It consists of the code to find the number of blinks detected through a webcam using OpenCV
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Updated
Apr 17, 2019 - Python
It consists of the code to find the number of blinks detected through a webcam using OpenCV
DLIB based facial recognition with liveliness detection.
Eye-Controlled keyboard using Neural Networks.
The program can detect if the person is sleepy or not using the Dlib library. If someone is closing his eyes so the program will calculate the aspect ratio of eyes and give the conclusion that the person fell asleep at the specified time
Use of EEG for controlling Robot
Python implementation of Human-Eye blink detection using OpenCV
Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.
Track eye pupil movement, detects blinking of an eye from videos taken from medical devices in which only eye is visible
Face And Eye Blink Detection
This is a project implementing Computer Vision techniques to detect drowsiness of a driver and emit sound and luminous alert.
Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.
RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments
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