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Secure environment for identification, mobile and biometric – EASIMoB
The project aims to develop an innovative low cost identification system combining two distinct technologies: facial recognition and 2D barcode identification. The operating principle is based on the encoding of a biometric template in a 2D barcode printed on an ordinary physical medium (badge/paper
Capitalizing knowledge on Common Alerting Protocol, individual Capacities & Capabilities of practitioners for guiding a New Cap for Alerting population in France with a multichannel platform. – Cap-4-Multi-Can-Alert
This project was created in response to assess two shortcomings: 1) the lack of efficiency and clarity in the contents of the warning tools in France (a sound signal for the sirens of the SAIP network, a voice/text message for the automatic warning systems, a text message for the geolocated SMS and
Predicting and detecting anomalies in a moving crowd without interruption – OKLOS
In the context of the 2024 Olympic Games and in public space in general, knowledge of the density of crowds and their movements appears crucial. To go beyond the current state of the art, we propose an innovative solution that combines the work of the EURECOM laboratory to transform the flow of ther
Incident Management in Crowd Gathering – GIRAFE
During the next Olympic Games in Paris 2024, France will face a major security challenge because of a series of sports events, relayed around the World, involving personalities and the public. The history of the Games and sports has unfortunately already left traces of painful events, which we have
Identification of critical situations based on multi-source data for real time real time warning – DISCRET
DISCRET aims at demonstrating the possibility to detect and locate, in real-time, unusual or critical situations in urban areas, based on the analysis of cell phone network data. This detection will be complemented with information extracted from social networks (i.e., Twitter in the context of the
Anticipated and Adjusted Crowd Movements to the Actual Terrain Situation – MAASTeR
The MAASTeR project (Mouvements de foule Anticipés et Ajustés à la Situation Terrain Réelle – anticipated crowd movements adjusted to the real field situation) proposes the creation of a decision support tool for security forces and public building operators focusing on security and mobility. This p