On the Performance Analysis of a TensorFlow based Neural Network for Face Mask Detection

Technology has become crucial in applying measures to refrain diseases' spread. Thus, computer vision can be an essential tool in this combat. This paper proposes and demonstrates an application that combines facial detection and artificial intelligence techniques to verify the use of masks by individuals within the range of the camera's vision field. In a pandemic period of COVID-19, it is necessary obtaining better control of mask usage in places where it is mandatory and providing quick identification of someone who will not comply with this rule. With this objective, a Machine Learning system was created to operate in real-time a classification of face mask usage to prevent the transmission of the virus and directly impact suppressing the pandemic.