Open AccessAnalysis of Mask Wearability Via Feature Based & Image Based Approach Using Image Processing
Author(s) -
Sarita Chauhan
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.2021.37336
Subject(s) - face (sociological concept) , feature (linguistics) , computer vision , computer science , artificial intelligence , image (mathematics) , face masks , covid-19 , medicine , sociology , social science , linguistics , philosophy , disease , pathology , infectious disease (medical specialty)
The world is fighting the Covid19 pandemic. There are so many essential equipment needed to fight against Coronavirus. One of such essentials is Face Mask. Firstly, face masks were not mandatory for everyone but as the day progresses scientists and Doctors have recommended everyone to wear face masks. Now To detect whether a person is wearing Face Mask or not, we will use Face Mask Wearability technique. Face Mask wearability Platform utilizes Image Processing to perceive if a person does/doesn’t wear a mask. The application can be associated with any current or new IP cameras to identify individuals with/without a mask. Face Detection Methods are Feature Based Approach & Image Based Approach.