Tecnalia’s surface inspection system for hot long metal products SURFIN is migrating to a deep learning-based solution using Convolutional Neural Networks , and the December 2016 issue of Vision Systems Design includes an article on it with some design and performance details.
References:
A. Cruz-Lopez, A. Lago, R. Gonzalez, A. Alvarez-Gila, and J. A. Gutiérrez Olabarria, “High-speed inspection system finds defects in steel,” Vision Systems Design, no. December 2016-1, pp. 24–27, Dec-2016.
A. Alvarez-Gila, A. Lopez-Cruz, S. Rodriguez-Vaamonde, M. Linares, J. A. Gutierrez-Olabarria, and E. Garrote, “Deep Convolutional Neural Networks for surface quality inspection of hot long metal products,” presented at the First European Machine Vision Forum, Heidelberg, Germany, 2016.
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Published: September 20, 2019
Next Wednesday, October 2nd, I’ll be giving an introductory talk to Deep Learning techniques at the Faculty of Science and Technology of the University of the Basque Country (UPV/EHU).
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