Abstract
One of the best ways to prevent the spread of the Covid-19 virus is the adoption of the face mask. Just by wearing a face mask can reduce the risk of contracting the virus by almost 70%. Several government agencies are trying to make wearing a face mask mandatory, this process can be aided by using a face mask detecting software based on the concepts of Artificial Intelligence and Image processing. The proposed model is one that has been built using several deep learning concepts and has been trained on a dataset consisting of more than 11,000 images of faces with and without masks. A SSDNET model is being deployed for face detection, the output of which is passed to a custom made Lightweight CNN for mask detection. The model achieves a high accuracy of ~96% and ~99% on two separate testing datasets. The model will help government agencies and health officials fight the global pandemic.
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