Autonomous Sensing and Deciding Framework Processor

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$149,971.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
FA8750-13-C-0082
Agency Tracking Number:
O123-LD1-1060
Solicitation Year:
2012
Solicitation Topic Code:
OSD12-LD1
Solicitation Number:
2012.3
Small Business Information
Black River Systems Company, Inc.
162 Genesee Street, Utica, NY, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
111305843
Principal Investigator:
Dale Klamer
Principal Investigator
(315) 732-7385
klamer@brsc.com
Business Contact:
Milissa Benincasa
Vice President
(315) 732-7385
benincasa@brsc.com
Research Institution:
n/a
Abstract
Our objective is to develop an innovative cognitive knowledge-aided information processing framework to take very high rate intelligence data streams over wide areas and autonomously highlight AOIs and targets for the image analyst without a priori knowledge of the area or location of the individual high interest targets. We will design, implement, test, and demonstrate an initial multi-agent autonomous sensing and deciding framework, including the development of knowledge bases, detecting anomalies between a real-time scene and the knowledge bases, mining the knowledge bases for new patterns and relationships, monitoring Areas of Interest specified by the analyst, and provide automated machine learning and ranking of anomalies within the multi-agent framework. Based on traffic pattern analysis and pattern of life, we derived knowledge bases and apply sound statistical analysis to detect changes between the current real-time scene and the derived knowledge bases. Through the use of Relevance Vector Machines, machine learning agents learn the important characteristics of AOIs and individual targets.

* information listed above is at the time of submission.

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