Advanced Crime Scene Investigation Technologies
Join Marcin Kowalski, Ph.D., D.Sc., and the team at the Biometrics and AI Lab, Military University of Technology, in their proposal to enhance crime scene investigations with cutting-edge technologies including multispectral imaging, AI data processing, face analysis algorithms, and spectroscopy techniques. Project aims to improve transfer, persistence, and background abundance in forensic investigations. Contact Marcin Kowalski for more information.
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Presentation Transcript
PROvestigator SMI2G 2022, 16-17 May 2022, Brussels Marcin Kowalski, Ph. D., D. Sc. marcin.kowalski@wat.edu.pl Biometrics and AI lab, Military University of Technology (WAT) Role: WP leader, S/T provider Proposal activity: CL3-FCT-01-01 - Improved crime scene investigations related to transfer, persistence and background abundance 1 Marcin Kowalski, marcin.kowalski@wat.edu.pl
Proposal idea/content SMI2G 2022, 16-17 May 2022, Brussels Technologies we may offer: Multispectral (VIS/NIR/SWIR/Thermal infrared/THz) imaging for forensics purposes Data processing using AI techniques Algorithms for face analysis in VIS/NIR/SWIR/LWIR Fingerprint and fingerpad analysis techniques Spectroscopy techniques for trace analysis Others: Pilot/field tests organization Laboratories for testing Experience from past related projects (EU-funded and national) Cooperation with national LEAs/Border Authorities 2 Marcin Kowalski, marcin.kowalski@wat.edu.pl
Project participants SMI2G 2022, 16-17 May 2022, Brussels Existing consortium: Partners / Other participants: WAT WP leader/technology provider Police Authority available Forensic institute - tbc 3 Marcin Kowalski, marcin.kowalski@wat.edu.pl
Contact Information Marcin Kowalski, Ph. D., D. Sc. Head of biometrics and AI laboratory marcin.kowalski@wat.edu.pl Mobile: +48 608 732 357 Phone: +48 261 83 93 53 www.safe.wat.edu.pl Institute of Optoelectronics Military University of Technology gen. S. Kaliskiego 2 00-908 Warsaw Poland www.ioe.wat.edu.pl