Billingsley, John ORCID: https://orcid.org/0000-0002-7198-5594
(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) |
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Refereed: | Yes |
Item Status: | Live Archive |
Additional Information: | © 2008 Springer-Verlag Berlin Heidelberg. Permanent restricted access to published version due to publisher copyright policy. |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013) |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013) |
Date Deposited: | 06 Jan 2009 05:28 |
Last Modified: | 12 Sep 2016 02:54 |
Uncontrolled Keywords: | machine vision systems; National Centre for Engineering in Agriculture; NCEA; drones |
Fields of Research (2008): | 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 Objectives (2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering |
Identification Number or DOI: | https://doi.org/10.1007/978-3-540-74027-8_28 |
URI: | http://eprints.usq.edu.au/id/eprint/4564 |
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