U.S. flag
      An official website of the United States government, Department of Justice.
        Here's how you know
      Here's how you know**Official websites use .gov**
            
            A **.gov** website belongs to an official government organization in the United States.
      **Secure .gov websites use HTTPS**
            
            A **lock** (
            A locked padlock
            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites. Menu

      
        close

            
            
                                              About NIJ
        
                    
  
          About NIJ
      
    
          The NIJ Director
          How NIJ Is Organized
          Mission and Guiding Principles
          Research and Development Process
          Strategic Framework
          Assessments of NIJ
          Annual Reports & Reports to Congress
          Staff Directory
          Funding & Awards
        
                    
  
          Funding & Awards
      
    
          Current Funding
          Forthcoming Funding
          Expired Funding
          Awards: Listing of Funded Projects
          Guidance for Applicants and Awardees
          Fellowship & Student Programs
          Travel Scholarships
          NIJ Challenge Program
          Library & Multimedia
        
                    
  
          Library & Multimedia
      
    
          NIJ Journal
          Podcasts
          Publications Listing
          Multimedia Listing
          Rated Practices on CrimeSolutions
          Rated Programs on CrimeSolutions
          Software & Databases
          Datasets
          Patents
          Topics
        
                    
  
          Topics
      
    
          Article Listing
          Corrections
          Courts
          Crime Prevention
          Crimes
          Drugs and Crime
          Equipment and Technology
          Forensic Sciences
          Youth Justice
          Justice System Reform
          Law Enforcement
          Tribal Crime and Justice
          Victims of Crime
          Events
        
                    
  
          Events
      
    
          NIJ 2024 Research Conference
          Scheduled Events
          On-Demand Events
          Research Meetings & Workshops
          NIJ-Hosted Online Training

                            
                                About
          Contact Us
          Subscribe
          Topics A-Z
                  Share
FacebookXLinkedInRedditPinterestEmail Home
                            Funding & Awards
 Deep Learning to Enhance Investigative Lead Information for Automotive Clear Coats
Award Information
Awardee
              OKLAHOMA STATE UNIVERSITY
Award #
              15PNIJ-21-GG-04182-RESS
Funding Category
              Competitive Discretionary
Location
                    STILLWATER, OK
Congressional District
              3
Status
              Open
Funding First Awarded
              2021
Total funding (to date)
              $196,373
Original Solicitation
              Research  and Development in Forensic Science for Criminal Justice Purposes, Fiscal Year 2021
Description of original award (Fiscal Year 2021, $196,373)
Currently, modern automotive paints consist of a thin undercoat and color coat layer protected by a thicker clear coat layer. All too often, a clear coat paint smear is the only layer of automotive paint left at the scene of a "hit-and-run" where damage to a vehicle and/or injury or death to a pedestrian has occurred. In these situations, searches of an automotive paint database such as PDQ database would generate thousands of hits as the coding in PDQ is generic and would lead to non-specific search criteria resulting in an extraordinarily large number of samples that a scientist must then work through and eliminate. Clear coat formulations are too similar for commercial library search algorithms to generate accurate hit lists by searching clear coat IR spectra alone. The inability of FTIR spectroscopy and the PDQ database to identify a vehicle from a clear coat paint smear using the text based searching system of PDQ or standard spectral library search algorithms is a significant limitation in the use of FTIR spectroscopy and forensic automotive paint databases to obtain information about the manufacturer, make, model, and production year of the vehicle from an automotive paint sample. To assess the evidential information content of the clear coat layer and improve upon our results of previously published studies on infrared library searching of automotive clear coats, we propose to develop a deep learning system using a convolutional neural network (CNN) to create a non-linear embedding of the data in a shared semantic feature space. The shared feature space can then be used by the neural networks for manufacturer classification, assembly plant classification, and for sample similarity matching. The CNN architecture will allow for a simultaneous optimization of and a transfer of learning between the different end components of the system. The shared feature space will make it easy to extend the architecture and is readily adaptable to new data and new domain knowledge. Although CNN training will be time consuming, the application of the resulting neural network is seamless and requires little in the way of computational resources. The output of deep learning classification will provide a conditional probability estimate. In addition, the shared embedded feature space can be used to create probability estimates using either nearest neighbor or Parzen window methods. Combining these two estimate will increase the confidence in and provide an understanding of the match.

  
Date Created: December 9, 2021
    
          Side navigation
  

        

  
  
              Current Funding
    
      
            
            
            
      Forthcoming Funding
    
      
            
            
            
      Expired Funding
    
      
            
            
            
      Awards: Listing of Funded Projects
    
      
            
            
            
      Guidance for Applicants and Awardees
    
      
            
            
            
      Fellowship & Student Programs
    
      
            
            
            
      Travel Scholarships
    
      
            
            
            
      NIJ Challenge ProgramSimilar Awards
        
                      Comparison of Examiner Conclusions with Score-based Likelihood Ratios for Cartridge Case Evidence
                  Experimental and numerical investigations for the development and validation of thermo-chemistry models and property databases for selected wall lining materials under fire exposure
                  Recovery and Analysis of Less Volatile Components for the Identification of Ignitable Liquid Residues in Fire Debris - Continuation of current NIJ-funded project (2020-DQ-BX-0003)
 Top

      National Institute of Justice

        
        
                        About NIJ
                    About NIJ
      
    
                  How NIJ Is Organized
      
    
                  NIJ Director
      
    
                  Research Disclaimer
      
    
                  Funding & Awards
                    Funding & Awards Home
      
    
                  Awards Listing
      
    
                  Current Funding
      
    
                  Guidance for Applicants and Awardees
      
    
                  Resources
                    Events
      
    
                  Podcasts
      
    
                  Publications
      
    
                  Topics
      
    
                  Multimedia
      
    
                  Reuse Policy
      
    
                  Contacts
                    Contact NIJ
      
    
                  Staff Directory
      
    
                  Submit a FOIA Request
      
    
                  File a Civil Rights ComplaintFacebook
          
                      X
          
                      YouTube
  

      810 7th St. NW, Washington, D.C. 20531
      
              Secondary Footer link menu
            Accessibility
              Plain Language
              Privacy Policy
              Legal Policies and Disclaimer
              No FEAR Act
              Freedom of Information Act
              USA.gov
              Justice.gov