Auto-ID and MFA-ID in BluSKY

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Overview

BluSKY automatically manages three primary person images within each Person Record → Photos Tab:

Glamour Shot – the manually uploaded professional photo (badge or HR image).
Auto-ID – automatically generated photo from Person Reader interactions.
MFA-ID – automatically generated photo from multi-factor authentication (facial login).

Auto-ID Creation and Update Process

Each time a person interacts with a Person Reader, BluSKY captures a proof-of-presence image. This occurs whenever a valid credential is presented — face, mobile wallet, card, PIN, or QR code.

The Process:

Image Capture – One proof-of-presence frame is selected from the interaction.
Image Upload – That image is sent to the BluSKY Cloud for analysis.
Quality Evaluation – The system evaluates centering, field-of-view coverage, lighting, focus, and forward-facing orientation.
Scoring – A quality score is assigned.
Comparison & Replacement – If the new image’s score exceeds the existing Auto-ID image’s score, BluSKY automatically replaces it.

This continuous improvement cycle ensures that the Auto-ID image always reflects the most current and highest-quality likeness of each individual.

Why Auto-ID Matters

Unlike static Glamour Shots (often outdated, staged, or stylized), Auto-ID images:

Reflect the person’s real, everyday appearance.
Improve visual verification against live or recorded video.
Eliminate thousands of hours of manual photo updates.
Enhance security accuracy and reduce false mismatches.

Sync Challenges

Occasionally, the Auto-ID image can become misaligned with the Glamour Shot due to:

Credential reassignments without wiping old Auto-ID data.
Credential sharing or misuse.
Re-enrollment without proper cleanup.

These cause an Auto-ID mismatch (e.g., new Glamour Shot + old Auto-ID or vice versa).

Face Scrub Process

BluSKY runs a nightly Face Scrub background service that:

Validates each person’s photo set.
Detects mismatches between Glamour Shot and Auto-ID.
Removes or flags invalid associations.
Attempts automatic correction wherever possible.

If ambiguity remains, mismatches are queued for manual review. BluB0X continues developing autonomous Face Reconciliation to improve accuracy and minimize human intervention.

MFA-ID Process

The MFA-ID (Multi-Factor Authentication ID) follows the same logic and scoring rules as Auto-ID. The only difference is that the image source is MFA login interactions (facial sign-in to BluSKY). This provides an up-to-date facial record for user verification and audit purposes.