SBIR/STTR Research Award

Acquisition and Tracking Algorithms for Multi-Resolution (Foveal) Sensors

Award identifier 42580c8bd60a7f1a74b451c4621aa30f286dc345b2e7b4aa07cac63af3b25ed5Awarding agency Department of Defense · Air Force

Award amount

$1,499,990

Program and phase

SBIR · Phase II

Award year

2020

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
CYAN SYSTEMS, INC.
Proposal award date
2019-10-31
Contract end date
2021-10-31
UEI
H6JBN9KCJFX1
Solicitation number
07.1
Topic code
AF071-155

Research abstract

The AFOST program proposed offers an advanced UHD Digital hostile fire detection and identification compact camera capability with adaptive windowing and Superresolution. Improvements in the HOT UHD DROIC, focal plane array, and integration with a compact camera package provides dramatic new situational awareness while enabling enhanced hostile fire early warning capabilities for infrared sensors.

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

28 SBIR/STTR records share this UEI (2006–2025). Reported award amounts total $17,484,005. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.