Face Mask Detection using Keras, Opencv and Tensorflow by Implementing Mobilenetv2

The pandemic of Corona Virus Disease (COVID-19) is triggering a public health emergency. Wearing a face mask is one of the most important ways to combat the infection. Face mask identification is discussed in the article, and it can be used by authorities to enable COVID-19 avoidance, assessment, prevention, and action plans. In this project, we developed a deep learning model to detect the presence of a mask on a person. We have trained it using Keras and OpenCV. The image classification method: MobilenetV2 is used to speed up the training time and we use approx. 2000 images to train the model.