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Title:Uporaba strojnega vida v proizvodnih procesih živilske industrije : magistrsko delo
Authors:ID Valek, Gregor (Author)
ID Klančnik, Simon (Mentor) More about this mentor... New window
Files:.pdf MAG_Valek_Gregor_2019.pdf (4,52 MB)
MD5: D2C4E103E1C42BF60426B50328E0601D
PID: 20.500.12556/dkum/100cd5b9-1f55-4058-911a-86ec65383f90
 
.zip MAG_Valek_Gregor_2018.zip (1,01 GB)
MD5: 2979EF69AD2D9676E13E7B47C27EB8FF
PID: 20.500.12556/dkum/be6798ce-3ada-42ee-94cf-47c5c8afbf48
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Na podlagi študija literature je v nalogi predstavljena uporaba strojnega vida v živilski industriji. Kot primer uporabe strojnega vida je bil razvit lasten programski sistem za brezkontaktno kontrolo kakovosti krompirja. Sistem je bil učen na manjši testni bazi fotografij. Sistem v proizvodnem procesu sortira krompir glede velikosti, hkrati pa prepoznava nepravilnosti, kot so mehanske poškodbe, gniloba in podobno. Z razvitim sistemom je mogoče na tri načine kontrolirati kakovost krompirja: preko naložene fotografije, preko naloženega videa ali preko kamere. Za vse načine kontrole krompirja so predstavljeni rezultati testiranja.
Keywords:strojni vid, proizvodni proces, živilska industrija, kontrola kakovosti, sortiranje
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[G. Valek]
Year of publishing:2019
Number of pages:XI, 57 f.
PID:20.500.12556/DKUM-72884 New window
UDC:004.93:658.56(043.2)
COBISS.SI-ID:22297366 New window
NUK URN:URN:SI:UM:DK:HWQRT4DM
Publication date in DKUM:11.02.2019
Views:1966
Downloads:292
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:05.12.2018

Secondary language

Language:English
Title:Usage of machine vision in production processes of the food industry
Abstract:Based on the study of the literature, the usage of machine vision in the food industry is presented. As an example of usage of machine vision, an own software system has been developed for noncontact quality control of potatoes. System was trained on smaller photography database. System sorts potatoes in the production system based on the size, at the same time it detects irregularities, such as mechanical damage, rot and similar. A quality control of potato can be controlled with developed system on three ways; using uploaded photohpraphy, using uploaded video, or using camera. Results of testing are presented for all three ways of quality control.
Keywords:machine vision, production process, food industry, quality control, sorting


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