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master's thesis
"Pametna rukavica" za pomoć slabovidnim osobama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:193924
Rajković, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Rajković, M. (2021). "Pametna rukavica" za pomoć slabovidnim osobama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:193924

Rajković, Matej. ""Pametna rukavica" za pomoć slabovidnim osobama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:193924

Rajković, Matej. ""Pametna rukavica" za pomoć slabovidnim osobama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:193924

Rajković, M. (2021). '"Pametna rukavica" za pomoć slabovidnim osobama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:193924

Rajković M. "Pametna rukavica" za pomoć slabovidnim osobama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:193924

M. Rajković, ""Pametna rukavica" za pomoć slabovidnim osobama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:193924

Metadata
Title"Pametna rukavica" za pomoć slabovidnim osobama
Title (english)"Smart Glove Assistant" for Visually Impaired People
AuthorMatej Rajković
MentorDina Šimunić (mentor)
Committee memberDina Šimunić (predsjednik povjerenstva)
Committee memberKrešimir Malarić (član povjerenstva)
Committee memberRadovan Zentner (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu su implementirani postupci za prepoznavanje i praćenje predmeta kao rješenje problema dohvaćanja predmeta slabovidnih osoba. Navedena je implementacija Single Shot MultiBox Detector mreže za računalni vid koja daje dobre rezultate za prepoznavanje predmeta, ali se teško skalira te brzina izvođenja ovisi o željenoj preciznosti. Pojašnjeni su slojevi mreže te njihova implementacija i postupak treniranja korištenjem razvojnog okvira PyTorch. Za praćenje predmeta je implementiran MOSSE filter i navedene su prednosti korištenja metoda za praćenje temeljenih na korelacijskim filterima. Program je izgrađen i optimiziran za Raspberry Pi računalo s vibracijskim motorima za usmjeravanje osobe i senzorom udaljenosti za pravovremeno zaustavljanje rada programa.
Abstract (english)
This paper implements methods for object detection and tracking designed for the visually impaired. Object detection problem was resolved with the implementation of Single Shot MultiBox Detector, a powerful and precise deep neural network, but challenging to scale and computationally expensive. The paper gives an overview of implementation of the network and network training using the PyTorch framework. The MOSSE filter is chosen and implemented for the task of object tracking. The paper lists advantages of correlation filter based approaches for object tracking. Final program is built and optimized for a Raspberry Pi device. It is connected to vibration motors to guide the visually impaired utilizing a tactical response of the motors and a distance sensor to terminate the program on time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:193924
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
Access conditionsClosed access
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Created on2023-01-13 10:39:58