Abstract
Abstract: The COVID-19 epidemic has so quickly affected our daily lives and disrupted trade and movement. Wearing a protective face mask has become a new trend. In the near future, more and more public service providers will be asking clients to wear the mask properly to benefit their services. Therefore, the discovery of a face mask has become an important task of helping the international community. This paper introduces a simplified way to achieve this goal using basic machine learning packages such as TensorFlow, Keras. The proposed method detects the surface in the image correctly and indicates whether it has a mask on it or not. As a security guard, it can also detect faces and moving masks. The method achieves 95.77% accuracy and 94.58% respectively for different data sets. We evaluated improved parameter values using the Sequential Convolutional Neural Network model to determine the presence of the mask correctly without causing excessive alignment.
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