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Passive Liveness · ISO 30107-3

Prove it's a real face.
Right now.

Q: What is passive liveness detection?

Passive liveness analyzes a single selfie image to determine if a real, live person is present - without requiring the user to blink, smile, turn their head, or perform any active challenge. This provides the best user experience while maintaining high security.

Q: Can deepidv detect deepfake attacks?

Yes. Our injection prevention module detects GAN-generated faces, face-swap deepfakes, and virtual camera injection. Device integrity checks ensure the camera feed hasn't been hijacked or manipulated before reaching our analysis engine.

Q: What is ISO 30107-3 certification?

ISO 30107-3 is the international standard for presentation attack detection (PAD) in biometric systems. It defines testing methodologies for evaluating how well a system detects spoofing attempts. Our liveness module is independently certified under this standard.

Q: Does liveness detection work on all devices?

Yes. Our liveness detection works on any device with a standard front-facing camera - smartphones, tablets, laptops, and webcams. No special hardware, infrared sensors, or depth cameras are required.

Q: How does liveness detection integrate with other deepidv products?

Face liveness is a foundational module that integrates with document verification (selfie-to-ID matching), biometric matching (1:1 and 1:N), and age estimation. A single SDK call can chain liveness + matching + document verification in one flow.

Passive liveness, presentation-attack detection, and injection prevention verify a real, live human is present — not a photo, video, mask, or deepfake. ISO 30107-3 certified, sub-second, and zero user friction.

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DocumentationDeveloper docs

deepidv confirms a live human, runs passive checks with no challenge, and blocks every spoof — in a single frame, in under a second.

LivenessLive

Real face confirmedPassive · single frame

A real, live human

A single normal selfie is enough to confirm a living person is present — no blink, smile, or head-turn, and the best experience for legitimate users.

Passive signals

Texture

Depth

Motion

Passive, frictionless checks

Skin texture, depth, micro-motion, and reflection are analyzed in the background, so liveness is proven without asking the user to do anything.

Attack<1s

Mask & replayInjected feedGenuine capture passes

Every spoof blocked

Printed photos, screen replays, 3D and silicone masks, and virtual-camera injection are caught and rejected before they reach your flow.

By the Numbers

Liveness that holds under attack

Independently tested against NIST PAD standards and certified across diverse demographic groups for fairness.

99.8%
Liveness accuracy: <1s
Decision returned: ISO 30107-3
PAD certified: Any camera
No special hardware

Passive Liveness Detection

One selfie. Proven live.

No blink, smile, or head-turn required. deepidv analyzes a single normal selfie to confirm a real, live person is present — keeping friction at zero while accuracy stays high, on any device with a standard camera.

How passive liveness works

Zero user friction

No active challenge needed

Single-frame analysis

Liveness from one selfie

Works on any camera

Phones, tablets, webcams

Demographic fairness

Certified across groups

deepidv · passive scanscanning

● scanning

Passive signals4 / 4 pass

Skin texturematerial confirmed

Depth & 3Dplanar test passed

Micro-motionlive motion detected

Reflectionsurface glare absent

✓ Live human confirmed · no challenge issued

Presentation Attack Detection

Photos, masks, and replays collapse

Every capture is examined for the tell-tale signatures of a spoof. Texture, depth, and reflection analysis catch printed photos, screen replays, and 3D masks in real time — PAD Level 1 and Level 2, certified.

Attacks we catch

Printed photos

Flat, depthless presentations

Screen replays

Moiré & glare artifacts

3D & silicone masks

Latex, paper, silicone

Texture & depth

Material analysis in real time

deepidv · attack blockedrejected

● blocked

Attacks caughtAuto-rejected

Printed photoPAD Level 1

Screen replayPAD Level 2

3D / silicone maskPAD Level 2

Injected feedVirtual camera

Injection Prevention & Scoring

Block the channel, score the result

Modern attacks skip the camera entirely. deepidv blocks virtual-camera injection and feed manipulation, detects GAN faces and face-swap deepfakes, and returns a calibrated liveness score you can branch your logic on — chained with matching and document verification in one SDK call.

Defense & integration

Injection blocking

Virtual cameras & feed tampering

Deepfake detection

GAN faces & face swaps

Device integrity

No camera-API hijacking

One SDK call

Liveness + matching + docs

Read the docs

POST /v1/liveness/check200 ok

Liveness score

0.99/ 1.00

Live

{
"verdict": "live",
"liveness_score": 0.99,
"injection_blocked": false,
"action": "pass"
}

Image APIVideo APIMobile SDKBatch

Trusted & Certified

Built to meet the world's most demanding security and privacy standards.

SOC 2 Type II

Audited security controls for data protection

GDPR Compliant

Full compliance with EU data privacy regulations

ISO 27001

International standard for information security

DIACC Member

Digital ID & Authentication Council of Canada

Integration

Take full control.
Getting started takes minutes.

Plug deepidv into your stack three ways — a REST API, native SDKs, or an MCP server your AI agents can call directly. Clean docs, a sandbox, and one source of truth take you from API key to live verification the same day.

REST API

Call any verification service directly — create a session or run a standalone check and get structured JSON back in under 500ms.

→ screening 200+ watchlists…
✓ status: clear
  risk_score: 4 · 143ms

Drop-in SDK

Pre-built UI components and server libraries for iOS, Android, Web, Node, Python, and Go — zero to live verification in a single sprint.

  checks: ['id','liveness','face'],
✓ v.url → send to your user

MCP for agents

An open protocol that lets any AI agent call deepidv's verification engine directly — no custom integration code. Connect it in one command.

Claude

Launch deepidv for my AI agent — set it up from the docs.

✓ 12 verification tools available

Ready to run ID, liveness & AML checks.

Changelog

The Latest

See all releases

May 18, 2026Release

Verify 2.0 is here

Multi-language verification, a redesigned ID & face-capture flow, end-to-end whitelabel, and a native Background Check step.

May 9, 2026Features

ProofCall, smoother capture & translated reports

AI background-confirmation calls, faster camera start-up, translated PDF/HTML reports, and location-by-IP enrichment.

April 10, 2026AI

AI-powered adverse media screening

Continuous, AI-driven adverse-media checks built natively into your verification workflows.

See all releases

Frequently asked questions

Passive liveness analyzes a single selfie image to determine if a real, live person is present - without requiring the user to blink, smile, turn their head, or perform any active challenge. This provides the best user experience while maintaining high security.

Yes. Our injection prevention module detects GAN-generated faces, face-swap deepfakes, and virtual camera injection. Device integrity checks ensure the camera feed hasn't been hijacked or manipulated before reaching our analysis engine.

ISO 30107-3 is the international standard for presentation attack detection (PAD) in biometric systems. It defines testing methodologies for evaluating how well a system detects spoofing attempts. Our liveness module is independently certified under this standard.

Yes. Our liveness detection works on any device with a standard front-facing camera - smartphones, tablets, laptops, and webcams. No special hardware, infrared sensors, or depth cameras are required.

Face liveness is a foundational module that integrates with document verification (selfie-to-ID matching), biometric matching (1:1 and 1:N), and age estimation. A single SDK call can chain liveness + matching + document verification in one flow.

Still have questions?

Our team is ready to help you get started.

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