Spectrim Automates Quality Control with Machine Learning

The Spectrim optical sorting platform recently launched for the food and beverage industry. The platform uses machine learning software to perform quality checks of fruit. The Spectrim optical sorting platform. (Image courtesy Compac.) Spectrim can detect hard to find external blemishes on fruit and automatically separate produce by grade using existing technology. The platform is capable of taking up to 500 high definition images of a single piece of fruit as it passes through the sorting machine at a rate of 12 pieces of fruit per second. Similar machine learning technology has been used before by Google’s DeepDream software and Bonirob’s farming robots. Blemishes, bruises and rot on apples are highlighted and classified. (Image courtesy Compac.) Operators must first teach the Spectrim platform the difference between good and bad apple…

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