International Research Journal of Education and Technology

Driving while fatigued is a major factor in traffic accidents all around the world. This research proposes a Raspberry Pi-based Drowsiness Detection System that uses computer vision and eye aspect ratio (EAR) to track the driver's attentiveness in an effort to increase road safety. The device is simple to install in a variety of cars since it combines a cheap Raspberry Pi single-board computer with a common USB camera. The suggested system tracks and analyzes the driver's facial features using computer vision techniques, paying particular attention to eye movements and closures. One important indicator for assessing tiredness is the ocular aspect ratio. The technology can accurately detect tiredness by continuously observing the driver's eyes, which includes slow blinks and prolonged eye closures.

Key Words:  Real-time Accident Prevention Monitoring