Abstract
Abstract: Driver Gaze Tracking and Eyes Off the Road Detection System is a technology-driven solution designed to enhance road safety by monitoring driver behavior and detecting instances when the driver's attention is diverted from the road. The system utilizes computer vision techniques and machine learning algorithms to track the driver's eye movements and identify potential distractions. By providing real-time alerts and warnings, this system aims to mitigate the risk of accidents caused by distracted driving. Distracted driving poses a significant risk to road safety, and traditional methods have limitations in ensuring immediate compliance. By leveraging computer vision and machine learning, the system provides a proactive approach to detect distractions and alert drivers, ultimately reducing the occurrence of accidents caused by diverted attention. In conclusion, the Driver Gaze Tracking and Eyes Off the Road Detection System offers a technological solution to enhance road safety by monitoring driver behavior and detecting distractions. By promptly alerting drivers when their attention is diverted, this system contributes to mitigating the risks associated with distracted driving and promoting safer road environments.
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