Prove They're
Really There.

Advanced liveness detection that catches photos, videos, masks, and deepfakes. Know with certainty that a real person is present—not a spoofing attack.

Depth Verified
Motion Detected
Texture Analyzed

The Threat Is Evolving

Fraudsters don't show up in person anymore. They use photos, videos, masks, and AI-generated deepfakes to bypass verification. Without liveness detection, you can't tell who's really there.

Print Attacks

Printed photos of victims held up to the camera

Screen Replay

Photos or videos displayed on phones, tablets, or monitors

Mask Attacks

2D paper masks or 3D silicone masks of the victim

Deepfakes

AI-generated synthetic faces or real-time face swaps

Virtual Cameras

Software injecting pre-recorded video into the camera feed

Emulator Attacks

Mobile emulators with manipulated camera input

Two Modes of Protection

Choose the right level of liveness assurance for your use case—or combine both for maximum security.

Passive Liveness

Frictionless

Analyzes a single image for liveness signals without any user action. Perfect for low-friction flows where conversion matters.

  • No user action required
  • Single selfie analysis
  • Sub-second detection
  • Texture & depth analysis
  • Screen reflection detection
Mobile OnboardingLow-Risk Transactions

Active Liveness

Maximum Security

Challenge-response verification that requires the user to perform specific actions. The strongest defense against sophisticated attacks.

  • Random challenge sequences
  • Video-based analysis
  • Temporal consistency checks
  • Anti-deepfake detection
  • 3D motion verification
Financial ServicesHigh-Value Transactions

Smart Challenge Sequences

Randomized challenges that are easy for real users but nearly impossible for attackers to predict and fake.

Turn Head Left

Detects 3D motion and defeats flat photos

Turn Head Right

Verifies head movement consistency

Smile

Detects natural facial muscle movement

Blink

Catches static photos and paper masks

Move Closer

Analyzes depth and perspective changes

Move Away

Verifies natural distance variation

Multi-Signal Analysis

We don't rely on a single check. Multiple independent signals are analyzed and fused to produce a robust liveness score.

Texture Analysis

Skin Texture

Real skin has micro-patterns that paper and screens lack

Specular Reflection

Screen glare and paper sheen have distinct signatures

Moiré Patterns

Screen displays create interference patterns on camera

Motion Analysis

Micro-Movements

Real faces have subtle involuntary motion

Eye Movement

Natural gaze patterns and saccades

Temporal Consistency

Motion should be smooth and natural

Depth Analysis

3D Structure

Faces have depth that flat media lacks

Motion Parallax

Depth cues from movement perspective

Lighting Consistency

Light should interact correctly with 3D surface

Built for the Deepfake Era

AI-generated faces are getting better every month. Our liveness detection is trained on the latest deepfake techniques and continuously updated as new attacks emerge.

Artifact Detection

Catches subtle inconsistencies in AI-generated faces

Continuous Learning

Models updated regularly on new attack patterns

Red Team Testing

Regularly tested against latest spoofing techniques

Speed Meets Security

<500msPassive LivenessSingle image analysis
2-5sActive LivenessFull challenge sequence
99%+Genuine Accept RateReal users pass easily
<1%Spoof Accept RateAttacks blocked

Essential for Every Verification

Account Opening

Ensure the person opening an account is really there—not a fraudster with a stolen ID.

Transaction Authentication

Step-up verification for high-value transactions to confirm account holder presence.

Account Recovery

Verify identity during password reset and account recovery to prevent takeovers.

Exam Proctoring

Confirm test-takers are present throughout online exams and certifications.

Remote Onboarding

Verify new employees during remote hiring and onboarding processes.

Gaming & Betting

Comply with age verification and account uniqueness requirements.

Built Into Every Flow

Liveness detection is integrated into our verification SDK. Enable it with a single configuration option—we handle all the complexity.

SDK handles camera capture and challenges
Choose passive, active, or both
Configurable challenge sequences
Liveness score included in verification result
// Enable liveness detection
const session = await owlEyes.createSession({
  verificationType: 'identity',
  liveness: {
    mode: 'active',  // or 'passive' or 'both'
    challenges: ['head_turn', 'blink', 'smile']
  }
});

// Liveness result in verification response
const result = await session.getResult();
console.log(result.liveness);
// {
//   passed: true,
//   confidence: 98,
//   mode: 'active',
//   challengesPassed: 3,
//   signals: { texture: 95, motion: 97, depth: 96 }
// }
Also Available for Enterprise

Liveness for Workforce Authentication

The same liveness technology that protects customer verification also powers enterprise employee authentication—proving your workforce is really there.

Physical Access Control

Prevent tailgating and badge sharing with biometric liveness at every door. The face at the reader must be a real, live person—not a photo.

Privileged Access

Step-up authentication for sensitive systems. Before accessing PII, financial systems, or admin panels—prove presence with active liveness.

Remote Workforce

Verify remote employees are really at their keyboards. Continuous presence checks for high-security roles and compliance requirements.

Stop Spoofing Before It Starts

Liveness detection is essential for any remote identity verification. Prove your users are really there—and keep the fraudsters out.