Research Of Fire Video Sensor

Fire is a serious disaster that threatens human production and bring a great threat to human life and property.The flame,as a notable feature when the fire broke out,it can be analyzed to determine the characteristics of the phenomenon of fire,and then do early-warning and reduce the fire hazard.The development of a wide range of technologies and intelligent video surveillance system, makes using the video information for flame detection and alarm seem real. Existing detection methods can not remove some of the complexity of the problem of interference environment, is likely to cause negatives and false results,the method of this paper compare with the traditional methods of fire prevention, the detection of a wide range of its high recognition rate, and it has a particularly big help when post-disaster survey.This paper designed hardware platform and software systems flame sensor for real-time monitoring based AM3715 in unmanned some places or some dangerous plant, when a fire occurs, the sensor system can effectively identify the flame, an alarm message notify Human process. This article discusses the detection method, first discussed the gray image binary method, and then after a thorough analysis of the background investigation method and Gaussian model modeling method for the frame difference method has been improved and found that it still can not meet system needs, the algorithm of the Gaussian model is more complex algorithm has been improved greatly simplifies the algorithm so that it can be applied to embedded systems.Next, the results obtained after the filtering process to obtain a suspected flame image. Based on the large number of flame image statistics, feature information obtained flames, as this further judgment. In this paper, in-depth study of the characteristics of the corner points of the flame, to use as a criterion to identify the video in flames. Finally, a large number of scholars, according to some studies, the establishment of real-time statistical analysis based on the strobe model is proposed based on the brightness change accumulator mathematical model to describe the flame flicker. And made corresponding experiments to validate our algorithm.This paper also built hardware platform of the sensor,it achieve a variety of methodsmentioned above on the devkit8500 platform,and actualize the video capture, flame recognition、system alarms、video transmission and other functions. Finally test the sensor under different scenarios, validate feasibility and accuracy of the system, has practical significance for the products of video fire detection.