Face Mask Detection Based Entery

ABSTRACT

The Covid-19 pandemic has introduced several challenges to the society and safety measures are of utmost importance. Hence, to contain and reduce the spread, mask detection-based entry has emerged as a very fascinating topic in the domains of image processing, computer vision, and the Internet of Things (IoT). Convolutional architectures are being used to develop a number of new algorithms that will improve the accuracy of the algorithm. Such convolutional architectures have also made possible the extraction of pixel details. The project aims to build a binary face classifier which can detect the presence of a mask and accordingly people will be granted entry. The classifier is created by using Convolutional Neural Network (CNN), Region based CNN (R-CNN), ThingSpeak. © 2022 IEEE.