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Title:Spremljanje procesa montaže z uporabo strojnega vida : magistrsko delo
Authors:ID Lampret, Peter (Author)
ID Klančnik, Simon (Mentor) More about this mentor... New window
ID Peršak, Tadej (Comentor)
Files:.pdf MAG_Lampret_Peter_2022.pdf (2,12 MB)
MD5: 5AF69BD3339704ACB823C78EA4E7EAF4
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Magistrsko delo obravnava uporabo strojnega vida v procesu montaže. V prvem delu naloge imamo obravnavane teoretične osnove strojnega vida s poudarkom na sledenju objektov. V nadaljevanju naloge je prikazano oblikovanje montažnega mesta, ki omogoča spremljanje procesa montaže s strojnim vidom. Nato pa je prikazan razvoj programa za sledenje komponent in preverjanje pravilnosti montaže na tlačilki za žoge. Program je izdelan v programskem okolju MATLAB, najprej je prikazano, kako iz videa dobimo temeljne podatke, ki jih uporabimo za učenje detektorjev, ti morajo prepoznati vse komponente tlačilke in pravilnost sestave. Na koncu sledi prikaz delovanja programa in rezultati. Izkaže se, da program dobro prepozna pravilnost sestave, nekoliko več težav pa ima s sledenjem komponent čez celoten posnetek.
Keywords:strojni vid, sledenje objektov, montaža, MATLAB
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[P. Lampret]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (IX, 50 f.))
PID:20.500.12556/DKUM-82824 New window
UDC:004.93:658.515(043.2)
COBISS.SI-ID:151529987 New window
Publication date in DKUM:23.09.2022
Views:591
Downloads:91
Metadata:XML RDF-CHPDL 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:05.09.2022

Secondary language

Language:English
Title:Monitoring the assembly process using machine vision
Abstract:The master’s thesis discuses the use of machine vision in the assembly process. The first part deals with the theoretical fundamentals of machine vision with emphasis on object tracking. Furthermore, the thesis illustrates the design of assembly workplace which enables monitoring of the assembly process with machine vision. This is followed by the development of the program for object tracking and checking the correctness of the ball pump assembly. The program was made in MATLAB software. First of all, the process of how we get ground truth data from a video, for object detector training, is shown. The detectors must then recognize components and correctness of assembly. Lastly, the program operation and results are shown, along with the revelation, that the program recognizes the correctness of assembly well, but it has slightly more problems with component tracking over the entire video footage.
Keywords:machine vision, object tracking, assembly process, MATLAB


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