Summary
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.
-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.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/883116 |
| Start date: | 01-07-2020 |
| End date: | 31-12-2024 |
| Total budget - Public funding: | 6 995 876,00 Euro - 6 995 876,00 Euro |
Cordis data
Original description
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.
Status
SIGNEDCall topic
SU-FCT02-2018-2019-2020Update Date
27-10-2022
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H2020-EU.3.7.1. Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
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Organisations
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| ENEA - Italian National Agency for New Technologies, Energy and Sustainable Economic Development (Coördinator)
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| CONSIGLIO NAZIONALE DELLE RICERCHE (CNR)
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| CONSORZIO CREO-CENTRO RICERCHE ELETTRO OTTICHE
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| DIN DEUTSCHES INSTITUT FUER NORMUNG E.V.
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| FORSVARETS FORSKNINGINSTITUTT
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| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
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| HELLENIC POLICE
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| KENTRO MELETON ASFALEIAS
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| MASA TECH S.R.O.
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| MINISTERO DELLA DIFESA
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| Ministério da Justiça
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| Netherlands Forensic Institute
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| PARTICLE SUMMARY
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| POLISMYNDIGHETEN SWEDISH POLICE AUTHORITY
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| POLITIDIREKTORATET