ABSTRACT
Therefore, in different environments and places, we can use the network camera of the video surveillance system to detect whether people are wearing masks, and scan the OR code to obtain their information. Based on the collection and analysis of scene data by network cameras, this paper adopts a deep learning method, that is, the detection of mask wearing conditions can be realized through training on the face data of labeled masks, and this technology is combined with QR code recognition technology. It is also built into the network camera. In the current context, the research of this technology has very important value and significance for epidemic control during this period. Due to the outbreak of covid 19 in 2019, in order to prevent the epidemic, this article designed a network camera with a built in mask and QR code recognition function for video surveillance and access control system development. © 2022 IEEE.