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Bug Fix Summary - Camera Feed and Detection Issues

Issues Fixed

  1. Camera Feed Not Displaying

    • Added proper thread synchronization between the monitoring thread and GUI update thread
    • Fixed the frame display mechanism to properly handle canvas resizing
    • Improved error handling in frame acquisition and display

  2. Detection Not Working

    • Ensured detection results are properly passed from monitoring system to GUI
    • Added explicit frame copying to avoid thread-related corruption
    • Increased the GUI update rate for smoother video display

  3. General System Improvements

    • Added camera reinitialization logic in case of frame reading failures
    • Improved camera frame handling and processing
    • Optimized the display mechanism for better performance

Technical Details

Core Issues Resolved

  1. Thread Synchronization Issues:

    • Added proper thread-safe handling of shared resources (frames, detection results)
    • Implemented frame copying to prevent data corruption

  2. Missing run() Method:

    • Added the missing run() method to the DriverMonitoringGUI class to start the Tkinter main loop

  3. Canvas Handling:

    • Improved the canvas image display logic to handle window resizing
    • Added fallback for initial canvas dimensions

  4. Performance Improvements:

    • Increased GUI refresh rate for smoother video (16ms/~60FPS)
    • Added small delays in the monitoring thread to avoid CPU hogging

New Diagnostic Tool

Created a new diagnostic utility in utils/diagnostic.py to:

  • Test camera functionality independently
  • Verify that detection modules initialize correctly
  • Process test frames and verify results
  • Report overall system health

How to Test

  1. Run the diagnostic tool:

    python utils/diagnostic.py

  2. Launch the GUI:

    python main.py --gui

  3. Press "Start Monitoring" to begin camera feed and detection

Remaining Considerations

  • If facial recognition is important, you may want to add sample face images to the system
  • Consider adjusting detection thresholds based on real-world testing
  • Monitor system performance on different hardware configurations