The end of 2019 witnessed the outbreak of Coronavirus Disease 2019 (COVID-19), which has continued to be the cause of plight for millions of lives and businesses even in 2021. As the world recovers from the pandemic and plans to return to a state of normalcy, there is a wave of anxiety among all individuals, especially those who intend to resume in person activity. Studies have proved that wearing a face mask significantly reduces the risk of viral transmission as well as provides a sense of protection. However, it is not feasible to manually track the implementation of this policy. Technology holds the key here. So we are introducing a system based on deep learning that which can identify the person either wearing a mask properly or not. To implement the process we consider the dataset called MAFA-data which will be trained using Convolution neural network (CNN) along with computer vision.

INDEX TERMS: Deep Learning, Convolutional Neural Network, Face mask image dataset.