机器视觉系统在食品质量安全评价中的作用

A. Judal, A. Bhadania
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引用次数: 4

摘要

在印度不断增长的人口,在处理和加工方面的损失以及对食品高质量和安全标准的期望的增加,对准确,快速和客观的食品质量测定这些特征的需求不断增长。已开发多条机械化加工生产线,实现商业化生产。但目视检验和质量控制是通过人眼完成的。人工检查是一个缓慢的过程,重复性差,结果因人而异。机器视觉系统(MVS)是一种用于客观评价质量参数的图像处理/分析技术。它的速度和准确性满足了不断提高的生产和质量要求,因此有助于全自动工艺的发展。粮食的大量生产还伴随着两个主要问题。第一个是食品质量的下降,第二个是与加工和准备操作相关的“浪费”问题。在许多情况下,浪费是质量问题的直接后果,即质量下降达到不可接受的限度。因此,需要在这种大规模食品加工和生产厂的生产线上安装质量检查和保证机制。MVS可以在食品加工生产线上同时执行许多功能,如按品种、按大小、按视觉质量属性进行分离、测定成分、体积、测量形状参数、定量测定肉的颜色、自动分配和缺陷检测。MVS系统还被用于食品工业,用于检测苹果、橙子、橄榄、樱桃等的缺陷,土豆的分类,烘烤条件的在线监测,薯片变色的测量。它也被用于检测香蕉、西红柿、樱桃等的成熟阶段。还可用于对不同品种的谷物进行分类,检查其掺假情况。MVS被认为是评估切达奶酪和马苏里拉奶酪的收缩、质地和颜色等功能特性和质量属性的调查工具。本文综述了MV技术在食品工业中的进展和应用,重点介绍了肉类、家禽、海鲜和其他食品。MVS和支持技术的最新发展使得人们普遍接受在质量保证操作中实施目视检查系统的可行性和盈利能力。
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Role of Machine Vision System in Food Quality and Safety Evaluation
In India the ever-increasing population, losses in handling and processing and the increased expectation of food products of high quality and safety standards, there is a need for the growth of accurate, fast and objective quality determination of these characteristics in food products continues to grow. Number of mechanized processing lines has been developed for commercial production. But the visual inspection and quality control is done by human eyes. Human inspection is a slow process, has poor repeatability and result varies from person to person. Machine vision system (MVS) is an image processing/analysis technique which is used for objective evaluation of quality parameters. Its speed and accuracy satisfy ever increasing production and quality requirements, hence aiding in the development of totally automated processes. Mass production of food was also associated with two major problems. The first one is the decline in food quality, and the second one is the “waste” problem associated with processing and preparation operations. The wastage in many cases is a direct consequence of the quality problem, where the quality decline reaches unaccepted limits. Hence, is the need for quality inspection and assurance mechanisms to be installed in the production lines of such mass food processing and producing plants. MVS can perform many functions simultaneously in a food processing line such as segregation by species, by size, by visual quality attributes, determination of composition, volume, measurement of shape parameters, and quantification of the meat colour, automated portioning and detection of defects. MVS system is also being used in food industry for the detection of defects in apples, oranges, olives, cherries etc., sorting of potatoes, online monitoring of baking conditions, measurement of browning in chips. It is also being used for checking ripening stages of banana, tomato, cherries etc. Also it can be used to classify different varieties of cereal grains and check their adulteration. MVS considered as investigative tool to evaluate the functional properties and quality attributes such as shrinkage, texture and colour of cheddar and mozzarella cheese. This paper critically reviews the progress and application of MV technology in the food industry with a special emphasis on meat, poultry, seafood, and other foods. Recent developments in MVS and supporting technologies has resulted in general acceptance of the feasibility and profitability of implementing visual inspecting systems in quality assurance operations.
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