Razpoznavanje obrazov s pomočjo strojnega učenja na napravi Raspberry-Pi

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:	2021
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
Views:	275
Downloads:	51
Average score:	0 (0 votes)
Metadata:

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