Use Case 2.1: Quality control of carbon parts based on machine vision
STAM and VISKA will deploy a machine vision method based on NIR and RGB data on products proposed by Composite Industries, aimed at classifying faulty CFRP parts, allowing the automation of the quality inspection process of the components. Composite Industries will benefit from an automatic and more accurate manufacture of CFRP components: they will increase productivity, save material and money waste. STAM and Viska will benefit by commercialising engineering and consultancy services for the deployment of machine vision systems in various manufacturing scenarios.
Some more details about ATLANTES Demonstration
More info: TRINITY Website (ATLANTES)