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International Conference on Computer Information Systems and Industrial Management

CISIM 2020: Computer Information Systems and Industrial Management pp 39–50Cite as

Artificial Intelligence System for Drivers Fatigue Detection

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12133))

Abstract

Driver drowsiness is one of major causes of growing number of road accidents. To combat this problem car makers install their proprietary and expensive driver alert systems. In this paper an analogous system based on an opensource machine learning library is presented. The proper eye aspect ratio for closed eyes is discussed and estimated. The accuracy of closed eyes recognition is tested on a basis of several public available face libraries.

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Notes

  1. 1.

    http://statystyka.policja.pl/st/ruch-drogowy/76562,Wypadki-drogowe-raporty-roczne.html.

  2. 2.

    https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812446.

  3. 3.

    https://www.volkswagen-newsroom.com/en/driver-alert-system-3932.

  4. 4.

    https://www.stopsleep.co.uk/Anti-Sleep.solutions.html.

  5. 5.

    https://ibug.doc.ic.ac.uk/resources/facial-point-annotations/.

  6. 6.

    http://parnec.nuaa.edu.cn/xtan/data/ClosedEyeDatabases.html.

  7. 7.

    http://vis-www.cs.umass.edu/lfw/#download.

  8. 8.

    http://cv.cs.nthu.edu.tw/php/callforpaper/datasets/DDD/.

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Authors and Affiliations

  1. Institute of Information Technology, Warsaw University of Life Sciences—SGGW, ul. Nowoursynowska 159, 02-776, Warsaw, Poland

    Waldemar Karwowski, Przemysław Reszke & Marian Rusek

Authors
  1. Waldemar Karwowski
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  2. Przemysław Reszke
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  3. Marian Rusek
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Correspondence to Waldemar Karwowski .

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Editors and Affiliations

  1. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  2. VSB - Technical University of Ostrava, Ostrava, Czech Republic

    Jiří Dvorský

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Karwowski, W., Reszke, P., Rusek, M. (2020). Artificial Intelligence System for Drivers Fatigue Detection. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science(), vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-47679-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-47678-6

  • Online ISBN: 978-3-030-47679-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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