🚨Driver Drowsiness Detection - My New Project! 😴🚨(Version 1.0)

A real-time driver drowsiness detection system using OpenCV and Python and MediaPipe.

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Whatch the full video in LinkedIn

Have you ever felt drowsy while driving?

I built a simple driver drowsiness detection system from scratch that uses computer vision to track blink counts and detect prolonged eye closure, triggering an alert!

When you’re too tired, the system triggers an alert🚨 to keep you safe.

✅ Features:

🔹Face detection

🔹 Accurate eye closure detection

🔹 Blink counting

🔹 Audio alert (with my own voice!🤠📣)🚨

🔹 Progress bar for real-time warning

🛠 Used:

🔸 OpenCV & MediaPipe for face and eye detection

🔸 Python for full implementation

📌 What do you think? What features should I add next to make it even better?

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📝 How It Works?

The system tracks eye aspect ratio (EAR) and detects drowsiness based on eye closure duration:

1. Detects eyes using MediaPipe.

2. Calculates EAR to check if the eyes are closed.

3. If the eyes remain closed for a certain period, a voice alert is triggered.

🤔 Future Improvements:

🔹 Yawning detection

🔹 Sending alerts via Telegram

🔹 Mobile App Integration

Whatch the full video in LinkedIn

1. Clone the repository:

!git clone <https://github.com/AlirezaChahardoli/Driver_Drowsiness_Detection.git>