International Journal of All Research Education & Scientific Methods

An ISO Certified Peer-Reviewed Journal

ISSN: 2455-6211

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Driver Attention Assist System

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Driver Attention Assist System

Driver Attention Assist System

Author Name : Satish S. Asane, Shantanu Jagtap, Shubham Patil, Kapil Shitole, Randhir Shinde

ABSTRACT A major factor in traffic accidents is driver inattentiveness. Driver drowsiness detection devices have been created toidentify and warn drivers when they are starting to get sleepy in order to address this problem. In order to track the driver's degree of attentiveness, these systems employ a variety of technologies, including facial recognition, eye tracking, and EEG signals. When the driver's level of attention dips below a predetermined threshold, an alarm is generated based on an algorithm's analysis of the collected data.We give a thorough overview of driver drowsiness detection systems, their underlying technology, and their efficiency in minimising accidents brought on by tired driving in this study. We also talk about potential future advancements as well as the difficulties and restrictions these systems face.