Using Computer Vision to enhance Safety in a Post COVID World
Saraswatula Venkata Suryanarayana, N. Balaji · 2022
The pandemic has being fought with passion over the world, and India has already in the critical phases. They must be proactive now more than ever, and governments all around the globe have realized the value of emerging technologies such as AI (Artificial Intelligence), ML (Machine Learning), and other similar technologies to combat the epidemic. Since wearing a mask and avoiding crowded places is the only option even a reliable vaccination is launched into the general market. Face mask detection can be a rejuvenating element in restoring normalcy to people’s life. In nations with huge populations, such as ours, real-time mask detection can also help with monitoring. This paper shows a variety of deep learning models for detecting whether or not a person is wearing a mask. Entry and exit access systems may be combined with such technology to assist reduce the transmission of the virus, not just for the Covid19 pandemic, but wherever and whenever facemasks are enforced to minimize any air-borne infections. This paper also shows a variety of deep learning models for social distancing monitoring.