Did you know that defects in insulation panels can be hard to detect early ?
The consequences ? Waste, additional costs, and lower efficiency !
But there is a solution ! Our new article “Early defect detection in thermo-insulating panels: A case study on quality inspection” proposed a great approach combining artificial intelligence, synthetic images to compensate for the lack of real data, and a hybrid approach tested and validated on industrial pilot lines (GAMHE 5.0).
A step further towards sustainable production, thanks to this method, defect detection becomes more accurate and faster, helping reduce waste and supporting a more human-centric Industry 5.0.
Curious to learn how thermo-insulating panels can be improved ? Read the full article here : https://link.springer.com/article/10.1007/s00170-025-17067-5
Written by : Rubén Alonso (from @R2M), Fernando Castaño, Yarens J. Cruz, Alberto Villalonga & Rodolfo E. Haber (from CSIC-Universidad Politécnica de Madrid)
What do you think of this approach ? How are you shaping the future of sustainable industry ?