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Using Artificial Intelligence to Prevent Drowsiness Based on Facial Recognition

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Developments and Advances in Defense and Security (MICRADS 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 380))

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Abstract

In Portugal, in 2017, there were 34,416 accidents on the roads. It is estimated that the second major cause of accidents is driver fatigue. In this way, over the years, legislation has been created to mitigate the problem. In parallel with the European Union, the Fédération Internationale de l'Automobile (FIA) has encouraged the automotive industry to develop systems embedded in vehicles to increase their safety and mitigate this and other problems. This approach is intended to be an intermediate solution, as to be the in-between the security of a system embedded in a vehicle and the accessibility of a mobile system. In this way, the project aims to be as cheap, fast, and applicable as possible. Using Face API technology provided by Microsoft, it is possible to have access to a set of features based on artificial intelligence, accomplishing tasks previously unthinkable, or very costly.

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Acknowledgements and Funding

This work is funded by National Funds through the FCT—Foundation for Science and Technology, I.P., within the scope of the project Ref. UIDB/05583/2020. Furthermore, we would like to thank the Research Centre in Digital Services (CISeD) and the Instituto Politécnico de Viseu for their support

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Authors and Affiliations

  1. CISeD—Research Centre in Digital Services, Instituto Politécnico de Viseu, Viseu, Portugal

    Daniel Azevedo

  2. Polytechnic Institute of Viseu—School of Technology and Management of Lamego, Avenida Visconde Guedes Teixeira, 5100-074, Lamego, Portugal

    Damiana Guedes, Gonçalo Santos, Francisco Soares & Pedro Lopes

Authors
  1. Daniel Azevedo
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  2. Damiana Guedes
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  3. Gonçalo Santos
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  4. Francisco Soares
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  5. Pedro Lopes
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Corresponding author

Correspondence to Damiana Guedes .

Editor information

Editors and Affiliations

  1. Gab. 101, ISEG, Universidade de Lisboa, LISBOA, Portugal

    Álvaro Rocha

  2. Escuela Superior de Administración Pública – ESAP, Cali, Valle del Cauca, Colombia

    Carlos Hernán Fajardo-Toro

  3. Barrio El Bosque, Escuela Naval Almirante Padilla, Cartagena de Indias, Colombia

    José María Riola Rodríguez

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Azevedo, D., Guedes, D., Santos, G., Soares, F., Lopes, P. (2024). Using Artificial Intelligence to Prevent Drowsiness Based on Facial Recognition. In: Rocha, Á., Fajardo-Toro, C.H., Rodríguez, J.M.R. (eds) Developments and Advances in Defense and Security. MICRADS 2023. Smart Innovation, Systems and Technologies, vol 380. Springer, Singapore. https://doi.org/10.1007/978-981-99-8894-5_10

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