Poster: A Real-time Social Distance Measurement and Record System for COVID-19

COVID-19 coronavirus is spreading all over the world for almost one year. Keeping Social distance has been proven is an efficient policy against the spread of coronavirus. In this paper, we present a system for indoor monitoring. This system not only measures real-time social distance but also records the chain of potential inflection. In real-time social distance measurement, we use stereo cameras to guarantee high accurate measurement and utilize Edge node to ensure real-time requirements. In the chain of potential inflection record, we present an architecture including object tracking and Handshake Chain database, i.e., Chain of potential inflection. To the best of our knowledge, we are the first presenting a system aim to accelerate query for COVID-19. Finally, we offer several on-going work to advance our system.