These days, driving while fatigued is a serious problem. Drivers of buses, trucks, and cars travel great distances both during the day and at night. Accidents and losses on the road are mostly caused ...

Estimating reaction times (RTs) and drowsiness states from brain signals is a notable step in creating passive brain–computer interfaces (BCIs). Prior to the deep learning era, estimating RTs and ...

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 ...

Real time, webcam based, driver attention state detection and monitoring using Python with OpenCV and a custom resnet50 facial keypoint detection model. Note: This work is partially based on this ...

Integrating computer vision and physiological analysis in driver drowsiness detection (DDD) is a promising technology for accurately identifying drowsy states while driving, thereby preventing ...

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

A real-time driver drowsiness detection system using Haar Cascade classifiers and facial landmarks detection. Monitors eye state to prevent accidents caused by drowsy driving.

Driver monitoring is essential as the main reasons for motor vehical accidents is related to driver's inattention or drowsiness. Drowsiness can cause serious road accidents resulting into a threat to ...

With the rapid development of intelligent transportation systems and growing emphasis on driver safety, real-time detection of driver drowsiness has become a critical area of research. This study ...

Every year, countless people lose their lives in serious car accidents, and drowsy driving is a major cause. However, because the earliest indications of exhaustion can be identified before a ...