Abstract
Beers are differentiated mainly according to their visual appearance and their fermentation process. The main quality characteristics of beer are appearance, aroma, flavor, and mouthfeel. Important visual attributes of beer are foam appearance (volume and persistence), as well as the color and clarity. To replace manual inspection, automatic, objective, rapid and repeatable external quality inspection systems, such as computer vision, are becoming very important and necessary. Computer vision is a non-contact optical technique, suitable for the non-destructive evaluation of the food product quality. Currently, the main application of computer vision occurs in automated inspection and measurement, allowing manufacturers to keep control of product quality. This paper presents an overview of the applications and the latest achievements of the computer vision methods in determining the external quality attributes of beer.
Highlights
Beer is one of the oldest alcoholic beverages in the world and the third most widely-consumed drink
The Standard Reference Method (SRM) method is based on an absorbance measurement, where the beer color is expressed as a quantity of absorbed light at a wavelength of 430 nm in a 10 mm quartz cuvette against water as a reference [39]
Bubble haze arises in the beer during dispensing beer into the glass, as a result of a large number of microbubbles which are formed during bubble nucleation
Summary
Beer is one of the oldest (low) alcoholic beverages in the world and the third most widely-consumed drink (after water and tea). Important visual characteristics of beer are foam appearance (volume and persistence), as well as color and clarity of the beer. Given the unreliability of the human inspectors, there is a need for a precise, objective, and reproducible instrumental method thatthat couldcould imitateimitate humanhuman testing methods. Due to a visual inspection, monitoring the external quality appearance of the product non-destructively. Quality attributes is time-consuming, and the computer vision method enables perform this task. A waybrewing to improve brewing techniques, rapidfrom feedback from quality required.is the development and implementation of new methods are of great importance in control required. This paper covers an overview of the current achievements in vision methods to determine external attributes of beer. Applying the computer visionthe methods toquality determine the external quality attributes of beer
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