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Title:
Razvoj sistema za odkrivanje napak sintranih izdelkov z uporabo strojnega vida : diplomsko delo
Authors:
ID
Rebevšek, Jakob
(
Author
)
ID
Klančnik, Simon
(
Mentor
)
More about this mentor...
Files:
UN_Rebevsek_Jakob_2018.pdf
(2,56 MB)
MD5: 25A36FB394DA276BD2C5DA50DAD2E5B6
PID:
20.500.12556/dkum/2fbfd2d4-d1eb-4aa7-9afa-99df7cc1fa32
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FS - Faculty of Mechanical Engineering
Abstract:
Diplomsko delo zajema načrtovanje sistema kontrole s pomočjo strojnega vida. Iskali smo nepravilnosti na določeni vrsti sintranih proizvodov. Uporabili smo različni kameri in osvetlitvi ter v programskih okoljih Omron in National Instruments razvili sistema, ki poškodovane kose uspešno prepoznata. Rezultate testiranj smo analizirali in podali ugotovitev, kateri izmed sistemov bi bil boljši za industrijsko uporabo. Programska oprema podjetja National Instruments se je izkazala za boljšo – z njo smo pravilno ovrednotili vse obravnavane slike.
Keywords:
sintranje
,
strojni vid
,
kontrola kakovosti
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[J. Rebevšek]
Year of publishing:
2018
Number of pages:
XI, 42 str.
PID:
20.500.12556/DKUM-71390
UDC:
658.562.4.004.93(043.2)
COBISS.SI-ID:
22239766
NUK URN:
URN:SI:UM:DK:KGGNFXRF
Publication date in DKUM:
11.09.2018
Views:
2245
Downloads:
193
Metadata:
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:
07.08.2018
Secondary language
Language:
English
Title:
Development of a system for failure inspection of sinter parts with machine vision
Abstract:
The diploma work includes planning the system of control with machine vision. We were searching for irregularities on certain sintered products. With the use of different cameras and lighting we developed two systems using Omron and National Instruments software. The damaged parts have been successfully recognised. The results of testing have been analysed and an opinion has been made about which system is better for industrial use. National Instruments software proved to be better – all the pictures we dealt with were inspected correctly.
Keywords:
sintering
,
machine vision
,
quality control
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