Our AI-powered facial recognition and liveness detection
help you stay ahead of fraudsters every step of the way.
0 M+
IDs verified
–0 %
Reduced Drop-off rate
0 X
Increase in frauds caught
0 sec
Authentication speed
Biometrics lab accredited by NIST
Global benchmark for facial recognition
ISO-certified single image passive liveness
No need for user actions to verify liveness
See how it works -> See how it works -> See how it works ->Image detection model catches inconsistency in images by using vectors
Video detection model analyzes each frame to identify anomalies
See how it works -> See how it works -> See how it works ->Quick detection in under 3 seconds
Best-in-class accuracy of 98.5%
See how it works -> See how it works -> See how it works ->95% auto-approval rate
Quick and easy authentication
See how it works -> See how it works -> See how it works ->Take a selfie
User is asked to take a selfie
Liveness check
Selfie is checked to make sure a
live person clicked it
Facematch verification
Face in the selfie is cross-verified with the
face in the database to ensure authenticity
Decision making
User is allowed or goes in review
depending on the face match results
How does facial recognition technology contribute to user authentication and identity authentication for businesses globally?
Facial recognition systems, utilizing sophisticated algorithms and machine learning techniques, play a pivotal role in global businesses by providing secure and efficient user and identity authentication. By precisely measuring facial expressions and features, these systems offer a robust means of verification. Businesses across diverse industries benefit from the reliability and enhanced security that face recognition technology brings to the forefront of user authentication and identity verification processes.
What key features should businesses look for when choosing the best facial recognition software?
When selecting facial recognition solutions for identity verification, businesses should prioritize features like liveness detection. Ensure seamless integration with existing systems streamlines processes, with the incorporation of facial detection to add an extra layer of security for robust user authentication.
Does a facial recognition system comply with biometric data protection laws?
Facial recognition software significantly enhances security measures in financial institutions by facilitating biometric verification, ensuring secure transactions, and aligning with biometric identity regulations. Businesses can protect user privacy by choosing a facial recognition solution with strong data protection measures. This includes adherence to international regulations, using facial recognition data responsibly, and implementing features that safeguard against potential misuse, fostering trust among users, and maintaining compliance.
The latest news, updates and more about KYC industries & related market resources from our team.
Face Liveness Check: A Comprehensive Method Comparison and Benchmarks
Why high-quality single image liveness is the way forward for modern, fraud-resistant, customer-centric onboarding solutions.
How Does Facial Recognition Work? Accuracy Benchmarks and Examples
Uncover the essentials of facial recognition technology, its applications, accuracy benchmarks, and key factors to look for.
Facial Recognition API Vs. SDK: The Right Choice For Liveness Verification
In our dynamic digital world, the significance of online identity verification and liveness checks has surged amid rising...