Abstract
The United States Department of Agriculture (USDA) has been mandated to organoleptically inspect poultry carcasses online at processing plants. For poultry quality and safety evaluation, the development of accurate and reliable instruments for online detection of unwholesome carcasses are essential to improve quality inspection. Machine vision is a promising technology for quality control by separating unwholesome carcasses during poultry processing. Since current visual bird-by-bird inspection is labor-intensive and prone to human error, high speed, and reliable inspection systems to ensure the safe production of poultry has become an important issue, as the public is demanding assurance of better and safer food. In this chapter, several machine vision techniques, such as color, hyperspectral, and real-time multispectral imaging are demonstrated for poultry quality evaluation. In addition, recently developed imaging platforms, such as real-time hyperspectral imaging, transportable multispectral imaging, and handheld multispectral and hyperspectral microscope imaging technologies are discussed for poultry industry applications.
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