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undergraduate thesis
Sustav za detekciju, prepoznavanje i interakciju s ljudima
2023. urn:nbn:hr:190:952175
Prpić, Rea
University of Rijeka
Faculty of Engineering
Department of Computer Engineering

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Prpić, R. (2023). Sustav za detekciju, prepoznavanje i interakciju s ljudima (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:952175

Prpić, Rea. "Sustav za detekciju, prepoznavanje i interakciju s ljudima." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:952175

Prpić, Rea. "Sustav za detekciju, prepoznavanje i interakciju s ljudima." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:952175

Prpić, R. (2023). 'Sustav za detekciju, prepoznavanje i interakciju s ljudima', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 18 December 2024, https://urn.nsk.hr/urn:nbn:hr:190:952175

Prpić R. Sustav za detekciju, prepoznavanje i interakciju s ljudima [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2023 [cited 2024 December 18] Available at: https://urn.nsk.hr/urn:nbn:hr:190:952175

R. Prpić, "Sustav za detekciju, prepoznavanje i interakciju s ljudima", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:190:952175

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Metadata
TitleSustav za detekciju, prepoznavanje i interakciju s ljudima
Title (english)A system for detecting, recognising and interacting with people
AuthorRea Prpić
MentorIvan Štajduhar (mentor)
Committee memberMiroslav Joler (predsjednik povjerenstva)
Committee memberIvan Štajduhar (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
Rijeka
Defense date and country2023-09-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U ovome završnom radu predstavljen je sustav implementiran na ugradbenoj arhitekturi Raspberry Pi 3 - Model B, koji koristi funkcionalnosti OpenCV biblioteke za detekciju i prepoznavanje lica. Korištenjem automata konačnih stanja postignuta je strukturirana kontrola nad različitim funkcijama i interakcijama unutar aplikacije. Zahvaljujući višedretvenom pristupu, aplikacija može paralelno upravljati logikom obrade i prikazivanjem video zapisa u stvarnom vremenu. Korisničko sučelje koje omogućuje korisnicima personaliziranu interakciju sa sustavom implementirano je kroz PyQt5 biblioteku.
Abstract (english)
In this final paper, a system is introduced that is implemented on the embedded architecture Raspberry Pi 3 - Model B and utilizes the functionalities of the OpenCV library for face detection and recognition. Using a finite state machine, structured control over various functions and interactions within the application has been achieved. Thanks to the multithreaded approach, the application can concurrently manage processing logic and display UI elements, such as the video feed, in real-time. The user interface, which allows users personalized interaction with the system, is implemented through the PyQt5 library.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:952175
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-09-13 21:31:09