Knowledge-aided Interface for Big Data Streams

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$149,997.00
Award Year:
2014
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-14-C-0020
Award Id:
n/a
Agency Tracking Number:
O133-LD2-2087
Solicitation Year:
2013
Solicitation Topic Code:
OSD13-LD2
Solicitation Number:
2013.3
Small Business Information
1050 W NASA Blvd, Suite 155, Melbourne, FL, 32901-
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
038379579
Principal Investigator:
BruceMcQueary
President
(321) 591-7371
bmcqueary@securboration.com
Business Contact:
LynnLehman
CEO
(919) 244-3946
contracts@securboration.com
Research Institute:
n/a
Abstract
Soldiers at the tactical edge of today"s military operations have information requirements that are not met by current ISR systems. They need to make quick decisions while interacting in densely populated environments comprised of friendly, hostile, and neutral host nation locals. Enabled by ubiquitous mobile devices, social media has emerged as the local populace"s dominant form of communication. The unprecedented speed at which social media enables many to many interactions coupled with the volatile nature of these environments, makes it a critical intelligence source for the edge Soldier. To provide an innovative capability that fulfills this need, Securboration proposes to research and develop the Augmented Reality for Tactical Edge Analysis system, or ARTEA. Our approach is unique because rather than relying on incremental changes to existing capability and military data sources, we leverage, extend, and apply novel emerging state-of-the-art research. ARTEA applies deep machine learning and noise reduction algorithms to big-data social media streams to identify patterns, extract attitude trends and shifts; and present the most salient features of that derived knowledge immediately to the edge Soldier via non-intrusive augmented reality devices (AR), such as Google Glass.

* information listed above is at the time of submission.

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