Facemask detection in real time based single shot based algorithm

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Vedant Zilpilwar
Amey Athavia
Akash Deshmukh
Saurabh Padman
Shailaja Pede

Abstract

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.

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How to Cite
Zilpilwar, V., A. Athavia, A. Deshmukh, S. Padman, and S. Pede. “Facemask Detection in Real Time Based Single Shot Based Algorithm”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 9, no. 5, May 2021, pp. 28-33, doi:10.17762/ijritcc.v9i5.5465.
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