  An outbreak of the coronavirus disease which occurred three years later and
it has hit the world again with many evolutions. The effects on the human race
have already been profound. We can only safeguard ourselves against this
pandemic by mandating a "Face Mask" also maintaining the "Social Distancing."
The necessity of protective face masks in all gatherings is required by many
civil institutions in India. As a result of the substantial human resource
utilization, personally examining the whole country with a huge population like
India, to determine whether the execution of mask wearing and social distance
maintained is unfeasible. The COVID-19 Social Distancing Detector System is a
single-stage detector that employs deep learning to integrate high-end semantic
data to a CNN module in order to maintain social distances and simultaneously
monitor violations within a specified region. By deploying current Security
footages, CCTV cameras, and computer vision (CV), it will also be able to
identify those who are experiencing the calamity of social separation.
Providing tools for safety and security, this technology disposes the need for
a labor-force based surveillance system, yet a manual governing body is still
required to monitor, track, and inform on the violations that are committed.
Any sort of infrastructure, including universities, hospitals, offices of the
government, schools, and building sites, can employ the technology. Therefore,
the risk management system created to report and analyze video streams along
with the social distance detector system might help to ensure our protection
and security as well as the security of our loved ones. Furthermore, we will
discuss about deployment and improvement of the project overall.
