Submitted to: ASAE Annual International Meeting
Publication Type: Proceedings
Publication Acceptance Date: June 27, 2003
Publication Date: July 27, 2003
Citation: Park, B., Lawrence, K.C., Windham, W.R., Smith, D.P., Feldner, P.W. 2003. Machine vision for detecting internal fecal comtaminants of broiler carcasses. American Society of Aricultural Engineers Annual International Meeting. St. Joseph, MI. Technical Paper No.033051. Interpretive Summary: An imaging system can be effectively used for detecting internal fecal contaminants of a broiler carcass and demonstrates potential application for poultry safety inspection. Previously, hyperspectral imaging techniques have been applied to detect fecal contaminants on the surface of poultry carcasses. In order to successfully implement an imaging system for poultry fecal inspection, internal fecal contaminants must also be detected. However, vision techniques for detecting fecal contaminants in the visceral cavity of broiler carcasses are challenging. We employed the state-of-the-art hyperspectral imaging system to detect fecal contaminants in the visceral cavity of carcass halves. The preliminary study showed that the image processing methods, specifically image band ratio of selected wavelength images and threshold, which separates fecal spots from the surface, performed well to identify fecal contaminants in the visceral cavity of broiler carcasses. The selected image processing methods from the hyperspectral images can be further applied for real-time detection of fecal contaminants in the visceral cavity of broiler carcasses.