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P0Critical priorityCritical priorityml-modelMachine learning model relatedMachine learning model related
Description
Objective
Create a more sophisticated drowsiness detection system
Tasks
- Implement PERCLOS (percentage of eye closure) calculation
- Add head pose tracking with 6 degrees of freedom
- Create attention level scoring system
- Implement driver behavior analysis
- Add contextual awareness (time of day, trip duration)
Success Criteria
- More accurate drowsiness prediction
- Earlier warning signs
- Reduced false alarms
- Better handling of edge cases
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P0Critical priorityCritical priorityml-modelMachine learning model relatedMachine learning model related