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undergraduate thesis
Automatizirano prepoznavanje duljine reda čekanja
2021. urn:nbn:hr:190:190555
Patekar, Alan
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

Cite this document

Patekar, A. (2021). Automatizirano prepoznavanje duljine reda čekanja (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:190555

Patekar, Alan. "Automatizirano prepoznavanje duljine reda čekanja." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:190555

Patekar, Alan. "Automatizirano prepoznavanje duljine reda čekanja." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:190555

Patekar, A. (2021). 'Automatizirano prepoznavanje duljine reda čekanja', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 28 October 2024, https://urn.nsk.hr/urn:nbn:hr:190:190555

Patekar A. Automatizirano prepoznavanje duljine reda čekanja [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2021 [cited 2024 October 28] Available at: https://urn.nsk.hr/urn:nbn:hr:190:190555

A. Patekar, "Automatizirano prepoznavanje duljine reda čekanja", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:190:190555

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Metadata
TitleAutomatizirano prepoznavanje duljine reda čekanja
Title (english)Automated Queue Length Regression
AuthorAlan Patekar
MentorIvan Štajduhar (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
Committee memberIvan Štajduhar (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2021-05-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu realiziran je sustav koji pomoću YOLOv3 metode za detekciju objekata na slici analizira ulaznu sliku u realnom vremenu te prikazuje i trajno sprema rezultat o trenutnom broju ljudi u redu čekanja, osvježavajući brojač svake sekunde. Opisan je cjelokupni način razvoja i testiranje sustava te je analiziran način dolaska do konačnog rješenja. Istražene su i opisane osnovne i modernije metode detekcije objekata na slici kako bi se uočile ključne prednosti i nedostaci metoda te dobila ideja osnovnih principa sustava za detekciju objekata i algoritama koje koriste.
Abstract (english)
Work on this paper produced a system which uses YOLOv3 object detection method in order to analyse input picture in real time and to show and permanently save the number of people in the queue while refreshing the counter each second. The whole process of developing and testing the system was documented and the method of reaching the final solution is analysed. Basic and modern object detection methods are described in order to identify key advantages and disadvantages of object detection systems and algorithms they use.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:190555
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-06-01 11:05:57