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Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces
Stand-off detection of latent traces avoids the scene alteration that might occur during close inspection by handheld forensic lights. Here, we describe a novel sensor, named Crime Light Imaging (CLI), designed to perform high-resolution photography of targets at a distance of 2–10 m and to visualiz...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536661/ https://www.ncbi.nlm.nih.gov/pubmed/37765793 http://dx.doi.org/10.3390/s23187736 |
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author | Chiuri, Andrea Chirico, Roberto Angelini, Federico Andreoli, Fabrizio Menicucci, Ivano Nuvoli, Marcello Cano-Trujillo, Cristina Montalvo, Gemma Lazic, Violeta |
author_facet | Chiuri, Andrea Chirico, Roberto Angelini, Federico Andreoli, Fabrizio Menicucci, Ivano Nuvoli, Marcello Cano-Trujillo, Cristina Montalvo, Gemma Lazic, Violeta |
author_sort | Chiuri, Andrea |
collection | PubMed |
description | Stand-off detection of latent traces avoids the scene alteration that might occur during close inspection by handheld forensic lights. Here, we describe a novel sensor, named Crime Light Imaging (CLI), designed to perform high-resolution photography of targets at a distance of 2–10 m and to visualize some common latent traces. CLI is based on four high-power illumination LEDs and one color CMOS camera with a motorized objective plus frontal filters; the LEDs and camera could be synchronized to obtain short-exposure images weakly dependent on the ambient light. The sensor is integrated into a motorized platform, providing the target scanning and necessary information for 3D scene reconstruction. The whole system is portable and equipped with a user-friendly interface. The preliminary tests of CLI on fingerprints at distance of 7 m showed an excellent image resolution and drastic contrast enhancement under green LED light. At the same distance, a small (1 µL) blood droplet on black tissue was captured by CLI under NIR LED, while a trace from 15 µL semen on white cotton became visible under UV LED illumination. These results represent the first demonstration of true stand-off photography of latent traces, thus opening the way for a completely new approach in crime scene forensic examination. |
format | Online Article Text |
id | pubmed-10536661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105366612023-09-29 Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces Chiuri, Andrea Chirico, Roberto Angelini, Federico Andreoli, Fabrizio Menicucci, Ivano Nuvoli, Marcello Cano-Trujillo, Cristina Montalvo, Gemma Lazic, Violeta Sensors (Basel) Article Stand-off detection of latent traces avoids the scene alteration that might occur during close inspection by handheld forensic lights. Here, we describe a novel sensor, named Crime Light Imaging (CLI), designed to perform high-resolution photography of targets at a distance of 2–10 m and to visualize some common latent traces. CLI is based on four high-power illumination LEDs and one color CMOS camera with a motorized objective plus frontal filters; the LEDs and camera could be synchronized to obtain short-exposure images weakly dependent on the ambient light. The sensor is integrated into a motorized platform, providing the target scanning and necessary information for 3D scene reconstruction. The whole system is portable and equipped with a user-friendly interface. The preliminary tests of CLI on fingerprints at distance of 7 m showed an excellent image resolution and drastic contrast enhancement under green LED light. At the same distance, a small (1 µL) blood droplet on black tissue was captured by CLI under NIR LED, while a trace from 15 µL semen on white cotton became visible under UV LED illumination. These results represent the first demonstration of true stand-off photography of latent traces, thus opening the way for a completely new approach in crime scene forensic examination. MDPI 2023-09-07 /pmc/articles/PMC10536661/ /pubmed/37765793 http://dx.doi.org/10.3390/s23187736 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chiuri, Andrea Chirico, Roberto Angelini, Federico Andreoli, Fabrizio Menicucci, Ivano Nuvoli, Marcello Cano-Trujillo, Cristina Montalvo, Gemma Lazic, Violeta Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces |
title | Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces |
title_full | Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces |
title_fullStr | Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces |
title_full_unstemmed | Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces |
title_short | Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces |
title_sort | crime light imaging (cli): a novel sensor for stand-off detection and localization of forensic traces |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536661/ https://www.ncbi.nlm.nih.gov/pubmed/37765793 http://dx.doi.org/10.3390/s23187736 |
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