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master's thesis
Duboko učenje za automatizirano praćenje upotrebe zaštitne odjeće i opreme
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:404189
Rosandić, Nika
University of Zagreb
Faculty of Electrical Engineering and Computing

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Rosandić, N. (2020). Duboko učenje za automatizirano praćenje upotrebe zaštitne odjeće i opreme (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:404189

Rosandić, Nika. "Duboko učenje za automatizirano praćenje upotrebe zaštitne odjeće i opreme." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:404189

Rosandić, Nika. "Duboko učenje za automatizirano praćenje upotrebe zaštitne odjeće i opreme." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:404189

Rosandić, N. (2020). 'Duboko učenje za automatizirano praćenje upotrebe zaštitne odjeće i opreme', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:404189

Rosandić N. Duboko učenje za automatizirano praćenje upotrebe zaštitne odjeće i opreme [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:404189

N. Rosandić, "Duboko učenje za automatizirano praćenje upotrebe zaštitne odjeće i opreme", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:404189

Metadata
TitleDuboko učenje za automatizirano praćenje upotrebe zaštitne odjeće i opreme
Title (english)Deep learning for Monitoring of Personal Protective Equipment Usage
AuthorNika Rosandić
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
Committee memberMirko Poljak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu razmatra se primjena dubokog učenja kod praćenja zaštitne odjeće i opreme, primarno pri radu u industrijskim postrojenjima. Opisuje se korištenje dubokog učenja u računalnom vidu i objašnjavaju metode dubokog učenja. Navode se već postojeća rješenja problema automatiziranog praćenja zaštitne opreme i obrađuje se problem praćenja više objekata. Detaljno se objašnjavaju korišteni algoritmi, YOLO i SORT, te prikazuju rezultati učenja i testiranja korištene mreže. Mreža je učena na skupu slika ljudi u različitim situacijama te zatim testirana u stvarnom vremenu putem kamere računala.
Abstract (english)
This thesis analyzes the use of deep learning in personal protective equipment tracking, mainly in industrial plants and factories. It describes general use of deep learning in computer vision and explains its methods. Existing solutions for personal protective equipment monitoring are listed and the multiple object tracking problem is addressed. Algorithms used in the solution, YOLO and SORT, are explained in detail, and the results of learning and testing the network used are presented. The network was trained on a set of images of people in different situations and then tested via computer camera.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:404189
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 13:44:15