Paint analysis
The Evaluation of the Joint Value of Paint and Toolmark Evidence Using Bayesian Networks
This event brought together practitioners and researchers to enhance information-sharing and promote collaboration among the impression, pattern, and trace evidence analysts, law enforcement, and legal communities.
The symposium was presented by the NIJ Forensic Technology Center of Excellence January 22-25, 2018.
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Development of Infrared Library Search Prefilters for Automotive Clear Coats from Simulated ATR Spectra
This event brought together practitioners and researchers to enhance information-sharing and promote collaboration among the impression, pattern, and trace evidence analysts, law enforcement, and legal communities.
The symposium was presented by the NIJ Forensic Technology Center of Excellence January 22-25, 2018.
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Attenuated Total Reflection Infrared Microscopy and Charpy Impact Tester for Analysis of Automotive Paint Smears
This event brought together practitioners and researchers to enhance information-sharing and promote collaboration among the impression, pattern, and trace evidence analysts, law enforcement, and legal communities.
The symposium was presented by the NIJ Forensic Technology Center of Excellence January 22-25, 2018.
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Forensic Analysis of Automobile Paint Layers on Plastic Substrates Using Chemical uFTIR
Welcome to our virtual poster session! The Forensic Technology Center of Excellence (FTCoE) would like to highlight student research in the forensic sciences! The FTCoE is grateful for all the universities, faculty, and students who took the time to prepare poster presentations for submission to this year’s event. We recognize your hard work, and we are here to celebrate and learn from your research.
This webinar was presented by the NIJ Forensic Technology Center of Excellence on September 22, 2022.
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Identifying an Unknown Paint System Using the RCMP PDQ Program
Using a typical OEM paint system, the PDQ Maintenance Team will walk through the best practices to efficiently use the database and spectral libraries to identify the most likely source of an unknown paint system. Details gathered from this process include manufacturing plant, year range, and models.
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