The major cause of deaths in our world is a car accident. Nearly around 1.5 billion people die due to car accidents and majority are happening just due to a simple factor that is drowsiness of driver. Most of the people travel for long distances without any sleep and using mobile phones while driving this results to the issue of tiredness and as a result to the drowsiness. This can be avoided just by alerting the driver when there is any such case of occurrence. So we are proposing a system which can alert the driver using a alarm when the driver gets distracted or feels drowsy. The aim of this project is to build the driver distraction prediction system that will detect whether persons eyes are closed or not.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driver Distraction and Drowsiness Detection System


    Contributors:
    Roshini, G. (author) / Kavya, Y. (author) / Hareesh, R. (author) / Suma, M. (author) / Sunny, N. (author)


    Publication date :

    2021-06-25


    Size :

    646996 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    An Image Processing Approach to Enhance Driver Distraction and Drowsiness Detection Algorithm

    Paul, Aishik / Shaha, Abhisri / Mukherjee, Arijit et al. | IEEE | 2024


    Driver drowsiness detection

    YANG HSIN-HSIANG / PRAKAH-ASANTE KWAKU O | European Patent Office | 2015

    Free access

    Driver Drowsiness Detection System

    Khan, Rimsha Mehnaaz / Kumar, B P Pradeep / Kabir, Sidra et al. | IEEE | 2025


    Driver drowsiness detection system

    Alshaqaqi, Belal / Baquhaizel, Abdullah Salem / Amine Ouis, Mohamed El et al. | IEEE | 2013


    Driver Drowsiness Detection

    Satish, K. / Lalitesh, A. / Bhargavi, K. et al. | IEEE | 2020