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master's thesis
Web aplikacija za nadgledanje prostora temeljena na umjetnoj inteligenciji
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:235:017002
Horvat, Nikolai Ivan
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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Horvat, N. I. (2022). Web aplikacija za nadgledanje prostora temeljena na umjetnoj inteligenciji (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:017002

Horvat, Nikolai Ivan. "Web aplikacija za nadgledanje prostora temeljena na umjetnoj inteligenciji." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:017002

Horvat, Nikolai Ivan. "Web aplikacija za nadgledanje prostora temeljena na umjetnoj inteligenciji." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:017002

Horvat, N. I. (2022). 'Web aplikacija za nadgledanje prostora temeljena na umjetnoj inteligenciji', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 18 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:017002

Horvat NI. Web aplikacija za nadgledanje prostora temeljena na umjetnoj inteligenciji [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2022 [cited 2024 December 18] Available at: https://urn.nsk.hr/urn:nbn:hr:235:017002

N. I. Horvat, "Web aplikacija za nadgledanje prostora temeljena na umjetnoj inteligenciji", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:235:017002

Metadata
TitleWeb aplikacija za nadgledanje prostora temeljena na umjetnoj inteligenciji
Title (english)Web application for spatial monitoring based on artificial intelligence
AuthorNikolai Ivan Horvat
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2022-07-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Računalni vid interdisciplinarno je područje koje obuhvaća mnoge grane poput inženjerstva, računarstva, matematike, ali i biologije, fizike i psihologije. Ono omogućuje računalima da vide, tj. da procesiraju i prepoznaju objekte na slici kao što to mogu ljudi. S obzirom da se dnevno objavljuje i više od četiri milijarde slika, javlja se potreba za razvojem novih i bržih algoritama koji omogućuju napredak računalnom vidu. Uzimajući u obzir današnje trendove razvoja i dizajna, u ovom je radu razvijena web aplikacija za nadzor prostora. Ona predstavlja sučelje između korisnika i sustava u kojem je prikazan pogled kamere u stvarnom vremenu i preko kojeg korisnik može pregledati videozapise u arhivi. Kao okidač spremanja videozapisa na raspolaganju su dva poznata modela strojnog učenja koja se mogu koristiti za praćenje – detekcija lica temeljena na Haar značajkama (algoritam Viola-Jones) i detekcija pokreta optical flow. Na kraju rada provedena je evaluacija aplikacije koja uključuje ljudske subjekte.
Abstract (english)
Computer vision is an interdisciplinary field that includes many areas such as engineering, computing, mathematics, but also biology, physics and psychology. It gives computer the ability to see – to process and recognize objects in an image as humans can. Given that more than four billion images are published daily, there is a need for the development of new and faster algorithms that enable computer vision to progress. Considering today's development and design trends, a web application for space monitoring was developed in this paper. It represents an interface between the user and the system in which the camera view is displayed in real time and through which the user can browse the videos in the archive. The trigger to save the videos are two of the famous machine learning models that can be used for tracking - face detection based on Haar features (Viola-Jones algorithm) and optical flow motion detection. At the end of the paper, an evaluation of the web application involving human subjects was carried out.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:017002
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 on2022-07-15 10:49:47