Driver Drowsiness Detection System This project implements a real-time driver drowsiness detection system using computer vision and facial landmark detection. The system is designed to monitor a ...

Recognizing the early signs of fatigue is crucial in preventing these critical situations. By detecting the onset of drowsiness, it is possible to take timely actions that can avert accidents and save ...

In this paper, driver drowsiness detection algorithm based on the state of eyes of the driver which is determined by his iris visibility has been implemented. If eyes remain in one state either open ...

With this project we aim to create a highly accurate and highly efficient sleep detection system for drivers that dose off during the night and even during the daytime. Using this system, we aim to ...

The structure focuses on the eyes to prevent accidents. In the proposed system, a video is first recorded by a camera. The camera is placed in front of the driver to better capture the driver's face.