AI Intelligent Road Safety & Driver Drowsiness Detection System
Computer vision road safety AI monitoring driver fatigue (Eye Aspect Ratio / Yawning) and external road hazards with audible real-time alarms.
### AI Intelligent Road Safety & Driver Monitoring System
Designed to prevent highway accidents caused by driver exhaustion, this project combines facial landmark geometry (Eye Aspect Ratio - EAR, Mouth Aspect Ratio - MAR) with a YOLO-based forward collision warning system. Operates at 30+ FPS on edge hardware to sound instant acoustic warning alarms upon micro-sleep detection.
#### 🧠 Key Modules:
- **Drowsiness & Fatigue**: 68 Facial Landmarks (Dlib/MediaPipe) calculating PERCLOS and continuous blink duration
- **Distraction Detection**: Head pose estimation (Pitch, Yaw, Roll) detecting phone usage or gaze deviation
- **Forward Hazard Alert**: YOLO object detector identifying vehicles, pedestrians, and lane drift
What's Included in the Package:
- Full Python & OpenCV Source Code
- Facial Landmark Detection Models & Sound Alerts
- Comprehensive IEEE Project Report (Word DOC & PDF)
- Defense Presentation Slides (PPTX)
- Setup Instructions
Key Features
Specifications
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