Popular GitHub Repositories for Drowsiness Detection

Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.

A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The computer vision algorithm used for the implementation uses a trifold approach to detect drowsiness, including the measurement of forward head tilt angle, measurement of eye aspect ratio (to detect closure of eyes) and measurement of mouth aspect ratio (to detect yawning).

A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.

Intelligent Driver Monitoring system for Autonomous Vehicles

A Realtime CPU eye detector to detect if the eyes are open or closed

A car safety technology that can auto-detect driver drowsiness in real-time. This system can prevent road accidents that are caused by drivers who fell asleep while driving.

??A Centralized WebApp to Ensure Road Safety by checking on with the activities of the driver and activating label generator using NLP.

Detect if the driver is feeling drowsy and sound an alarm on doing so to wake him/her up.

Real-time driver drowsiness detection system using computer vision, OpenCV, and MediaPipe face mesh. Monitors eye movements and calculates Eye Aspect Ratio (EAR) to detect fatigue, providing immediate visual alerts for enhanced driving safety.

Drowsiness detection system using EAR and MAR (Eye and Mouth Aspect Ratios) , dlib used to extract facial landmarks , drowsiness detected using eye closure rates and yawn counts.

Comparision of algorithms in between CNN and SVM for realtime Drowsiness Detection