Description
Traditional forensic examinations are usually time consuming which can be problematic when investigations are underway and quick results are needed. Traces must be detected on-site as soon as possible before they degrade and loose forensic information important for criminal investigation. Based on the results of the FORLAB project, the RISEN project will develop a set of real-time contactless sensors for the optimization of the trace, detection, visualisation, identification and interpretation on site.
Main objective
The aim of RISEN project will be to develop and demonstrate contactless, non-destructive, automated sensors to identify, select and label trace materials. Data will be acquired in-situ and in real-time, processed and sent to a 3D augmented crime scene investigation system to produce an interactive 3D model of the scene with position and labelling of traces and relative results of the on-site analysis, to be available at any time for several purposes in the criminal justice system. The identified traces will be digitally marked and inventoried, and a digitalised chain of custody will be established in real-time implementing mechanisms that assure data integrity over its lifecycle.
Updated project results can be found here
Coordinator: Agenzia Nazionale per le nuove tecnologie, l'Energia e lo sviluppo economico sostenibile (ENEA)
Partners: Consorzio CREO Centro Ricerche Elettro Ottiche, Consiglio Nazionale Delle Ricerche (Third Party), Din Deutsches Institut Fuer Normung Ev, Forsvarets Forskninginstitutt, Fraunhofer Gesellschaft Zur Forderung der Angewandten Forschung Ev, Hellenic Police, Kentro Meleton Asfaleias, Masa Tech S.r.o., Ministério da Justiça, Ministero della Difesa, Netherlands Forensic Institute, Particle Summary, Polismyndigheten Swedish Police Authority, Politidirektoratet, Teknologian Tutkimuskeskus Vtt Oy, Universidad de Alcala, Universita' degli Studi di Bergamo, Valsts Tiesu Ekspertizu Birojs, Von Hoerner & Sulger Gmbh, Wojskowa Akademia Techniczna im Jaroslawa Dabrowskiego
IMM Contact person: Stefano Zampolli
Funder under: European Commission H2020
