DROWSINESS DETECTION AND PREVENTION USING ARTIFICIAL FEATURE RECOGNITION

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

Abstract

In Portugal, in the year 2022, there were 32.788 reported road accidents. Among the identified causes, driver fatigue emerged as the second major contributor to these incidents. Efforts to address this issue have resulted in the development of legislation over the years. Concurrently, aligning with initiatives in the European Union, the Fédération Internationale de l'Automobile (FIA) has actively promoted collaboration with the automotive industry to integrate safety-enhancing systems in vehicles, aiming to alleviate challenges such as driver fatigue.


The proposed strategy represents an intermediary solution, bridging the gap between the security provided by in-vehicle systems and the accessibility offered by mobile systems. The project's overarching goal is to ensure cost-effectiveness, efficiency, and widespread applicability. Leveraging Microsoft's Face API technology, the project seeks to capitalize on artificial intelligence to unlock a range of features, thereby achieving tasks that were previously deemed impractical or financially burdensome.

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How to Cite
Guedes, D., Mota, M., Azevedo, D., Lopes, P., & Soares, F. (2023). DROWSINESS DETECTION AND PREVENTION USING ARTIFICIAL FEATURE RECOGNITION. E3 — Revista De Economia, Empresas E Empreendedores Na CPLP, 9(2), 37–46. https://doi.org/10.29073/e3.v9i2.873
Section
Articles
Author Biographies

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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