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Innovation 4: Decision Support System dedicated to Customs and Border Guards

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National customs administrations in the EU form the operational backbone of the EU Customs Union. Currently, the Union Customs Code (UCC) is in place and there are defined specifications for the IT systems implemented by all countries.

CONNECTOR is developing a Decision Support System that will help Customs officers to make better-informed decisions with improved information and greater situational awareness. The benefits of the system mean that Customs will be able to (i) facilitate legal trade and the free movement of people by reducing waiting times at the border, (ii) help officers to allocate resources to identified key areas and (iii) utilise machine learning to continually auto-improve the system.

Innovation 5: Data fusion techniques with digital twin features

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Data Fusion integrates multiple data sources to produce more consistent, accurate and useful information and a Digital Twin is set of adaptive models that emulate the behaviour of a physical system or process in a virtual system or process, getting real time data to update itself continually.

The level of digital design in many industries is currently relatively low and the basic mathematical and simulation models needed to support the construction of digital twin technology systems are not yet established. Future work therefore requires efforts on filling the gap between low digital design level and high demand for Digital Twins. In this innovation activity, the goal is to propose a unified framework for digital twins in Border Management systems.

Innovation 6: Data Analytics and Data Lakes

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An important challenge that needs to be addressed is the optimum way to handle the vast amount of data, which may come from multiple sources, be of different types and be non-structured. Add to this the need to process the data rapidly in (almost) real-time. To overcome these challenges, it will be essential to go beyond the traditional data management systems and to use cutting-edge Data Lake technologies and methodologies, tailored for the needs of IBM.

CONNECTOR will build modern and customised Big Data Analytics and Artificial Intelligence techniques (e.g. Natural Language Processing) to integrate and rapidly process the vast amount of miscellaneous input data that will be produced. This data will be stored and managed in suitable Data Lakes, so that it is possible to enhance situational awareness and enable fast risk assessment and decision making.

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