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
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DOI - Digital Object Identifier
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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
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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
20205 - Automation and control systems
Result continuities
Project
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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
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e-ISSN
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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
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