AEGIS Advanced Big Data Value Chains for Public Safety and Personal Security

Transcription

1 AEGIS Advanced Big Data Value Chains for Public Safety and Personal Security Dr. Yury Glikman AEGIS Project Manager Fraunhofer FOKUS 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg

2 Key Facts Topic: ICT Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation Type of Action: Innovation Action Project start: 1 January 2017 Duration: 30 months Project Coordinator: Fraunhofer FOKUS (Germany) Consortium: 10 organizations from 8 EU member states 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 2

3 Consortium FRAUNHOFER FOKUS Germany (coordinator) GFT Italia Srl Italy KTH Sweden VIF Kompetenzzentrum Austria UBITECH Cyprus National Technical University of Athens Greece École Polytechnique Fédérale de Lausanne Switzerland SUITE5 Ltd UK HYPERTECH Greece Hdi Assicurazioni S.P.A. Italy 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 3

4 Public Safety and Personal Security (PSPS) PSPS - Welfare and protection of the general public and of individuals through prevention and protection from dangers affecting safety such as crimes, accidents or disasters Obvious interest in public and personal safety - both from the public and the private sector Today PSPS services are based on fragmented and domain-specific data Huge potential for combining data from different domains for PSPS services 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 4

5 Challenges Lack of a common structure and semantic model Data discoverability Data Quality Lack of data and knowledge sharing mechanisms Lack of business models 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 5

6 AEGIS Concept AEGIS will bring together data owners related to PSPS issues and enable their interrelation and interoperation 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 6

7 Four-Dimensional AEGIS Offering 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 7

8 Architecture 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 8

9 Scientific and Innovation Objectives To identify and semantically link diverse cross-sector and multi-lingual information sources contributing to the generation of a trustful data sharing value chain around Pubic Safety To supply a scientifically rigorous methodology for data handling micro-services that compose a novel Big Data Architecture allowing constant expansion 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 9

10 Technical Objectives To roll-out improved intelligence conveying cross-sector and multi-lingual tools, turning the Big Data 4Vs (Volume, Variety, Veracity, Velocity) into Value To deliver an open, secure, privacy-respectful, configurable, scalable cloud based Big Data infrastructure as a Service benefiting all actors in the value chain 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 10

11 Business Objectives To validate and optimise the AEGIS platform through a set of long-lasting demonstrators in three (3) different sectors To introduce new Business Models and Data-driven Shared Economy principles in different business sectors through the offering of AEGIS as-a-service To establish an Open Innovation Community supporting real-life demonstration applications and expanding the usage of the AEGIS platform to all stakeholders affected 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 11

12 Demonstrator 1 Integrated Road Safety Indicator (by VIF ) Combination of vehicle lifecycle datasets and datasets from other domains: Traffic, weather, maps, accidents, crimes, media, air quality, etc The indicator will be used by on-board Advanced Driving Assistance Systems (ADAS) to improve driving safety and guide drivers toward more economic efficiency driving style AEGIS will help to create a more mature driver safety model 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 12

13 Demonstrator 2 Smart Home and Assisted Living (by HYPERTECH + SUITE5 + UBITECH) Personalised guidance towards elderly people Smart Home Automation for Security and Well-being enhancement Data: broadcast and social media data, crime data, geo-location, weather, wearable sensors, health provider records, and announcements and personal health vulnerability data sensing data (temperature, humidity, luminance, CO2, VOC, occupancy) Target customers: service providers in the area of social/ health-care and assisted living enabling proactive interventions, fine-grained and personalised service offerings, along with enhancement of service effectiveness through significant improvements in elderly s quality of life 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 13

14 Demonstrator 3 Insurance Sector: Personalised Early Warning System for Asset Protection (by Hdi + Gft) Personalised intelligence for preventing specific catastrophic incidents related to people lives/assets through early warning notifications Data: Insurance incidents data, insurance data, location data, media, social media data, crime data, other statistics, weather, traffic, etc. Reduced number of insurance cases and costs The usage statisctics of the demostrators and underlying data assest will recorded, evaluated and reported. 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg 14

15 Thank you! Yury Glikman 17 January 2017 Information and Networking Day ICT 14, 15, 16, 17 - Luxembourg