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Title:Načrtovanje sistema strojnega vida za kontrolo prenosa pretisnih omotov v podjetju Lek d.d. : magistrsko delo
Authors:ID Kuzma, Ivo (Author)
ID Klančnik, Simon (Mentor) More about this mentor... New window
ID Rozman Zorko, Niko (Comentor)
Files:.pdf MAG_Kuzma_Ivo_2022.pdf (3,85 MB)
MD5: E84E168ECA62D8BF433489185F210269
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:V magistrskem delu je predstavljeno načrtovanje sistema strojnega vida in načrtovanje sistema s senzorji za kontrolo prenosa pretisnih omotov. Cilj obeh sistemov je prepoznati napačno izbite pretisne omote in posledično olajšati in pohitriti delo operaterja na proizvodni liniji. Za sistem strojnega vida so predstavljeni trije različni algoritmi, primerjava algoritmov med seboj ter primerjava obeh načrtovanih sistemov. Na koncu so podane smernice za implementacijo posameznih sistemov v podjetje ter podani zaključni sklep raziskovanja.
Keywords:optimizacija proizvodnje, strojni vid, metode strojnega učenja, fotoelektrični senzor, načrtovanje, implementacija
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[I. Kuzma]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (XII, 65 f.))
PID:20.500.12556/DKUM-82787 New window
UDC:004.932.021:658.527(043.2)
COBISS.SI-ID:151502851 New window
Publication date in DKUM:23.09.2022
Views:811
Downloads:11
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:02.09.2022

Secondary language

Language:English
Title:Development of a machine vision system for blister transfer control in the company Lek d.d.
Abstract:The master's thesis presents the design of a machine vision system and the design of a system with sensors for pretisni omot transfer control. The goal of both systems is to identify incorrectly punched pretisni omots and consequently facilitate and speed up the work of the operator on the production line. Three different algorithms are presented for the machine vision system, a comparison of the algorithms with each other and a comparison of the two planned systems. At the end, guidelines are given for the implementation of individual systems in the company and the final conclusion of the research is given.
Keywords:optimization of production, machine vision, machine learning methods, photoelectric sensor, design, implementation


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