More machine vision applications in the NCEA

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)
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
Fields of Research (2020):	46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460304 Computer vision 40 ENGINEERING > 4009 Electronics, sensors and digital hardware > 400999 Electronics, sensors and digital hardware not elsewhere classified 40 ENGINEERING > 4099 Other engineering > 409901 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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