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Open AccessArticle

Smart Camera for Quality Inspection and Grading of Food Products

School of Electrical and Computer Engineering, Nanfang College of Sun Yat-sen University, Guangzhou 510970, China
Electrical and Computer Engineering, Brigham Young University, Provo, UT 84602, USA
Author to whom correspondence should be addressed.
Electronics 2020, 9(3), 505;
Received: 25 January 2020 / Revised: 10 March 2020 / Accepted: 16 March 2020 / Published: 19 March 2020
Due to the increasing consumption of food products and demand for food quality and safety, most food processing facilities in the United States utilize machines to automate their processes, such as cleaning, inspection and grading, packing, storing, and shipping. Machine vision technology has been a proven solution for inspection and grading of food products since the late 1980s. The remaining challenges, especially for small to midsize facilities, include the system and operating costs, demand for high-skilled workers for complicated configuration and operation and, in some cases, unsatisfactory results. This paper focuses on the development of an embedded solution with learning capability to alleviate these challenges. Three simple application cases are included to demonstrate the operation of this unique solution. Two datasets of more challenging cases were created to analyze and demonstrate the performance of our visual inspection algorithm. One dataset includes infrared images of Medjool dates of four levels of skin delamination for surface quality grading. The other one consists of grayscale images of oysters with varying shape for shape quality evaluation. Our algorithm achieved a grading accuracy of 95.0% on the date dataset and 98.6% on the oyster dataset, both easily surpassed manual grading, which constantly faces the challenges of human fatigue or other distractions. Details of the design and functions of our smart camera and our simple visual inspection algorithm are discussed in this paper. View Full-Text
Keywords: smart camera; visual inspection; quality grading; evolutionary learning; date grading; oyster grading smart camera; visual inspection; quality grading; evolutionary learning; date grading; oyster grading
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Guo, Z.; Zhang, M.; Lee, D.-J.; Simons, T. Smart Camera for Quality Inspection and Grading of Food Products. Electronics 2020, 9, 505.

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