• Punam Naik
• Gauri Godse
• Pooja Prajapati
• Prof.A.D.Khairkar

According to data obtained by the World Health Organization, the global pandemic of COVID-19 has severely impacted the world and has now infected more than eight million people worldwide. Wearing face masks and following safe social distancing are two of the enhanced safety protocols need to be followed in public places in order to prevent the spread of the virus. To create safe environment that contributes to public safety, we propose an efficient computer vision based approach focused on the real-time automated monitoring of people to detect both safe social distancing and face masks in public places by implementing the model to monitor activity and detect violations through camera. After detection of breach, system generate alert signal.

Face Mask, Covid-19, Social Distancing, CNN.

"Implementation Paper “SOCIAL DISTANCING AND FACE MASK DETECTION USING DEEP LEARNING AS SAFETY MEASURE FOR COVID-19”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.f179-f185, June-2021, Available :http://www.jetir.org/papers/JETIR2106723.pdf

"Implementation Paper “SOCIAL DISTANCING AND FACE MASK DETECTION USING DEEP LEARNING AS SAFETY MEASURE FOR COVID-19”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppf179-f185, June-2021, Available at : http://www.jetir.org/papers/JETIR2106723.pdf