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Development of a Real Time Drowsy Driver Detection System

Author

Listed:
  • Precious O.C.

    (Enugu State University of Science and Technology, Nigeria)

  • Kinsley C.I.

    (Enugu State University of Science and Technology, Nigeria)

  • Chukwuemeka E.E.

    (Department of Computer Science, Ebonyi State University, Abakaliki, Nigeria)

  • Ebere U.C

    (Destinet Smart Technologies, New layout, Enugu, Nigeria)

Abstract

This paper presents the development of real time drowsy driver detection system. The study reviewed literature and identified that drowsy has remained a major cause of most road accidents. To address this problem a real time drowsy driver was developed using convolutional neural network and implemented as an accident prevention and control system using Mathlab. The result when tested showed that the system was able to detect drowsiness in real time which is very good.

Suggested Citation

  • Precious O.C. & Kinsley C.I. & Chukwuemeka E.E. & Ebere U.C, 2022. "Development of a Real Time Drowsy Driver Detection System," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 7(1), pages 82-86, January.
    • Handle: RePEc:bjf:journl:v:7:y:2022:i:1:p:82-86
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