PUBLIC MOBILITY MONITORING USING COMPUTER VISION AND GIS FOR MEASURING PANDEMIC SOCIAL DISTANCING IN EFFECTIVE AND SCALABLE MANNER

Abstract

In a widespread pandemic like COVID-19, social distancing action needs to be encouraged and tools to scalable monitor this action is highly needed. This centred tool will be much more powerful to monitor at thousands sites and reduce a lot of man-power to make the monitoring process much more effective and scalable. The method to do this is by using public CCTV sources, both computer vision and GIS technology can be leveraged to capture, process and reflect what happened in multiple areas and take preventive measures if needed.