Open AccessFace Mask and Social Distancing Detection Using ML Technique
Author(s) -
S. Alshifa
Publication year - 2021
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.2021.37021
Subject(s) - artificial intelligence , object class detection , face detection , haar like features , computer vision , computer science , social distance , face (sociological concept) , viola–jones object detection framework , pattern recognition (psychology) , facial recognition system , covid-19 , medicine , social science , disease , pathology , sociology , infectious disease (medical specialty)
Detecting Mask and Social Distance is our main motive in this project.Face detection plays important roles in detecting face mask. Face detection means detecting or searching for a face in an image or video. For face and mask detection we use viola jones algorithm or Haar cascade algorithm using Open CV. For social distancing we use YOLO algorithm. We have created a system which detect the face and then, it will detect nose and mouth to confirm that the person wear mask or not.