Abstract
The COVID-19 is an uncommon emergency that has brought about an enormous number of setbacks and security issues. Individuals habitually wear covers to safeguard themselves from the spread of Covid. Since specific pieces of the face are covered up, face acknowledgment turns out to be incredibly troublesome. During the progressing Covid pandemic, one of the specialists' essential objectives is to concocted answers for the issue that are both fast and effective. The reason for this paper is to give a survey of different strategies and calculations for human acknowledgment with a facial covering. This paper depicts different methodologies, for example, Haar course, Adaboost, VGG-16 CNN Model, etc. An examination of these techniques is acted to figure out which approach is achievable. With innovative progressions. Keywords — Viola Jones, Adaboost, Computer Vision, Convolutional Neural Network, MobileNetV2, VGG – 16 Model.
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