Real-Time Driver Drowsiness Detection AI — Deployed on Raspberry Pi with Docker

Deployed a Drowsiness Detection deep learning model on a Raspberry Pi device using Docker containerization. The system detects driver drowsiness in real-time using computer vision, designed to enhance road safety by alerting drivers when signs of fatigue are detected.

Key highlights:

Built and trained a deep learning model for real-time drowsiness detection

Containerized the model using Docker for ARM architecture (Raspberry Pi)

Optimized the model for edge inference on low-resource hardware

Achieved real-time face and eye tracking to detect drowsiness patterns

Configured automated alerts when drowsiness is detected

? GitHub Repository: https://github.com/Tahany...