SBIR/STTR Research Award

Vision Processor for Helmet System (VPHS)

Award identifier 80c0bc817dd099752c806ff3f2c192be1946054d29c19d5e3743e2a4f567d00fAwarding agency Department of Defense · Air Force

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2013

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
TOYON RESEARCH CORPORATION
Proposal award date
2013-05-21
Contract end date
2014-02-24
UEI
PK1CB3L39XX8
Solicitation number
2013.1
Topic code
AF131-021

Research abstract

ABSTRACT: The unique capability of multispectral image fusion to provide high spatial and spectral information in a single image makes it an invaluable asset to the military. Although providing this capability for helmet mounted display (HMD) systems poses a significant challenge to developers. HMD systems based on previous processor technology have been unable to perform the required low-latency processing needed to ingest video from multiple high resolution sensors, but recent advances in integrated circuit (IC) process technology and small form-factor printed circuit board (PCB) design have opened up new opportunities. Toyon plans to exploit these technology advances to dramatically improve HMD processing capabilities. Toyon proposes to develop a high-performance, SWaP-optimized helmet vision processor (HVP) based on the latest in 28-nm Field Programmable Gate Array (FPGA)/System-on-a-Chip (SoC) process technology. To achieve the highest level of performance in the smallest possible SWaP package, Toyon will utilize advanced high-level synthesis tools to obtain accurate estimates of the hardware resources required to run the fusion-based image processing algorithm chain. Toyon will also employ the latest in high-density, small form-factor part selection and PCB design and fabrication practices to ensure that the overall system design meets SWaP requirements. BENEFIT: At the end of the Phase I effort Toyon will have developed a candidate architecture and established SWaP estimates for the HVP. As part of the Phase I effort a synthesizable model of the HVP image processing chain will be developed to aid in estimating hardware resources. This modeling and simulation effort will also enable development of a prototype HVP capable of meeting the solicitations requirements. Such a system would represent an enabling technology allowing the use of true multispectral fusion for not only HMD applications but for any SWaP critical application. In addition to being deployed in HMD systems another potential application is in small unmanned aerial vehicles (SUAVs).

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

601 SBIR/STTR records share this UEI (1986–2026). Reported award amounts total $249,287,075. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Commerce, Department of Homeland Security, National Aeronautics and Space Administration, Department of Transportation, Department of Energy

Contractor profile

TOYON RESEARCH CORPORATION

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Defense

NAICS intelligence

This classification comes from the contractor profile, not from the SBIR award record.

Contractor industry classification NAICS 541512

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.