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Implementation of Detection System for Drowsy Driving Prevention Using Image Recognition and IoT

Author

Listed:
  • Seok-Woo Jang

    (Department of Software, Anyang University, Anyang 14028, Korea)

  • Byeongtae Ahn

    (Liberal and Arts College, Anyang University, Anyang 14028, Korea)

Abstract

In recent years, the casualties of traffic accidents caused by driving cars have been gradually increasing. In particular, there are more serious injuries and deaths than minor injuries, and the damage due to major accidents is increasing. In particular, heavy cargo trucks and high-speed bus accidents that occur during driving in the middle of the night have emerged as serious social problems. Therefore, in this study, a drowsiness prevention system was developed to prevent large-scale disasters caused by traffic accidents. In this study, machine learning was applied to predict drowsiness and improve drowsiness prediction using facial recognition technology and eye-blink recognition technology. Additionally, a CO 2 sensor chip was used to detect additional drowsiness. Speech recognition technology can also be used to apply Speech to Text (STT), allowing a driver to request their desired music or make a call to avoid drowsiness while driving.

Suggested Citation

  • Seok-Woo Jang & Byeongtae Ahn, 2020. "Implementation of Detection System for Drowsy Driving Prevention Using Image Recognition and IoT," Sustainability, MDPI, vol. 12(7), pages 1-13, April.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:3037-:d:343696
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    References listed on IDEAS

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    1. Muhammad Azmat & Sebastian Kummer, 2020. "Potential applications of unmanned ground and aerial vehicles to mitigate challenges of transport and logistics-related critical success factors in the humanitarian supply chain," Asian Journal of Sustainability and Social Responsibility, Springer, vol. 5(1), pages 1-22, December.
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    Cited by:

    1. Genta Miyama & Masakatsu Fukumoto & Ritsuko Kamegaya & Masahito Hitosugi, 2020. "Risk Factors for Collisions and Near-Miss Incidents Caused by Drowsy Bus Drivers," IJERPH, MDPI, vol. 17(12), pages 1-11, June.

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