With the increased reliance on new and rapidly evolving technologies to commit and facilitate crime, law enforcement agencies (LEA) must keep pace with the constant technological developments to stay ahead of criminals and maintain a safe environment. The ROXANNE advanced technical platform aims to enhance the quality of investigative work in tracking and identifying criminals by developing an innovative solution that combines speech, text and video data analysis with the analysis of organized crime networks. To be effective and lawfully implemented, such innovative police technologies must be part of an appropriate legal framework based on the principle of law, fundamental human rights and other applicable legislation ( Often innovative fields, such as data analysis for law enforcement purposes and the use of novel analytical methods, are subject to legal uncertainty due to outdated legal texts or insufficient guidance from legislators, be it domestic or regional)
Criminals often employ sophisticated technologies in planning and executing their illegal activities, as well as concealing the revenues stemming from them. Suppressing organized crime remains an important but challenging task for Law Enforcement Agencies (LEAs) for several reasons. In this context, visualisation plays a key role in augmenting the human analysis and providing context to the analyst.
Maximizing the speed of investigations is one of the key factors in the presence of dynamically changing and technologically savvy organized criminals. A number of automated network analysis methods were developed in the past that can be borrowed to help investigators to identify key players, paths and relations within the resulting networks in order to analyse the development of the network, find effective strategies toward its destabilisation or disruption and overall to increase investigation effectiveness.
For law enforcement agencies (LEAs) to keep up in this new environment, they must change their approach to criminal investigations as relying mainly on physical evidence and witness statements is no longer sufficient in many cases. Training in research-based investigative procedures and access to related tools and resources can help law enforcement officers carry out successful investigations. It can help LEAs solve cases more swiftly and even prevent crimes in some cases.
A combination of “synchronous” and “asynchronous” modes can be adopted for WbT instructions. This blog discusses various possibilities around the same.
The ROXANNE project has a principal objective to enhance the LEAs’ efforts to discover criminal networks and identify their members. It has capitalised on certain aspects of AI technologies. Speech and language technologies (SLTs), visual analysis (VA) and network analysis (NA) will become the basis of ROXANNE platform, which will enhance criminal network analysis capabilities by providing a framework for extracting evidence and actionable intelligence.
Airbus has designed its Multi-source and Multi-media analysis solution through the Concept of Generic Architecture which enables the regrouping of multimedia processing software products and presenting them in different possible configurations, based on one common and generic architecture.
This blog discusses various aspects of communication, exploitation and dissemination related to this project.
The project kick-off meeting was held at Idiap Research Institute, in Martigny Switzerland, on 3-4 September 2019.
Legally compliant state-of-the-art capabilities to fight and prevent transnational crimes
