Virtual Reality for CSI Training

Philip Engström; Bartłomiej Jankiewicz; Roberto Chirico; Johannes Peltola; Petri Honkamaa; Giuliano Iacobellis

doi:10.1117/12.2664217

Virtual Reality for CSI Training

Philip Engström^*, Bartłomiej Jankiewicz, Roberto Chirico, Johannes Peltola, Petri Honkamaa, Giuliano Iacobellis

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

The EU-funded project, Real-Time On-Site Forensic Trace Qualification (RISEN) aims to enable the use of advanced sensors in the field in order to get results in near real-time. The project also aims to visualize the data by innovative means, such as in virtual reality (VR). The Swedish National Forensic Centre, NFC, has been developing methods for 3D modeling of crime scenes since 2016, and have conducted several studies in the use of VR for CSI application. This paper describes the status and possibilities with VR for CSI training and how the results from the RISEN project can be utilized within forensic training.

Original language	English
Title of host publication	Multimodal Image Exploitation and Learning 2023
Editors	Sos S. Agaian, Vijayan K. Asari, Stephen P. DelMarco
Publisher	International Society for Optics and Photonics SPIE
Number of pages	9
ISBN (Electronic)	9781510661660
DOIs	https://doi.org/10.1117/12.2664217
Publication status	Published - 2023
MoE publication type	A4 Article in a conference publication
Event	Multimodal Image Exploitation and Learning 2023 - Orlando, United States Duration: 30 Apr 2023 → 5 May 2023

Publication series

Series	Proceedings of SPIE
Volume	12526
ISSN	0277-786X

Conference

Conference	Multimodal Image Exploitation and Learning 2023
Country/Territory	United States
City	Orlando
Period	30/04/23 → 5/05/23

Funding

In 2019 the Swedish Police joined a consortium planning a proposal for a Horizon 2020 call with the name RISEN, short for “Real-tIme on-site forenSic tracE qualificatioN”. The project received funding from the European Union and started the first of July 2020 and will continue until the end of 2024. The aim of the RISEN project is to develop a set of rapid, contactless sensors and an Augmented Crime Scene Investigation system. The system aims for the optimization of trace identification, classification and interpretation on site. One part of the solution is new sensor technologies for facilitating crime scene investigation on-site. Another is a 3D reconstruction and positioning tool to reconstruct the crime scene and map all the sensor measurements onto this reconstruction. Sensor data fused together with the RISEN 3D Augmented Crime Scene Investigation system will allow for increased analysis of traces while reducing laboratory activities for further analysis, faster information exchange, and digitalization of documentation and the chain of custody. This research has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 883116.

Keywords

CSI training
Police
Sensors
Virtual Reality
VR

Access to Document

10.1117/12.2664217

Cite this

@inproceedings{9d5097dc9c6343ed922edca6739d929d,

title = "Virtual Reality for CSI Training",

abstract = "The EU-funded project, Real-Time On-Site Forensic Trace Qualification (RISEN) aims to enable the use of advanced sensors in the field in order to get results in near real-time. The project also aims to visualize the data by innovative means, such as in virtual reality (VR). The Swedish National Forensic Centre, NFC, has been developing methods for 3D modeling of crime scenes since 2016, and have conducted several studies in the use of VR for CSI application. This paper describes the status and possibilities with VR for CSI training and how the results from the RISEN project can be utilized within forensic training.",

keywords = "CSI training, Police, Sensors, Virtual Reality, VR",

author = "Philip Engstr{\"o}m and Bart{\l}omiej Jankiewicz and Roberto Chirico and Johannes Peltola and Petri Honkamaa and Giuliano Iacobellis",

note = "Funding Information: In 2019 the Swedish Police joined a consortium planning a proposal for a Horizon 2020 call with the name RISEN, short for “Real-tIme on-site forenSic tracE qualificatioN”. The project received funding from the European Union and started the first of July 2020 and will continue until the end of 2024. The aim of the RISEN project is to develop a set of rapid, contactless sensors and an Augmented Crime Scene Investigation system. The system aims for the optimization of trace identification, classification and interpretation on site. One part of the solution is new sensor technologies for facilitating crime scene investigation on-site. Another is a 3D reconstruction and positioning tool to reconstruct the crime scene and map all the sensor measurements onto this reconstruction. Sensor data fused together with the RISEN 3D Augmented Crime Scene Investigation system will allow for increased analysis of traces while reducing laboratory activities for further analysis, faster information exchange, and digitalization of documentation and the chain of custody. Funding Information: This research has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation program under grant agreement No 883116. Publisher Copyright: {\textcopyright} 2023 SPIE.; Multimodal Image Exploitation and Learning 2023 ; Conference date: 30-04-2023 Through 05-05-2023",

