Deep Learning Advances Automotive Clearcoat Forensics for Hit-and-Run Cases
January 20, 2026
January 20, 2026
WASHINGTON, Jan. 20 (TNSLrpt) -- Oklahoma State University's final research report, funded by a $194,000 U.S. Department of Justice NIJ grant (15PNIJ-21-GG-04182-RESS) and led by Principal Investigator Barry K. Lavine, demonstrates deep learning via four-layer artificial neural networks (ANNs) to identify vehicle manufacturers from FTIR mid-infrared spectra of OEM automotive clearcoats--the sole paint layer often recovered at hit-and-run scenes. Released January 2026, the study analyzed 2,7 . . .