Most organisations and individuals in ENTRANCE have already collaborated through previous successful EU funded projects such as C-BORD, CORE, CONTAIN, EUROSKY and are reuniting their capabilities to build the value chain of NII for effective border controls. A further strength of the consortium is the participation of five practitioners - Border Guards Authorities and/or Customs Authorities - readily engaged to defining the requirements and testing the solutions onsite. Besides technical aspects, the ENTRANCE solution will have been designed by customs, for customs.
The ENTRANCE partners combine a range of expertise as briefly described below:
Practitioners: Ministry of Finance, Croatia, Financial Directorate of the Slovak Republic, National Customs Agency of Bulgaria, Belgian Customs and Excise and the Ministry of Interior, Croatia are Border Guards Authorities or Customs Authorities. Practitioners with expertise on customs’ requirements and challenges related to container inspection at Border Control Points
Experts: Joint Research Center, Center for the Study of Democracy and Michael Doherty Customs and Border Security Services all have expertise in technology assessment, practitioner requirements, ethical and sociological issues
Service provider: ARTTIC handles both the project management and communication and dissemination activities to ensure that the project results deliver a strong impact to relevant stakeholders
ETC Soft Sp. z o.o. is a Polish technology company implementing projects in the area of IT, development and data engineering, machine learning (ML), natural language processing (NLP) and artificial intelligence (AI). Our dedicated R&D Labs, always on top of industry trends, accesses even routine software projects granted to us in order to recommend to our clients new technologies that will secure them the highest ROI.
In ENTRANCE, ETC will contribute on software architecture, software development and algorithmic optimisation on GPU. Its main role will be to implement in collaboration with Smiths Detection the different requirement of the ENARTIS platform. Based on the existing structure of Corsys, ETC will set-up the platform, will structure it such as new data sources can be integrated in, will contribute to define how to enrich UFF 2.0 for including new NII technics and will contribute to the optimisation of ATR deep learning algorithms required for having them running on the ENARTIS platform.