Development of a robotic pourer constructed with ubiquitous materials, open hardware and sensors to assess beer foam quality using computer vision and pattern recognition algorithms: RoboBEER

There are currently no standardized objective measures to assess beer quality based on the most significant parameters related to the first impression from consumers, which are visual characteristics of foamability, beer color and bubble size. This study describes the development of an affordable an...

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Bibliographic Details
Published in:	Food research international Vol. 89; no. Pt 1; pp. 504 - 513
Main Authors:	Gonzalez Viejo, Claudia, Fuentes, Sigfredo, Li, GuangJun, Collmann, Richard, Condé, Bruna, Torrico, Damir
Format:	Journal Article
Language:	English
Published:	Canada Elsevier Ltd 01.11.2016
Subjects:	alcohols algorithms Artificial neural networks Beer foam beers Bubble size carbon dioxide color Computer vision fermentation foams neural networks principal component analysis retail marketing robots sensory evaluation Sensory panels temperature Computer vision Beer foam Bubble size Sensory panels Artificial neural networks
ISSN:	0963-9969, 1873-7145, 1873-7145
Online Access:	Get full text
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