Roadzen Inc. announces a patent for its DrivebuddyAI driver drowsiness detection system, enhancing road safety and compliance in India.

New anti-sleep algorithm detects driver drowsiness in real-time: A game-changer for road safety The study presents a sophisticated methodology for detecting driver fatigue using convolutional neural ...

This project is a Driver Drowsiness Detection System designed to enhance road safety by identifying signs of driver fatigue in real-time. The system utilizes machine learning models to analyze driver ...

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 ...

The 68-point face landmark identification approach is used to identify faces and extract eye areas. The proposed system employs a shallow CNN architecture with fewer layers and parameters to detect ...

The driver's eye blink and yawn is detected in this project. If the driver's eyes remain closed for an extended period of time, she or he is taken into consideration drowsy, and an alarm is sounded.

So, vehicular safety and driving drowsiness detection methods to avoid dire losses are always motivational aspects for researchers. There are several subjective and objective methods to detect ...

Driver distraction and drowsiness remain significant contributors to death and serious injury on our roads and are long standing issues in road safety strategies around the world. With developments in ...