Real-Time Eye & Face Tracking with Python: Iris, Blink & Facial Landmarks | MediaPipe & OpenCV
🌟 Start Today and run your own eye (gaze) and face tracking with this Python tutorial! Join us as we demonstrate the Python-Gaze-Face-Tracker, a simplified tool for real-time iris tracking, blink detection, and facial landmark analysis using MediaPipe and OpenCV. Perfect for both beginners and seasoned developers, this application not only tracks eye movements but also detects all 468 facial landmarks in real time, making it incredibly useful for various applications.
🔍 In this video, I'll walk you through the entire process of setting up and using this powerful tool. From installation to real-time operation, you'll learn how to start working with Python-Gaze-Face-Tracker for applications in AR, aviation, human performance analysis, driver fatigue and alertness monitoring, and much more.
👁️🗨️ GitHub Repository: https://github.com/alireza787b/Python...
👏 Inspired by Asadullah Dal's Project: https://github.com/Asadullah-Dal17/ir...
🔗 What you'll discover:
Easy installation of MediaPipe, and OpenCV for advanced tracking.
Running the tracker for real-time iris, blink, and facial landmark detection.
Sending iris tracking data over a UDP network.
Efficient data logging and output interpretation for research and development.
⭐ This tutorial is tailored for anyone keen on eye and face tracking technologies, providing a solid foundation for various applications from AR to sleepiness detection.
#EyeTracking #FaceTracking #PythonTutorial #MediaPipe #OpenCV #RealTimeTracking #IrisTracking #BlinkDetection #FacialLandmarks #AR #Aviation #HumanPerformance #DriverFatigue #PythonProjects
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