video data of a community as data sources, labeling to label the image data information and use Faster R-CNN algorithm to process the image data, use the sensor collection data, combined with the index system of community fire risk assessment, to achieve the prediction and evaluation of community fire risk level, before the fire It can effectively improve the level of prevention and control of community fire risk before the occurrence of fire, and facilitate property managers, street and community fire management personnel to carry out daily fire management work, and also play a positive role in reducing the frequency of community fires and reducing the casualties and property losses caused by fire; in addition, it can also identify the flame and smoke in the occurrence of fire, to timely alarm to avoid further expansion of the fire.