COVID-19 is a disease caused by a corona-virus which appeared in China in December 2019. It is primarily spread between people during close contact. Social Distancing Spectator automatically detects the extent to which social distancing protocols are followed in the area using thermal images.
Deploying it on current surveillance systems and drones used by police to monitor large areas can help to prevent corona-virus by allowing automated and better tracking of activities happening in the area.
It shows analytics of the area in real time.
It can also be used to alert police in case of considerable violation of social distancing protocols in a particular area.
Hence, this work aims at minimizing the spread of the COVID-19 virus by evaluating if and how persons comply with social distancing rules.
The proposed approach is applied to images acquired through thermal cameras, to establish a complete AI system for people tracking, social distancing classification, and body temperature monitoring.