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Tactical Sensor Data Processing, Exploitation, and Dissemination

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H92222-17-P-0035
Agency Tracking Number: S163-008-0178
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SOCOM163-008
Solicitation Number: 2016.3
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-03-02
Award End Date (Contract End Date): 2017-08-31
Small Business Information
6800 Cortona Drive
Goleta, CA 93117
United States
DUNS: 054672662
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Andrew Brown, Ph.D.
 Senior Staff Analyst
 (805) 968-6787
Business Contact
 Ms. Marcella Lindbery
Phone: (805) 968-6787
Research Institution

Toyon Research Corp. proposes a feasibility study in preparation for development of an innovative intelligence repository which extends and scales current database capabilities to the paradigm of wide-area, multi-modal, millimeter-accuracy reconnaissance. The envisioned software architecture is based on a fusion of traditional key-based indexing with both geographic and content-based indexing schemes, which enables the fast search, processing, and dissemination of information in multi-modal datasets. At the lowest level, data is organized into tree-like computation graphs, whose structure can be adaptively tuned to increase performance of data correlation and information processing tasks, such as wide-area search and classication of multi-modal imagery. Hierarchical and graph-based representations also make processing pipelines, such as geo-registration, 3D-reconstruction, and CAD-model analysis, intuitive and simple by providing a unied virtual-le representation. The resulting specication should be highly tunable and adaptable to various data modalities (e.g. text, multi-modal imagery, point-clouds), allowing developers to adopt and extend a system to match their use-case without redening the schema. Furthermore, the system must be capable of real-time performance, with extensions employing massively distributed and decentralized network architectures.

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

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