Multi-Modal Situation Assessment & Analytics Platform - Automatic detection and recognition of threats to critical assets in large unpredictable environment

SEVENTH FRAMEWORK PROGRAMME THEME 10: Security

Concept and objectives

Inside the MOSAIC project, the consortium is going to research and develop a multi-modal data intelligence capture and analytics system. The aim is to support decision making by automated detection, recognition, geo-location and mapping, including intelligent decision support at various levels to enhance situation awareness, surveillance targeting and camera handover.
Accordingly, research sub-goals inside MOSAIC are:
1) A framework for the tagging, search and fusion of data from distributed multi-media sensors, sources and databases, underpinned by standard data ontology,

2) A system architecture to support wide area surveillance with decision support capabilities,

3) Algorithms, including hardware-accelerated ones for smart cameras, which enable disparate multi-media information correlation to form a common operating picture, including representation of temporal information and aspects,

4) Tools and techniques for the extraction of key information from video, un-controlled text and databases using pattern recognition and behaviour modelling techniques,

5) Algorithms and techniques to represent decisions and actions within a mathematical framework, and how this framework can be used to simulate the effects of disturbances on the system.

 

Our involvment

A E Solutions (BI)’s contributes to the project in the following way:

1) We represent the contact and liaison with the user group and are highly involved in the requirements gathering phases of the project. We apply state-of-the-art research knowledge to involve users and elicit requirements from them in order to achieve high research standards and meet project goals.

2) We are responsible for the creation of the cross-matching data mining algorithms that will gather and combine/link data from heterogenous data sources. Mining result analysis is to be supported by a intuitive and efficient graphical user interface.

3) We are responsible for the identification and analysis of criminal networks in order to support the targeted surveillance and decision support in large area environments.

4) We taking a major part in the timely integration of system modules into an integrated system solution based upon the proposed systems architecture and the above developed enabling technologies.