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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

—

Počet stran výsledku

6

Strana od-do

868-873

Název nakladatele

Tanger

Místo vydání

Ostrava

Místo konání akce

Brno

Datum konání akce

18. 5. 2022

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—