Abstract

Abstract:-- Corona Virus (coronavirus) According tothe World Health Organization, the COVID-19 pandemic is creating aninternational health crisis, and the most successful safety method is wearing amask in public places. The COVID-19 pandemic compelled governments all over theworld to implement lockdowns in order to prevent virus transmission. Accordingto reports, wearing a face mask while at work significantly decreases the riskof transmission. A cost-effective and cost-effective method of using AI tocreate a safe environment in a manufacturing setting. For mask detection, ahybrid model using techniques such as deep and classical machine learning isprovided. A face mask detection dataset consists of images with and withoutmasks. We're going to try to time period face detection from a live stream fromour webcam using OpenCV. Using Python, OpenCV, Tensor Flow, and Keras, we willcreate a COVID-19 face mask detector with computer vision. Our aim is to usecomputer vision and deep learning to determine whether or not the person in theimage/video stream is wearing a mask.

Keywords – Face Mask Detection, Machine Learning, DeepLearning, Keras, Tensorflow, COVID -19, Video, Dataset, Model, Computer Vision