ABSTRACT
COVID-19 has made face masks an imperative whenever an individual is going out in public. However, many people are remiss in fulfilling their duty to society. They are deviating from the lockdown norms and violating the regulatory measures set by the government. Such a situation only proliferates the spread of COVID-19 and makes it difficult to control it. In this paper, we use Convolutional Neural Networks (CNNs) to detect whether a person is wearing a face mask. This research uses TensorFlow and Keras to build a CNN which detects face masks with an accuracy of over 98% within 10 epochs. This algorithm will be a boon in places like malls or public areas where automated doors can be shut tight if the prospect trying to enter the store is not wearing a mask. Overall, this paper will help create products that can be used to safely break the COVID-19 chain. © 2022 IEEE.