Projects / Computer Science / Computer Science project 37

Driver Drowsiness Detection System

Approx. component budget: Rs. 0 - 3,000

Objective

Detect early signs of fatigue and test how well it works with spectacles, different lighting and head positions.

What you will build

A camera-based system that watches the driver's eyes and mouth, calculates blink rate and yawning, and sounds an alarm when drowsiness is detected.

Results you can expect

• Eye aspect ratio threshold tuning
• Detection accuracy on recorded volunteer videos
• Alarm delay
• False alarm rate
• And performance with glasses and in low light

What you will learn

Facial landmarks, threshold tuning, real-time processing, and safety-system testing.

Tools and notes

Python, OpenCV, dlib or MediaPipe Face Mesh, a webcam or Raspberry Pi. Record only volunteers who consent and do not test while driving.

Resume points from this project

• Built and tested Driver Drowsiness Detection System; objective: detect early signs of fatigue and test how well it works with spectacles, different lighting and head positions.
• Measured and analysed eye aspect ratio threshold tuning and detection accuracy on recorded volunteer videos; wrote the report and presented the results in a viva. Add your own numbers: [x].

Replace [x] with your own measured results. Write only what you really did.

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