• Kannika V Prabhu
• Geethalaxmi
• Vijaya S Rao
• Monteiro Avelino Anil
• Kishan Kumar Shetty

This paper will detail how our machine vision/deep learning pipeline will be applied in our two-phase COVID-19 face mask detector. Following that, we'll go over the dataset that will be used to train our custom face mask detector. will then teach you how to use Keras and TensorFlow to train a face mask detector on our dataset with a Python script. This Python script will be used to train a face mask detector and then the effects will be reviewed. Given the qualified COVID-19 face mask detector, we will go on to introduce two more Python scripts for detecting face masks in real-time video streams. We'll conclude this article by looking at the findings of our face mask detector. I will even make some extra recommendations for change. During a coronavirus infection, nearly everyone wears a mask to help deter the transmission of the COVID19 virus. In certain contexts, such as group access control, face access control, facial attendance, facial security checks at train stations, and so on, this almost renders traditional facial recognition technology ineffective. As a result, it is critical to enhance the identification accuracy of emerging facial recognition technologies on masked faces. The majority of current advanced facial recognition techniques are focused on deep learning and include a vast number of face samples.

Face mask detector ,Convolutional Neural Networks ,Dataset ,openCV, Keras and Tensorflow

"COVID-19 Precaution Technique By Real Time Face Mask Detector Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d712-d721, June-2021, Available :http://www.jetir.org/papers/JETIR2106506.pdf

"COVID-19 Precaution Technique By Real Time Face Mask Detector Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd712-d721, June-2021, Available at : http://www.jetir.org/papers/JETIR2106506.pdf