prikaz prve stranice dokumenta Automatsko otkrivanje umora vozača
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master's thesis
Automatsko otkrivanje umora vozača
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:216484
Bojanovsky, Veno
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bojanovsky, V. (2015). Automatsko otkrivanje umora vozača (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:216484

Bojanovsky, Veno. "Automatsko otkrivanje umora vozača." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:216484

Bojanovsky, Veno. "Automatsko otkrivanje umora vozača." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:216484

Bojanovsky, V. (2015). 'Automatsko otkrivanje umora vozača', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:216484

Bojanovsky V. Automatsko otkrivanje umora vozača [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 June 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:216484

V. Bojanovsky, "Automatsko otkrivanje umora vozača", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:216484

Metadata
TitleAutomatsko otkrivanje umora vozača
Title (english)Automatic driver drowsiness detection
AuthorVeno Bojanovsky
MentorIgor Sunday Pandžić (mentor)
Committee memberIgor Sunday Pandžić (predsjednik povjerenstva)
Committee memberMario Kušek (član povjerenstva)
Committee memberLea Skorin-Kapov (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad iznosi opasnost umora vozača u prometu, koji u moderno vrijeme postaje rješiv pravovremenom detekcijom umora. Kao metoda s najvećim potencijalom otkrivanja umora, u radu se koristi tehnologija praćenja lica, konkretno Visage FaceTracker. Opisana je problematika vezana uz objektivno ocjenjivanje umora i različite načine na koji se u različitim uvjetima manifestira. Korištenjem parametara nagiba glave, otvorenosti očiju i ustiju, kroz obradu video datoteka s primjerima elemenata umora, pronalaze se optimalne vrijednosti parametara za otkrivanje umora. Konačno, korištenjem dobivenih parametara se obrađuju video datoteke sa stvarnim primjerima umora te su dani i opisani dobiveni rezultati koji pokazuju razumnu preciznost, obzirom na opseg i kompleksnost problema.
Abstract (english)
The perils of driver fatigue are becoming solvable in modern times, using fatigue detection systems. Given its potential, face tracking technology, the Visage FaceTracker, was explored and used in constructing a driver fatigue detection system. Problems regarding objectively determining the level of fatigue and the various ways it manifests itself are described. Using head rotation, along with level of eye and mouth openness, as parameters, numerous video files containing elements of fatigue were processed in order to obtain optimal threshold values for the parameters. Finally, using the optimal values for the parameters, video files containing footage of drowsy and awake people was used to fine tune the values and assert the successfulness of the system. The results show that driver fatigue can be detected using face tracking software, however the degree of its precision warrants more testing fine-tuning.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:216484
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 07:57:24