SBIR-STTR Award

Development, Validation, and Implementation of CMC Algorithm into a Software Platform for Firearm Analysis
Award last edited on: 11/8/2017

Sponsored Program
SBIR
Awarding Agency
DOC : NIST
Total Award Amount
$391,500
Award Phase
2
Solicitation Topic Code
N/A
Principal Investigator
Ryan Lilien

Company Information

Cadre Research Labs

63 West Erie Street Suite 250
Chicago, IL 60654
   (508) 443-1275
   N/A
   www.cadreresearch.com
Location: Single
Congr. District: 07
County: Cook

Phase I

Contract Number: 70NANB17H227
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
2017
Phase I Amount
$92,100
The research involves implementation of a comparison algorithm for firearm forensics. The Congruent Matching Cells (CMC) algorithm has been developed by NIST yet does not appear in any commercially available software. As requested in the call for proposals, we will implement the algorithm in the C++ programming language and validate CMC using two specified datasets. In addition, we will incorporate the CMC method into our already commercially available software for firearm analysis. Our software implements import, visualization, masking, database, and search functionality. In addition to the two specified datasets we will also evaluate CMC against two additional, larger, real-world datasets. We will also explore slight algorithm variants whereby CMC algorithm parameters can be adjusted (e.g., number/size of grid cells and the CCF, angle, and translation thresholds). Overall, we will advance the CMC method with real-world testing and will incorporate CMC into a fully functional software application ready for deployment to crime labs.

Phase II

Contract Number: 70NANB18H176
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
2018
Phase II Amount
$299,400
The research involves implementation of a comparison algorithm for firearm forensics. The Congruent Matching Cells (CMC) algorithm and its associated CMF, CMPS, and CMX methods have been developed by NIST yet do not appear in any commercially available software. As requested in the call for proposals, we will implement the algorithms in the C++ programming language, we will validate their performance, we will develop similarity visualization modes, and we will develop a statistical scoring model. Across all aims we will evaluate performance using what is to our knowledge the largest set of 3D surface topography data of firearms evidence. The result of this Phase II work will be a great enhancement of our TopMatch software which implements import, visualization, masking, database, and search functionality. Most importantly the TopMatch software is already deployed and in use at a number of crime labs. Therefore, the NIST methods would get immediate distribution. Overall, we will advance the NIST developed CMC-Family of methods with realworld testing and will incorporate these methods into TopMatch, a fully functional software application that has already been deployed to crime labs.