Fire Image Detection System Based on Cloud Workflow

Abstract

Fire image detection is a kind of important means of early prevention of fire. The current fire image detection is focus on the feature extraction, the concrete algorithm, etc., there is the lack of unified scheduling and the realization of automatic mechanism in the feature extraction of smoke or flame, the integration of all stages and other aspects of cohesion, and there is no uniform model in terms of integration. In addition, the traditional fire image detection system is facing problems such as high investment and insufficient computing capacity. To effectively reduce the detecting and early warning time, in this paper, fire image detection system based on the cloud workflow is studied. In view of the smoke image detection, we have integrated the various key of discrete nodes in fire detection through cloud workflow technology, and connect effectively the other related nodes. By building cloud workflow architecture, we organize and ensure the operation and regulation of the key nodes and their child nodes of child nodes. Through the experimental test, the method reduce the time in the whole process of fire detection, also won't reduce the accuracy of the original mode of fire detection.