A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

Real-time AI Driver Drowsiness Detection using Flask, OpenCV & Dlib with live browser camera monitoring and fatigue alerts. VisionSense is a comprehensive ROS2-based computer vision system designed ...

Abstract: Driver Drowsiness Detection (D3) is a challenging task as it requires analysis based on various behavioral and physiological signs such as health issues, mental stress, and exhaustion. Data ...

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...

A curated list of face shape detectors, facial symmetry analyzers, golden ratio calculators, and resources for understanding facial proportions. Tools, research, hairstyle guides, glasses fitting, and ...

Abstract: Drunkenness or exhaustion is a leading cause of car accidents, with severe implications for road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of time.

Electroencephalography (EEG)-based driving fatigue detection has gained increasing attention recently due to the non-invasive, low-cost, and potable nature of the EEG technology, but it is still ...

Truck drivers who transport the cargo and heavy materials over long distances during day and nighttime, they often suffer from a lack of sleep, fatigue, and drowsiness are some of the leading causes ...