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master's thesis
Kontrola parkirnih mjesta pomoću umjetne inteligencije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:657752
Zakarija, Lucija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Zakarija, L. (2024). Kontrola parkirnih mjesta pomoću umjetne inteligencije (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:657752

Zakarija, Lucija. "Kontrola parkirnih mjesta pomoću umjetne inteligencije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:657752

Zakarija, Lucija. "Kontrola parkirnih mjesta pomoću umjetne inteligencije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:657752

Zakarija, L. (2024). 'Kontrola parkirnih mjesta pomoću umjetne inteligencije', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:657752

Zakarija L. Kontrola parkirnih mjesta pomoću umjetne inteligencije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 August 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:657752

L. Zakarija, "Kontrola parkirnih mjesta pomoću umjetne inteligencije", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:657752

Metadata
TitleKontrola parkirnih mjesta pomoću umjetne inteligencije
Title (english)Control of parking spaces using artificial intelligence
AuthorLucija Zakarija
MentorDaniel Hofman (mentor)
Committee memberDaniel Hofman (član povjerenstva)
Committee memberHrvoje Mlinarić (član povjerenstva)
Committee memberMario Brčić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-02-14, Croatia
Abstract
Prepoznavanje objekata u videu područje je koje ima mnoge primjene u stvarnom svijetu. U ovom radu obrađena je primjena prepoznavanja slobodnih i zauzetih mjesta na parkiralištima. Korišten je YOLO model koji se temelji na konvolucijskim mrežama. Pri treniranju i testiranju modela isprobane su različite mogućnosti: različiti skupovi podataka za treniranje, razina pouzdanosti i broj epoha.
Abstract (english)
Object recognition in video is a field that has many real-world applications. This paper deals with the application of recognition of free and occupied spaces in parking lots. The YOLO model based on convolutional networks was used. When training and testing the model, different possibilities were tried: different training data sets, confidence level and number of epochs.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:657752
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2024-03-28 07:57:28