SBIR/STTR Research Award

Advanced Machine Learning Target Recognition in Munitions

Award identifier 1acfb582d660823537c50f1ebccae03c131fd55f252786b56b1597d051387001Awarding agency Department of Defense · Army

Award amount

$111,498

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
POLARIS SENSOR TECHNOLOGIES LLC
Proposal award date
2019-10-30
Contract end date
2020-10-07
UEI
QLWWT11B15B3
Solicitation number
19.2
Topic code
A19-125

Research abstract

Polaris Sensor Technologies proposes a gun-launched intelligent munition concept for both fixed and moving targets which uses small, low cost sensors. It exploits sensor fusion and polarization measurement to obtain object detection candidates at extended ranges. An Automatic Target Recognition algorithm is used to confirm that the correct candidates are targeted, and employs a new classifier architecture which allows switching target sets in just minutes. Targets may be specified by map coordinates or relative to local terrain features and buildings. Moving targets are detected over the area of uncertainty and their motion is tracked as the munition approaches. The system is can be used in most weather conditions, day or night, and operates in the absence of GPS.

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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