Machine vision in the food industry innovatively applies to food material classification and inspection, food appearance inspection, food packaging inspection, size measurement, character recognition, as well as seal and label inspection, among other aspects.
1、Food materials classification and testing
Machine vision technology can achieve rapid and accurate classification by recognizing and quantifying the characteristics of food materials, and detecting the appearance and internal quality of food materials, such as cracks, foreign objects, mold spots, etc., thereby improving production efficiency and product quality.
2、Food appearance inspection
In food appearance inspection, machine vision technology can detect food color, shape, size, proportion, texture, and other features to ensure consistency in product quality and meet consumer expectations.
3、Food packaging inspection
Machine vision technology also plays an important role in food packaging inspection, including detecting outer packaging damage, presence or absence of labels, and presence or absence of production dates. It can also inspect the liquid level in transparent bottle drinks, bottle cap damage, the shape of canned beverages and canned foods, and ensure the accurate quantity of packaging.
4、Dimension measurement
In addition, machine vision inspection technology can also accurately measure product dimensions such as length, width, and height, ensuring that the products meet production standards. At the same time, it can quickly and accurately identify printed content on packaging, including production dates and QR codes.
5、Character recognition
In terms of seal and label inspection, machine vision inspection technology can automatically detect and judge the sealing condition by analyzing the images of the packaging bags, ensuring product quality, and can quickly and accurately identify barcode, QR code, and other label information on the products, thereby improving production efficiency and traceability effects.
In summary, the innovative applications of machine vision technology in the food industry not only improve product quality and yield but also reduce the cost of manual monitoring, gaining consistent recognition from production enterprises.
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