prikaz prve stranice dokumenta Primjena računalnog vida u održavanju trupa putničkih zrakoplova
  Download
PDF 5.62 MB
master's thesis
Primjena računalnog vida u održavanju trupa putničkih zrakoplova
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:235:742147
Konjevod, Damjan
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

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

Cite this document

Konjevod, D. (2022). Primjena računalnog vida u održavanju trupa putničkih zrakoplova (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:742147

Konjevod, Damjan. "Primjena računalnog vida u održavanju trupa putničkih zrakoplova." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:742147

Konjevod, Damjan. "Primjena računalnog vida u održavanju trupa putničkih zrakoplova." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:742147

Konjevod, D. (2022). 'Primjena računalnog vida u održavanju trupa putničkih zrakoplova', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:742147

Konjevod D. Primjena računalnog vida u održavanju trupa putničkih zrakoplova [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:235:742147

D. Konjevod, "Primjena računalnog vida u održavanju trupa putničkih zrakoplova", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:235:742147

Metadata
TitlePrimjena računalnog vida u održavanju trupa putničkih zrakoplova
Title (english)Application of computer vision in the maintenance of the fuselage of passenger aircraft
AuthorDamjan Konjevod
MentorDragutin Lisjak (mentor)
Committee memberDarko Ivančević (predsjednik povjerenstva)
Committee memberMilan Vrdoljak (član povjerenstva)
Committee memberIvica Smojver (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2022-05-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Aviation, Rocket and Space Technology
Aviation Technology and Maintenance
Abstract
U ovome radu razvijena je aplikacija za inspekciju trupa putničkih zrakoplova primjenom tehnologije računalnog vida. Objašnjeni su problemi trenutnog procesa održavanja i prikazana su tipična oštećenja trupa zrakoplova. U trećem je poglavlju dan uvod u tehnologiju računalnog vida, prikazane su njezine tipične zadaće i ukratko su objašnjene različite vrste detektora. Prikazana je primjena konvolucijskih neuronskih mreža, njihova struktura i način na koji funkcioniraju. Za detekciju anomalija izabran je YOLO algoritam, objašnjena je njegova struktura i razlike između različith verzija modela. Detaljno je prikazan proces kreiranja i treniranja konvolucijske neuronske mreže kao i različith verzija YOLO detektora anomalija u programskom paketu MATLAB. Na kraju rada provedena je usporedba rezultata te je izveden zaključak.
Abstract (english)
In this paper, an application for the inspection of the fuselage of passenger aircraft using computer vision technology was developed. The problems of the current maintenance process are explained and typical damage to the fuselage is shown. The third chapter introduces computer vision technology, presents its typical tasks, and briefly explains the different types of detectors. The application of convolutional neural networks, their structure and the way they function are presented. The YOLO algorithm was chosen to detect anomalies, its structure and differences between different versions of the model were explained. The process of creating and training a convolutional neural network as well as different versions of YOLO anomaly detectors in the MATLAB software package is presented in detail. At the end of the paper, a comparison of the results was made and a conclusion was drawn.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:742147
Study programmeTitle: Aeronautical Studies
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka zrakoplovnog inženjerstva (magistar/magistra inženjer/inženjerka zrakoplovnog inženjerstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Embargo expiration date: 2024-05-11
Terms of useLicence In copyright icon
Created on2022-05-11 15:29:10