An Intelligent System for Video-Based Proximity Analysis

Since the emergence of COVID-19 pandemic in early 2020, digital technologies played a significant role in the public-health response to COVID-19 worldwide. Rapid deployment of various technological solutions early in the course of the pandemic, especially in the context of digital epidemiological surveillance and contact tracing, is associated with a number of success stories leading to the rapid suppression of community transmission and reduction of incidence rates. Now about two years since the onset of the pandemic, public attention increasingly shifts towards finding optimal exit strategies, including adaptation of these technologies and finding their place in the post-pandemic society. Here we propose an AI-based framework for proximity tracing based on video surveillance in public places, and show how it can be used in different scenarios ranging from individual contact tracing or epidemiological surveillance of crowds to the improved public spaces planning.