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DKUM
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Title:
Robotska celica za adaptivno vizualno kontrolo kvalitete : magistrsko delo
Authors:
ID
Gams, Matej
(Author)
ID
Gotlih, Karl
(Mentor)
More about this mentor...
ID
Šafarič, Riko
(Mentor)
More about this mentor...
ID
Gams, Andrej
(Comentor)
Files:
MAG_Gams_Matej_2022.pdf
(5,56 MB)
MD5: 469F5011BD85CFA8EF54E62A60EC7BCF
PID:
20.500.12556/dkum/787a80be-e924-4b74-9c00-71dabad14ac4
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FS - Faculty of Mechanical Engineering
Abstract:
Magistrska naloga obravnava uporabo koncepta proizvodnje brez napak, kjer se z uporabo adaptivne vizualne kontrole kvalitete prek robotskega mehanizma s pritrjeno kamero preverja kakovost industrijskih izdelkov. Za generiranje trajektorije pomika robotske roke med določenimi točkami v prostoru so se uporabili različni načrtovalci gibanja (planerji), katerih primerjalna analiza je v nalogi podrobno opisana. Na podlagi rezultatov najpomembnejših parametrov je bil izbran najprimernejši planer. Za obravnavan primer sta opisana tudi uporaba globokih nevronskih mrež v korelaciji z vizualnim zaznavanjem kakovosti elementov in interpretacija slike v smislu strojnega vida za dosego vizualne kontrole kvalitete izdelkov.
Keywords:
Proizvodnja brez napak
,
planerji gibanja
,
nevronske mreže
,
vizualna kontrola kvalitete
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[M. Gams]
Year of publishing:
2022
Number of pages:
1 spletni vir (1 datoteka PDF (IX, 70 f.))
PID:
20.500.12556/DKUM-81739
UDC:
004.032.26:658.562(043.2)
COBISS.SI-ID:
118644739
Publication date in DKUM:
23.06.2022
Views:
690
Downloads:
71
Metadata:
Categories:
KTFMB - FS
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:
GAMS, Matej, 2022,
Robotska celica za adaptivno vizualno kontrolo kvalitete : magistrsko delo
[online]. Master’s thesis. Maribor : M. Gams. [Accessed 22 January 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=81739
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Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
23.05.2022
Secondary language
Language:
English
Title:
Robotic cell for adaptive visual quality control
Abstract:
The master's thesis discusses the use of zero defects manufacturing concept, where the quality of industrial products is checked with the help of adaptive visual quality control via a robotic mechanism with an in-hand camera. The trajectories for the robot arm movement between defined vantage points in workspace are generated with the use of various motion planners, of which benchmark results are thoroughly described in this thesis. The most suitable planner was chosen on the basis of the results of the most important parameters. The descriptions of the use of deep neural networks in correlation with visual quality inspection and of picture interpretation in regard to machine vision for visual quality inspection are also discussed.
Keywords:
Zero defects manufacturing
,
motion planners
,
neural networks
,
visual quality control
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