  The COVID-19 pandemic forced governments across the world to impose lockdowns
to prevent virus transmissions. This resulted in the shutdown of all economic
activity and accordingly the production at manufacturing plants across most
sectors was halted. While there is an urgency to resume production, there is an
even greater need to ensure the safety of the workforce at the plant site.
Reports indicate that maintaining social distancing and wearing face masks
while at work clearly reduces the risk of transmission. We decided to use
computer vision on CCTV feeds to monitor worker activity and detect violations
which trigger real time voice alerts on the shop floor. This paper describes an
efficient and economic approach of using AI to create a safe environment in a
manufacturing setup. We demonstrate our approach to build a robust social
distancing measurement algorithm using a mix of modern-day deep learning and
classic projective geometry techniques. We have deployed our solution at
manufacturing plants across the Aditya Birla Group (ABG). We have also
described our face mask detection approach which provides a high accuracy
across a range of customized masks.
