Examination room abnormal behavior detection method based on improved YOLOv7 model

The invention discloses an examination room abnormal behavior detection method based on an improved YOLOv7 model, and the method comprises the steps: S1, carrying out the framing processing of an existing examination room monitoring video, and obtaining the image data of an examination room; s2, sequentially preprocessing and labeling the examination room picture data to obtain an examination room abnormal behavior data set; s3, constructing an improved YOLOv7 network model, and replacing an activation function SiLU with an FReLU; the Gn-ASPPCSPC module is used for replacing the ASPPCSPC module, and the Gn-MP module is used for replacing the MP module; using an SIoU loss function; s4, training the improved YOLOv7 model by using the examination room abnormal behavior data set, and obtaining an optimal performance model after training is completed; and S5, identifying the newly obtained examination room picture through the optimal performance model, and detecting an abnormal behavior occurring in the examinatio