Multi-type image driven smoking behavior recognition method, device and equipment and medium

The invention relates to the technical field of indoor smoke control environment online monitoring, and particularly provides a multi-type image driven smoking behavior recognition method, device and equipment and a medium, and the method comprises the steps: obtaining a visible light image and an infrared image in a target place; a pre-constructed smoking behavior recognition model is obtained, the smoking behavior recognition model is obtained by performing machine learning training through multiple pieces of training sample data with smoking behavior labels, and the training sample data comprise visible light image sample data and infrared image sample data at the same moment; the visible light image and the infrared image are recognized through the smoking behavior recognition model, a recognition result is obtained, and the recognition result is used for representing whether a smoking behavior exists in the target place or not. According to the method provided by the invention, automatic identification o