The Drowsy Driver Detection System is an AI-powered real-time driver monitoring application developed to identify signs of driver fatigue and drowsiness using computer vision and deep learning.
The system continuously monitors the driver's eye movement, facial expressions, and blinking pattern through a live webcam feed. If drowsiness is detected, an alert alarm is triggered immediately to avoid accidents.
- Real-time webcam based driver monitoring
- Eye closure and blinking detection
- Facial landmark analysis
- Automatic alarm alert generation
- Accident prevention support using AI
- Python
- OpenCV
- CNN
- TensorFlow / Keras
- Dlib
- NumPy
- Face detection module
- Eye state monitoring
- Drowsiness score calculation
- Alarm alert system
- Real-time prediction engine
To build a smart road safety application capable of identifying driver fatigue in real time and warning the user before a potential accident occurs.
- IoT vehicle integration
- Mobile app connectivity
- Night vision support
- Cloud based monitoring dashboard
Kashvi K A
Artificial Intelligence and Machine Learning Engineer