Visual detection model of face mask wearing specification
Manual inspection is usually used to verify whether personnel entering and exiting public places wear masks in a standardized manner.Computer vision assisted automatic inspection is mostly used for face recognition when wearing masks,whether to wear masks and other specific scenes,and there is a lack of standardized automatic detection of wearing masks.A mask wearing norm detection model based on improved YOLOv5s framework was proposed to address the issue of mask wearing norm.In order to improve the accuracy and stability of mask wearing standardization detection algorithm,based on the paddle mask data set,the mask wearing standardiza-tion detection data set was constructed through internet retrieval,manual screening and annotation,and a mask wearing normative visual detection model based on improved YOLOv5s was proposed.The model integrates a variety of embedded attention mechanisms,and the experimental results show that the advanced nature of the proposed YOLOv5s-ECA model can meet the application requirements of actual scenarios.
NETL
NSTL
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