Online authentication

Security AI

Our Online Authentication system is a comprehensive AI-powered identity verification solution that combines multiple biometric modalities for secure, frictionless authentication. The system integrates facial recognition, speech analysis, and scene analytics to create a robust multi-factor authentication system. Using deep learning and texture analysis, it can detect liveness and prevent spoofing attacks, ensuring that only legitimate users gain access. The multimodal approach provides enhanced security while maintaining a smooth user experience, making it ideal for high-security applications and financial services.

Completed20248 months

Project Overview

Client:SecureBank Financial
Duration:8 months
Team Size:10 developers
Status:Completed

Technologies Used

face recognitionspeech_to_textmultimodal authenticationdeep learningliveness detectiontexture analysis

Key Features

  • Multi-modal biometric authentication
  • Liveness detection and anti-spoofing
  • Real-time facial recognition
  • Voice-based verification
  • Scene context analysis
  • Secure API integration

Challenges Overcome

  • Preventing spoofing attacks
  • Handling varying lighting conditions
  • Ensuring low false acceptance rates
  • Maintaining fast authentication times

Results Achieved

  • 99.5% authentication accuracy
  • 95% reduction in fraud attempts
  • 2-second average authentication time
  • 98% user acceptance rate