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Nadzor kakovosti montaže bencinskih katalizatorjev s strojnim vidom
ID Kokalj, Jakob (Author), ID Herakovič, Niko (Mentor) More about this mentor... This link opens in a new window, ID Šimic, Marko (Co-mentor)

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MD5: D182205DD712B1767D2A33518F7A89B0
PID: 20.500.12556/rul/dec177a8-50df-423d-afed-b4b5c7eac04c

Abstract
Magistrsko delo obravnava kontrolo kakovosti montaže s strojnim vidom, kar postaja vse pomembnejši segment pri montaži avtomobilskih katalizatorjev. V nalogi je zaradi posebne vrste katalizatorja obstoječi algoritem kontrole kakovosti nadgrajen tako, da lahko ploščino kosa razdelimo v dve območji in nato vsako območje posebej obravnavamo z drugačnimi kriteriji. V začetku naloge so predstavljeni katalizatorji, osnove kontrole kakovosti in obdelave slik ter opis obstoječega sistema za pregledovanje katalizatorjev. V tem delu je razdelan tudi pregled trga za morebitne rešitve. V drugem delu naloge je opisan potek razvijanja algoritma in delo potrebno za integracijo. Obravnavane so tudi nekatere druge poti raziskovanja z MATLAB-om. V zaključku naloge je prikazano testiranje algoritma in analiza rezultatov.

Language:Slovenian
Keywords:- strojni vid - nadzor kvalitete - segmentacija slik - katalizator - algoritem za iskanje napak
Work type:Master's thesis/paper
Organization:FS - Faculty of Mechanical Engineering
Year:2017
PID:20.500.12556/RUL-97611 This link opens in a new window
Publication date in RUL:28.10.2017
Views:2931
Downloads:312
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Secondary language

Language:English
Title:Quality control of automotive catalysts assembly with machine vision
Abstract:
This master thesis is looking into the quality control with machine vision, which is becoming an important segment in the assembly of catalytic converters. In this thesis, because of a specific converter, we upgraded the existing inspection algorithm in such a way that it will be able to divide the converter surface into two regions of interests. Each region should be inspected with different criteria. In the beginning of the thesis the catalytic converter and its functions are presented, as well as basics of quality control and image processing. Additionally, current inspection system and overview of the market solutions are described. The development of the new algorithm and the integration into the existing software are described in the second part of the thesis. Other avenues of research with MATLAB are also presented in this part. In the final part of the thesis, the experimenting with the new algorithm and the analysis of results is shown.

Keywords:- machine vision - quality control - image segmentation - catalytic converter - obstructed channel algorithm

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