News

GitHub1y
Pratham-mehta/Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning
It then trains a deep learning model on this dataset using data augmentation techniques. The proposed driver drowsiness detection system was trained and evaluated on two datasets: YawDD and CEW. The ...
Roadzen’s DrivebuddyAI Awarded Patent for Real-Time Driver Drowsiness Detection — Crosses 1.8 Billion Kilometers of Real-World AI Driving Data
New Patent Positions DrivebuddyAI to Lead India’s Upcoming Road Safety Mandates, Achieves 72% Accident Reduction Across FleetsNEW YORK, June 03, 2025 (GLOBE NEWSWIRE) -- Roadzen Inc. (Nasdaq: RDZN) ...
IEEE8y
Real-Time Driver Drowsiness Detection System Based on PERCLOS and Grayscale Image Processing
Abstract: This study develops a real-time drowsiness detection system ... it uses the data from the previous step and PERCLOS to establish a fatigue model, and finally, based on the driver's personal ...
devdiscourse2mon
New anti-sleep algorithm detects driver drowsiness in real-time: A game-changer for road safety
A recent study "Real-time anti ... and across diverse driver demographics, unlike older rule-based detection systems. Furthermore, the system incorporates transfer learning, allowing pre-trained ...
IEEE8y
Real-Time Driver Drowsiness Detection System Based on PERCLOS and Grayscale Image Processing
Abstract: This study develops a real-time drowsiness detection system ... it uses the data from the previous step and PERCLOS to establish a fatigue model, and finally, based on the driver's personal ...