SPIRIT – Scalable privacy preserving intelligence analysis for resolving identities

The SPIRIT project will take a novel approach in the development, testing, training and evaluation of a new scalable privacy preserving intelligence analysis for a resolving identities system prototype.

It will deliver a set of tools for the acquisition, analysis, modelling and visualisation of multimodal, multilingual and multimedia data (text, audio, video, image contents from closed and open sources, including the surface web, the deep web/dark nets and online social networks). The result is a platform that allows to create social graphs of heterogeneous named-entity relationships and to perform social and criminal network analysis. The SPIRIT toolbox will be developed under consideration of privacy by design concepts assisting LEAs in unravelling the hitherto complex world of identity resolution (is person A the same as person B) and will be transparent and ethically controlled.

Responsibilities of Fraunhofer IDMT

As a technical research partner and the lead of WP4  "Social Graph Construction" Fraunhofer IDMT is responsible for audio, image and video analytics and mining. Furthermore Fraunhofer IDMT supports the requirement analysis, system design and integration.


  • Nydor System Technologies, Greece
  • A E Solutions (BI) Ltd, UK
  • Innova Intregra, UK
  • London Metropolitan University, UK
  • Universitat Autònoma de Barcelona, Spain
  • Lutech SpA, Italy
  • Linköping University, Sweden
  • CEPIC Centro Europeo di Psicologia Investigazione e Criminologia, Italy
  • Stad Antwerpen, Belgium
  • Wyższa Szkoła Policji w Szczytnie, Poland
  • West Midlands Police, UK
  • Warwickshire Police, UK
  • Ministarstvo unutrašnjih poslova Republike Srbije, Serbia
  • Hellenic Police, Greece
  • Live S.r.l., Italy


This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 786993.


2018 – 2021