Project description
Optimising crime scene investigations with real-time, on-site forensic examinations
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 important forensic information. The aim of the EU-funded RISEN project is the development of a set of real-time contactless sensors for the optimisation of trace detection, visualisation, identification and interpretation on site. Data will be processed in real time 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 analytical results. The identified traces will be digitally marked and inventoried and a digitalised chain of custody will be established.
Objective
While time is an important factor for successful outcome of the crime investigation, the traditional forensic examinations are usually time consuming. It can be very 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 aim of the RISEN project is the development of a set of real-time contactless sensors for the optimization of the trace, detection, visualisation, identification and interpretation on site, with a consequent reduction of the time and resources in the laboratory, and for a fast exchange of information among LEAs. The new proposed approach could be applied to the classical forensic investigations and to disaster sites, e.g. after a terrorist attack. The objectives of the RISEN project will be obtained by:
-Developing and demonstrating contactless, non-destructive, automated sensors to identify, select and label trace materials;
-Processing and sending in real-time acquired in-situ data 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.
The recreated 3D model of the scene resorts to augmented reality techniques for sensor data, collected evidence and identified points of interest in order to deliver a realistic and immersive visual environment for investigators, allowing them to conduct highly detailed investigations. The crime scenes, with analytical information from traces, will be digitally frozen 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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciencespolitical sciencespolitical transitionsterrorism
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- medical and health sciencesother medical sciencesforensic sciences
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
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Programme(s)
- H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens Main Programme
- H2020-EU.3.7.1. - Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
- H2020-EU.3.7.8. - Support the Union's external security policies including through conflict prevention and peace-building
Call for proposal
(opens in new window) H2020-SU-SEC-2018-2019-2020
See other projects for this callSub call
H2020-SU-SEC-2019
Funding Scheme
RIA - Research and Innovation actionCoordinator
00196 Roma
Italy
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Participants (20)
00187 Rome
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10177 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
101 77 Athens
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80686 Munchen
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00 908 Warszawa
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24129 Bergamo
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28801 Alcala De Henares/Madrid
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67100 L'Aquila
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
00185 Roma
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1500 618 Lisbon
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
02150 Espoo
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2027 Kjeller
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10787 Berlin
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1149-019 Lisboa
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D-68723 Schwetzingen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
0369 Oslo
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2490 AA The Hague
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10226 Stockholm
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91601 Stara Tura
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1013 Riga
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