Biometric Services

Facial Age Estimation

AI-powered age estimation from a single selfie with no identity document required. NIST-benchmarked accuracy delivers reliable age-band classification in under one second while preserving user anonymity. The model processes facial geometry without storing biometric data, making it ideal for privacy-sensitive use cases where a quick, non-intrusive age check is sufficient.

ISO/IEC 27001:2022
eIDAS Certified
ISAE 3402
GDPR Compliant
BSI C5
Prezentare generală

Anonymous Age Estimation from a Selfie

Facial Age Estimation uses deep-learning models trained on diverse, globally representative datasets to predict a user's age band from a single selfie image. No identity document is needed and no biometric template is stored, enabling fully anonymous age checks that comply with the strictest data-minimisation requirements.

  • NIST-benchmarked AI model with high accuracy across all demographics
  • No identity document upload required — selfie only
  • Privacy-first architecture with no biometric data retention
  • Sub-second results enable inline verification without user friction
  • Configurable age thresholds adapt to any regulatory requirement
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Funcționalități

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Funcționalități puternice proiectate pentru performanță și compliance la nivel enterprise

AI Analysis

Deep-learning model analyses facial geometry to estimate age band with NIST-benchmarked accuracy. The model is trained on globally diverse datasets to ensure consistent performance across all demographics and skin tones.

No Document Required

Users provide a single selfie image to complete the age check. No passport, ID card, or other identity document is needed, reducing friction and broadening accessibility for all user groups.

Privacy-First

No biometric template or facial image is stored after processing. The system returns a simple pass/fail result against the configured age threshold, fully compliant with GDPR data-minimisation principles.

Under 1 Second

End-to-end processing completes in under one second, enabling real-time age gating within registration, checkout, and content access flows without perceptible delay.

Global

Unbiased performance across all ethnicities and regions because the model does not rely on document formats or country-specific templates. Works anywhere a camera is available.

Configurable Thresholds

Set custom age thresholds to match your regulatory requirements — 16, 18, 21, 25, or any other boundary. Multiple thresholds can be evaluated in a single request for multi-tier access control.

Aplicații

Cazuri de utilizare

Vedeți cum folosesc afacerile Facial Age Estimation în producție

01

Online Age-Gated Content

Gate access to age-restricted digital content, platforms, and services with a fast, anonymous selfie-based age check that requires no document upload.

Meet KJM and Ofcom age assurance requirements with a frictionless selfie flow
Maximise conversion by eliminating the need for document uploads
Preserve user anonymity with zero biometric data retention
02

Retail Self-Checkout

Automate age verification at self-checkout kiosks and vending machines for regulated products such as alcohol, tobacco, and pharmaceuticals.

Replace manual staff checks with instant AI-powered age estimation
Reduce checkout queues and improve the customer experience
Maintain full audit trails of every age verification event for compliance
FAQ

Frequently Asked Questions

Answers to the most common implementation and compliance questions about Facial Age Estimation.

How quickly can we integrate Facial Age Estimation?

Most teams launch Facial Age Estimation in days, not months, using our hosted flows or API-first integration.

Which compliance requirements does Facial Age Estimation support?

Facial Age Estimation is designed for regulated Biometric Services use cases with full auditability and EU data protection standards.

How does Facial Age Estimation help reduce fraud risk?

Facial Age Estimation combines multiple verification signals, risk controls, and evidence logs to stop abuse while keeping conversion high.

Can Facial Age Estimation scale for enterprise volumes?

Facial Age Estimation is built for high-throughput workloads with resilient infrastructure, SLA-backed uptime, and flexible deployment options.

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