Multi-camera set-up for generating deep learning training data: study of hardware limitations and integration with the user intrface

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2026-07-01
Date
2021Author
Version
Acceso embargado 5 años / 5 urteko bahitura
Type
Trabajo Fin de Grado/Gradu Amaierako Lana
Impact
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nodoi-noplumx
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Abstract
This project is part of the Emotional Films project from the Public University of Navarra. More
specifically it encompasses the image/video collection phase for the training of deep learning
models.
The project will focus on a study of the hardware limitations in the generation of the database
and more specifically on the design of part of the application and integration of the cameras with
...
[++]
This project is part of the Emotional Films project from the Public University of Navarra. More
specifically it encompasses the image/video collection phase for the training of deep learning
models.
The project will focus on a study of the hardware limitations in the generation of the database
and more specifically on the design of part of the application and integration of the cameras with
it. For this, the following topics will be discussed: Market study with the different webcam options
to use in the project. Study of properties and configuration of webcams in Python. Analysis of USB
bandwidth consumption by webcams. Carrying out synchronization tests for taking pictures and
videos. Study of the time it takes to take pictures and save images with several cameras. Study of
storage options and possible size of the database. Finally, the integration of multi-camera capture
with the data capture application. [--]
Subject
Deep learning,
Machine learning,
Emotion detection,
Convolutional neural networks,
Image capture,
Multi-camera setup
Degree
Graduado o Graduada en Ingeniería Informática por la Universidad Pública de Navarra (Programa Internacional) /
Informatika Ingeniaritzan Graduatua Nafarroako Unibertsitate Publikoan (Nazioarteko Programa)