diplomsko delo
Anže Galun (Author), Iztok Fister (Mentor)

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;programski jezik Python;knjižnica OpenCV;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [A. Galun]
UDC: 004.93'1(043.2)
COBISS: 90096643 Link will open in a new window
Views: 275
Downloads: 51
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Other data

Secondary language: English
Secondary title: Face recognition using machine learning on a Raspberry-Pi device
Secondary 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
Secondary keywords: Raspberry-Pi;face recognition;Python;OpenCV;
Type (COBISS): Bachelor thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages: [XV, 53] str.
ID: 13322321