Mask Detection Using CNN and OpenCV

Abstract

With Covid-19 tormenting the entire world, masks have become an essential item when stepping out of the house as it greatly prevents the spread of disease-causing germs and viruses. However, people often seem to take it lightly and not wear their masks when they step out. Therefore, we propose to design a mask detection system that alerts the concerned people with an alarm when the person in question is not wearing a mask. For this, we shall be using the medical imaging dataset obtained on Kaggle. In addition to this, we incorporate CNN and ResNet to train the model and OpenCV to test it with real-time data. We aim to obtain a high accuracy to ensure perfect face mask detection.