Implement passive liveness detection compliant with ISO 30107-3 PAD Level 1 using a single-frame selfie capture

domain: iso.org · 5 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗

Steps

  1. Capture a single high-resolution selfie frame; ensure the capture SDK enforces minimum face size and lighting thresholds
  2. Send the image to a PAD-certified liveness vendor API with the required meta-fields (device model, capture timestamp, image quality score)
  3. Parse the response for a liveness score and a PAD decision (genuine vs attack)
  4. Apply a rejection threshold calibrated against the vendor's published Equal Error Rate at Level 1 compliance
  5. Log the PAD decision, score, and model version for audit purposes before passing the image to downstream face match

Known gotchas

Related routes

Integrate liveness detection with ISO 30107-3 PAD compliance into an identity proofing flow
ibeta.com · 6 steps · unrated
Configure active liveness detection with a challenge-response (head turn or number reading) to satisfy ISO 30107-3 PAD Level 2
iso.org · 5 steps · unrated
Use iBeta's published ISO/IEC 30107-3 PAD confirmation letters to evaluate and select a liveness detection vendor by certification level rather than marketing claims
ibeta.com · 5 steps · unrated

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