The Intelligent System for Mask Detection using Deep Learning

ABSTRACT

The main goal of the paper is to develop and design an intelligent system for automatic conditional access in critical virologic situations. The detection of proper use of face-mask, touchless temperature measurement, and counting incoming/outcoming people for single or multiple entrance doors or gates are the main objectives of this system. Originality and innovativeness of the paper are already in the idea, to create a new generation of affordable guard systems based on artificial intelligence with an emphasis on the pandemic situation in the world. In this paper, we will describe relevant works that used deep learning in security with compliance with pandemic regulations in comparison with proposed solution. The proposed technology will enable the start of a new generation of guard systems based on artificial intelligence with an emphasis on the pandemic regulations. This will create space for innovative solutions in the security of buildings, shops, factories, public transport stations, airports, etc. The implementation of this technology can bring revolutionary changes in society in actual situation and in the future. © 2022 IEEE.