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EFFICIENT FACIAL MASK DETECTION THROUGH MACHINE LEARNING APPROACHES – A STUDY

Abstract

Abstract:-- The prevalence of the global pandemic has been taking a large toll on human life. The covid-19 pandemic has been a large problem which is resulted in many deaths across the world. This is a highly problematic scenario as the disease is very infectious and infection rates have been increasing constant with no indication of reduction. One of themost useful technique for the reduction of the infection rates is the utilization of facial masks by individuals when they step out of the house to reduce the spread of the infection. Therefore it is mandated by governments across the world towear a mask and the law enforcement agencies have been informed that the citizens follow this rule religiously.Therefore there is a need for an effective techniques that can automatically detect the mask on individual face to reduce the load on the law enforcement agencies. For this purpose a number of researchers have been effectively outlined in the survey paper to achieve our methodology for facial mass detection through the use of Convolutional Neural Networksand Decision Tree which will be elaborated in the upcoming editions of this research.Keywords: Convolution Neural Network, Decision Tree, Deep Learning model

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Special issue on Coronavirus "India & COVID-19" coming soon 


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Department of Civil Engineering, Amity University Haryana,




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