This paper is published in Volume-7, Issue-4, 2021
Area
Machine Learning
Author
Mansi Jha, Priya G. M., Nisha, Pallavi N.
Org/Univ
Atria Institute of Technology, Bengaluru, Karnataka, India
Pub. Date
06 July, 2021
Paper ID
V7I4-1214
Publisher
Keywords
Face Mask Detection, Social Distancing Detection, Convolutional Neural Network

Citationsacebook

IEEE
Mansi Jha, Priya G. M., Nisha, Pallavi N.. COVID-19 facemask and Social Distancing Detector, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Mansi Jha, Priya G. M., Nisha, Pallavi N. (2021). COVID-19 facemask and Social Distancing Detector. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Mansi Jha, Priya G. M., Nisha, Pallavi N.. "COVID-19 facemask and Social Distancing Detector." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

The world is facing a huge health crisis due to the rapid transmission of COVID-19. The World Health Organization (WHO) issued several guidelines for protection against the spread of coronavirus. The impact of COVID-19 has fallen on almost all sectors of development, mainly the healthcare system is going through a crisis. According to WHO, the most effective preventive measure against COVID-19 is wearing a mask and maintaining social distance in public places. This paper introduces face masks and social distancing detectors that can be used by the authorities to make mitigation, evaluation, prevention, and action planning against COVID-19 which is causing a health crisis. Detection of people who are not wearing masks and not maintaining social distance is a challenge due to the Outbreak of the Coronavirus pandemic which has created various problems. This paper aims at explaining the design of a system that helps in solving the above issues, i.e detection of mask and social distance.