year = "2023",

doi = "10.1117/12.2664217",

language = "English",

series = "Proceedings of SPIE",

publisher = "International Society for Optics and Photonics SPIE",

editor = "Agaian, {Sos S.} and Asari, {Vijayan K.} and DelMarco, {Stephen P.}",

booktitle = "Multimodal Image Exploitation and Learning 2023",

address = "United States",

}

Engström, P, Jankiewicz, B, Chirico, R, Peltola, J , Honkamaa, P & Iacobellis, G 2023, Virtual Reality for CSI Training. in SS Agaian, VK Asari & SP DelMarco (eds), Multimodal Image Exploitation and Learning 2023., 125260A, International Society for Optics and Photonics SPIE, Proceedings of SPIE, vol. 12526, Multimodal Image Exploitation and Learning 2023, Orlando, Florida, United States, 30/04/23. https://doi.org/10.1117/12.2664217

Virtual Reality for CSI Training. / Engström, Philip; Jankiewicz, Bartłomiej; Chirico, Roberto et al.
Multimodal Image Exploitation and Learning 2023. ed. / Sos S. Agaian; Vijayan K. Asari; Stephen P. DelMarco. International Society for Optics and Photonics SPIE, 2023. 125260A (Proceedings of SPIE, Vol. 12526).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Virtual Reality for CSI Training

AU - Engström, Philip

AU - Jankiewicz, Bartłomiej

AU - Chirico, Roberto

AU - Peltola, Johannes

AU - Honkamaa, Petri

AU - Iacobellis, Giuliano

N1 - Funding Information: In 2019 the Swedish Police joined a consortium planning a proposal for a Horizon 2020 call with the name RISEN, short for “Real-tIme on-site forenSic tracE qualificatioN”. The project received funding from the European Union and started the first of July 2020 and will continue until the end of 2024. The aim of the RISEN project is to develop a set of rapid, contactless sensors and an Augmented Crime Scene Investigation system. The system aims for the optimization of trace identification, classification and interpretation on site. One part of the solution is new sensor technologies for facilitating crime scene investigation on-site. Another is a 3D reconstruction and positioning tool to reconstruct the crime scene and map all the sensor measurements onto this reconstruction. Sensor data fused together with the RISEN 3D Augmented Crime Scene Investigation system will allow for increased analysis of traces while reducing laboratory activities for further analysis, faster information exchange, and digitalization of documentation and the chain of custody. Funding Information: This research has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 883116. Publisher Copyright: © 2023 SPIE.

PY - 2023

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N2 - The EU-funded project, Real-Time On-Site Forensic Trace Qualification (RISEN) aims to enable the use of advanced sensors in the field in order to get results in near real-time. The project also aims to visualize the data by innovative means, such as in virtual reality (VR). The Swedish National Forensic Centre, NFC, has been developing methods for 3D modeling of crime scenes since 2016, and have conducted several studies in the use of VR for CSI application. This paper describes the status and possibilities with VR for CSI training and how the results from the RISEN project can be utilized within forensic training.

AB - The EU-funded project, Real-Time On-Site Forensic Trace Qualification (RISEN) aims to enable the use of advanced sensors in the field in order to get results in near real-time. The project also aims to visualize the data by innovative means, such as in virtual reality (VR). The Swedish National Forensic Centre, NFC, has been developing methods for 3D modeling of crime scenes since 2016, and have conducted several studies in the use of VR for CSI application. This paper describes the status and possibilities with VR for CSI training and how the results from the RISEN project can be utilized within forensic training.

KW - CSI training

KW - Police

KW - Sensors

KW - Virtual Reality

KW - VR

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DO - 10.1117/12.2664217

M3 - Conference article in proceedings

AN - SCOPUS:85171587078

T3 - Proceedings of SPIE

BT - Multimodal Image Exploitation and Learning 2023

A2 - Agaian, Sos S.

A2 - Asari, Vijayan K.

A2 - DelMarco, Stephen P.

PB - International Society for Optics and Photonics SPIE

T2 - Multimodal Image Exploitation and Learning 2023

Y2 - 30 April 2023 through 5 May 2023

ER -

Virtual Reality for CSI Training

Abstract

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Funding

Keywords

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