Real Time Face Mask Recognition

Abstract

Abstract: This project depicts the use of Real Time Face Mask Recognition in the global pandemic. During COVID-19, WHO made wearing face masks a necessity so that people could protect themselves from the deadly virus. Real Time Face Mask Recognition is used to identify if a user is not wearing a face mask or not. Real Time Face Mask Recognition had seen crucial progress in the fields of Image processing and Computer vision, since the rise of the deadly pandemic. Many face mask detection models have come up which were made using various algorithms and techniques. The suggested approach in this paper uses Keras, Deep Learning, TensorFlow and OpenCV to do Real Time Face Mask Detection. This model can be used to take precautions in various public places as it can help in restricting the spread of virus. Face masks have become an essential element of our daily lives, hence it is important to wear one for the safety of ourselves and others. Keywords: Deep Learning, Face Recognition, Neural Networks, Image Processing, Open CV, Keras, Tensor Flow