FACE MASK DETECTOR

Abstract

A face mask has been declared a mandatory biosafety measure by the World Health Organization (WHO) in the wake of the COVID-19 pandemic outbreak. This has resulted in issues with current facial recognition systems, which has prompted the development of this investigation. An article in this journal describes the development of an algorithm that can recognize people even when they are wearing a mask from photographs taken by a camera. It is necessary to use a classification model based on the Tensorflow architecture and the OpenCv's face detector in order to achieve this. As a result, using these stages, it is possible to identify the location of the face and determine whether or not it is wearing a face mask. A set of observations consisting of 13,359 images is generated for the purpose of training the facial recognition models; 52.9 percent of the observations contain images with a face mask and 47.1 percent of the observations contain images without a face mask.