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Automated inline process involves a high-resolution vision sensor, colored lights and machine learning. Photo Credit: Diab

Progressive technology consultancy (Gothenburg, Sweden), a Qamcom Group company, has collaborated with Diab (Laholm, Sweden), to optimize process and quality control in the production of the company’s sandwich composite solutions used in marine, wind, aerospace and automotive industries.

“Diab came to us with the ambition to perform inline quality control for every sample and provide an individual material property set for each produced sample. This would take Diab from occasionally checking samples manually, to measuring the quality of all material produced. Some would say that it sounds impossible. We said, challenge accepted,” says Magnus Janson, CEO at 2550 Engineering.

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With the help of a high-resolution vision sensor, colored lights and machine learning (ML), 2550 Engineering developed an automated inline system that captures the samples’ structure in real time. The result was that Diab moved from measuring one out of 10,000 samples, to all of them.

“We chose 2550 for this complex task because of their can-do attitude, responsiveness and high skills within forefront technology and Industrial AI,” notes Magdalena Sandström, CTO at Diab Group. “It would be an understatement to say that they have delivered value for us. I would go so far as to say that they have helped us to understand how to use new technologies, such as machine learning, to revolutionize our whole quality control process.”

With this new vision system in place, Diab now has access to the quality data needed to optimize its process control, reduce costs and waste and improve product quality in general.

“Throughout the whole process we have had a tight collaboration together with Diab, something that was crucial to create good results fast” says Janson.