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Real-Time Eye Blink Detection using Mediapipe & OpenCV | Python Demo

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👁️ Real-time eye blink detection using Python, Mediapipe, and OpenCV.
This demo tracks facial landmarks with Mediapipe Face Mesh and calculates the Eye Aspect Ratio (EAR) to detect when both eyes are closed.
🔍 Features:
Real-time webcam eye detection
Detects when both eyes are closed (blink detection)
Simple, lightweight Python implementation
⚙️ Technologies used:
Python 3.x
Mediapipe Face Mesh
OpenCV
EAR (Eye Aspect Ratio)
✅ Perfect as a base for:
Drowsiness detection
Eye-controlled interfaces
Face analysis or human-computer interaction
📁 Source code included in video or via link below
#Python #ComputerVision #OpenCV #Mediapipe #EyeDetection #BlinkDetection #AI #RealtimeAI #FaceMesh
This demo tracks facial landmarks with Mediapipe Face Mesh and calculates the Eye Aspect Ratio (EAR) to detect when both eyes are closed.
🔍 Features:
Real-time webcam eye detection
Detects when both eyes are closed (blink detection)
Simple, lightweight Python implementation
⚙️ Technologies used:
Python 3.x
Mediapipe Face Mesh
OpenCV
EAR (Eye Aspect Ratio)
✅ Perfect as a base for:
Drowsiness detection
Eye-controlled interfaces
Face analysis or human-computer interaction
📁 Source code included in video or via link below
#Python #ComputerVision #OpenCV #Mediapipe #EyeDetection #BlinkDetection #AI #RealtimeAI #FaceMesh