Open AccessFacemask detection in real time based single shot based algorithm
Author(s) -
Vedant Zilpilwar,
Amey Athavia,
Akash Deshmukh,
Saurabh Padman,
Shailaja Pede
Publication year - 2021
Publication title -
international journal on recent and innovation trends in computing and communication
Language(s) - English
Resource type - Journals
ISSN - 2321-8169
DOI - 10.17762/ijritcc.v9i5.5465
Subject(s) - computer science , image processing , task (project management) , field (mathematics) , shot (pellet) , computer vision , artificial intelligence , image (mathematics) , video processing , tracking (education) , interference (communication) , real time computing , algorithm , telecommunications , channel (broadcasting) , engineering , psychology , pedagogy , chemistry , mathematics , systems engineering , organic chemistry , pure mathematics
Machine learning, the future technology is destined to provide ease of living with its applications spread in all aspects of our day-to-day life. A part of machine learning is Image Processing, another growing field in which images and videos are used to provide information. Use of Image Processing is widespread and one of its applications is for security purposes. Image Processing not only reduces human interference in video surveillance but also provides a more accurate system.This paper is prepared to present the implementation of SSD Mobilenets algorithms and models used in it for carrying out the task of detection and tracking of people who are wearing masks or not in a public area.