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Title: HYPERSPECTRAL IMAGING SYSTEM FOR IDENTIFICATION OF FECAL AND INGESTA CONTAMINATION ON POULTRY CARCASSES

Author
item Lawrence, Kurt
item Windham, William
item PARK, BOSOON - UGA
item Buhr, Richard - Jeff

Submitted to: ASAE Annual International Meeting
Publication Type: Proceedings
Publication Acceptance Date: 8/1/2001
Publication Date: 8/1/2001
Citation: Lawrence, K.C., Windham, W.R., Park, B., Buhr, R.J. 2001. Hyperspectral imaging system for identification of fecal and ingesta contamination on poultry carcasses. ASAE Annual International Meeting.

Interpretive Summary: In a poultry processing plant, where carcasses travels on processing-line shackles at a speed of 140 birds per minute, a potential source of pathogen contamination on a carcass is poultry feces and ingesta. We are developing a research imaging system to check for fecal or ingesta (undigested food) contamination on the carcasses. Because the shackle line speed will limit our final image processing time, and the complexity of the problem, specific images must be collected that optimize the contrast between the contaminant and the rest of the carcasses. This paper describes the research imaging system, known as a hyperspectral imaging system and its calibration. Results that identify key wavelengths in the visible light range for detecting contaminants are presented and these key-wavelengths were then tested on images of whole carcasses contaminated with small spots of feces and ingesta, which were collected with the hyperspectral imaging system. A detection algorithm was also developed that enhances the separation between the carcass and the contaminants. Results show that 100% of the contaminant spots were detected. More work is needed to see if the chicken's diet and other processing variables, such as scald-water temperature, affect the results. These wavelengths and detection algorithms will later be applied in an imaging camera with special filters so that a final system can operate at processing line speeds.

Technical Abstract: A method and system for detecting fecal and ingesta contaminates were demonstrated. A visible/near infrared monochromator, which measured reflectance, and principal component analysis were first used to identify key wavelengths from fecal and uncontaminated skin samples. Measurements at 434, 517, 565, and 628 nm were identified and used for evaluation with a hyperspectral imaging system (HIS). The HIS, which was a line-scan (pushbroom) imaging system, consisted of a hyperspectral camera, fiber-optic line lights, a computer, and frame grabber. The hyperspectral imaging camera consisted of a high resolution CCD camera, a prism-grating-prism spectrograph, focusing lens, associated optical hardware, and a motorized controller. The imaging system operated from about 400 to 900 nm. The HIS was calibrated for wavelength, distance, and percent reflectance, and analysis of calibrated images at the key wavelengths indicated that single-wavelength images were inadequate for detecting contaminates. However, a ratio of images at two of the key wavelengths was able to identify fecal and ingesta contaminates. Specifically, the ratio of the 565-nm image divided by the 517-nm image produced good results. The ratio image was then further processed by masking, and the image contrast was enhanced with a nonlinear-histogram stretch. The results indicated that, for the limited sample population, 100% of contaminates were detected. Thus, the HIS was able to detect contaminates and showed feasibility, but was too slow for real-time on-line processing. Therefore, a multivariate system operating at 565 and 517 nm, which should be capable of operating at on-line speeds is needed.