Multi-camera set-up for generating deep learning training data: study of hardware limitations and integration with the user intrface
| dc.contributor.advisorTFE | Galar Idoate, Mikel | |
| dc.contributor.advisorTFE | Paternain Dallo, Daniel | |
| dc.contributor.affiliation | Escuela Técnica Superior de Ingeniería Industrial, Informática y de Telecomunicación | es_ES |
| dc.contributor.affiliation | Industria, Informatika eta Telekomunikazio Ingeniaritzako Goi Mailako Eskola Teknikoa | eu |
| dc.contributor.author | Pascual Casas, Rubén | |
| dc.coverage.spatial | east=-1.6760691; north=42.6953909; name=Navarra, España | |
| dc.date.accessioned | 2021-07-30T07:59:16Z | |
| dc.date.issued | 2021 | |
| dc.date.updated | 2021-07-15T07:20:11Z | |
| dc.description.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 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. | en |
| dc.description.degree | Graduado o Graduada en Ingeniería Informática por la Universidad Pública de Navarra (Programa Internacional) | es_ES |
| dc.description.degree | Informatika Ingeniaritzan Graduatua Nafarroako Unibertsitate Publikoan (Nazioarteko Programa) | eu |
| dc.embargo.inicio | 2021-07-30 | |
| dc.embargo.lift | 2026-07-01 | |
| dc.embargo.terms | 2026-07-01 | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/40287 | |
| dc.language.iso | eng | en |
| dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | |
| dc.subject | Deep learning | en |
| dc.subject | Machine learning | en |
| dc.subject | Emotion detection | en |
| dc.subject | Convolutional neural networks | en |
| dc.subject | Image capture | es_ES |
| dc.subject | Multi-camera setup | en |
| dc.title | Multi-camera set-up for generating deep learning training data: study of hardware limitations and integration with the user intrface | en |
| dc.type | info:eu-repo/semantics/bachelorThesis | |
| dspace.entity.type | Publication | |
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