Auto-SDA: Automated Video-based Social Distancing Analyzer

Social distancing can reduce infection rates in respiratory pandemics such as COVID-19, especially in dense urban areas. To assess pedestrians' compliance with social distancing policies, we use the pilot site of the PAWR COSMOS wireless edge-cloud testbed in New York City to design and evaluate an Automated video-based Social Distancing Analyzer (Auto-SDA) pipeline (shown in Fig. 1). This pipeline measures the distance between unaffiliated pedestrians (i.e., the pedestrians who do not walk together as a social group) and assesses if they maintain 6 ft distance.