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Title:Razpoznavanje obrazov s pomočjo strojnega učenja na napravi Raspberry-Pi : diplomsko delo
Authors:ID Galun, Anže (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
Files:.pdf VS_Galun_Anze_2021.pdf (16,67 MB)
MD5: A8B57C92D92849B05CAB13E266B773B9
PID: 20.500.12556/dkum/5614695c-1891-4069-ac79-4a1d8eca1b5d
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo raziskovali svet biometričnih sistemov, bolj podrobno metodo razpoznavanja obrazov in jih opisali. V raziskavi smo se osredotočili na razvoj programske opreme razpoznavanja obrazov v obsegu, ki nam jih je ponudila naprava Raspberry-Pi, ter programski jezik Python in uporaba obsežne knjižnice imenovane OpenCV, s pomočjo katerih je bilo možno razvijanje metode za razpoznavanje obrazov s pomočjo strojnega učenja. Po ustvarjeni programski rešitvi smo uporabnost in namen diplomskega dela predstavili na primeru odklepanja fizičnega miniaturnega primera škatle.
Keywords:: Raspberry-Pi, razpoznavanje obrazov, Python, OpenCV
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Galun]
Year of publishing:2021
Number of pages:[XV, 53] str.
PID:20.500.12556/DKUM-80285 New window
UDC:004.93\'1(043.2)
COBISS.SI-ID:90096643 New window
Publication date in DKUM:18.10.2021
Views:1047
Downloads:108
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
GALUN, Anže, 2021, Razpoznavanje obrazov s pomočjo strojnega učenja na napravi Raspberry-Pi : diplomsko delo [online]. Bachelor’s thesis. Maribor : A. Galun. [Accessed 17 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=80285
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:07.09.2021

Secondary language

Language:English
Title:Face recognition using machine learning on a Raspberry-Pi device
Abstract:We researched the world of biometric systems, a more detailed method of facial recognition, and described them in this thesis. The research focused on the development of the facial recognition software offered bythe Raspberry-Pi platform, the Python programming language and the useof an extensive library called OpenCV, which made it possible to develop a method for recognising faces using Machine Learning. After creating the software solution, we presented the usability and purpose of the diploma thesis with the help of a physical miniature example of a box
Keywords:Raspberry-Pi, face recognition, Python, OpenCV


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