magistrsko delo
Samo Šlander (Author), Riko Šafarič (Mentor), Simon Klančnik (Mentor)

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;klasifikacijski model CNN;algoritem KNN;sortiranje fižola;klasifikacija;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [S. Šlander]
UDC: 004.932:664.696(043.2)
COBISS: 115196163 Link will open in a new window
Views: 97
Downloads: 16
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Other data

Secondary language: English
Secondary title: Sorting bean grains using machine vision
Secondary 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.
Secondary keywords: machine vision;CNN;KNN;sorting bean;classification;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Mehatronika
Pages: 1 spletni vir (1 datoteka PDF (XI, 74 f.))
ID: 15630679