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Person Reader Configuration and Testing Checklist

Here’s a consolidated installation checklist for Person Readers

Configuration​

  • Verify all Person Readers are configured for:

  • Appearance recognition

  • Voice command and control

  • Depth enabled (to prevent hallucinations)

  • Maturity setting turned on

  • Confirm recognition minimum threshold is set to 0.45 (per Niels).

  • Ensure detection is calibrated to 5 feet / 1,500 mm.

  • Confirm latest Person Reader software is installed across all devices.

Learning & Sync​

  • Verify learning is enabled: enrollment at one reader syncs immediately to all others.
  • Confirm all Person Readers are generating both local and global centroids.
  • Test enrollment with cards at each Person Reader to validate synchronization.

Face Scrub​

  • Confirm FaceScrub runs nightly across all Person Readers. (Varma to verify)

AutoID Pipeline​

  • Verify AutoID is enabled and functional.
  • Confirm IDs are being ingested into BluSKY.
  • Ensure nightly improvement of AutoID records is occurring.
  • Check that AutoID images appear in the timeline (not photo ID images).
  • Validate that FaceScrub pipeline is running and replacing legacy images.

Personnel Records & Floor Assignments​

  • Review ALL personnel records to confirm floor associations.
  • Check for default floor assignments for each person.
  • Verify distribution of people across companies/floors is correct (coordinate with Austin Upton).
  • Ensure no bunching of personnel on incorrect floors.
  • Confirm floors are correctly configured to support automatic elevator assignment.

AI & Floor Learning​

  • Verify AI pipelines and cubes are enabled and operational.
  • Confirm AI is correctly selecting default floors based on behavior/input.
  • Enable AI-driven default floor detection where possible.
  • Validate floor learning is turned on and functioning.

Testing & Validation​

  • Test facial recognition at every Person Reader.
  • Validate opt-in/opt-out capability via voice command.
  • Confirm operation both locally and in the cloud.