Machine vision for animal identification

Technical report


Dunn, Mark. 2007. Machine vision for animal identification. Toowoomba, Australia. University of Southern Queensland.
Title

Machine vision for animal identification

Report TypeTechnical report
Authors
AuthorDunn, Mark
Institution of OriginUniversity of Southern Queensland
Number of Pages2
Year2007
PublisherUniversity of Southern Queensland
Place of PublicationToowoomba, Australia
Web Address (URL)http://www.ncea.org.au
Abstract

In the Great Artesian Basin there has been a program of capping bores and piping water to control points. Access to water can therefore be controlled for feral and native animals as well as farmed livestock. While National Livestock Identification Scheme (NLIS) tags are becoming common, the use of machine vision to identify animals based on their shape
allows control of water access for species not commonly tagged.

Keywordswater supplies; identifying animals; tagged animals; feral; native species; Australia; outdoor cameras
ANZSRC Field of Research 2020300302. Animal management
400999. Electronics, sensors and digital hardware not elsewhere classified
300201. Agricultural hydrology
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsNational Centre for Engineering in Agriculture
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