Biometrics & Liveness

Q: Does passive liveness work on all devices?

Passive liveness works on any device with a front-facing camera. Our SDK automatically falls back to active liveness on older devices with lower camera quality.

Q: Can it detect deepfakes?

Yes. Our models are specifically trained on deepfake datasets including GAN and diffusion-model generated faces, achieving a 0% deepfake pass rate in testing.

Q: What happens in low-light conditions?

Our models are trained on diverse lighting conditions common in African environments. The SDK also provides real-time guidance to users to improve capture quality.

Q: Is the selfie stored?

Selfie images are processed and discarded by default. You can configure retention for audit purposes within your data retention policy.

Prove the person is real — not a photo, mask, or deepfake.

VerifyAfrica's biometric verification and liveness detection engine ensures the person presenting a document is genuinely present and alive. Defeat spoofing attacks including printed photos, video replays, 3D masks, and AI-generated deepfakes.

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99.8%

Liveness Accuracy

<2s

Check Duration

Deepfake Pass Rate

ISO 30107

Certified Standard

How It Works

From submission to decision in seconds

A transparent, auditable process designed for speed and compliance.

Selfie Capture

The user takes a selfie via our SDK. Passive liveness runs automatically — no head turns or blinks required for most checks.

Liveness Detection

Our AI analyses depth maps, texture, and micro-movements to confirm a live person is present, defeating photos, videos, and masks.

Facial Matching

The selfie is compared against the document photo using 3D facial geometry matching, achieving 99.8% accuracy.

Result & Audit Trail

A match score and liveness confidence score are returned. All images and scores are stored in a tamper-proof audit trail.

Capabilities

Everything included, out of the box

No stitching together multiple vendors. Every capability you need in a single API.

Passive Liveness

No user action required — liveness is detected from a single selfie frame.

Active Liveness

Challenge-response liveness for high-risk scenarios requiring stronger assurance.

Deepfake Detection

AI models trained to detect GAN-generated and diffusion-model deepfake faces.

3D Facial Matching

3D geometry-based facial comparison for high accuracy across lighting conditions.

Mobile SDK

Native iOS and Android SDKs with optimised camera handling for African network conditions.

ISO 30107 Compliant

Certified against ISO 30107-3 Presentation Attack Detection standards.

Use Cases

Built for every industry in Africa

Trusted by fintechs, banks, iGaming operators, and more across the continent.

Fintech & Banking

Confirm customer identity at account opening and for high-value transaction authorisation.

iGaming

Verify player identity and age at registration to meet gaming authority requirements.

Telecoms

SIM swap prevention and subscriber identity verification.

Healthcare

Patient identity verification for telemedicine and prescription services.

FAQ

Common questions

Everything you need to know about Biometrics & Liveness.