Abstract
COVID-19 pandemic has created chaos all over the world thereby reducing productivity and affecting day to day life of people. Wearing a face mask has become the need of the hour. In the future, it is expected that masks will become an integral part of human lifestyle and people have to wear masks to avail certain services. Therefore, the detection of face mask has become a global problem to avoid the spread of this virus. This paper presents a deep learning approach to detect faces with masks from an image or from a video stream, which can be used in surveillance tasks. The method attains accuracy up to 99% on Simulated Face Mask Dataset. We have manually tested this model on webcam, and it detects the presence of masks correctly without overfitting.
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Mohanty, S., Lakshmi, M.A. (2022). Masked Face Detection Using Transfer Learning. In: Bhateja, V., Tang, J., Satapathy, S.C., Peer, P., Das, R. (eds) Evolution in Computational Intelligence. Smart Innovation, Systems and Technologies, vol 267. Springer, Singapore. https://doi.org/10.1007/978-981-16-6616-2_52
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DOI: https://doi.org/10.1007/978-981-16-6616-2_52
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