SBIR Phase I: The Natural Tag (TNT)

SBIR 第一阶段：天然标签 (TNT)

• 批准号: 0232514
• 负责人: Paul Skvorc
• 金额: $ 10万
• 依托单位: DataFlow/Alaska, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0232514&HistoricalAwards=false
• 关键词: SBIR; Phase; Natural; Tag; TNT

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.

这个小企业创新研究（SBIR）第一阶段项目的重点是自动识别个体鱼类，同时消除残割。 该项目名为TNT（“天然标签”），旨在利用最新的图像处理/模式识别技术开发一种新的渔业管理工具，其依据是动物（特别是鱼类）身上的天然标记是独特的，可用于在空间和时间上识别个体。 概念验证将证明：1）消除鱼残割2）每花费1美元标记的鱼数量更多，3）每单位时间标记的鱼更多，4）为每条鱼存档的统计数据更全面，5）减少或消除“标签丢失”，以及6）消除标签阅读错误。 第一个预期成果实质上解决了标记-再捕获科学的道德标准和行为的长期问题。 最后五个项目涉及推进渔业科学的最新发展，并代表了地方、州、联邦和国际项目中与鱼类标记研究和商业水产养殖相关的成本/效益比的立即改善。 TNT系统将为渔业管理人员和科学家提供更高水平的生物学和统计学上合理的数据。在全国范围内，该技术的预期客户包括商务部的NOAA，国家海洋渔业服务和内政部的美国鱼类野生动物服务和土地管理局，50个州的鱼类狩猎部门以及许多大学。 大约35个国家的组织也是目标客户。