DETEÇÃO E PREVENÇÃO DA SONOLÊNCIA ATRAVÉS DO RECONHECIMENTO ARTIFICIAL DE CARACTERÍSTICAS

Main Article Content

Damiana Guedes
https://orcid.org/0000-0001-6951-1835
Miguel Mota
https://orcid.org/0000-0002-0987-0358
Daniel Azevedo
https://orcid.org/0000-0002-8927-4213
Pedro Lopes
https://orcid.org/0000-0002-4644-5748
Francisco Soares
https://orcid.org/0009-0007-6191-2205

Resumo

Em Portugal, no ano de 2022, registaram-se 32.788 acidentes rodoviários. Entre as causas identificadas, a fadiga do condutor surgiu como o segundo maior contribuinte para estes incidentes. Os esforços para abordar esta questão resultaram no desenvolvimento de legislação ao longo dos anos. Simultaneamente, alinhando-se com as iniciativas da União Europeia, a Fédération Internationale de l'Automobile (FIA) tem promovido ativamente a colaboração com a indústria automóvel para integrar sistemas de reforço da segurança nos veículos, com o objetivo de atenuar desafios como a fadiga do condutor. A estratégia proposta representa uma solução intermediária, colmatando a lacuna entre a segurança proporcionada pelos sistemas de bordo e a acessibilidade oferecida pelos sistemas móveis. O objetivo global do projeto é assegurar a relação custo-eficácia, a eficiência e a aplicabilidade generalizada. Tirando partido da tecnologia Face API da Microsoft, o projeto procura capitalizar a inteligência artificial para desbloquear uma série de funcionalidades, realizando assim tarefas que anteriormente eram consideradas impraticáveis ou financeiramente onerosas.

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Guedes, D., Mota, M., Azevedo, D., Lopes, P., & Soares, F. (2023). DETEÇÃO E PREVENÇÃO DA SONOLÊNCIA ATRAVÉS DO RECONHECIMENTO ARTIFICIAL DE CARACTERÍSTICAS. E3 — Revista De Economia, Empresas E Empreendedores Na CPLP, 9(2), 37–46. https://doi.org/10.29073/e3.v9i2.873
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Biografias Autor

Damiana Guedes, Instituto Politécnico de Viseu - ESTGL

.

Miguel Mota, CERNAS-IPV Research Centre, Polytechnic Institute of Viseu

Miguel Mota

CERNAS-IPV Research Centre, Polytechnic Institute of Viseu

Daniel Azevedo, CISeD - Research Centre in Digital Services, Polytechnic Institute of Viseu

Daniel Azevedo

CISeD - Research Centre in Digital Services, Polytechnic Institute of Viseu

Pedro Lopes, Polytechnic Institute of Viseu - School of Technology and Management of Lamego.

Pedro Lopes

 

Polytechnic Institute of Viseu - School of Technology and Management of Lamego.

Francisco Soares, Polytechnic Institute of Viseu - School of Technology and Management of Lamego.

Francisco Soares

Polytechnic Institute of Viseu - School of Technology and Management of Lamego.

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