9 February 2006 Real-time multispectral imaging application for poultry safety inspection
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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%.
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Bosoon Park, Bosoon Park, Kurt C. Lawrence, Kurt C. Lawrence, William R. Windham, William R. Windham, Matthew P. Snead, Matthew P. Snead, } "Real-time multispectral imaging application for poultry safety inspection", Proc. SPIE 6070, Machine Vision Applications in Industrial Inspection XIV, 607007 (9 February 2006); doi: 10.1117/12.643113; https://doi.org/10.1117/12.643113
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