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DROWSY DRIVER DETECTION

Jithesh MD

Jithesh MD

Coimbatore, Tamil Nadu

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Drowsy driver detection refers to the use of technology to identify when a driver is becoming drowsy or falling asleep at the wheel.Once the drowsiness detection system detects that the driver is becoming drowsy or falling asleep, it can issue alerts to wake the driver up. ...learn more

Project status: Under Development

Artificial Intelligence

Intel Technologies
oneAPI

Code Samples [1]

Overview / Usage

Drowsy driving is a serious problem that can result in accidents, injuries, and fatalities. According to the National Highway Traffic Safety Administration (NHTSA), drowsy driving causes an estimated 100,000 accidents each year in the United States, resulting in 1,550 deaths, 71,000 injuries, and $12.5 billion in monetary losses.

Some common causes of drowsy driving include lack of sleep, sleep disorders, medications that cause drowsiness, and driving during times when a person would normally be sleeping.

This model helps the driver to stay awake by predicting if he is drowsy and produces a buzzing sound.

Methodology / Approach

This model uses Res-Net-50 to predict if the driver is awake or asleep through camera.ResNet-50 is a convolutional neural network that is 50 layers deep. You can load a pretrained version of the neural network trained on more than a million images from the ImageNet database.

Repository

https://github.com/JITESHMD/DrowsyDriverDetection

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