SBIR/STTR Research Award

SBIR Phase I: Autonomous Underwater Animal Tracker

Award identifier e19010d57d754d6387d3169fc0f9af3912be4a3a79267396feeb4415e2f99ba0Awarding agency National Science Foundation

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2009

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Scientific Fishery Systems, Inc
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 09-541
Topic code
IC

Research abstract

This Small Business Innovation Research Phase I project will develop an autonomous underwater animal tracker, an underwater robot that can follow a crab or fish for weeks to months at a time. Satellite tracking has allowed huge, rapid advances in understanding behaviors and requirements of large animals. The opportunity to extend tracking to a wider range of marine life using an autonomous underwater animal tracker is expected to yield similar advances. To produce this robot we will modify an underwater glider, making it capable of detecting, localizing and tracking a marine animal that has an acoustic transmitter attached to, or embedded in, its body. With over a dozen large tracking studies currently underway worldwide and more planned, there is tremendous commercial potential for a service-oriented business model to prosper. The broader impact/commercial potential of this project is a much more detailed understanding of the behavior of the world?s fish that travel our oceans. As the world population grows, we continue to place greater strain on our planet?s resources. There is a need to gain more definitive answers regarding the impact humans are having on marine life, but collecting data from animals is a highly complex and expensive proposition. As an example, consider the recent Census of Marine Life, a global network of researchers in more than 80 nations engaged in a 10-year scientific initiative to assess and explain the diversity, distribution, and abundance of life in the oceans. Unfortunately, much of our knowledge regarding the distributions and migrations of our marine populations is based on independent samples often taken once per year, such as trawl sampling, or using stationary data collection nodes such as those deployed by the Census of Marine Life?s Pacific Ocean Shelf Tracking joint effort.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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