Biometric
Capture,
Simplified
Onboard anyone, anywhere. ROC Enroll brings face recognition, age estimation, and liveness to any browser or mobile app. This is biometrics for the real world: fast, accurate, and effortless.
Powered by proof.
ROC Enroll brings compliance-grade capture, liveness, and matching to the browser — validated by independent testing. Responsible Vision AI and privacy by design come standard, ensuring trust is embedded in every match.
01
Field-Ready
Performance
Powered by the #1 NIST-ranked face recognition engine for unmatched accuracy and efficiency. Ranked by NIST
02
Liveness You
Can Count On
Single-frame passive liveness and iBeta Level-2 PAD blocks spoofing attempts from photos, videos, and masks.
03
Standards-Based
Capture
NIST SIDD performance ensures ICAO and ISO compliance out of the box for frictionless enrollment at scale.
HOW IT WORKS
The shortest path from selfie to trust.
Face & Liveness Capture
Instantly confirm the user is real and physically present with a single selfie. iBeta-compliant PAD detects and blocks photo, video, and 3D mask-based presentation attacks. No app required.
Biometric Mapping
AI analyzes and encodes key facial features to create a high-fidelity digital map, consisting of hundreds of fine-grained data points, forming a robust biometric signature.
Template Optimization
Image Quality Compliance
Validate capture quality against ICAO and ISO guidelines with automated checks for pose, illumination, sharpness, and occlusion. Prompt recapture when needed so every enrollment is match-ready.
Verification & Orchestration
Put the template to work with instant 1:1 verification and seamless handoffs to downstream systems, including video analytics, watchlists, PACS, and KYC.
Workflow Engine
Rules-based orchestration for custom enrollment flows. Connect to preferred KYC providers for document authentication, biographic confirmation, plus AML screening, sanctions, and watchlist checks.
Management Dashboard
Human review and adjudication with queues, audit trails, and role-based controls. Monitor outcomes and resolve exceptions at scale.
SOLUTIONS
Drive your identity +
intelligence missions forward.
SPEC SHEET
Identity Capture
- Proven face recognition in real-world conditions
- Single-frame passive liveness
- ICAO/ISO image-quality assessment for enrollment standards
- Auto-centering and background normalization for cleaner captures
- Guided UX for lighting, pose, and capture completion
- Optical character recognition for biometric data capture
- Document and credential authentication
Integration & Deployment
- SDK and REST API for any mobile or web app
- Modular design for custom workflows
- Cloud, on-prem, or air-gapped deployments
- BYOD, PACS, and kiosk-friendly
- Analytics & adjudication dashboard
- Audit-ready compliance & case management
- Seamless handoffs to KYC and AML
- Sanctions, watchlisting & criminal database matching
Proven Performance
- #1 NIST-ranked face recognition algorithm in combined accuracy and efficiency
- Top U.S. age estimation provider ranked by NIST
- iBeta Level-2 PAD certified
Next-Gen Efficiency
- Compact, bandwidth-friendly templates for low latency
- Operates on constrained networks and edge devices
- Lower TCO through smaller payloads, faster comparisons, and lean SDKs
What is biometric enrollment?
Biometric enrollment is the first capture of a person’s traits to create a secure reference template. Common modalities include face, fingerprint, and iris. That template, your trusted digital identity, is later used for 1:1 verification, like logging into an account or opening a secure door, and for 1:N identification, such as identity deduplication, watchlist searches, or locating a missing person. A strong process includes liveness, image-quality checks, and when required, ID proofing that binds verified identity data to the template. Governments and enterprises rely on these enrolled templates to run secure identity systems and compare new captures quickly at scale.
What else should a robust enrollment program include?
Beyond the basics, enrollment programs also address privacy and security by design: templates (not raw images) are stored, data is encrypted in transit and at rest, access is policy-bound and auditable, and retention policies govern how long data is kept. Many programs support both self-service (mobile selfie) and supervised (kiosk/operator) capture for different risk levels. Modern systems may be multimodal (enrolling more than one trait for resilience), provide update paths as a person changes over time, and offer consent and transparency notices so users understand how their data is used. For public deployments, fairness and accessibility matter, too. Clear capture guidance, support for varied lighting and devices, and ongoing performance monitoring help reduce failure rates in real-world conditions and against diverse population sets. Finally, adherence to standards and governance ensures the enrolled identities can interoperate across systems and jurisdictions while maintaining trust.
Learn more about Biometric Testing, Standards, and Responsible AI
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