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 ...

Once a driver undergoes such a scenario, it occasionally triggers drowsiness during driving. Drowsiness in driving can be life-threatening to any individual and can affect other drivers’ safety; ...

Driver drowsiness detection (DDD) prevents road accidents caused by driver fatigue. Vehicle dynamics-based DDD has been proposed as a method that is both economical and high performance. However, ...

Driver drowsiness detection is a car safety Technology which helps prevent accidents caused by the driver getting drowsy. The following code uses computer vision to observe the driver's face, either ...

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Driver’s Drowsiness Detection System A real-time driver monitoring system that detects drowsiness by analyzing eye closure (using Eye Aspect Ratio) and head tilt angle via facial landmarks. When signs ...

Drowsiness during driving includes high risks for the driver, the co-passengers, and the other people on the road. Advance Driver Assistance Systems (ADAS) have been proposed to reduce these risks.

This project detects driver drowsiness in real-time using OpenCV and a trained CNN model. It monitors eye closure through a webcam feed and triggers an alarm when drowsiness is detected, helping ...

Drowsiness while driving is a core threat to global safety on roads, resulting in significant traffic accidents and fatalities. Efficient strategies to combat drowsy driving are an emerging need. The ...

Driver tiredness is a critical supporter to street mishaps, driving to fatalities and wounds due to diminished sharpness and postponed reaction times. Weariness, caused by delayed driving, push, and ...

Driver drowsiness causes road accidents as the drowsiness or sleepiness affects the ability of the driver to focus. Drowsiness may happen due to variety of reasons such as lack of sleep, increased ...