Start Date: Dec 28, 2005
End Date: Dec 27, 2010
A real-time on-line fecal detection system, which consists of a multispectral imaging camera, lighting, and detection algorithm, will be prototyped. Multispectral and hyperspectral imaging systems will be used to identify physical hazards in poultry meat. Hyperspectral imaging in transmission mode will be used with structured lighting to identify embedded bones in breast filets. Hyperspectral imaging will also be used with white and brown shell eggs to identify both internal defects such as blood spots, meat spots, and bacterial contamination, and external defects such as fecal matter on shells and cracked shells. Hyperspectral imaging systems will be also be used to identify bacterial and chemical agents in meat and meat products. Collaboration with ARS Instrumentation and Sensing Laboratory, BARC, FSIS, and the University of Georgia Biological and Agricultural Engineering Department will be used to aid and enhance the research.