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master's thesis
Sustav za klasifikaciju ambalaže primjenom metoda umjetne inteligencije
2020. urn:nbn:hr:190:528313
Dugonjić, Rino
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Electronics, Robotics and Automation

Cite this document

Dugonjić, R. (2020). Sustav za klasifikaciju ambalaže primjenom metoda umjetne inteligencije (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:528313

Dugonjić, Rino. "Sustav za klasifikaciju ambalaže primjenom metoda umjetne inteligencije." Master's thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:528313

Dugonjić, Rino. "Sustav za klasifikaciju ambalaže primjenom metoda umjetne inteligencije." Master's thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:528313

Dugonjić, R. (2020). 'Sustav za klasifikaciju ambalaže primjenom metoda umjetne inteligencije', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 15 October 2024, https://urn.nsk.hr/urn:nbn:hr:190:528313

Dugonjić R. Sustav za klasifikaciju ambalaže primjenom metoda umjetne inteligencije [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2020 [cited 2024 October 15] Available at: https://urn.nsk.hr/urn:nbn:hr:190:528313

R. Dugonjić, "Sustav za klasifikaciju ambalaže primjenom metoda umjetne inteligencije", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:190:528313

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Metadata
TitleSustav za klasifikaciju ambalaže primjenom metoda umjetne inteligencije
Title (english)System for packaging classification through the use of artificial intelligence methods
AuthorRino Dugonjić
MentorZlatan Car (mentor)
Committee memberAlfredo Višković (predsjednik povjerenstva)
Committee memberZlatan Car (član povjerenstva)
Committee memberRene Prenc (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Electronics, Robotics and Automation)
Rijeka
Defense date and country2020-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Ovaj diplomski rad opisuje primjenu dviju metoda umjetne inteligencije, metode potpornih vektora i konvolucijske neuronske mreže za rješavanje problema klasifikacije ambalaže. Tako je bilo potrebno kreirati klasifikator za treniranje metode potpornih vektora te model neuronske mreže za treniranje konvolucijske neuronske mrežu. Treniranje metoda izvršeno je nad podacima iz ručno izrađene baze podataka, nakon čega su i uspoređeni njihovi rezultati te opisane mogućnosti primjene. Izrada takvog sustava ostvarena je na osobnom računalu korištenjem biblioteka otvorenog koda scikit-learn, keras i open-cv.
Abstract (english)
This thesis describes the application of two methods of artificial intelligence, the support vector machines method, and the convolutional neural network to solve the problem of packaging classification. Thus, it was necessary to create a classifier for training the support vector method and a neural network model for training a convolutional neural network. The training of methods was performed on data from a manually created database, after which their results were compared and the possibilities of the application were described. The creation of such a system was achieved on a personal computer using open-source libraries scikit-learn, keras and open-cv.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:528313
Study programmeTitle: Graduate University Study of Electrical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-08-23 11:47:18