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's operating environment. (C) METAL 2022. All rights reserved.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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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
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e-ISSN
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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
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