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Detection of Driver Distraction Using Deep Learning M.Sc. Research Project M.Sc. Data Analytics Aishwarya Rainmaker Shetty Student ID: x19237740 School of Computing National College of IrelandSupervisor:
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Detection of driver distraction refers to the process of identifying and monitoring behaviors or activities that may divert a driver's attention away from the road, such as using a mobile phone, eating, or interacting with passengers.
Typically, drivers, transportation companies, or regulatory bodies may be required to file detection of driver distraction reports, depending on local laws and regulations.
Filling out detection of driver distraction usually involves providing details about the incident, specifying the type of distraction observed, and noting the context in which it occurred, along with any relevant identifying information.
The purpose of detection of driver distraction is to enhance road safety by identifying and mitigating factors that could lead to accidents, ultimately aiming to reduce incidents caused by distracted driving.
The information that must be reported generally includes the date and time of detection, the nature of the distraction, the driver's identity, the vehicle involved, and any relevant circumstances surrounding the event.
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