Implement TensorFlow Lite Model for Advanced Face Analysis #12
Description
Objective
Upgrade from ML Kit to TensorFlow Lite for more advanced facial analysis
Tasks
- Research and select appropriate TensorFlow Lite models
- Implement custom model for:
- Precise eye state detection
- Yawning detection
- Head pose estimation
- Optimize model for mobile performance
- Implement model quantization
- Add model versioning support
Success Criteria
- Improved accuracy in drowsiness detection
- Faster inference time
- Reduced false positives
- Support for different lighting conditions