Descrizione del progetto
Un sistema versatile per gestire minacce multiple
I rischi chimici, biologici, radiologici e nucleari (CBRN) rappresentano una minaccia crescente. Prendiamo per esempio la diffusione dei virus pandemici: è fondamentale sviluppare la capacità di proteggere la società da simili scenari futuri. Il progetto NEST, finanziato dall’UE, progetterà e implementerà un innovativo e unico sistema di stallo in grado di rilevare minacce multiple comprese quelle CBRN nonché i virus pandemici. Nello specifico il progetto svilupperà sistemi per fornire indicazioni e avvisi sulle minacce, oltre che un’assistenza sulla sicurezza della struttura attraverso un’adeguata condivisione delle informazioni e meccanismi di analisi mediante rilevatori CBRN a basso costo. Questa nuova tecnologia sarà validata in molteplici scenari che includono una gamma di affollati siti pubblici.
Obiettivo
NEST will design and implement a novel and unique standoff system with the capability to detect multiple threats amongst which CBRN threats or pandemic viruses. As the day-to-day protection of commercial and transport facilities is the responsibility of the owners and operators, in close cooperation with local law enforcement, NEST will support owners, operators, and security staff by providing (i) threat indications and warnings, and (ii) guidance for facility security by developing appropriate information-sharing and analysis mechanisms. The system will rely on the simultaneous use of low-cost CBRN detectors embedded in one unique detection equipment, which can be located into different sites inside the building or carried by security staff. The use of low-cost sensors will enable to cover a wide space inside. NEST will help in the early detection of CBRN threats in real time, and also provide complementary information—such as such location of threats, temperature, humidity, time, operators involved, etc.—useful for auditing or investigation purposes. These functionalities will be achieved by using an IoT platform capable of acquiring, processing, and merging data from internal and third-party services. Artificial intelligence will be applied to support decision process for securing facilities and for generating automatic alerts. Furthermore, augmented reality will be used to display threats and hazards in a manner that minimise distraction and cognitive failures.
NEST will be validated in three different scenarios within the transport and commercial sectors. These scenarios include a diverse range of sites that draw large crowds of people. NEST will share information with the command centers of a stadium, a transport system, and a hotel to assess the risk situation. As a result of this action, owners, operators, and security staff will benefit from a universal system that will lay the foundations for creating a standardisation framework.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencesbiological sciencesmicrobiologyvirology
- social scienceslawlaw enforcement
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Parole chiave
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SU-SEC-2020
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
08700 Igualada
Spagna
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.