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undergraduate thesis
Sustav za raspoznavanje prometnih znakova temeljen na umjetnoj inteligenciji
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. urn:nbn:hr:179:763220
Guvo, Vjekoslav
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Power Engineering

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Guvo, V. (2021). Sustav za raspoznavanje prometnih znakova temeljen na umjetnoj inteligenciji (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:763220

Guvo, Vjekoslav. "Sustav za raspoznavanje prometnih znakova temeljen na umjetnoj inteligenciji." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:763220

Guvo, Vjekoslav. "Sustav za raspoznavanje prometnih znakova temeljen na umjetnoj inteligenciji." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:763220

Guvo, V. (2021). 'Sustav za raspoznavanje prometnih znakova temeljen na umjetnoj inteligenciji', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 13 March 2025, https://urn.nsk.hr/urn:nbn:hr:179:763220

Guvo V. Sustav za raspoznavanje prometnih znakova temeljen na umjetnoj inteligenciji [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2025 March 13] Available at: https://urn.nsk.hr/urn:nbn:hr:179:763220

V. Guvo, "Sustav za raspoznavanje prometnih znakova temeljen na umjetnoj inteligenciji", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:763220

Metadata
TitleSustav za raspoznavanje prometnih znakova temeljen na umjetnoj inteligenciji
Title (english)Artificial intelligence based system for traffic signs recognition
AuthorVjekoslav Guvo
MentorMario Cvetković (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Power Engineering)
Split
Defense date and country2021-03-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electronics
Abstract
U ovom završnome radu objašnjene su osnove umjetne inteligencije, strojnog učenja, neuronskih mreža i računalnog vida. Detaljno je pojašnjen postupak učenja algoritma i sve popratne radnje. Demonstriran je relativno jeftini sustav baziran na Raspberry Pi SBC-u s algoritmom za prepoznavanje prometnih znakova. Za kraj su prikazani neki od načina na koji se može poboljšati efikasnost samoga algoritma i sustava.
Abstract (english)
This paper explains the basics of artificial intelligence, machine learning, neural networks and computer vision. The algorithm learning procedure and all accompanying actions are explained in detail. A relatively inexpensive system based on the Raspberry Pi SBC with a traffic sign recognition algorithm was demonstrated. Finally, some of the ways in which the efficiency of the algorithm and the system itself can be improved are presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:763220
Study programmeTitle: Electrical Engineering
Study programme type: professional
Study level: undergraduate
Academic / professional title: Stručni/Stručna prvostupnik/prvostupnica inženjer/inženjerka elektrotehnike (Stručni/Stručna prvostupnik/prvostupnica 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 on2021-12-06 10:41:56