SBIR/STTR Research Award

5-Deep Learning Surface Object Classifier

Award identifier 25756cbfecc9fcf7251f9a00a4f9c15d7a827a81fe9b2e8185da8123487a7947Awarding agency Department of Defense · Navy

Award amount

$149,974

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
UTOPIACOMPRESSION,CORPORATION
Proposal award date
2019-11-21
Contract end date
2020-04-20
UEI
HR7PGAJ92Z97
Solicitation number
19.3
Topic code
N193-A02

Research abstract

The future of Naval surface warfare will involve a large fleet of airborne, surface, and subsurface unmanned vehicles. Unmanned surface vehicles (USV) must autonomously navigate safely through congested waters, avoiding obstacles. USVs must also be able to autonomously process their sensor data in real-time for situational awareness. UtopiaCompression’s (UC) Maritime Visual Analytics (MVA) technologies enable both military and civilian users to process visual data. In this SBIR project, UC will build on MVA to create a deep learning surface object classifier providing USVs with instant situational awareness of the objects in their vicinity as well as the unfolding events.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

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

Research funding history

121 SBIR/STTR records share this UEI (2004–2025). Reported award amounts total $42,524,603. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Homeland Security, National Aeronautics and Space Administration, National Science Foundation, Department of Energy

Agency intelligence

Department of Defense

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