Tracking Social Distancing During COVID-19
A University of Michigan startup is using advanced computer vision models and live public street cameras to track social distancing behaviors at some of the most-visited places in the world.
In this episode of Michigan Minds, Jason Corso, U-M professor of electrical and computer engineering and CEO of Voxel51, an Ann Arbor video analytics and data management company, discusses how Voxel51 is using custom AI to track how pedestrian and vehicle traffic is evolving amid stay-at-home orders in locations around the world.
The tool assigns a physical distancing index, or “PDI,” to each location to help people understand how COVID-19 is changing social behaviors. Corso says that he hopes it provides insight as to how their communities are responding to public health guidelines.