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Kiosk & PC Self-Service or Assisted Enrollment Toolkit

A cross-platform SDK suite enabling unassisted passenger registration and biometric enrollment at airport kiosks or dedicated PCs. Designed for Android, Windows, and Linux environments, it lets integrators build secure, intuitive self-service applications for pre-clearance and border-readiness workflows.

The toolkit provides advanced face biometric components with guided auto-capture, liveness detection (PAD), ICAO-aligned quality validation, age estimation, and real-time 1:1 verification against the document portrait. For enhanced security on kiosks equipped with NIR iris cameras, it includes iris processing components with quality control and on-device biometric matching — both 1:1 verification and local 1:N identification up to 1,000 records against a watchlist.

The module additionally supports self-capture of slap fingerprints and palmprints, proprietary and NFIQ2 quality checks, and on-device 1:1 or 1:N (up to 1,000 records) identification against a local watchlist. Registered traveler data is transferred seamlessly to Border Control Core and Traveler Management Module.

Capabilities​

  • Multimodal capture (face, iris, fingerprint, palmprint)
  • Auto-capture & liveness (PAD)
  • ICAO quality validation
  • Age estimation
  • NFIQ2 fingerprint quality + proprietary quality checks
  • On-device 1:1 verification and 1:1,000 identification against local watchlist
  • Fingerprint & iris segmentation
  • Template extraction

What it does​

  • Self-service or assisted enrollment — cross-platform SDK for unassisted (or assisted) passenger registration. Android, Windows, Linux.
  • Face biometrics — guided auto-capture, liveness detection (PAD), ICAO-aligned quality validation, age estimation, and real-time 1:1 verification against the document portrait
  • Iris biometrics — quality control on NIR iris cameras, with on-device 1:1 verification and local 1:N identification up to 1,000 records against a watchlist
  • Slap fingerprints and palmprints — self-capture with proprietary and NFIQ2 quality checks, on-device 1:1 or 1:N (up to 1,000) against a local watchlist
  • Handoff to Core — registered traveler data transferred seamlessly to Border Control Core for central enrollment, deduplication, and Traveler Management

Components we provide​

Developer documentation

The capture layer for this toolkit can be powered by either the IDV Platform (when end-to-end document verification is in scope) or the Enrollment SDK (when capture is the primary need and document verification is handled separately). Both have dedicated developer documentation:

  • Face auto-capture IDV components — Android, Web
  • Enrollment SDK — Windows, Linux, Android — covering all fingerprint, face, and iris capabilities
  • No opinionated user interface — SDKs only (except for the auto-capture components)

Limitations​

  • No UI shell. Integrators build the kiosk / PC application UI on top of the SDK primitives.
  • Specialized peripherals required for full modality coverage. NIR iris cameras, slap fingerprint readers, and passport scanners are not part of the SDK; specific reader models confirmed per project.

See also​