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  4. VIVALDI: steel billet tracking with advanced computer vision
 
conference paper

VIVALDI: steel billet tracking with advanced computer vision

Blanc, Sébastien
•
Pad, Pedrame
•
Turetken, Egin
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Sorger, Volker J.
•
Kitayama, Ken-ichi
March 13, 2024
AI and Optical Data Sciences V
SPIE OPTO 2024

Our advanced computer vision system allows for the precise tracking of serial numbers on steel billets in challenging industrial settings. It combines cutting-edge hardware and machine learning, excelling in character recognition (99.8%) and localization while adapting to dynamic ambient lighting conditions (104 ). Moreover, it accurately measures crucial geometric parameters such as side sizes, bulging, and skewness. This multifaceted technology promises to elevate material tracking, quality assessment, and production optimization in the steel industry to unprecedented levels.

  • Details
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Type
conference paper
DOI
10.1117/12.3001270
Author(s)
Blanc, Sébastien
Pad, Pedrame

CSEM

Turetken, Egin

CSEM

Cantale, Nicolas
Dunbar, Andrea  

EPFL

Feldhaus, Stephan
Honzátko, David

CSEM

Hauenstein, Gian
Meier, Marcel
Mendler, Tomaso
Show more
Editors
Sorger, Volker J.
•
Kitayama, Ken-ichi
Date Issued

2024-03-13

Publisher

SPIE

Published in
AI and Optical Data Sciences V
Series title/Series vol.

PROCEEDINGS VOLUME; PC12903

Published in
AI and Optical Data Sciences V
Start page

14

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
MTEI-GE  
Event nameEvent acronymEvent placeEvent date
SPIE OPTO 2024

San Francisco, California, United States

2024-01-27 - 2024-02-01

Available on Infoscience
April 8, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/248817
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