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Title:Nadgradnja robotske celice s sistemom strojnega vida za detekcijo ukrivljenosti vilic
Authors:ID Gajšek, Kristijan (Author)
ID Šafarič, Riko (Mentor) More about this mentor... New window
ID Bratina, Božidar (Comentor)
ID Planinšek, Marko (Comentor)
Files:.pdf VS_Gajsek_Kristijan_2017.pdf (2,31 MB)
MD5: F80F26E1E89D54F8CC9B0CA8035F8FC9
PID: 20.500.12556/dkum/189541e5-378f-48fc-be4b-7d0f7c919ba1
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomski nalogi je predstavljen sistem detekcije ukrivljenosti vilic z dobljenimi rezultati. Opisani so sistemi slikovne detekcije, industrijsko krmilje robotske celice in avtomatizacije obdelave slike za detekcijo odstopanja vrednosti ukrivljenosti vilic. S pomočjo programskega orodja za obdelavo slik smo izdelali program, ki je zajel sliko in s pomočjo algoritma podal rezultat o odstopanju vrednosti od referenčnih. V nalogi je tudi opredeljen problem in možnosti kasnejšega razvoja in nadgradnje sistema v proizvodnji.
Keywords:Strojni vid, pametna kamera, vilice, robot, KUKA
Place of publishing:[Maribor
Publisher:K. Gajšek
Year of publishing:2017
PID:20.500.12556/DKUM-68518 New window
UDC:004.896:621.865.8(043.2)
COBISS.SI-ID:21005334 New window
NUK URN:URN:SI:UM:DK:PP2UWIMF
Publication date in DKUM:24.10.2017
Views:1564
Downloads:159
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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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:25.09.2017

Secondary language

Language:English
Title:Upgrading robotic cell by a system of machine vision to detect the curvature of the fork
Abstract:This diploma thesis presents the fork curvature detection system and the acquired results. It includes descriptions of image detection of fork curvature tolerances. With the help o fan image processing program we made an image capturing program that uses an algorithm to calculate tolerances. The diploma thesis also defines the problem and the possibility of consequent development and upgrade of the system in the production process.
Keywords:Machine vision, smart camera, fork, robot, KUKA


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