• Ayaan Dhotekar
• Mahima Patil
• Yashaswi Urade

ABSTRACT Coronavirus has impacted the world gravely. Studies have shown that wearing a facial covering is one of the protections to decrease the risk of viral transmission. Also, numerous public spots as well as open specialist organizations expect clients to utilize the help and spot provided that they wear cover accurately. At some point it may not be not difficult to physically follow the client, regardless of whether they are wearing the veil. That is the reason this innovation holds the key here. In this framework, we propose facial covering recognition utilizing picture handling which is one of the great precision and effective facial covering indicator. This proposed framework is of three phases for example 1. Picture preprocessing 2. Face recognition and harvest 3. Facial covering classifier. Our framework is equipped for identifying covered and exposed faces and can be coordinated with cameras and other hand recognizing the distance between two individuals regardless of whether they are keep separation .

Covid_19, Image Processing, Mask, CNN

"Real Time Face Mask & Social Distance Detector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.c926-c929, May-2022, Available :http://www.jetir.org/papers/JETIR2205419.pdf

"Real Time Face Mask & Social Distance Detector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppc926-c929, May-2022, Available at : http://www.jetir.org/papers/JETIR2205419.pdf