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DIGITIZATION OF EMBOSSED NUMBERS ON CONTINUOUS STEEL CASTING BILLETS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F19%3A10244490" target="_blank" >RIV/61989100:27360/19:10244490 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    DIGITIZATION OF EMBOSSED NUMBERS ON CONTINUOUS STEEL CASTING BILLETS

  • Original language description

    Computer Vision is currently one of the most advanced and fastest growing areas of computing and software development. It can be used to recognize objects from the captured image. It is a visual image and video recognition system coupled with artificial intelligence. Industrial vision using industrial cameras is currently used in many industrial areas. Initial capital investment into the vision system has fast economic return, depending on the cost of the system, the number of human operators replaced, production capacity and other parameters. In the case of a properly designed and configured system that can often fully eliminate the human factor. Typical tasks in machine vision can be recognition and counting of products using industrial cameras, positioning, dimensioning, or optical quality control. The paper will describe the use of machine vision in the metallurgical industry - specifically for the numerical identification of embossed numbers on continuous steel casting billets. The basic requirement of the operation was to create a system for billet identification and archiving of collected data in order to eliminate inaccurate control causing billets to be replaced of each other and fatal manufacturing defects with considerable financial losses. The solution uses a combination of machine vision and neural networks. Combined with automation, advanced data analytics and production management systems, it creates a unique concept of smart metallurgical operation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    METAL 2019 : conference proceedings : peer reviewed : 28th International Conference on Metallurgy and Materials : May 22nd-24th 2019, Hotel Voronez I, Brno, Czech Republic, EU

  • ISBN

    978-80-87294-92-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1892-1897

  • Publisher name

    Tanger

  • Place of publication

    Ostrava

  • Event location

    Brno

  • Event date

    May 22, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article