Face Mask Detection Using Tensor Flow, KERAS, and OPEN CV

Abstract

For face mask identification; this journal examines the use of Python programming with Deep Learning, TensorFlow, Keras, and Open CV. The classifier uses the MobileNetV2 architecture as a foundation to do real-time mask detection. This system can be used in real-time applications which require face-mask detection for safety purpose due to the outbreak of coronavirus pandemic. The system’s method is set up in such a way that it uses a video camera to capture people’s images and apply detecting algorithms. After the successful implementation of face mask detection with a video camera that helps in the detection of people wearing and not wearing a face mask. Using the visualization algorithms, it is possible to show the detection percentage of calculation in various ways.