• G.C.Jagan
• Abhiksha A
• Abirami K
• Aswin Joy C M

According to data obtained by the World Health Organization, the global pandemic of COVID-19 has severely impacted the world. Wearing face masks and following safe social distancing are two of the enhanced safety protocols that need to be followed in public places in order to prevent the spread of the virus. To create a safe environment that contributes to public safety, in this project an efficient TensorFlow and computer vision-based approach focused on the real-time automated monitoring of people to detect face masks in public places by implementing the model on Image Processing to monitor activity and detect violations through camera. After detection of a breach, the Image Processing gives audio feedback. First the person needs to show their hand in front of the contactless temperature sensor, if their body temperature is normal, it’ll pass the command to the hand sanitizer dispenser after that it will pass the information to python for face mask detection. Only if a face mask is detected the door will be opened. Along with that, we added total number persons allowed inside the room if it exceeds the limit the door will not be opened. The room lights are also automatically controlled depending on the person inside. If there's no one inside that room the power will be turned off automatically to save energy.

"A SAFE ROOM FOR LIFE POST COVID-19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.g419-g448, June-2022, Available :http://www.jetir.org/papers/JETIR2206653.pdf

"A SAFE ROOM FOR LIFE POST COVID-19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppg419-g448, June-2022, Available at : http://www.jetir.org/papers/JETIR2206653.pdf