Open AccessFace Mask Detection using Python
Author(s) -
Amol Laxman Kawade
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.39926
Subject(s) - python (programming language) , computer science , face detection , face (sociological concept) , artificial intelligence , task (project management) , covid-19 , face masks , computer security , computer vision , usability , human–computer interaction , facial recognition system , internet privacy , pattern recognition (psychology) , engineering , programming language , medicine , systems engineering , sociology , infectious disease (medical specialty) , social science , disease , pathology
Abstract: With the rise of pandemic the face mask became one of the most essential part of human life. This project aims to ease the maintenance of the rules and regulations by the authorities. This system will do the task of detecting the percentage mask worn on a person’s face. This way it will detect if a person has worn the mask or if he/she has worn it properly such that it would prevent the infections. If the mask is not worn then the person would be highlighted and post the detection, we can raise an alert if used in public places Keywords: Face mask, Python, MobileNetV2, Detection, highlighted.