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Proceedings Paper

Real-time multispectral imaging application for poultry safety inspection
Author(s): Bosoon Park; Kurt C. Lawrence; William R. Windham; Matthew P. Snead
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Paper Abstract

The ARS imaging research group in Athens, Georgia has developed a real-time multispectral imaging system for fecal and ingesta contaminant detection on broiler carcasses for poultry industry. The industrial scale system includes a common aperture camera with three visible wavelength optical trim filters. This paper demonstrates calibration of common aperture multispectral imaging hardware and real-time image processing software. The software design, especially the Unified Modeling Language (UML) design approach was used to develop real-time image processing software for on-line application. The UML models including class, object, activity, sequence, and collaboration diagram were presented. Both hardware and software for a real-time fecal and ingesta contaminant detection were tested at the pilot-scale poultry processing line. The test results of industrial sacle real-time system showed that the multispectral imaging technique performed well for detecting fecal contaminants with a commercial processing speed (currently 140 birds per minute). The accuracy for the detection of fecal and ingesta contaminates was approximately 96%.

Paper Details

Date Published: 9 February 2006
PDF: 10 pages
Proc. SPIE 6070, Machine Vision Applications in Industrial Inspection XIV, 607007 (9 February 2006); doi: 10.1117/12.643113
Show Author Affiliations
Bosoon Park, U.S. Dept. of Agriculture (United States)
Kurt C. Lawrence, U.S. Dept. of Agriculture (United States)
William R. Windham, U.S. Dept. of Agriculture (United States)
Matthew P. Snead, U.S. Dept. of Agriculture (United States)


Published in SPIE Proceedings Vol. 6070:
Machine Vision Applications in Industrial Inspection XIV
Fabrice Meriaudeau; Kurt S. Niel, Editor(s)

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