Proposed Detection Face Model by MobileNetV2 Using Asian Data Set

In 2019, the infectious coronavirus disease 2019 (COVID-19) was first reported in Wuhan, China. It has then become a public health problem world. This pandemic is having heavy impact on lives of people our country. All countries are trying to control spread this disease. To solve problem, each person needs wear masks place. Therefore, we propose model capable distinguishing between masked and nonmasked faces using convolutional neural network (CNN) based deep learning (DL)—MobileNetV2 paper. The can detect who not wearing masks. an accuracy up 99.37%. will be applied places such as schools, offices, so monitor