Continuous driver interruption identification is the center to numerous interruption countermeasures and major for building a driver-focused driver help framework. As more remote correspondence, diversion and driver help frameworks multiply the vehicle advertise, and the rate of interruption-related accidents is relied upon height. This article presents a diagram promising methodology which is to grow continuous driver interruption countermeasures, including three categories: distraction prevention before distraction occurs; distraction mitigation after distraction occurs; collision system adjustment when a potential collision is estimated.


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    Title :

    Real-Time Driver Distraction Detection Using OpenCV and Machine Learning Algorithms


    Additional title:

    Smart Innovation, Systems and Technologies




    Publication date :

    2021-07-08


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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