The corona virus COVID-19 pandemic is causing a global health crisis so the effective
protection methods is wearing a face mask in public areas according to the World Health
Organization (WHO). The COVID-19 pandemic forced governments across the world to impose
lockdowns to prevent virus transmissions. Reports indicate that wearing facemasks while at
work clearly reduces the risk of transmission. An efficient and economic approach of using AI to
create a safe environment in a manufacturing setup. A hybrid model using deep and classical
machine learning for face mask detection will be presented. A face mask detection dataset
consists of with mask and without mask images, we are going to use OpenCV to do real-time
face detection from a live stream via our webcam. We will use the dataset to build a COVID-19
face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras.
Our goal is to identify whether the person on image/video stream is wearing a face mask or not
with the help of computer vision and deep learning
