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master's thesis
Očitavanje komunalnih brojila pomoću mobilnog uređaja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:867634
Čuljak, Zvonimir
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Čuljak, Z. (2020). Očitavanje komunalnih brojila pomoću mobilnog uređaja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:867634

Čuljak, Zvonimir. "Očitavanje komunalnih brojila pomoću mobilnog uređaja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:867634

Čuljak, Zvonimir. "Očitavanje komunalnih brojila pomoću mobilnog uređaja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:867634

Čuljak, Z. (2020). 'Očitavanje komunalnih brojila pomoću mobilnog uređaja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:867634

Čuljak Z. Očitavanje komunalnih brojila pomoću mobilnog uređaja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:867634

Z. Čuljak, "Očitavanje komunalnih brojila pomoću mobilnog uređaja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:867634

Metadata
TitleOčitavanje komunalnih brojila pomoću mobilnog uređaja
Title (english)Reading of Communal Meters with Mobile Devices
AuthorZvonimir Čuljak
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberSven Lončarić (član povjerenstva)
Committee memberMladen Vučić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisana su dva rješenja problema automatskog očitanja komunalnih brojila pomoću mobilnog uređaja. U prvom rješenju, analiza se obavlja pomoću poslužitelja i Mask RCNN aplikacije, dok u drugom Android aplikacija sama obavlja analizu koristeći TensorFlow Lite i SSD MobileNets. Opisan je proces prikupljanja, označavanja i pripreme podataka, treniranje modela i njihova evaluacija preciznosti. Razvijene su pozadinska aplikacija za analizu, njen poslužitelj i Android korisnička aplikacija. U radu se razmatraju rezultati, te prednosti i nedostaci ponuđenih rješenja.
Abstract (english)
This paper describes two different solutions to the problem of automatic reading of meters using mobile devices. In the first solution, image analysis is done by a Mask RCNN backend application connected with a server, while in the second one, Android application runs the analysis using TensorFlow Lite and SSD MobileNets. The paper also provides insight in the process of gathering, annotating and preparing the image dataset, training of models and their precision evaluation. Backend image analysis app, server and an Android app also have been developed. Furthermore, results, pros and cons of each solution is described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:867634
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
Access conditionsClosed access
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Created on2023-01-13 09:54:01