The Driver Monitoring System has been upgraded with several significant improvements to enhance performance, analytics, and user experience. These additions build upon the already robust features to create a more comprehensive and efficient monitoring solution.
- Adaptive Processing: Automatically adjusts system parameters based on current performance
- Dynamic Resolution Scaling: Reduces frame resolution during high CPU load
- Intelligent Frame Skipping: Skips processing of some frames to maintain target FPS
- Performance Monitoring: Tracks processing time of each detection module
- System Resource Monitoring: Monitors CPU and memory usage for optimal performance
- Recommendations Engine: Provides suggestions for improving system performance
- Real-time Monitoring Tab: Live visualization of all detection modules and alerts
- Performance Metrics Tab: FPS history and processing time analysis for each detector
- Statistics Tab: Visual representation of alert frequency and patterns
- History Tab: Historical data viewing and export capabilities
- Time-Range Selection: View data across different time periods (15min to 7 days)
- Data Export: Export collected data in CSV format for external analysis
- Driver Profiles: Store and manage information for multiple drivers
- Authorization System: Mark specific drivers as authorized/unauthorized
- Session Tracking: Record data for individual driving sessions
- Driver History: Track alert patterns and statistics per driver
- Preference Storage: Store driver-specific preferences and settings
- ENHANCEMENTS.md: Detailed documentation of new features
- Updated SUCCESS_SUMMARY.md: Overview of system capabilities
- Install Script: Automated environment setup and dependency installation
- Extended Requirements: Updated requirements.txt with new dependencies
- Added
performance_optimizer.pyto dynamically adjust processing parameters - Created
dashboard_module.pywith Matplotlib integration for data visualization - Implemented
driver_profile_manager.pyfor driver data management - Enhanced main detector with performance tracking capabilities
- Integrated dashboard with the main GUI application
- Added matplotlib for data visualization
- Added psutil for system resource monitoring
- Implemented adaptive processing to maintain FPS across different hardware
- Added detailed performance tracking for each detection module
- Created visual performance monitoring tools
- Improved Reliability: System now adapts to available computing resources
- Better Insights: Comprehensive dashboard provides deeper analytical capabilities
- Enhanced User Experience: More intuitive visualization of monitoring data
- Multi-Driver Support: System now properly handles multiple drivers
- Future-Ready: Architecture supports further extensions and cloud integration
Planned for future updates:
- Cloud data synchronization
- Mobile app for remote monitoring
- Machine learning for predictive driver behavior analysis
- Integration with vehicle telemetry and control systems
System enhanced on July 2, 2025