Computer vision with artificial intelligence for a fast, low-cost, eco-friendly and accurate prediction of beer styles and brands

Abstract

Beer is the most consumed alcoholic beverage worldwide and are highly susceptible to fraudulent processes. This work developed a low-cost computer vision prototype with an artificial neural network for beer prediction of styles and brands.