• Riya Chaudhari
• Lokesh M. Giripunje
• Arpita Patra
• Aniket Sagar

According to World Health Organization, this global pandemic (COVID-19) has severely impacted the world and now the number of people infected is above fifty million. As prescribed by all doctors and scientist across the world Wearing face masks and following safe social distance are two of the enhanced safety protocols need to be followed in public places in order to prevent the spread of corona virus and save human life. We need to create safe environment for humans and animals as well. For that sole purpose, we propose an efficient and reliable computer vision-based approach in the real-time for monitoring people to detect both safe social distancing and face masks in public places by implementing the model using OpenCV. After detection of breach, the system sends alert/notification signal to concerned authority and also give alarm to public. In this proposed system modern deep learning algorithm have been mixed with geometric techniques for building a robust model which covers three aspects of detection, tracking and validation. Thus, the proposed system favors the society by saving time and helps in lowering the spread of corona virus by monitoring social distancing norms. In the current situation when lockdown is eased to inspect persons in public gatherings, shopping malls, etc., It can be implemented effectively. Automated inspection reduces manpower to inspect the public and also can be used in any place. We have gone through some papers for reference and we have written about them in this paper.

covid-19, social distancing, restricted zone, region of interest, computer vision.

"A Review On Social Distance & Face Mask Detector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.171-177, April-2021, Available :http://www.jetir.org/papers/JETIR2104023.pdf

"A Review On Social Distance & Face Mask Detector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp171-177, April-2021, Available at : http://www.jetir.org/papers/JETIR2104023.pdf