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Considerations on Monitoring the Drowsiness of Drivers Through Video Detection and Real-Time Warning

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The 15th International Conference Interdisciplinarity in Engineering (Inter-Eng 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 386))

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Abstract

Microsomnia, decreased concentration and fatigue at the wheel are particularly dangerous and are the cause of many accidents. However, the initial signs can be detected in advance: tired, low-attention drivers perform less precise steering maneuvers and have to make minor path corrections more often.

The willingness to take over the vehicle control in driving scenarios, in autopilot mode, is an important factor for road safety. This paper presents a low-cost system for automatic recognition of driver activity by eye monitoring. Thus, an architecture based on eye movement and blink tracking data is introduced in this system, thus analyzing several features. It is estimated that this technology will help prevent acci-dents caused by drivers who become drowsy. Various studies have suggested that about 20% of all road accidents are related to fatigue.

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Author information

Authors and Affiliations

  1. Department of Telematics and Electronics in Transportation, Faculty of Transportation, University “Polytechnica” of Bucharest, Bucharest, Romania

    Maria Claudia Surugiu & Ion Nicolae Stăncel

Authors
  1. Maria Claudia Surugiu
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  2. Ion Nicolae Stăncel
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Corresponding author

Correspondence to Maria Claudia Surugiu .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology “George Emil Palade”, University of Medicine, Pharmacy, Science,and Technology of Targu Mures, Târgu Mureș, Romania

    Liviu Moldovan

  2. Faculty of Engineering and Information Technology “George Emil Palade”, University of Medicine, Pharmacy, Science,and Technology of Targu Mures, Târgu Mureș, Romania

    Adrian Gligor

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Surugiu, M.C., Stăncel, I.N. (2022). Considerations on Monitoring the Drowsiness of Drivers Through Video Detection and Real-Time Warning. In: Moldovan, L., Gligor, A. (eds) The 15th International Conference Interdisciplinarity in Engineering. Inter-Eng 2021. Lecture Notes in Networks and Systems, vol 386. Springer, Cham. https://doi.org/10.1007/978-3-030-93817-8_59

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  • DOI: https://doi.org/10.1007/978-3-030-93817-8_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93816-1

  • Online ISBN: 978-3-030-93817-8

  • eBook Packages: EngineeringEngineering (R0)

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