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Proceedings Paper

Line-scan hyperspectral imaging for real-time poultry fecal detection
Author(s): Bosoon Park; Seung-Chul Yoon; William R. Windham; Kurt C. Lawrence; G. W. Heitschmidt; Moon S. Kim; Kaunglin Chao
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Paper Abstract

The ARS multispectral imaging system with three-band common aperture camera was able to inspect fecal contaminants in real-time mode during poultry processing. Recent study has demonstrated several image processing methods including binning, cuticle removal filter, median filter, and morphological analysis in real-time mode could remove false positive errors. The ARS research groups and their industry partner are now merging the fecal detection and systemically disease detection systems onto a common platform using line-scan hyperspectral imaging system. This system will aid in commercialization by creating one hyperspectral imaging system with user-defined wavelengths that can be installed in different locations of the processing line to solve significant food safety problems. Therefore, this research demonstrated the feasibility of line-scan hyperspectral imaging system in terms of processing speed and detection accuracy for a real-time, on-line fecal detection at current processing speed (140 birds per minute) of commercial poultry plant. The newly developed line-scan hyperspectral imaging system could improve Food Safety Inspection Service (FSIS)'s poultry safety inspection program significantly.

Paper Details

Date Published: 20 April 2010
PDF: 10 pages
Proc. SPIE 7676, Sensing for Agriculture and Food Quality and Safety II, 76760I (20 April 2010); doi: 10.1117/12.850258
Show Author Affiliations
Bosoon Park, USDA Agricultural Research Service (United States)
Seung-Chul Yoon, USDA Agricultural Research Service (United States)
William R. Windham, USDA Agricultural Research Service (United States)
Kurt C. Lawrence, USDA Agricultural Research Service (United States)
G. W. Heitschmidt, USDA Agricultural Research Service (United States)
Moon S. Kim, USDA Agricultural Research Service (United States)
Kaunglin Chao, USDA Agricultural Research Service (United States)


Published in SPIE Proceedings Vol. 7676:
Sensing for Agriculture and Food Quality and Safety II
Moon S. Kim; Shu-I Tu; Kaunglin Chao, Editor(s)

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