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master's thesis
Sustav za automatsko optičko očitanje digitalnih prikaznika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:338880
Škorić, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Škorić, L. (2018). Sustav za automatsko optičko očitanje digitalnih prikaznika (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:338880

Škorić, Luka. "Sustav za automatsko optičko očitanje digitalnih prikaznika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:338880

Škorić, Luka. "Sustav za automatsko optičko očitanje digitalnih prikaznika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:338880

Škorić, L. (2018). 'Sustav za automatsko optičko očitanje digitalnih prikaznika', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:338880

Škorić L. Sustav za automatsko optičko očitanje digitalnih prikaznika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 October 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:338880

L. Škorić, "Sustav za automatsko optičko očitanje digitalnih prikaznika", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:338880

Metadata
TitleSustav za automatsko optičko očitanje digitalnih prikaznika
Title (english)Automatic Optical Readout System for Digital Displays
AuthorLuka Škorić
MentorDavor Petrinović (mentor)
Committee memberDavor Petrinović (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberNikola Banić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U okviru ovog rada razvijen je programski sustav namjenjen automatskom optičkom očitavanju sadržaja digitalnih prikaznika. Razvijeni sustav objedinjuje algoritam lokalizacije prikaznika unutar učitane slike, predobradu sadržaja prikaznika i segmentaciju promatranog zapisa lokalizacijom znakova. Značenje pojedinog lokaliziranog znaka prepoznaje se obradom od strane tri, u tu svrhu implementirana algoritma. Algoritmom usporedbe slike sa zadanim predloškom, direktno se iz prikaza lokaliziranog znaka saznaje tražena informacija, dok algoritmi neuronske mreže i K najbližeg susjeda to ostvaruju primjenom metoda strojnog učenja. Za potrebe učenja i testiranja navedenih algoritama strojnog učenja kreirana je baza podataka sa slikama 7 – segmentnog formata. Razvijeni programski sustav potpunu funkcionalnost ostvaruje implementacijom na ugradbenom računalu s odgovarajućim ulazno - izlaznim periferijama. Takvi sustavi primjenu pronalaze u polju mjeriteljstva, nadzora ili automatiziranog upravljanja.
Abstract (english)
This thesis describes the course of development of an automatized system for optical readout of the content from digital displays. The developed system implements various algorithms with tasks of localizing a display within the input picture, pre - processing of the localized content and segmentation of the observed sequence by character localization methods. Value of the observed localized character is recognized by three different algorithms implemented for this purpose. Template comparison algorithm has the capability of direct extraction of sought after information form the content of the input image. Neural network and K nearest neighbour algorithms accomplish that task by applying the methods of machine learning. Special database of 7 – segment character images has been created for the purpose of training and testing earlier mentioned algorithms. The developed application accomplishes its full functionality when implemented within the embedded computer with appropriate input - output peripherals. Such systems can be used for purposes of metrology, surveillance and automated control.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:338880
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2019-03-14 01:19:34