Wearing a face mask has become an indispensable part of our lives, ever since the coronavirus came into existence. During the pandemic, masks played a critical role in preventing transmission of the virus and hence were very widely used. However, because the concept of wearing masks on such a regular basis was completely new to the masses, it has been difficult to implement the practice effectively. Face masks are often not worn properly, rendering them useless and hence it becomes imperative that there is some mechanism to check the same, preferably without human intervention as there is already shortage of personnel in several areas. In such a situation, an automated Face Mask Detection System comes in vary handy.

Many workers die due to the direct contact of the nuclear radiation and hence masks are an absolute essential for the workers who are regular contact with nuclear radiation suCh as in factories and mines.

Many doctors are in regular contact with patients who are infected and hence mask plays a major role in helping the doctors and nurses to stay safe.

This mask recognition system was created by using python libraries and machine learning model in Jupyter Notebook,also by implementing basic skills learned for pre-processing of data science tools.

Python 3, Python Libraries (numpy, pandas, os, matplotlib), dlib and face_recognition, OpenCV, Keras, Kaggle(For dataset),Jupyter Notebook, Tensorflow, sklearn , MTCNN