More machine vision applications in the NCEA

Edited book (chapter)

Billingsley, John. 2008. "More machine vision applications in the NCEA." Billingsley, John and Bradbeer, Robin (ed.) Mechatronics and machine vision in practice. Berlin, Germany. Springer. pp. 333-343
Chapter Title

More machine vision applications in the NCEA

Book Chapter CategoryEdited book (chapter)
ERA Publisher ID3337
Book TitleMechatronics and machine vision in practice
Authors
AuthorBillingsley, John
EditorsBillingsley, John and Bradbeer, Robin
Page Range333-343
Chapter Number28
Number of Pages11
Year2008
PublisherSpringer
Place of PublicationBerlin, Germany
ISBN9783540740261
9783540740278
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-540-74027-8_28
Web Address (URL)http://www.springer.com/engineering/book/978-3-540-74026-1
Abstract

In the early nineties, the research team at the National Centre for Engineering in Agriculture established a reputation for vision-based automated guidance of agricultural vehicles. This work has a new lease of life with recent funding. A succession of further vision projects have been somewhat unusual, ranging from the visual identification of animal species for the culling of feral pigs to vision-based counting of macadamia nuts. A unifying feature is the easy availability of low-cost cameras and a framework for integrating analysis software using DirectX 'filters'. Machine vision has changed from its earlier status as a sophisticated and expensive technology to a low-cost solution for more general instrumentation.
For the rapid solution of ad hoc problems, it is easy to exploit the convergence between computing and media entertainment. A system including camera, inter-facing, gigabytes of data storage, display and an embedded PC card can cost less than a single conventional high resolution industrial camera and interface. How-ever we are also pursuing a more fundamental approach, building systems around image-sensor components interfaced by means of RISC processors.

Keywordsmachine vision systems; National Centre for Engineering in Agriculture; NCEA; drones
ANZSRC Field of Research 2020460304. Computer vision
400999. Electronics, sensors and digital hardware not elsewhere classified
409901. Agricultural engineering
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Byline AffiliationsNational Centre for Engineering in Agriculture
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