SBIR/STTR Research Award

Enhancing MQ-9 Aircrew Situational Awareness by Automated Image Recognition from Aerial Images, based on Explainable-AI

Award identifier e6498f970b19f3c0da1d2665a10545ce95528db43faaf72358d1ffe7d6d60490Awarding agency Department of Defense · Air Force

Award amount

$50,000

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
Z ADVANCED COMPUTING INC
Proposal award date
2019-08-02
Contract end date
2020-08-02
UEI
KVD9N5AE5JK6
Solicitation number
19.2
Topic code
AF192-001

Research abstract

ZAC’s detailed image recognition technology based on our Explainable-AI (artificial intelligence) is capable of obtaining various fine details from images taken at various camera angles, including aerial images from MQ-9 (as well as satellite or other aerial images), under varying conditions and occlusion, to accurately locate and identify objects of interest and enhance aircrew situational awareness and performance. Our technology has surpassed the best alternatives in the industry (ResNet).

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

4 SBIR/STTR records share this UEI (2019–2022). Reported award amounts total $2,799,399. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

Agency intelligence

Department of Defense

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