Classifying social-psychological personal parameters through artificial intelligence and machine vision for the purpose of protection of persons in real time
| Provider | Technology Agency of the Czech Republic |
| Programme | ÉTA |
| Project code | TL02000352 |
| Participants | Faculty of Social Sciences Charles University, Police Academy of the Czech Republic, RCE systems s.r.o., Brno University of Technology |
The project focuses on the classification of the social and psychological parameters of persons in crowded places with the poor protection. This information will be extracted from a video data typical for a common surveillance infrastructure (such as a railway station or shopping center system) using methods of psychological analysis, machine vision and deep neural networks. The parameters obtained will serve, among other things, to determine the statistical distribution of the pre-evacuation time in the event of an emergency, when this time interval is for security personnel critical and hard to obtain, and generally to improve supervision. Used methods will comply with the General Data Protection Regulation.
Share this project with others
Other related projects
Peace Research Center Prague
In our time of rapid change, the risks of major violent conflict are rising. The need to prevent unnecessary human suffering calls for a deeper scholarly understanding of the causes,…
Programme on Environmental Communication
This four-year research programme aims to reframe environmental communication, i.e., to mainstream an advanced and inclusive understanding of environmental communication in research, policy and practice so that it can effectively…
Memory of Nation Exposition Education Tools for the 21st Century
The project core is experimental development and applied research of new technologies and unique software to support museum experience and education. Interactive museum exhibits, games or virtual reality for the…