Abstract: Coronavirus pandemic has quickly impacted our everyday life upsetting the world exchange and developments. Wearing a defensive facial covering has turned into another ordinary. Soon, numerous public specialist co-ops will request that the clients wear covers effectively to profit of their administrations. Along these lines, facial covering identification has turned into a vital assignment to help worldwide society. This paper presents an improved way to deal with accomplish this reason utilizing some essential Machine Learning bundles like TensorFlow, Keras, OpenCV and Scikit-Learn. The proposed strategy distinguishes the face from the picture effectively and afterward recognizes if it has a veil on it or not. As an observation task entertainer, it can likewise distinguish a face alongside a cover moving. The strategy accomplishes precision up to 95.77% and 94.58% separately on two distinctive datasets. We investigate advanced upsides of boundaries utilizing the Sequential Convolutional Neural Network model to identify the presence of covers effectively without causing over-fitting.
Keywords: Coronavirus disease 2019, Face mask , CNN
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