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Detection Chips

Detection chips are small cropped images of detected objects that provide visual confirmation of automated detections.

Beta Feature

Detection chips is currently a beta feature that must be enabled by Greenroom engineers. Contact Greenroom support to enable this capability on your system.

What are Detection Chips?​

Automatically generated image segments showing detected objects with:

  • Object cropping from the full video frame
  • Associated metadata including confidence scores and timestamps
  • Multiple camera views when available

Detection chips are particularly valuable for marine mammal research and vessel verification.

User Interface Integration​

Enabling Detection Chips​

To view detection chips in the Lookout+ interface:

  1. Edit Panel Layout: Access the UI customization options
  2. Enable Detection Chips Panel: Add the panel to your workspace layout
  3. Position Panel: Place the panel for optimal workflow integration
Enabling detection chips panel
Enabling the detection chips panel in the UI layout

Using the Detection Chips Panel​

The detection chips panel displays objects in chronological order:

Detection chips panel interface
Detection chips panel showing recent detections

Panel Organization​

  • Newest First: Most recent detections appear at the top
  • Chronological Order: Older detections scroll down over time
  • Visual Aging: Older chips become greyscaled to indicate age
  • Automatic Cleanup: Very old chips disappear automatically to maintain performance

Chip Lifecycle​

Chips automatically age and are removed from the display over time:

  1. Fresh: Full color display
  2. Aging: Greyscale conversion
  3. Expired: Automatic removal

Configuration​

Key settings include:

  • Detection Thresholds: Minimum confidence levels for chip generation
  • Retention Time: How long chips remain visible
  • Camera Sources: Which cameras generate chips
Best Practices
  • Monitor Regularly: Check the chips panel frequently during operations
  • Adjust Thresholds: Fine-tune settings based on your operational environment
  • Provide Feedback: Report classification accuracy to help improve system performance
  • Use for Training: Utilize chips to train crew members on object identification
Performance Considerations

Detection chips consume additional computational resources and display memory. In high-detection environments, consider adjusting sensitivity settings to maintain optimal system performance.