Discrimination of 1990s Original Automotive Paint Systems: A Collaborative Study of Black Nonmetallic Base Coat/Clear Coat Finishes Using Infrared Spectroscopy

2001 ◽  
Vol 46 (1) ◽  
pp. 14908J ◽  
Author(s):  
Scott Ryland ◽  
Gregory Bishea ◽  
Leanora Brun-Conti ◽  
Michael Eyring ◽  
Beth Flanagan ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Collaborative Study ◽  
Clear Coat ◽  
Paint Systems ◽  
Automotive Paint

scholarly journals Library Search Prefilters for Vehicle Manufacturers to Assist in the Forensic Examination of Automotive Paints

2017 ◽  
Vol 72 (3) ◽  
pp. 476-488 ◽  
Author(s):  
Barry K. Lavine ◽  
Collin G. White ◽  
Tao Ding
Keyword(s):  
Pattern Recognition ◽  
Ir Spectra ◽  
General Motors ◽  
Discrete Wavelet ◽  
Vehicle Manufacturer ◽  
Clear Coat ◽  
Discrimination Power ◽  
Paint Systems ◽  
Automotive Paint ◽  
Spectral Libraries

Pattern recognition techniques have been applied to the infrared (IR) spectral libraries of the Paint Data Query (PDQ) database to differentiate between nonidentical but similar IR spectra of automotive paints. To tackle the problem of library searching, search prefilters were developed to identify the vehicle make from IR spectra of the clear coat, surfacer–primer, and e-coat layers. To develop these search prefilters with the appropriate degree of accuracy, IR spectra from the PDQ database were preprocessed using the discrete wavelet transform to enhance subtle but significant features in the IR spectral data. Wavelet coefficients characteristic of vehicle make were identified using a genetic algorithm for pattern recognition and feature selection. Search prefilters to identify automotive manufacturer through IR spectra obtained from a paint chip recovered at a crime scene were developed using 1596 original manufacturer’s paint systems spanning six makes (General Motors, Chrysler, Ford, Honda, Nissan, and Toyota) within a limited production year range (2000–2006). Search prefilters for vehicle manufacturer that were developed as part of this study were successfully validated using IR spectra obtained directly from the PDQ database. Information obtained from these search prefilters can serve to quantify the discrimination power of original automotive paint encountered in casework and further efforts to succinctly communicate trace evidential significance to the courts.

The Classification of Automotive Paint Primers using Infrared Spectroscopy—A Collaborative Study

1983 ◽  
Vol 16 (4) ◽  
pp. 163-173 ◽  
Author(s):  
E.W.W. Norman ◽  
R. Cameron ◽  
L.J. Cartwright ◽  
N.S. Cartwright ◽  
W.H. Clark ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Collaborative Study ◽  
Automotive Paint

Pyrolysis-Gas Chromatographic Techniques for the Analysis of Automobile Finishes: Collaborative Study

1976 ◽  
Vol 59 (1) ◽  
pp. 35-41 ◽  
Author(s):  
William D Stewart
Keyword(s):  
Mass Spectrometry ◽  
Infrared Spectroscopy ◽  
Collaborative Study ◽  
Pyrolysis Gas ◽  
Analytical Technique ◽  
Organic Vehicle ◽  
Unknown Sample ◽  
Chromatographic Techniques ◽  
Methods Of Analysis

Abstract Samples of 7 automobile topcoats currently used by the major American automobile manufacturers were analyzed by various pyrolysis-gas chromatographic techniques. The samples were similar shades of white paint with small differences in the organic vehicle composition. The study involved analysis of the 7 samples and identification of an unknown sample chosen from the 7. A ninth chip was also included for determination of the reproducibility of the analytical technique. The samples were analyzed by other methods of analysis, including diamond cell infrared spectroscopy and mass spectrometry. Sample sizes from 4 to 200 μg were needed for the various methods of analysis and, in all cases, the unknown sample was correctly identified.

scholarly journals Search prefilters for mid-infrared absorbance spectra of clear coat automotive paint smears using stacked and linear classifiers

2014 ◽  
Vol 28 (5) ◽  
pp. 385-394 ◽  
Author(s):  
Barry K. Lavine ◽  
Ayuba Fasasi ◽  
Nikhil Mirjankar ◽  
Mark Sandercock ◽  
Steven D. Brown
Keyword(s):  
Clear Coat ◽  
Mid Infrared ◽  
Linear Classifiers ◽  
Automotive Paint ◽  
Absorbance Spectra
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