Potential Positives. DrivebuddyAI has been granted a patent in India for its Real-Time Driver Drowsiness Detection Algorithm, enhancing Roadzen's intellectual property portfolio.

How deep learning enhances real-time drowsiness detection The study presents a sophisticated methodology for detecting driver fatigue using convolutional neural networks (CNNs) and computer vision.

This paper proposes an anti-sleep driver detection algorithm designed specifically for four-wheelers and larger vehicles to mitigate accidents caused by driver drowsiness. The proposed algorithm ...

Driver drowsiness is a major contributor to road traffic accidents. A system capable of detecting drowsiness and consequently warning drivers at an early stage could significantly reduce the number of ...

This project implements a real-time driver drowsiness detection system using Python, OpenCV, and dlib. The system monitors a driver's face through a webcam and detects signs of drowsiness, such as eye ...

In today’s analysis of traffic accident reports it becomes evident that most driving accidents result from driver drowsiness, fatigue, and lack of alertness. At these moments, drivers cannot react ...

There is a need for the development of a home-use early detection approach characterized by increased reliability and impartiality. A proposed system using ML algorithms for the early detection of PD ...