[Abstract]At present, smoke image and video recognition is less in depth learning. The current problem is that the first frame of smoke video image has low recognition rate, small coverage and poor self-adaptation. This algorithm changes the ResNet structure to achieve accurate smoke area detection. In the experiment, after 5,000 data sets of different smoke images, the experimental results accurately identified the smoke picture, providing an effective solution for a wide range of fire smoke alarms.