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undergraduate thesis
Mjerenje razine šećera pomoću digitalnog refraktometra Hanna Instruments 96801
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. urn:nbn:hr:200:460554
Međimorec, Lukrecija
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Međimorec, L. (2023). Mjerenje razine šećera pomoću digitalnog refraktometra Hanna Instruments 96801 (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:460554

Međimorec, Lukrecija. "Mjerenje razine šećera pomoću digitalnog refraktometra Hanna Instruments 96801." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:460554

Međimorec, Lukrecija. "Mjerenje razine šećera pomoću digitalnog refraktometra Hanna Instruments 96801." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:460554

Međimorec, L. (2023). 'Mjerenje razine šećera pomoću digitalnog refraktometra Hanna Instruments 96801', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 13 May 2024, https://urn.nsk.hr/urn:nbn:hr:200:460554

Međimorec L. Mjerenje razine šećera pomoću digitalnog refraktometra Hanna Instruments 96801 [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2024 May 13] Available at: https://urn.nsk.hr/urn:nbn:hr:200:460554

L. Međimorec, "Mjerenje razine šećera pomoću digitalnog refraktometra Hanna Instruments 96801", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:200:460554

Metadata
TitleMjerenje razine šećera pomoću digitalnog refraktometra Hanna Instruments 96801
Title (english)Measuring sugar levels with a Hanna Instruments 96801 digital refractometer
AuthorLukrecija Međimorec
MentorIvan Aleksi (mentor)
Committee memberIvan Aleksi (predsjednik povjerenstva)
Committee memberGoran Knežević (član povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Computer Engineering)
Osijek
Defense date and country2023-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
Cilj rada je razviti algoritam za prepoznavanje znakova sedam segmentnog pokaznika sa zaslona digitalnog refraktometra. Slika se dohvaća pomoću kamere koja ju šalje putem WiFi veze. Obradom slike dolazi se do parametara koji se predaju modelu koji pomoću modela nasumiĉne šume prepoznaje o kojim se znakovima radi. Rješenje je napravljeno u programskom jeziku Python, ĉime je osigurano da se program moţe pokrenuti u više razvojnih okruţenja te je time program i dostupniji.
Abstract (english)
The goal of this work is to develop an algorithm for character recognition to be used with a seven-segment display of a digital refractometer. An image is acquired using a digital camera that sends it using a wireless connection. Using digital image processing the algorithm obtains parameters which are then passed to a random forest machine learning model which recognizes the displayed characters. The solution was written using Python programming language, which ensures the program can be run in multiple IDEs, making the program widely available.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:460554
Study programmeTitle: Undergraduate professional study programme in Computer Engineering
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (stručni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-09-05 07:11:54