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Mobile Pre-Enrollment Toolkit

A comprehensive SDK suite designed for system integrators to rapidly build secure passenger-facing mobile and web applications. The toolkit provides ready-to-integrate Android, iOS, and Web components for remote identity verification aligned with border control and travel authorization use cases.

The toolkit includes advanced travel document processing — guided auto-capture, automated OCR, MRZ reading, NFC chip access, and document authenticity checks. For biometric verification, it delivers face capture with guided auto-capture, liveness detection (PAD), ICAO-aligned quality assessment, age estimation, and real-time 1:1 face verification against the document portrait. Built-in protections include video injection attack detection and deepfake detection, ensuring resilience against presentation and synthetic-media fraud.

Optionally, the toolkit supports contactless fingerprint and palmprint capture on both Android and iOS, with guided acquisition optimized for usability and quality control. Designed as a modular integration layer, the toolkit enables secure, standards-aligned remote enrollment and pre-border verification workflows while seamlessly connecting to the Platform ABIS and Border Control Platform ecosystem.

Capabilities​

  • Document auto-capture
  • Document photo extraction
  • Document authenticity checks (screen and print attack detection, B&W photocopy detection, data cross-check)
  • NFC & MRZ reading
  • Selfie & liveness (PAD — Passive or Active Multi-Range)
  • 1:1 face verification (face vs. document or face vs. face)
  • Injection & deepfake detection
  • Face image evaluation (ICAO quality, cropping, background removal)
  • Age and gender estimation
  • Contactless fingerprints (iOS, Android)
  • Contactless palmprint (iOS, Android)

What it does​

A typical session uses some or all of the following components.

  • Document auto-capture — passport or other travel document
  • OCR extraction — visual and MRZ zone data from passports and other travel documents
  • Document authenticity — any combination of screen and print attack detection, B&W photocopy detection, and document data cross-check
  • Document NFC — readout, reading data from ID documents using NFC technology
  • Selfie auto-capture
  • Face matching — face vs. document, or face vs. face
  • Video injection attack and deepfake detection — Innovatrics auto-capture components are required
  • Face liveness detection — Passive, or Active Multi-Range Liveness detection
  • Face image evaluation — ICAO quality validation, cropping, background removal, age and gender estimation

Optional contactless modalities​

  • Contactless fingerprint capture (iOS, Android) — guided acquisition via the device camera
  • Contactless palmprint capture (iOS, Android) — guided acquisition via the device camera

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:

  • Document & face auto-capture IDV components — Android, iOS, Web
  • Contactless fingerprints / palms IDV components — Android, iOS
  • IDV libraries — NFC chip reading, plus the underlying face and document libraries
  • Microservice server components — OCR, 1:1 face comparison, liveness checks, injection / deepfake detection

Limitations​

  • Self-service only. No officer in the loop. For operator-led capture, see Border Post Module (counter) or Mobile Field Biometric Toolkit (handheld).
  • Modalities limited by consumer hardware. Iris and slap fingerprint are not available on commodity mobile / web devices — use the Kiosk & PC Enrollment Toolkit for those.
  • Zero biometric storage on device. Captures are transmitted to the server and processed ephemerally; the SDK does not retain biometric templates or images on the traveler's device.

See also​