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master's thesis
Primjena računalnog vida kod prepoznavanja i interpretacije znakovnog pisma
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. urn:nbn:hr:235:896659
Pačić, Ira
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Pačić, I. (2024). Primjena računalnog vida kod prepoznavanja i interpretacije znakovnog pisma (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:896659

Pačić, Ira. "Primjena računalnog vida kod prepoznavanja i interpretacije znakovnog pisma." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:896659

Pačić, Ira. "Primjena računalnog vida kod prepoznavanja i interpretacije znakovnog pisma." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:896659

Pačić, I. (2024). 'Primjena računalnog vida kod prepoznavanja i interpretacije znakovnog pisma', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:896659

Pačić I. Primjena računalnog vida kod prepoznavanja i interpretacije znakovnog pisma [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2024 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:235:896659

I. Pačić, "Primjena računalnog vida kod prepoznavanja i interpretacije znakovnog pisma", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:235:896659

Metadata
TitlePrimjena računalnog vida kod prepoznavanja i interpretacije znakovnog pisma
Title (english)Application of computer vision in the recognition and interpretation of sign letters
AuthorIra Pačić
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2024-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Računalni vid se svojim razvojem proširio na brojne grane, pa tako i na pomaganje ljudima sa svakodnevnim poteškoćama s kojima se susreću. U ovom radu pokazana je primjena računalnog vida kod prepoznavanja i interpretacije znakovnog jezika u programskom jeziku Python koristeći OpenCV i MediaPipe biblioteke. Prije izrade modela navedeno je teorijsko upoznavanje sa pojmovima i bibliotekama potrebnim za izradu modela,te je zatim objašnjen programski kôd koji raspoznaje slova znakovnog jezika. Na kraju se evaluira dobiveno rješenje i opisuju načini za poboljšanje modela.
Abstract (english)
With its development, computer vision has spread to numerous branches, including helping people with everyday difficulties they face. In this paper, the application of computer vision in the recognition and interpretation of sign language in the Python programming language using the OpenCV and MediaPipe libraries is demonstrated. Before creating the model, we have a theoretical introduction to the concepts and libraries necessary for creating the model, and then the program code that recognizes the letters of the sign language is explained. At the end, the obtained solution is evaluated and ways to improve the model are described
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:896659
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-12 08:17:46