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ARS Home » Southeast Area » Athens, Georgia » U.S. National Poultry Research Center » Quality and Safety Assessment Research Unit » Research » Publications at this Location » Publication #375499
Research Project: Develop Rapid Optical Detection Methods for Food Hazards

Location: Quality and Safety Assessment Research Unit

Title: Hyperspectral Imaging Technology for Detection of Foreign Materials on Poultry Meat

Author
item Yoon, Seung-Chul
item CHUNG, SOO - Oak Ridge Institute For Science And Education (ORISE)
item Park, Bosoon
item Gamble, Gary

Submitted to: ASABE Annual International Meeting
Publication Type: Abstract Only
Publication Acceptance Date: 3/20/2020
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: The poultry industry actively seeks methods to detect potentially harmful foreign materials during processing, especially plastics/polymers. Plastics are usually radiolucent in that X-ray radiation passes through most plastics without being blocked. Thus, X-ray machines are not effective for plastic detection. Near-infrared (NIR) hyperspectral imaging has been used as a non-destructive, rapid, accurate analysis tool for measuring plastic identities in other industrial and research applications. The online, rapid and accurate detection and identities of plastic can provide a method for poultry meat producers to trace the found plastic back to the source. This research investigates the potential of hyperspectral imaging in the spectral range of 400-2,500 nm for detection and identification of plastic on the surface of poultry meat products that can inadvertently added during processing. The detection and identification of the surface plastic can be influenced by size, color/transparency and/or NIR spectra as well as the relative location to light and camera. The reflectance properties of common plastic materials on chicken meat (red meat, white meat, and skin on and off) will be studied from hyperspectral images of samples obtained from three hyperspectral imaging systems in the VNIR (400-1,000 nm), extended VNIR (600-1,700 nm) and SWIR (1,000-2,500 nm) regions, respectively. The most influential factors and methods for plastic detection and identification using hyperspectral imaging will be studied and selected. These findings would be used in the development of an online monitoring system for a commercial application in poultry processing plants using high-speed hyperspectral imaging. Keywords: hyperspectral imaging; foreign material detection; plastic, food safety; poultry; detection and identification