Prediction and Visual Intelligence for Security Information

PREVISION Platform Architecture


of PREVISION is to support law enforcement agencies in the collection and analysis of large, heterogeneous data sets using modern artificial intelligence methods. The resulting improvement in the prevention and investigation of crimes in the area of organized crime contributes to increasing public security.


Ensuring public security presents law enforcement agencies with the challenge of collecting and analyzing increasingly large amounts of data. Specifically, this involves text and message formats such as witness statements, emails, or social network posts but also images, videos, telecommunications and traffic data, and several others. In particular, data that is generated by machines, such as videos from surveillance cameras, accumulates in such large masses that a comprehensive evaluation is only possible with machine support. PREVISION aims to provide the necessary technical tools for this purpose in close cooperation with law enforcement agencies.

Solution approach

In PREVISION, ten institutions with police and legal backgrounds, such as law enforcement agencies focusing on counter-terrorism or personal protection, police authorities, police schools, ethics experts and sociologists, are working together with eighteen project partners with technical expertise, including universities, research centers and software companies, in an interdisciplinary consortium from thirteen European countries.

Based on five selected deployment scenarios from the application areas of counterterrorism, white-collar crime, and art smuggling, the project will first identify the need for solutions, specify technical requirements, concretize ethical and legal guidelines, and discuss the impact of crime and crime-fighting methods on society.

Based on this, established algorithms of text, image and audio processing will be tailored to the respective use case as well as existing methods of artificial intelligence will be further developed. A core objective of the research project is the semantic merging of manually and machine-derived facts in an ontology-based knowledge model. By using methods of data classification, machine reasoning and data clustering, information hidden in the data stock can be revealed and temporal trends for the development of threads can be derived.


A special challenge is the conception of the functionality described above in a modular, standardizable and thus future-proof architecture with open interfaces, which favors the emergence of a new market for surveillance technologies.

Project Developments


  • 4.10.2021 – JRC Presentation:
    PREVISION is presented to members of the Joint Research Centre.
  • 20.09.2021 to 15.10.2021 – Use Case Demonstrations:
    The capabilities of the PREVISION platform are demonstrated on the basis of five use case scenarios designed by the LEAs within the project consortium. The presentations are given online as well as in presence at Bilbao, Toulon, and the French Musée d’Archéologie Nationale in Saint-Germain-en-Laye.
  • 15.07.2021 – First Platform Prototype:
    The first prototype of the PREVISION platform is presented to the project consortium. The LEAs, which are part of the project consortium, give feedback to be considered in future development cycles.
  • 5.07.2021 – EAB Meeting on Risk Assessment:
    The PREVISION consortium consults the external advisory board on ethical, societal and data protection questions related to the semi-automatic PREVISION radicalization detection tools.
  • 24.03.2021 – iLEAD Research Day:
    The PREVISION project is presented at the iLEAD Research Day. Other attendees are members of the projects LOCARD, MAGNETO, DARLENE, ANITA, ROXANNE, as well as the Netherlands Forensic Institute and the Austrian Institute of Technology.
  • 17.02.2021 – Presentation to Europol:
    The PREVISION project is presented to members of Europol.


  • 14.12.2020 to 01.10.2021 – Ontology Standardization:
    Several meetings are held and information is exchanged between PREVISION and the projects COPKIT, ANITA, GRACE, AIDA, and INSPECTr in order to combine the ontologies developed in these and other projects as well as the Universal Message Format (UMF) and define a common standard.
  • 28.09.2020 – 1st Review:
    PREVISION is presented to reviewers from the research executive agency for the first time. The technical capabilities of individual platform components as well as the measures put into place to comply with ethical, societal and data protection standards satisfy the expectations of the jury.
  • 21.07.2020 – 1st EAB Meeting:
    The PREVISION project is presented to its external advisory board for the first time.
  • 24.06.2020 – CoU Workshop with DG HOME Policy Units:
    Members of the PREVISION consortium take part in the CoU Workshop organized by the European Commission. The subject of the workshop is the interoperability of several security platforms.

German project partners

  • Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB
  • Hochschule für den öffentlichen Dienst Bayern (University for the public service in Bavaria)
  • Polizeipräsidium München (Police headquarters in Munich)
  • Institut für musterbasierte Prognosetechnik, Oberhausen (Institute for pattern-based forecasting in Oberhausen)


Department IAS of Fraunhofer IOSB

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Project details

PREVISION - Prediction and Visual Intelligence for Security Information

Project duration: 9/2019-9/2021

28 project partners

Supported by funds from the EU research and innovation program Horizon 2020, grant agreement no. 833115