SBIR/STTR Research Award

StormNetSpatio-Temporal Object Recognition on-the-Move Networks

Award identifier 33aa4809ce3f479ba733de4c8bf07b2b0caee06c8664fa5dcc59576512cd0ef0Awarding agency Department of Defense · Army

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2018

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
Intelligent Automation, Inc.
Proposal award date
2018-08-30
Contract end date
2019-03-01
UEI
C3QJD7VXG167
Solicitation number
2018.1
Topic code
A18-041

Research abstract

Improvised explosive devices (IEDs) remain a serious threat to our warfighters in asymmetrical warfare scenarios. Intelligent Automation Inc. (IAI) proposes to leverage its expertise in object detection, classification, and machine learning technology to develop a robust object and threat detection for military vehicle operations. We call our approach Spatio-Temporal Object Recognition on-the-Move Networks or StormNet. StormNet inserts a suite of Deep Learning techniques into a generalized machine learning framework that is capable of learning to detect multiple types of threats and measure the threat assessment scores for on-the-move video.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

1,182 SBIR/STTR records share this UEI (1987–2021). Reported award amounts total $369,972,257. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Transportation, Department of Health and Human Services, National Science Foundation, Department of Homeland Security

Agency intelligence

Department of Defense

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