More machine vision applications in the NCEA

Billingsley, John (2008) More machine vision applications in the NCEA. In: Mechatronics and machine vision in practice. Springer-Verlag, Berlin, Germany, pp. 333-343. ISBN 978-3-540-74026-1

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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.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2008 Springer-Verlag Berlin Heidelberg. Permanent restricted access to published version due to publisher copyright policy. Print copy held in USQ Library at call no. 621 Bil.
Depositing User: Prof John Billingsley
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 06 Jan 2009 05:28
Last Modified: 21 Nov 2014 03:26
Uncontrolled Keywords: machine vision systems; National Centre for Engineering in Agriculture; NCEA; drones
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1007/978-3-540-74027-8
URI: http://eprints.usq.edu.au/id/eprint/4564

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