• Harsh Kumar
• Er. Saurabh Jain

: In the current times, the Coronaviruses which contains a large family of various viruses have become common and very dangerous to the almost every person in the world. This pandemic has become a big health crisis in today’s time. According to World Health Organization (WHO), wearing a mask on a face publicly is a very good way to protect from Covid-19 virus. In this paper, we propose a system that restrict the spread of COVID-19. Our system can find the persons that aren't wearing any mask on face in a smart city network where all the public places are monitored with CCTV cameras. When anyone detects without a face mask, then it will be informed to the corresponding authority through the city network. The Proposed model is trained on a dataset. The dataset is collected from various sources. Using Keras, Python, TensorFlow and Open CV, and it'll build a COVID-19 mask detector with computer vision. This can be used with the present embedded camera infrastructure to enable these analytics which may be applied to varied verticals, yet as in an office or at airport terminals/ gates, Railway Stations, Educational Institute, and Governments Places. The outstanding performance of the proposed system is extremely suitable for video surveillance.

"Face Mask Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.d406-d412, April-2022, Available :http://www.jetir.org/papers/JETIR2204353.pdf

"Face Mask Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppd406-d412, April-2022, Available at : http://www.jetir.org/papers/JETIR2204353.pdf