Open AccessAn Automated Covid-19 Face Mask Detection and Warning System with Deep Learning
Author(s) -
P. Bhuvaneshwari,
E. Punarselvam,
S. Janani,
R. Kaviya,
C. SriRanjani
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst218258
Subject(s) - computer science , artificial intelligence , covid-19 , deep learning , face (sociological concept) , face detection , python (programming language) , computer vision , facial recognition system , face shield , pattern recognition (psychology) , medicine , health care , infectious disease (medical specialty) , social science , disease , pathology , sociology , economics , economic growth , operating system
The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection methods are wearing a face mask in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. Reports indicate that wearing face masks while at work clearly reduces the risk of transmission. As the result, to create an efficient and economic approach of using Artificial Intelligence (AI)for safe environment in a manufacturing setup. A hybrid model using deep and classical machine learning for face mask detection will be presented. A face mask detection dataset consists of with mask and without mask images, by using OpenCV to do real-time face detection from a live stream via our webcam. The use of dataset is to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. The goal is to identify whether the person on video stream is wearing a face mask or not with the help of computer vision and (RCNN) deep learning.