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master's thesis
Izrada sigurnosnog sustava temeljena na Raspberry PI mikrokontroleru
2020. urn:nbn:hr:190:048364
Sviličić, Laren
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Electronics, Robotics and Automation

Cite this document

Sviličić, L. (2020). Izrada sigurnosnog sustava temeljena na Raspberry PI mikrokontroleru (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:048364

Sviličić, Laren. "Izrada sigurnosnog sustava temeljena na Raspberry PI mikrokontroleru." Master's thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:048364

Sviličić, Laren. "Izrada sigurnosnog sustava temeljena na Raspberry PI mikrokontroleru." Master's thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:048364

Sviličić, L. (2020). 'Izrada sigurnosnog sustava temeljena na Raspberry PI mikrokontroleru', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:048364

Sviličić L. Izrada sigurnosnog sustava temeljena na Raspberry PI mikrokontroleru [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2020 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:190:048364

L. Sviličić, "Izrada sigurnosnog sustava temeljena na Raspberry PI mikrokontroleru", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:190:048364

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Metadata
TitleIzrada sigurnosnog sustava temeljena na Raspberry PI mikrokontroleru
Title (english)Development of a security system based on Raspberry Pi mictrocontroller
AuthorLaren Sviličić
MentorZlatan Car (mentor)
Committee memberNeven Bulić (predsjednik povjerenstva)
Committee memberZlatan Car (član povjerenstva)
Committee memberDario Matika (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Electronics, Robotics and Automation)
Rijeka
Defense date and country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Ovaj diplomski rad opisuje primjenu i način djelovanja umjetne inteligencije i konvolucijske neuronske mreže za svrhe prepoznavanja osobnog identiteta, odnosno verifikacije osobe usporedbom fotografije lica i glasa pri izgovoru ključne riječi. Tako je potrebno kreirati dva zasebna klasifikacijska modela umjetne neuronske mreže za predikciju lica i glasa. Izrada takvog sigurnosnog sustava ostvarena je pomoću strojnog učenja te je u konačnici implementirana na Raspberry Pi 3 mikrokontroleru s web kamerom i njezinim integriranim mikrofonom. Upotreba i prikaz aplikacije prikazano je uz pomoć grafičkog korisničkog sučelja pomoću kojeg korisnik ima pregled aktualne ostvarene predikcije u stvarnom vremenu.
Abstract (english)
This thesis describes the application and operation of artificial intelligence and convolutional neural networks for the purpose of recognizing personal identity or verification of a person by comparing a photograph of face and voice when pronouncing a keyword. Thus, it is necessary to create two separate classification models of artificial neural network for face and voice prediction. The creation of such a security system is achieved through machine learning and was ultimately implemented on a Raspberry Pi 3 microcontroller with a webcam and its integrated microphone. The use and display of the application is shown with a graphical user interface through which the user has an overview of the current realized prediction in real time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:048364
Study programmeTitle: Graduate University Study of Electrical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2020-12-03 09:45:45