Driver fatigue detection PoseNet + OpenCV

# Catch fatigue before it becomes a crash.

DriveAware uses PoseNet and OpenCV to watch posture, eye closure, and head nods in real time— turning camera feeds into early warnings for fatigue across your fleet.

Launch live console How the AI works
120+ live vehicles monitored 86% of drowsy events alerted before lane departure PoseNet · OpenCV pipeline, edge-ready
Live cab view (simulated) Hashbrown vision

Sample model outputs:

- Head pitch: 18° down (nodding)
- Eye closure ratio: 0.82 (prolonged)
- Yawning probability: 0.64

Risk level: High · drowsiness suspected

## Built for fleet safety and telematics.

DriveAware combines PoseNet skeleton tracking, OpenCV eye/face analysis, and Hashbrown’s generative UI to give operations teams a clear view of risk—without drowning them in raw video.

### Pose & posture tracking

Use PoseNet keypoints to spot slouching, forward head tilt, and micro-nods that correlate with fatigue.

### Eye & blink analysis

OpenCV-based eye aspect ratio and blink frequency analysis helps detect drowsiness and microsleeps.

### Smart alerts & AI summaries

Turn raw detections into prioritized alerts, with AI-generated explanations and suggested follow-up steps.

## Ready to Deploy at Scale?

DriveAware represents a powerful foundation for driver fatigue detection. If you'd like to develop and deploy the full-scale version of this project across your entire fleet operations, we'd love to hear from you!

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