Deep Learning Framework to Detect Face Masks from Video Footage

Deep Learning Framework to Detect Face Masks from Video Footage

Aishwarya Takale, Vaishnavi Dubey, Ganesh Kinage

Department of Computer Science, Padmabhooshan Vasantdada Patil Institute of Technology (PVPIT)

Abstract— The current COVID-19 scenario necessitates an effective face mask detection application. The project's major purpose is to put this system in place at college entrances, airports, hospitals, and offices where the possibilities of COVID-19 spreading through infection are greatest. Real-time deep learning was applied in our proposal. Face mask detection and classification models according to reports, that wearing a face mask at work lessens the chance of getting sick transmission. It's an issue with object detection and classification with two separate classes (Mask and Without Mask). A mix of Face detection model based on deep and traditional machine learning, a mask will be shown. This face mask detector is built with Python, Open CV, Tensor Flow, and Keras and is based on a dataset. Everyone should inspect their face before entering the building and make sure they have a mask with them. If anybody is discovered to be missing, a beep alarm will be issued if you wear a face mask.

 Keywords: COVID-19, Open CV, Python, CNN, Keras etc.