SBIR/STTR Research Award

SBIR Phase I: The Natural Tag (TNT)

Award identifier 16943f5bf46228c78aad4fce4481d6c837fe099a0932422efd5c5fc0f709b6b1Awarding agency National Science Foundation

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2003

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
National Science Foundation
Branch
Not reported
Recipient company
DataFlow/Alaska, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
JG2VMG3BTC45
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Innovation Research (SBIR) Phase I project is focused on automating the identification of individual fish while eliminating mutilation. The project, named TNT ("the natural tag"), is directed at developing a new fisheries management tool using the latest image processing/pattern recognition technology, and it is based on the knowledge that natural marks on animals, specifically fish, are unique and can be used to identify individuals over space and time. Proof-of-concept will demonstrate: 1) elimination of fish mutilation 2) larger number of fish 'tagged' per dollar spent, 3) more fish tagged per unit time, 4) a more comprehensive set of statistical data archived for each fish, 5) reduction or elimination of 'tag loss', and 6) elimination of tag reading errors. The first expected outcome substantially addresses the perennial issue of ethical standards and behavior with respect to mark-recapture science. The last five deal with advancing the state-of-the-art of fisheries science and represent immediate improvement of the cost/benefit ratio associated with fish tagging research and commercial aquaculture in local, state, federal and international programs. The TNT system will provide fisheries managers and scientists a higher level of biologically sound and statistically justifiable data. Nationally, expected customers of this technology include Department of Commerce's NOAA, National Marine Fisheries Service and Department of Interior's U.S. Fish & Wildlife Service and Bureau of Land Management, the Departments of Fish & Game for each of the 50 states as well as many universities. Organizations in approximately 35 foreign countries are target customers also.

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.

Research funding history

2 SBIR/STTR records share this UEI (2001–2003). Reported award amounts total $199,949. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

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.