Abstract: The coronavirus COVID-19 pandemic is causing a worldwide health crisis. One of the effective protection methods is wearing a mask publicly areas consistent with the planet Health Organisation (WHO). Many regulatory authorities have instituted the mandatory use of face masks especially publicly places where massive contact of individuals is frequent and inevitable, particularly inside conveyance facilities, sports arenas, shopping malls and workplaces. The technique of detecting people’s faces and segregating them into two classes namely the people with masks and other people without masks is completed with the assistance of image processing and deep learning. Many face detection models are created using techniques. The proposed approach during this paper uses deep learning, TensorFlow, Keras, and OpenCV to detect face masks. This model are often used for safety purposes since it's very resource efficient to deploy. The dataset provided during this paper was collected from various sources. This project are often utilized in schools, hospitals, banks, airports, etc. and also can be used by researchers for further development of the project.
Keywords: COVID-19,TensorFlow, Keras,OpenCV,Image Processing,Deep learning,Resource efficient,Dataset
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DOI:
10.17148/IJARCCE.2022.11380
