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New anti-sleep algorithm detects driver drowsiness in real-time: A game-changer for road safety ...Middle East
The study presents a sophisticated methodology for detecting driver fatigue using convolutional neural networks (CNNs) and computer vision. The system relies on a USB camera to capture images of the driver’s face, focusing specifically on eye detection and movement patterns to determine levels of alertness. By analyzing the Eye Aspect Ratio (EAR) - a widely recognized metric for detecting drowsiness - the AI model can differentiate between a normal blink and prolonged eye closure, signaling driver fatigue.
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