DOAJ Open Access 2023

Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces

Andrea Chiuri Roberto Chirico Federico Angelini Fabrizio Andreoli Ivano Menicucci +4 lainnya

Abstrak

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.

Topik & Kata Kunci

Penulis (9)

A

Andrea Chiuri

R

Roberto Chirico

F

Federico Angelini

F

Fabrizio Andreoli

I

Ivano Menicucci

M

Marcello Nuvoli

C

Cristina Cano-Trujillo

G

Gemma Montalvo

V

Violeta Lazic

Format Sitasi

Chiuri, A., Chirico, R., Angelini, F., Andreoli, F., Menicucci, I., Nuvoli, M. et al. (2023). Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces. https://doi.org/10.3390/s23187736

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Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.3390/s23187736
Akses
Open Access ✓