The following table provides information about the project.
Coordinator
DIGINEXT
Organization address
address: 370 RUE RENE DESCARTES LES HAUTS DE LA DURANNE IMMEUBLES A ET B
city: AIX EN PROVENCE
postcode: 13857
website: http://www.diginext.fr
1. H2020-EU.3.7.6. (Ensure privacy and freedom, including in the Internet and enhance the societal, legal and ethical understanding of all areas of security, risk and management) 2. H2020-EU.3.7.1. (Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs)
Organization address
address: 370 RUE RENE DESCARTES LES HAUTS DE LA DURANNE IMMEUBLES A ET B
city: AIX EN PROVENCE
postcode: 13857
website: http://www.diginext.fr
ALADDIN will study, design, develop, and evaluate, in series of complementary pilots, a counter UAV system as a complete solution to the growing UAV threat problem, building upon a state-of-the-art system and enhancing it by researching on various technologies and functionalities. ALADDIN will follow a holistic and heavily user-centred methodology involving a large number of LEAs and critical infrastructure operators, as well as an expert Advisory Board panel ensuring end-user diversity, as they all face different kinds of threats and work within different regulatory frameworks. This diversity is important to shape EU-wide system specifications and the innovative training curricula and training that will be realised to share the knowledge gained and raise awareness. Furthermore, within the project all regulations, social, ethical and legal elements will be studied thoroughly and continuously with an impact assessment produced and its results monitored during the project’s lifetime.
ALADDIN’s sensing arsenal is comprised of a set of custom, innovative, and unique technologies as well as established and standard sensors used for UAV detection and localisation: 1) 2D/3D paired radars; 2) Innovative optro and thermal panoramic imaging; 3) Custom designed acoustic sensors. These will be fused through novel deep learning techniques in order to provide excellent detection accuracy.
Further, ALADDIN will study and offer a set of neutralization effectors (jammers, physical and hacking). These sensing and countering capabilities will be operated through an advanced command and control (C2) system. The C2 will achieve great detection and classification accuracy within a large range, by fusing data acquired from all sensors through state-of-the-art deep learning techniques. Operator’s efficiency will be enhanced through a novel mixed reality interface with 3D cartographic and situational elements and will be complemented by support to operations like investigation and trainings
Deliverables
List of deliverables.
ALADDIN information kit V2
Websites, patent fillings, videos etc.
2020-04-24 04:18:54
Data protection, Social, Ethical and Legal frameworks
Documents, reports
2020-04-24 04:18:55
ALADDIN information kit V1
Websites, patent fillings, videos etc.
2020-04-24 04:18:54
ALADDIN web-site and social networks
Websites, patent fillings, videos etc.
2020-04-24 04:18:55
Framework for impact assessment against SoEL reqs.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ALADDIN" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "ALADDIN" are provided by the European Opendata Portal: CORDIS opendata.
More projects from the same programme (H2020-EU.3.7.6.;H2020-EU.3.7.1.)
SPIRIT (2018)
Scalable privacy preserving intelligence analysis for resolving identities