SBIR/STTR Research Award

On-Orbit Video Processing with AI/Edge Computing Techniques "VIP-1st" - Very Important [Pictures/Pixels] First

Award identifier 6e0dac746d5378e995815ace2df151dd9b8b8d367b11a61b61400546c7f6c508Awarding agency Department of Defense · Air Force

Award amount

$74,751

Program and phase

SBIR · Phase I

Award year

2024

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
TRL11 INC
Proposal award date
2023-12-15
Contract end date
2024-03-15
UEI
TMDVBBFWH888
Solicitation number
X23.7
Topic code
AFX237-PCSO1

Research abstract

Technical Abstract:á TRL11 is a venture-backed company in Irvine, CA developing low delay, full-motion video platforms, specifically for space. Our products are positioned to be widely integrated horizontally across the industry. Making video in space common and ubiquitous requires simultaneous efforts to simultaneously evolve the state of the across sensors, AI/ML at the edge, compression and transmission technologies - all within the Size, Weight and Power (SWaP) limitations common in space. TRL11ĺs goal is to enable low delay, full-motion video by creating novel technologies that can help solve for the challenge of limited bandwidth and connectivity on orbit. To that end, TRL11 proposes a Phase I effort to develop an on-orbit video processing algorithm called ôVIP-1stö, standing for ôVery Important [Pictures/Pixels] First.ö VIP-1st is a breakthrough in on-orbit video processing technology, set to redefine the way space video data is captured, compressed, and transmitted. By emphasizing on the most pivotal elements of visual data, we're ensuring mission-critical information is communicated without delay or bandwidth congestion. Combined with our flight-proven space video recorder, SAVER (pictured top right), VIP-1st can overcome bandwidth challenges and make real-time video from space a reality. Overview:á In Phase I, TRL11 will engage with AFRLĺs Mission Area Lead for Space Information Mobility, Space Systems Commandĺs Space Domain Awareness and Space Sensing divisions, and Joint Task Force - Space Defense Commercial Operations - to adapt the VIP-1st algorithms for Defense applications, ensuring mission-critical information is relayed swiftly and efficiently. Technical Merit:á VIP-1st is a novel approach that is substantially different than current state of the art alternatives.á Traditional methods often treat every video frame or pixel as equal, but VIP-1st's transformative approach ensures priority processing, storage, and compression of only critical visual data. Notably, our system targets an impressive end-to-end latency of less than 0.1 seconds and consumes 1000x less bandwidth than existing High Efficiency Video Coding (HEVC) solutions.

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

7 SBIR/STTR records share this UEI (2024–2025). Reported award amounts total $4,731,639. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, National Aeronautics and Space Administration

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.