Standoff-Biometric for Non-Cooperative Moving Subjects

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$70,000.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
W15P7T-11-C-A621
Agency Tracking Number:
A102-100-0124
Solicitation Year:
2010
Solicitation Topic Code:
A10-100
Solicitation Number:
2010.2
Small Business Information
Securics, Inc.
1867 Austin Bluffs Pkwy., Ste 200, Colorado Springs, CO, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
171897239
Principal Investigator:
Walter Scheirer
Director Research&Development
(719) 387-8660
wscheirer@securics.com
Business Contact:
ems Wittenburg
President
(719) 387-8660
jwittenburg@securics.com
Research Institution:
Stub




Abstract
Overall biometric system performance depends on data quality, the strength of the biometric matching algorithms, the compatibility of the data quality with the matching algorithms, and the overall quality of the integrated system. For long-range face image acquisition and processing for tactical biometrics, there are many issues to consider for these dependencies, both obvious and subtle. Our team has spent the previous decade working on this exact problem and brings to this effort the best research and technology available for tactical biometrics. Securics, Inc. is the industry leader in long-range facial biometrics. For this effort, we have partnered with Animetrics Inc., the leading developer of next-generation 2D-to-3D face recognition and face creation solutions. This proposed effort will focus on collecting high quality long-range biometric data from an integrated system perspective, and provide the most accurate 2D-to-3D matching system available in any domain.

* information listed above is at the time of submission.

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