Comprehensive flame detection method based on ultraviolet and deep neural networks

The invention provides a comprehensive flame detection system based on an ultraviolet and deep neural network. The comprehensive flame detection system comprises an ultraviolet detector, a camera, a controller and an alarm device, the data output end of the ultraviolet detector is connected with the first data input end of the controller, the trigger end of the controller is connected with the trigger end of the camera, the data output end of the camera is connected with the second data input end of the controller, and the alarm output end of the controller is connected with the alarm input end of the alarm device; the controller judges whether the data collected by the ultraviolet detector meet the triggering condition or not according to the data collected by the ultraviolet detector, ifyes, the controller triggers the camera to collect the data, and the controller judges the environment condition according to the data collected by the camera and gives an alarm through the alarm device. According to the inv