Standoff-Biometric for Non-Cooperative Moving Subjects
Department of Defense
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Small Business Information
1867 Austin Bluffs Pkwy., Ste 200, Colorado Springs, CO, -
Socially and Economically Disadvantaged:
AbstractOverall 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.
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