Deep Learning Model For Identification Of People With Or Without Masks During Pandemic
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 8, Pages 2972-2978
AbstractA mask can be used to effectively inhibit the spread of the COVID 19 virus mostly during coronavirus epidemic. Throughout such situations, conventional, outdated facial scanning technologies for airport community entry control, shopping centers, train stations, etc. The quality of scanning will then be improved. This paper covers the machine learning algorithm for contactless facial automatic detection in the case of COVID-19 in the fields of community engagement, social networking, school administration, store entrance management and business recovery situations. Machine learning is a way of screening entering with masks, which involves a variety of specimens of the faces mentioned here. Secondly, in this document, there aren't too many masked facial databases earlier publicly accessible. To this side, several types of masked face data sets, MFDD, Real MFRD and modeled MFRD, are recognized. These data sets have become widely available for companies and academic institutions, based on different apps that can be developed on masked sides. The paper has also discussed the mathematical model and the accessibility and the problems of the data sources above.
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