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Title:Sortiranje fižolovih zrn z uporabo strojnega vida : magistrsko delo
Authors:ID Šlander, Samo (Author)
ID Šafarič, Riko (Mentor) More about this mentor... New window
ID Klančnik, Simon (Mentor) More about this mentor... New window
Files:.pdf MAG_Slander_Samo_2022.pdf (5,66 MB)
MD5: 6F74F4D2253665DC6F725C549C45156C
PID: 20.500.12556/dkum/a399eb8c-17b2-4b53-bf10-a99aab92a1f7
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu je predstavljen projekt, ki temelji na zasnovi metode za sortiranje fižola s pomočjo strojnega vida. Njegov namen je nadomestiti ročno sortiranje. V delu je opisan tudi razvoj klasifikacijskega modela za razvrščanje slik fižola ter mehanskega koncepta. Prav tako je predstavljeno področje strojnega vida ter strojnega učenja. Na koncu pa je predstavljen nabor baze podatkov, razvrstitev slik po kategorijah z uporabo prenosnega učenja in algoritma k-najbližjih sosedov, ovrednotenje rezultatov le-teh ter koncept mehanske separacije.
Keywords:strojni vid, CNN, KNN, sortiranje fižola, klasifikacija
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[S. Šlander]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (XI, 74 f.))
PID:20.500.12556/DKUM-81883 New window
UDC:004.932:664.696(043.2)
COBISS.SI-ID:115196163 New window
Publication date in DKUM:28.06.2022
Views:874
Downloads:187
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
ŠLANDER, Samo, 2022, Sortiranje fižolovih zrn z uporabo strojnega vida : magistrsko delo [online]. Master’s thesis. Maribor : S. Šlander. [Accessed 31 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=81883
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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:14.06.2022

Secondary language

Language:English
Title:Sorting bean grains using machine vision
Abstract:In the master's thesis a project based on the design of a method for sorting beans using machine vision is presented. Its purpose is to replace manual sorting. Furthermore, the development of a classification model for classifying bean images and a mechanical concept is presented. Additionally, the field of machine vision and machine learning are described. Finally, a set of databases, classification of images by categories using portable learning and the k-nearest neighbor algorithm, evaluation of their results and the concept of mechanical separation are presented.
Keywords:machine vision, CNN, KNN, sorting bean, classification


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