prikaz prve stranice dokumenta Detekcija stanja vozača u stvarnom vremenu
Embargo period 2029-12-05
master's thesis
Detekcija stanja vozača u stvarnom vremenu
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. urn:nbn:hr:235:424534
Kordiš, Šimun
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

Kordiš, Š. (2024). Detekcija stanja vozača u stvarnom vremenu (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:424534

Kordiš, Šimun. "Detekcija stanja vozača u stvarnom vremenu." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:424534

Kordiš, Šimun. "Detekcija stanja vozača u stvarnom vremenu." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2024. https://urn.nsk.hr/urn:nbn:hr:235:424534

Kordiš, Š. (2024). 'Detekcija stanja vozača u stvarnom vremenu', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 19 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:424534

Kordiš Š. Detekcija stanja vozača u stvarnom vremenu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2024 [cited 2024 December 19] Available at: https://urn.nsk.hr/urn:nbn:hr:235:424534

Š. Kordiš, "Detekcija stanja vozača u stvarnom vremenu", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:235:424534

Metadata
TitleDetekcija stanja vozača u stvarnom vremenu
Title (english)Real-time driver state detection
AuthorŠimun Kordiš
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2024-12-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U ovom će se radu dati potencijalno rješenje za problem automatskog prepoznavanja stanja vozača u stvarnom vremenu, koristeći napredne tehnologije za analizu i detekciju lica. Cilj je razviti sustav koji može detektirati različite aspekte stanja vozača kao što su pospanost, ometenost ili promjene u fokusu pažnje vozača, te na temelju tih podataka pravovremeno upozoriti vozača, a daljnjim razvojem i integracijom tehnologije s vozilom čak i poduzeti automatske sigurnosne mjere poput sigurnosnog zaustavljanja vozila.
Abstract (english)
This paper proposes a potential solution to the problem of real-time automatic driver state recognition using advanced facial analysis and detection technologies. The goal is to develop a system capable of detecting various aspects of a driver’s state, such as tiredness, distraction, or changes in attention, and providing timely alerts based on this data. With further development and integration with the vehicle, the system could even implement automatic safety measures, such as safely stopping the vehicle.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:424534
Study programmeTitle: Mechanical Engineering; specializations in: Design, Process and Energy Engineering, Production Engineering, Engineering Modelling and Computer Simulation, Marine Engineering, Industrial Engineering and Management, Materials Engineering, Mechanics and Robotics, Autonomous Systems, Mechatronics and Robotics
Course: Autonomous Systems
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva (sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsEmbargoed access
Embargo expiration date: 2029-12-05
Terms of useLicence In copyright icon
Created on2024-12-06 16:36:18