A Novel Framework for Facemask Detection Using R-Convolution Neural Network

Abstract

Covid-19 virus has changed the total life style of human beings. This coivd-19 started in the country china and spread all over the world. World health organization (WHO) suggested the face masks to be covered which can reduce the spread of corona virus. All countries made it compulsory to wear masks to cut-off the covid spread. Hence detection of wearing masks or not has become an important area to work on for computer vision. Many woks are being done on face mask detection, but mostly basis on the classification of mask and no-mask. Here in this paper. a novel approach is proposed which not only classifies mask and no-mask people, but also identifies whether a mask is properly covered or not. Thus in this paper use of R-CNN (Convolution Neural Network) is proposed which results to achieve an accuracy up to 0.93.