Intelligent Driver Safety System Using Deep Learning

The Driver Accident Prevention System is a web-based solution leveraging deep learning to enhance road safety. It features two primary components. The first is a drowsiness detection system that uses a camera to capture the driver’s face, employing Haarcascade and a CNN model to detect closed eyes. If the system detects drowsiness, an alarm is triggered to alert the driver and prevent potential accidents. The second component is a driver sign recognition system, which utilizes MediaPipe and a trained Ridge Classifier to recognize signs. When a sign is detected, the system sends corresponding to hardware components, activating motors to respond accordingly. This dual-feature approach ensures both driver alertness and effective real-time sign-based assistance, reducing accident risks through AI-powered monitoring and automation.