Pixl Liveness Detection API

Secure Your Users,Enhance Convenience

face recognition
spoofing attacks

What is Liveness Detection

Liveness detection represents the advanced technology that guarantees the presence of a real person behind the screen. Through this innovative technology, fraud is effectively restricted by accurately monitoring between a live user and fraudulent attempts, such as using a static photo or using malicious applications.

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Simplified User Experience & Advanced Security

effortless integration

Effortless Integration:

Integrate Pixl's API smoothly into your existing applications for a frictionless user experience. 

real time verification

Real-Time Verification:

Guarantee users are physically present during verification, thwarting attempts to spoof identities with photos or videos. 

anti spoofing

Advanced Anti-Spoofing:

Our robust measures effectively distinguish between real human eyes and sophisticated spoofing tactics.

multimodel verification

Multimodal Verification:

Fortify security by combining eye blink detection with facial recognition or head movement analysis. 

Customization

Customization Options:

Tailor the verification process to your specific needs, including location-based adjustments. 

biometric authentication
face image live detection face image
Face Recognition Technology

Secure User Authentication with Pixl's Liveness Detection API

Eliminate fraudulent activity and guarantee user authenticity with unwavering confidence using Pixl's Liveness Detection API. Our advanced solution fortifies your business and ensures user protection.

Key Features

Defend Against Fraudulent Activity

Pixl's Liveness Detection API shields your platform from fake accounts, safeguarding your users and data.

Instill User Trust

Cultivate a secure environment that fosters unwavering trust and drives heightened user engagement.

Streamline User Onboarding

Expedite the onboarding process with seamless and secure liveness checks powered by our Liveness Detection API.

To perform Pixl Advanced Liveness Detection

Anti-Spoofing Measures

Face Matching :

The system compares the user's face with stored facial records for precise identification.

Spoofing Attack Prevention

Liveness Detection :

Verifies the user's live presence by analyzing natural blinking, live lip movements, and background authenticity.

Identity Verification System

Verification Methods :

Users complete the identity verification process through voice command authentication or on-screen steps.

Face Image Capture

Decision-Making :

The system meticulously evaluates the verification results, comparing them with previous steps to determine authenticity.

Try Pixl's AI-powered liveness detection for secure identity verification

Boost security with Pixl's Liveness Check, which verifies real human presence, prevents fraud, and ensures a smooth user experience.

Frequently Asked Questions

Liveness detection is a security feature that ensures the person being authenticated is physically present in front of the camera, rather than an imposter using a photo, video, or mask. This helps prevent spoofing attacks and enhances the security of biometric verification processes.

The API uses advanced algorithms to analyze facial movements, expressions, and other biometric cues to determine if the subject is a live person. The process typically involves capturing images or video of the user and performing real-time analysis to verify their presence.

The API is designed to prevent various types of spoofing attacks, including those involving photos, videos, 3D masks, and deepfake technology. It detects subtle differences between live and spoofed inputs to ensure accurate authentication.

User privacy is a top priority. The API only processes the data necessary for liveness detection, and all biometric data is encrypted and handled according to industry-standard privacy practices. No data is stored permanently without user consent.

Yes, the API can be seamlessly integrated with other authentication methods, such as facial recognition, fingerprint scanning, or password-based systems. This enhances overall security by adding an extra layer of verification during the authentication process.