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APEX: Adaptive and Peripheral surveillance fusion Engine

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-06-C-0466
Agency Tracking Number: N054-019-0065
Amount: $489,350.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N05-T019
Solicitation Number: N/A
Solicitation Year: 2005
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-09-28
Award End Date (Contract End Date): 2008-03-28
Small Business Information
4515 Seton Center Parkway Suite 320
Austin, TX 78759
United States
DUNS: 158034665
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Seth Greenblatt
 Principal Scientist
 (512) 342-0010
Business Contact
 Darrin Taylor
Title: COO
Phone: (512) 342-0010
Research Institution
 Moses Suidit
4455 Genesee St.
Buffalo, NY 14225
United States

 (716) 645-2357
 Nonprofit College or University

It is computationally infeasible to implement a complete Level 2/3-fusion solution that has detailed knowledge of all parts of an area of interest all the time. A staged approach is needed where the first stage implements a real time peripheral vision sensor analysis to identify asymmetric threats. The second stage implements a “foveal vision” sensor analysis that identifies, links and validates asymmetric threats computed in the first stage. In this Phase I effort, named APEX (Adaptive and Peripheral surveillance fusion Engine), The State University of New York at Buffalo and 21st Century Technologies Inc. propose this two stage approach to address the adaptive persistent/persistent surveillance problem. • SUNY Buffalo’s persistent surveillance fusion technology, INFERD (Information Fusion Engine for Real-Time Decision Making), contains real time fusion capabilities that flags asymmetric activities of interest by geo-spatial grid. Thus, INFERD acts as a “peripheral vision” capability to the level 2/3 fusion problem. Because INFERD operates at the millisecond level, there is no validation step. • When potentially interesting events are detected by INFERD, 21st Century Technologies’ TMODS (Terrorist Modus Operandi Detection System) validates and link activities of interest across multiple geo-spatial coordinates, and if appropriate, forwards the interesting activity to an I&W database.

* Information listed above is at the time of submission. *

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