The integration of Artificial Intelligence algorithms inside the UTPVision visual inspection machines is a technological solution that beats the traditional methods of managing controls, that are conventionally based on the operator's insertion of thresholds to discriminate the any surface defects of the product.
So, the operator has just to collect a series of significant sample images of
the defect / characteristic to be detected, and through the so-called SVL
(SuperVised Learning) procedure, he trains the machine to discriminate or
classify according to his needs.
Thanks to the collaboration with Squeeze Brains, partner of UTPVision, the new approach through Artificial Intelligence is free from the environment and / or process variables that required subsequent adjustments of the machine in terms of thresholds and set controls.
Thanks to Artificial Intelligence, the machine is now able to identify "objects" (with defined shape characteristics) and / or "surface defects" (with undefined shape characteristics) by example images.
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