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SafeDriveVision is a computer vision project aimed at enhancing road safety. This project leverages deep learning models to detect and alert in real-time the dangerous behaviors of drivers, such as using a phone while driving or showing signs of drowsiness.
Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.
This project is a real-time drowsiness detection system that uses computer vision to monitor a driver's eyes and sound an alarm if drowsiness is detected. It captures live video through a webcam, detects facial landmarks, and calculates the eye aspect ratio to determine if the driver's eyes are closed for an extended period, indicating drowsiness.