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Customer case study · Face Recognition

United Nations Border Control

Secure identity decisions at border scale.

Customer United Nations

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Illustrative border control hall with automated gates and identity checks in progress

The problem

Border authorities needed to reduce passport-control waiting times while detecting fraudulent passports, preventing illegal entry, and ensuring every identity decision was protected against unauthorized or corrupt staff intervention.

The solution

Automate passport and face verification

Ayonix captures the traveler’s live face from an e-gate or immigration-camera stream and compares it with the portrait stored in the passport chip or presented identity document. This confirms that the person at the border is the legitimate document holder.

Detect fraud and impersonation attempts

The system identifies facial mismatches, suspected impersonation, duplicate identity attempts, and presentation attacks when integrated with compatible document readers and liveness detection.

Reduce waiting times at border crossings

Automated pre-screening and rapid biometric matching allow low-risk travelers to pass through an e-gate or be cleared faster by officers, reducing manual passport-check workload and queue length.

Screen against watchlists in real time

Ayonix searches live traveler faces against approved national, immigration, criminal, and restricted-entry watchlists. Potential matches are sent to authorized officers for review before entry is approved.

Protect against unauthorized staff approvals

Every verification result, watchlist alert, officer review, override, approval, and rejection is recorded with a timestamp, operator identity, camera or gate ID, and supporting evidence. This creates accountability and reduces the risk of improper or corrupt approvals.

Provide an auditable border-control record

Supervisors can review searchable event logs, match scores, face images, passport-validation results, alerts, and operator actions for investigations, compliance reporting, and operational improvement.

What we brought

  • 1:N face search
  • Edge AI
  • Alert workflow
  • Evidence logs

How we solved it

  1. Detect
  2. Compare
  3. Alert
  4. Verify
  5. Audit

Outcome

Reduced passport-control waiting times through rapid automated face-to-passport verification.

  • Increased detection of fraudulent passports, impersonation attempts, and duplicate identities.
  • Stronger prevention of illegal entry through real-time biometric watchlist screening.
  • Reduced dependence on manual checks while allowing officers to focus on exceptional or high-risk cases.
  • Complete audit trail for every verification, alert, staff review, approval, rejection, and override—reducing the risk of unauthorized or corrupt decisions.
  • Improved border throughput, security, compliance, and public confidence.

Technology: Face Recognition

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