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Real-Time Eye Blink Detection and Counting

This project uses OpenCV, dlib, and Flask to detect and count eye blinks in real-time using a webcam feed. It utilizes dlib's facial landmark detection model to locate key points around the eyes, calculates the eye blinking ratio, and displays the results in a web interface.

Technologies Used

  • Python
  • OpenCV
  • dlib
  • Flask
  • HTML/CSS
  • JavaScript

Features

  • Real-time eye blink detection using webcam feed.
  • Detects and counts the number of eye blinks.
  • Displays blink count and visual feedback for each blink.
  • Web interface using Flask with HTML and CSS.

Installation

Prerequisites

  1. Install Python (>=3.6) from python.org.
  2. Install necessary Python libraries using pip:
    pip install opencv-python dlib flask numpy

About

The Real-Time Eye Blink Detection and Counting project uses OpenCV and dlib to detect and count eye blinks in real-time through a webcam feed. It utilizes dlib's facial landmark detection model to locate key points around the eyes and calculates the blinking ratio.

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