Thesis Details

Rozpoznávání osob podle obličeje s využitím Neural Compute Stick

Bachelor's Thesis Student: Horník Matej Academic Year: 2021/2022 Supervisor: Goldmann Tomáš, Ing.
Language
Slovak
Abstract

This bachelor thesis deals with current techniques for recognizing people by face. Convolutional neural networks are currently used for face recognition. In this work, convolutional neural networks will be described and also the architectures of convolutional networks used for face recognition will be compared. The goal will be to create a built-in system that will consist of a camera, a computing unit and a Neural Compute Stick accelerator. The system will recognize people by face with a freely available algorithm. 

Keywords

face recognition, neural network, convolutional neural network, machine learning, artificial intelligence, Neural Compute Stick.

Department
Degree Programme
Files
Status
not defended
Date
16 June 2022
Reviewer
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Bidlo Michal, Ing., Ph.D. (DCSY FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Musil Miloš, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
HORNÍK, Matej. Rozpoznávání osob podle obličeje s využitím Neural Compute Stick. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-16. Supervised by Goldmann Tomáš. Available from: https://www.fit.vut.cz/study/thesis/24823/
BibTeX
@bachelorsthesis{FITBT24823,
    author = "Matej Horn\'{i}k",
    type = "Bachelor's thesis",
    title = "Rozpozn\'{a}v\'{a}n\'{i} osob podle obli\v{c}eje s vyu\v{z}it\'{i}m Neural Compute Stick",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/24823/"
}
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