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Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
JS Expert Week 7.0 - ??? Controlling Streaming Platforms using Eye and Hand Detection ??
? Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.
:camera: Object detection with OpenCV on Java. DNN, HaarCascade, Template Matching, Color Detection etc.
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).
Training scripts and data for a webcam-based, eye-tracking mouse
Auto Attendance System Using Real Time Face Recognition With Various Computer Vision & Machine Learning Tools
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.
Face recognition SDK iOS with 3D passive liveness detection (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)
Intelligent Driver Monitoring system for Autonomous Vehicles