Eye Blink Counting Detection OpenCV Python With Source Code | Eye Blinking Detection in OpenCV 2022

This 2022 Eye Blink Counting Detection OpenCV Python was developed using Python OpenCV, Python OpenCV Project With Source Code we are going to build upon this knowledge and develop a computer vision application that is capable of detecting and counting blinks in video streams using facial landmarks and OpenCV. 🔗COMPLETE SOURCE CODE: https://bit.ly/3yCB1Jf Please Follow Us On: YouTube ► https://bit.ly/2YdWUxU​​​​​​​​​​​​​​​ Facebook ► https://www.facebook.com/itsourcecode Website ► https://itsourcecode.com/​​​​​​​​​​​​​​​ Increase ad revenue 50-250% with Ezoic - https://bit.ly/2OIIPpD Join this channel to get access to perks: https://www.youtube.com/channel/UCg1aQxi_nEhods87BHYQTkw/join 📌SYSTEM INFORMATION: An Eye Blink Detection OpenCV Python focused solely on using the eye aspect ratio as a quantitative metric to determine if a person has blinked in a video stream. However, due to noise in a video stream, subpar facial landmark detections, or fast changes in viewing angle, a simple threshold on the eye aspect ratio could produce a false-positive detection, reporting that a blink had taken place when in reality the person had not blinked. What is OpenCV? OpenCV is short for Open Source Computer Vision. Intuitively by the name, it is an open-source Computer Vision and Machine Learning library. This library is capable of processing real-time images and videos while also boasting analytical capabilities. It supports the Deep Learning frameworks.