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Title:Razvoj in implementacija sistema strojnega vida za precizno določanje položajev lukenj v aplikacijah robotskega vijačenja : magistrsko delo
Authors:ID Hauptman, Leopold (Author)
ID Klančnik, Simon (Mentor) More about this mentor... New window
ID Šafarič, Riko (Mentor) More about this mentor... New window
Files:.pdf MAG_Hauptman_Leopold_2024.pdf (1,58 MB, This file will be accessible after 01.06.2027)
MD5: 34F61FBC2D4D42F025F8EF971F5C9150
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Magistrska naloga opisuje uporabo industrijske kamere SICK, PLC Siemens in industrijskega robota Yaskawa za določanje pozicije lukenj za robotsko vijačenje. Razložene so funkcije in uporaba programskega paketa SICK Quality inspection za programiranje industrijske kamere. Za tem je predstavljena uporabljena oprema za izvedbo naloge. Predstavljena je priprava komunikacije med napravami in kalibracija kamere z robotom, kjer se koordinate kamere pretvorijo v koordinate robotskega koordinatnega sistema. Sledi opis naloge in predstavitev problemov, ki so se pojavili med pripravo programov za strojni vid. Na koncu sledijo še opisi funkcij pripravljenih programov in končni parametri.
Keywords:robotika, strojni vid, industrijska kamera, avtomatizacija, vijačenje
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[L. Hauptman]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (X, [46] f.))
PID:20.500.12556/DKUM-89266-99cede02-e2a4-3593-07d8-78cd9a6ffa2c New window
UDC:004.932ʹ1:007.52 (043.2)
COBISS.SI-ID:208175875 New window
Publication date in DKUM:06.09.2024
Views:295
Downloads:0
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:01.07.2024

Secondary language

Language:English
Title:Developement and implementation of machine vision system for precise hole position locating in robotic screwing applications
Abstract:This master's thesis covers usage of an industrial camera SICK, PLC Siemens and industrial robot Yaskawa for locating hole positions for robotic screwing. It covers functions and usage of software package SICK Quality Inspection for industrial camera programming. After that it presents components used fot the task. It covers communication setup between devices and calibration of robot with camera, where camera coordiantes gets converted into coordinates of robotic coordinate system. After that programming task for machine vision is explained in detail, including all problems that occured during testing. At the end are described all functions of prepared programs, combined with used parameters.
Keywords:robotics, machine vision, industrial camera, automation, screwing.


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