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

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.

[1]  Kurt C. Lawrence,et al.  Design and calibration of a dual-band imaging system , 2007 .

[2]  Kurt C. Lawrence,et al.  Real-time multispectral imaging system for online poultry fecal inspection using unified modeling language , 2007 .

[3]  Kurt C. Lawrence,et al.  Dynamic Thresholding Method for Improving Contaminant Detection Accuracy with Hyperspectral Images , 2005 .

[4]  Y. R. Chen,et al.  Hyperspectral-multispectral line-scan imaging system for automated poultry carcass inspection applications for food safety. , 2007, Poultry science.

[5]  Kurt C. Lawrence,et al.  MULTISPECTRAL IMAGING SYSTEM FOR FECAL AND INGESTA DETECTION ON POULTRY CARCASSES , 2004 .

[6]  Kurt C. Lawrence,et al.  Improved Hyperspectral Imaging System for Fecal Detection on Poultry Carcasses , 2007 .

[7]  Chun-Chieh Yang,et al.  Spectral line-scan imaging system for high-speed non-destructive wholesomeness inspection of broilers , 2010 .

[8]  Alan M. Lefcourt,et al.  Multispectral line-scan imaging system for simultaneous fluorescence and reflectance measurements of apples: multitask apple inspection system , 2008 .

[9]  Moon S. Kim,et al.  DETECTION OF SKIN TUMORS ON CHICKEN CARCASSES USING HYPERSPECTRAL FLUORESCENCE IMAGING , 2004 .

[10]  Seung-Chul Yoon,et al.  Optimization of Fecal Detection Using Hyperspectral Imaging and Kernel Density Estimation , 2007 .

[11]  Y. R. Chen,et al.  HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY , 2001 .

[12]  Kurt C. Lawrence,et al.  Adaptive Image Processing Methods for Improving Contaminant Detection Accuracy on Poultry Carcasses , 2009 .

[13]  Kurt C. Lawrence,et al.  Fisher Linear Discriminant Analysis for Improving Fecal Detection Accuracy with Hyperspectral Images , 2007 .

[14]  Yankun Peng,et al.  Hyperspectral Scattering for Assessing Peach Fruit Firmness , 2004 .

[15]  W. R. Windham,et al.  Hyperspectral Imaging for Detecting Fecal and Ingesta Contaminants on Poultry Carcasses , 2002 .

[16]  Kurt C. Lawrence,et al.  Textural analysis of hyperspectral images for improving contaminant detection accuracy , 2008 .

[17]  Kurt C. Lawrence,et al.  Real-time multispectral imaging application for poultry safety inspection , 2006, Electronic Imaging.