SBIR/STTR Research Award

Machine Learning for Defense Applications

Award identifier a73354298a78692cc3d6d37e721349f5af0a00a6f6fec5fb2c86b0d8af3792bfAwarding agency Department of Defense · Air Force

Award amount

$74,922

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
POLARIS SENSOR TECHNOLOGIES LLC
Proposal award date
2019-01-31
Contract end date
2020-01-31
UEI
QLWWT11B15B3
Solicitation number
18.3
Topic code
AF183-002

Research abstract

Polaris Sensor Technologies, Inc., presents a program plan (focused on the Phase 1 effort) to address the penultimate goal of “coloring the good guys blue and the bad guys red� using multi-mode aerial imagery of ground targets in the visible and thermal IR coupled with the most advanced Continuous Machine Learning (CML) approaches, techniques, and architectures. CML has many computational and operational advantages that allow it to address future challenges. By coupling CML with multi-mode, multi-waveband imagery, Polaris offers a unique approach to advance warfighter capability by reducing crew workload by taking advantage of existing sensor capability.

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

131 SBIR/STTR records share this UEI (2003–2025). Reported award amounts total $76,407,877. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Energy, Department of Homeland Security, Department of Transportation, Department of Health and Human Services, Department of Commerce

Agency intelligence

Department of Defense

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