• Aitor Alvarez-Gila
  • Publications
  • News
  • Projects
    Aitor Alvarez-Gila

    Aitor Alvarez-Gila

    Color, Computer Vision and Machine Learning scientist. Researcher at Tecnalia. PhD candidate in deep learning at Computer Vision Center/Universitat Autònoma de Barcelona. Photographer (not really)

    • Bilbao, Spain
    • Barcelona, Spain
    • Computer Vision at Tecnalia
    • LAMP team at CVC/UAB
    • Email
    • Twitter
    • LinkedIn
    • Github
    • Google Scholar
    • ORCID
    • Personal portfolio

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

    less than 1 minute read

    surfin 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.

    Tags: cnn, deep learning, surfin, tecnalia

    Share on

    Twitter Facebook Google+ LinkedIn
    Previous Next

    You May Also Enjoy

    Invited talk on deep learning at the Faculty of Science and Technology (UPV/EHU)

    less than 1 minute read

    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).

    (Read more)

    New journal paper on synthetic image blurring for self-supervised deep blur detection

    less than 1 minute read

    Published: August 25, 2019

    Our paper “Self-Supervised Blur Detection from Synthetically Blurred Scenes” just got accepted for publication at the Image and Vision Computing journal (Q1).

    (Read more)

    PLOS ONE paper on deep learning techniques for the detection of lethal ventricular arrhythmia on out-of-hospital cardiac arrest patients

    less than 1 minute read

    Published: May 20, 2019

    Our paper “Mixed Convolutional and Long Short-Term Memory Network for the Detection of Lethal Ventricular Arrhythmia” was just published on PLOS ONE.

    (Read more)

    Introduction to deep learning. The techniques enabling the current Artificial Intelligence revolution

    less than 1 minute read

    Published: October 09, 2018

    Next Tuesday, October 9th, I’ll be giving an introductory talk to Deep Learning techniques within SPRI’s Enpresa Digitala initiative. It will take place at the building 204 of the Science Park of Biscay. Info and registrations: http://www.spri.eus/euskadinnova/es/enpresa-digitala/agenda/deep-learning-tecnicas-tras-revolucion-inteligencia-artificial/14624.aspx.

    (Read more)
    Sitemap
    • Follow:
    • GitHub
    • Feed
    © 2022 Aitor Alvarez-Gila. Powered by Jekyll & AcademicPages, a fork of Minimal Mistakes.