For many manufacturing companies quality control can be time consuming, expensive and a waste of resources. For
Diab who produces premium core material used in various fields such as: boats, wind turbines, airplanes, and other vehicles – quality control is crucial. Diab is a world leader in sandwich composite solutions that make customers’ products stronger, lighter and smarter. Diab provides a range of core materials, cost-effective kits, finishing options and in-depth knowledge on composites.
“Diab came to us with the ambition to perform in-line 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 measure the quality of all material produced. Some would say that it sounds impossible. We said, challenge accepted” says Magnus Janson, CEO at 2550 Engineering.
With the help of a high-resolution vision sensor, colored lights, and machine learning 2550 developed an automated in-line system that captures the samples’ structure in real time. The result was that Diab moved from measuring 1 out of 10 000 samples, to measure all the produced samples.
“We chose 2550 for this complex task because of their can-do attitude, responsiveness and high skills within forefront technology and Industrial AI. 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” says Magdalena Sandström, CTO at Diab Group.
With this new vision system in place, Diab now has access to the quality data needed to optimize their process control, reduce costs and waste, improve quality and the products in general.
“Throughout the whole process we have had a tight collaboration together with Diab, something that was crucial to create good results fast” said Magnus Janson, CEO at 2550 Engineering.
For more information:
www.2550.engineering
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