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Smart driver monitoring system

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Abstract

Driver fatigue and drowsiness is an ever-rising issue that could place a lot of entities at risk. The associated problems are not only dangerous for the driver and the passenger but they pose a negative image on an industry that functions using drivers that work long hours in tough road conditions. In this work, proposed to develop a driver drowsiness detector based on image processing. The system created will work based on vehicle details received from the OBD-II and the camera mounted on the dashboard to monitor the driver. The system is developed with the aim to provide a novel solution to driver drowsiness detection on-board whilst the car is being driven. The mechanism provided is both non-intrusive and involves the use of machine learning that will provide an accurate result that averts the major cause of road-based accidents.

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Authors and Affiliations

  1. School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, India

    Shubhi Shaily, Srikaran Krishnan, Saisriram Natarajan & Sasikumar Periyasamy

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  1. Shubhi Shaily
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  2. Srikaran Krishnan
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  3. Saisriram Natarajan
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  4. Sasikumar Periyasamy
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Correspondence to Sasikumar Periyasamy.

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Shaily, S., Krishnan, S., Natarajan, S. et al. Smart driver monitoring system. Multimed Tools Appl 80, 25633–25648 (2021). https://doi.org/10.1007/s11042-021-10877-1

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  • DOI: https://doi.org/10.1007/s11042-021-10877-1

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