Crowd maps: A crowd density control system to address contagious pandemics

• Published in: AIP conference proceedings 2022-11, Vol.2516 (1)
• Main Authors: Rasamsetty, Harshitha Srisatya, Kumar, G. Senthil, Angel, T. S. Shiny, Abraham, Arapurayil Zachariah, Kumar, K. Vijaya
• Format: Article
• Language: English
• Subjects: Applications programs; Closed circuit television; Density; Mobile computing; Natural disasters; Pandemics
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0109133

In an ordered community, a society's population is evident in public gathering spaces. Meeting people in such places is done deliberately on particular events, but in times when it is not needed or when the capacity of a place is met, it becomes difficult to mass plan a population's visit. There must be a mechanism to distribute the population over space and time. A collaborative effort to make sure that the crowd density is as low as it can be for the sake of certain problems such as traffic, parking space, pandemics, or natural disasters needs to be made by crowdsourcing information. To overcome these problems, showing the population a real time map of the crowd density in an area over time is one way to curb crowds by voluntary action. In this paper, we present a system of two applications for this purpose. A desktop application which, with the help of CCTV cameras, counts the people in an area and projects that number onto a map, and a mobile application which, with the help of location sensors, will project each user's location alone on the same map. The crowding is evident on a map and hence tells the users the crowd density in an area.