Abstract
This disclosure describes techniques to monitor and predict the formation of crowds and to provide warnings before they reach potentially dangerous levels. With user permission, an ad-hoc wireless network is established between individual devices present within a region. Real-time localization and sensory information are obtained using peripheral or host electronic devices. Crowd density, as estimated by the sensors and as communicated over a wireless network, is projected onto a map that includes three-dimensional model constraints. A real-time, discrete, color-coded, occupation density is calculated. If the number of people within a region exceeds a certain threshold, an advisory or warning is broadcast to enable individuals to leave areas of dense crowd formation.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
n/a, "Crowd Detection Using Portable Device Sensors", Technical Disclosure Commons, (May 11, 2023)
https://www.tdcommons.org/dpubs_series/5887