Human face mask wearing detection method based on ResNet and Canny

Abstract

The invention provides a human face mask wearing detection method based on ResNet and Canny. The method comprises the following steps: carrying out data preprocessing firstly, and using then a Canny edge detection algorithm for extracting an edge information vector, wherein the weight coefficient of the edge information vector is alpha, the weight coefficient of an image vector is 1-alpha, and theedge information vector and the image vector are spliced to serve as network input after being multiplied by corresponding weights respectively; then establishing a ResNet convolutional neural network, and determining a network structure; finally, inputting a training set image into the ResNet network to carry out feature learning, determining a loss function and a parameter updating mode, carrying out adjustment and continuous iterative training on each layer of network parameters by using error back propagation, and finally realizing convergence to obtain a network model; and testing the trained network model through the test set image. The method is wide in recognition range and high in adaptability; and for the condition of congestion of large-flow people, whether people wear masks ornot can be quickly recognized, and the labor cost and the time cost are saved.

Description

technical field [0001] The invention belongs to the field of pattern recognition technology and image detection technology, and in particular relates to a method for detecting the wearing of a face mask based on Resnet Background technique [0002] The pneumonia epidemic caused by the new coronavirus continues to affect the whole country. In order to prevent the spread of the epidemic, wearing a mask has become an inevitable preventive measure for people to go out. In addition, wearing a mask in public places is a deployment for further implementation of the country and the prevention and control of pneumonia caused by the new coronavirus infection. Mandatory requirements for site management. Therefore, many public places such as shopping malls and hospitals have set up mask wearing detection checkpoints at the entrances and exits, and people who do not wear masks are prohibited from entering and leaving. At present, mask wearing detection is mainly manual detection, which...

AI Technical Summary

Problems solved by technology

At present, mask wearing detection is mainly manual detection, which is inefficient and labor-intensive, and this contact-type personnel verification method will increase the possibility of virus infection

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