Line-scan hyperspectral imaging for real-time poultry fecal detection

Bosoon Park; Seung-Chul Yoon; William R. Windham; Kurt C. Lawrence; G. W. Heitschmidt; Moon S. Kim; Kaunglin Chao

doi:10.1117/12.850258

20 April 2010 Line-scan hyperspectral imaging for real-time poultry fecal detection

Bosoon Park, Seung-Chul Yoon, William R. Windham, Kurt C. Lawrence, G. W. Heitschmidt, Moon S. Kim, Kaunglin Chao

Proceedings Volume 7676, Sensing for Agriculture and Food Quality and Safety II; 76760I (2010) https://doi.org/10.1117/12.850258
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Bosoon Park, Seung-Chul Yoon, William R. Windham, Kurt C. Lawrence, G. W. Heitschmidt, Moon S. Kim, and Kaunglin Chao "Line-scan hyperspectral imaging for real-time poultry fecal detection", Proc. SPIE 7676, Sensing for Agriculture and Food Quality and Safety II, 76760I (20 April 2010); https://doi.org/10.1117/12.850258

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