Abstract
Product quality assurance is a vital component in any manufacturing process. With the advancement of machine vision, the product quality inspection has been vastly improved. This couldn't be achieved with human inspection otherwise when it comes to consistency, accuracy, and the speed. The advance sensor technologies and image processing algorithms are ensuring the product and process quality in various industries including pharmaceutical manufacturing, food production, agriculture, and waste sorting. In contrast to the RGB imaging technology, multispectral and hyperspectral imaging technologies carry more information about the objects under inspection. With the help of both spectral and spatial information, it is possible to discriminate the quality indices of various products with higher accuracy than RGB imaging methods. This chapter discusses the state-of-the-art product quality inspection applications using hyperspectral imaging and multispectral imaging using modern machine learning and other statistical algorithms.
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