Predicting and automatically recognizing unusual crowd behavior with artificial intelligence
With more than two thirds of people in industrialized countries using smartphones that can be located, an enormous amount of data documenting user movement is being generated. Within the limits of respective data protection rules, those valuable data can be used to improve public safety and security in big cities and support urban planning.
Using artificial intelligence methods, SIS.analytics analyzes pedestrian streams in real time as well as possible anomalies, and also predicts the latter to a certain extent. The private sphere of individuals remains protected as SIS.analytics only processes mass data which makes individual identification impossible. SIS.analytics offers users exact insights into crowd movement behaviors, issuing automated warnings of unusual or critical situations, including just-in-time predictions of crowd movement developments.