Comparative Analysis Of Different Deep Learning CNN Models To Recognize And Detect The Masquerade’s Face

Volume 20 No 2 (2022)

Manika Manwal

DOI: 10.48047/nq.2022.20.2.NQ22347

Abstract

The significance of wearing masks in mitigating the transmission of infectious diseases has been underscored by the persistent COVID-19 pandemic. The utilisation of machine learning algorithms for mask detection has emerged as a promising solution for detecting whether individuals are wearing masks in public spaces. This paper presents an analysis of recent studies on the detection of masks using machine learning techniques. The focus is on the utilisation of deep learning algorithms, including convolutional neural networks (CNNs), transfer learning, and object detection models such as YOLO and Faster R-CNN

Keywords

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