Liveness Detection

Advanced Anti-Spoofing & Real Person Verification

Prevent identity fraud with cutting-edge liveness detection technology. Our AI-powered system ensures that the person being verified is physically present and not using photos, videos, masks, or deepfakes.

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Live Person Detected

Confidence

98%

Why Liveness Detection Matters

Protect against advanced spoofing attacks

Anti-Spoofing Protection

Advanced algorithms detect and prevent photo, video, mask, and deepfake attacks with 99.9% accuracy.

Real Person Verification

Ensures the individual is physically present during verification, not a pre-recorded video or image.

Instant Verification

Real-time liveness checks completed in under 3 seconds with immediate results.

Mobile-First Design

Seamless experience across all devices - smartphones, tablets, and webcams.

Active & Passive Detection

Combines challenge-response and passive analysis for maximum security without compromising user experience.

Privacy-First Approach

DPDP Act compliant with encrypted data transmission and secure storage protocols.

How Liveness Detection Works

Multi-layered verification in seconds

Face Detection & Positioning

AI algorithms detect the user's face and guide them to position correctly within the frame. System ensures proper lighting and camera angle for optimal verification.

Automatic face detection
Real-time positioning guidance
Lighting quality assessment

Active Liveness Challenges

User performs simple actions (blink, smile, turn head) to prove they're a real person. Random challenges prevent replay attacks and pre-recorded videos.

Random challenge generation
Motion detection
Response timing analysis

Passive Analysis

AI analyzes micro-movements, skin texture, depth perception, and other biometric markers that are impossible to replicate with photos or masks.

3D depth mapping
Texture analysis
Micro-expression detection

Verification & Authentication

System generates confidence score and validates the person is genuine. Results are logged with timestamp, location, and device information for audit trail.

Confidence score generation
Audit trail creation
Instant pass/fail result

What Attacks We Prevent

Comprehensive protection against all spoofing methods

Photo Attacks

Detects printed photos, digital images on screens, and high-resolution displays

Video Replay

Identifies pre-recorded videos played on devices or screens

3D Masks

Recognizes silicone masks, 3D-printed faces, and prosthetics

Deepfakes

Advanced AI detection of deepfake videos and face-swap technology

Face Cutouts

Identifies paper cutouts and 2D representations held in front of camera

Screen Replays

Detects videos or images displayed on computer monitors or tablets

Impersonation

Identifies when someone is pretending to be another person

Morphing Attacks

Detects morphed or digitally altered faces

Technical Capabilities

AI Technology

Deep Neural Networks
Computer Vision Algorithms
3D Depth Perception
Behavioral Biometrics

Detection Methods

Active Liveness (Challenges)
Passive Liveness (Background)
Hybrid Approach
Multi-factor Analysis

Device Support

iOS & Android Devices
Web Browsers (WebRTC)
Tablets & iPads
Desktop Webcams

Performance

Verification Time: < 3 seconds
Accuracy: 99.9%
False Accept Rate: < 0.01%
False Reject Rate: < 1%

Use Cases

Industry applications for liveness detection

Employee Onboarding

Verify new employee identity during remote onboarding and prevent fraudulent applications.

Online Examinations

Ensure test-taker authenticity for online exams and certifications with continuous monitoring.

Financial KYC

Meet regulatory compliance for digital KYC with verified customer identity checks.

Video Interviews

Confirm candidate presence during remote interviews and prevent proxy interviews.