Tecnalia’s deep learning-based Surface Inspection system SURFIN featured in Vision Systems Design
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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.
