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APPLICATION OF MACHINE VISION TO ENSURE SAFETY IN THE VICINITY OF AUTOMATICALLY CONTROLLED VEHICLES IN METALLURGY

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F22%3A10251287" target="_blank" >RIV/61989100:27360/22:10251287 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.confer.cz/metal/2022" target="_blank" >https://www.confer.cz/metal/2022</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.37904/metal.2022.4520" target="_blank" >10.37904/metal.2022.4520</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    APPLICATION OF MACHINE VISION TO ENSURE SAFETY IN THE VICINITY OF AUTOMATICALLY CONTROLLED VEHICLES IN METALLURGY

  • Original language description

    The paper deals with the application of automatically controlled vehicles in the metallurgical industry. The aim of the paper is to present a proposal for innovative safety of operating workers in the vicinity of an automatically controlled fire truck during the production of coke. The introductory part of the paper will be devoted to the explanation of the concept of automatically controlled vehicles, their possibilities, areas of their application and specifics in the field of metallurgical operations. The main part of the paper will be devoted to the creation of a proposal to ensure safety in the track area of an automatically controlled fire truck during the production of coke. Security designs using optical barrier fencing and control using PLC Simatic series S7-1200 will be presented. Visualization and control of fencing provided by the visualization program Promotic. The second way of innovative security is the use of a machine vision system using operational cameras on a fire truck. An algorithm based on environment color filtering with subsequent detection of operational workers will be introduced. The algorithm was tested on real camera recordings from the coking plant&apos;s operating environment. (C) METAL 2022. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • 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 2022 : 31th International Conference on Metallurgy and Materials : abstracts : May 18 - 19, 2022, OREA Congress Hotel Brno, Czech Republic, EU

  • ISBN

    978-80-88365-02-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    868-873

  • Publisher name

    Tanger

  • Place of publication

    Ostrava

  • Event location

    Brno

  • Event date

    May 18, 2022

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article