Open AccessA Review on COVID-19 Face Mask Detection using CNN
Author(s) -
Kavita Singh,
Shailesh D. Kamble,
Samiksha M. Kalbande,
Punit Fulzele
Publication year - 2021
Publication title -
journal of pharmaceutical research international
Language(s) - English
Resource type - Journals
ISSN - 2456-9119
DOI - 10.9734/jpri/2021/v33i35b31896
Subject(s) - covid-19 , face masks , computer science , face (sociological concept) , python (programming language) , pandemic , artificial intelligence , computer vision , face detection , detector , facial recognition system , computer security , pattern recognition (psychology) , telecommunications , medicine , virology , infectious disease (medical specialty) , sociology , social science , disease , pathology , outbreak , operating system
The World Health Organization claims (WHO),Corona Viruses the COVID-19 pandemic is causing a nationwide crisis, wearing a mask on a face in public places is an effective protection measure. The COVID-19 pandemic forced governments all over the world to implement quarantine measures in order to deter virus spread. Reports suggest that the risk of transmission is clearly minimized by wearing face masks when at work. An effective and economic approach to the use of AI in a manufacturing setting to build a secure environment. Using a face mask detection dataset, we will use Open CV to perform real-time face detection from a live stream from our webcam. Using Keras, Python, Tensorflow and Open CV, and, it will build a COVID-19 face mask detector with computer vision. Using computer vision and CNN, I aim to decide whether or not the person in the image or video streaming is wear a mask.