Abstract The embedded driver fatigue detect system is a real-time system can detect driver fatigue. In order to improve the performance of embedded driver fatigue monitor system, we propose a new system on chip (SOC) structure for accelerating the fatigue estimate. The new SOC consists two parts including the main processor and support vector machine IP core. An embedded Linux was transplanted and run the main algorithm which consists Haar-Adaboost classifier to locate the face and eyes. The SVM IP core accomplished the task of classifying the eyes’ statues. At last the system will estimate the state with PERCLOS standard. The results show that the system can content the need of real-world.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Embedded Driver Fatigue Detect System Based on Vision


    Contributors:
    Shen, Huaming (author) / Xu, Meihua (author) / Ran, Feng (author)


    Publication date :

    2017-01-01


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Using facial landmarks to detect driver fatigue

    Martinez, A. / Berrospi, F. / Porras, V. et al. | IEEE | 2022


    Embedded Vision in Advanced Driver Assistance Systems

    Nikolić, Zoran | Springer Verlag | 2014



    Using Haar classifiers to detect driver fatigue and provide alerts

    Ibrahim, Lamiaa Fattouh / Abulkhair, Maysoon / AlShomrani, Amal D. et al. | Tema Archive | 2014


    Embedded surround vision-based driver assistance for safe zone estimation

    SATZODA RAVI KUMAR / TRIVEDI MOHAN M | European Patent Office | 2019

    Free access