Publication
Implementation of AI-Powered Computer Vision Systems for Edge Devices Using Yolo and Face API
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| dc.contributor.advisor | Maximiano, Marisa da Silva | |
| dc.contributor.author | Santos, João Rebelo dos | |
| dc.date.accessioned | 2025-12-29T15:09:50Z | |
| dc.date.available | 2025-12-29T15:09:50Z | |
| dc.date.issued | 2025-12-05 | |
| dc.description.abstract | por | |
| dc.identifier.tid | 204095360 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/15202 | |
| dc.language.iso | eng | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Sistema de Inteligência Artificial | |
| dc.subject | Modelo Leve YOLO Nano | |
| dc.subject | Aplicação de reconhecimento facial | |
| dc.subject | Modelo Face-apis.js | |
| dc.subject | Computação móvel | |
| dc.title | Implementation of AI-Powered Computer Vision Systems for Edge Devices Using Yolo and Face API | |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| thesis.degree.name | Mestrado em Engenharia Informática – Computação Móvel |
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