ISR-IT: Adaptive Desktop Trainer for Imagery Analysis Based on Contextual Factors

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$150,000.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-12-M-6282
Award Id:
n/a
Agency Tracking Number:
O113-CR2-1145
Solicitation Year:
2011
Solicitation Topic Code:
OSD11-CR2
Solicitation Number:
2011.3
Small Business Information
Scientific Systems Company, Inc (Currently Scientific Systems Company, Inc.)
500 West Cummings Park - Ste 3000, Woburn, MA, -
Hubzone Owned:
N
Minority Owned:
Y
Woman Owned:
N
Duns:
859244204
Principal Investigator:
Ranga Narayanaswami
Group Leader, Signals Exploitation
(781) 933-5355
rangan@ssci.com
Business Contact:
Jay Miselis
Corporate Controller
(781) 933-5355
contracts@ssci.com
Research Institution:
Stub




Abstract
The analysis and interpretation of Intelligence, Surveillance and Reconnaissance (ISR) imagery data is a key driver of actionable intelligence. With the current operations, being primarily in Iraq and Afghanistan, it is important for us to understand the cultural, environmental, behavioral, economic factors in the interpretation of ISR imagery. A number of scenarios exist where the ISR imagery can be potentially misinterpreted, leading to unintended civilian casualties as well as mission failure. Scientific Systems Company Inc. (SSCI) proposes the development of a desktop trainer for ISR imagery analysis based on contextual factors. The proposed ISR Imagery Trainer (ISR-IT) will allow the incorporation of scenarios where context plays a crucial role in interpretation of imagery. ISR-IT will be able to ingest EO and IR video streams and incorporate a game and simulation Engine. We will use a learning management system to adapt to an individual in presenting an ISR scenario. We will use an interactive user interface to show EO and IR imagery (via video and simulation) and provide for a varying menu of contextual factors. We will design ISR-IT to incorporate into a larger system with capability to accept scenario inputs and simulation inputs.

* information listed above is at the time of submission.

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