Used for
- Remote Work ManagementSecure online transactionseKYC processesIdentity verification in banking and fintechPublic safety and security
Features
- Scalable architectureVideo AnalyticsSecure online transactionsFace Liveness DetectionComprehensive developer documentationAdvanced video analyticsNIST FRVT Top 1 AlgorithmReal-time Face RecognitionAI-Driven AuthenticationRemote Work ManagementFintech Identity SolutionsEnhanced Public SafetyNIST FRVT Top 1 Face Recognition AlgorithmHigh-performance biometric technologyAI-driven face authenticationOn-premise deployment for enhanced securityIntegration with existing eKYC systems
What is the primary use of the On-premise Face Recognition SDK for eKYC?
The primary use of the SDK is to enhance identity verification processes through facial recognition and liveness detection, making it ideal for eKYC in sectors such as banking and security.What algorithm does the SDK use for face recognition?
The SDK uses the NIST FRVT Top 1 Face Recognition Algorithm.Can this SDK be integrated with existing eKYC systems?
Yes, the SDK is designed for easy integration with existing eKYC systems.Is the SDK deployed on-premise or in the cloud?
The SDK is deployed on-premise to ensure enhanced security.How does the SDK ensure secure online transactions?
The SDK uses AI-driven face authentication to ensure secure online transactions by verifying the identity of users.What industries benefit most from using this SDK?
Industries such as banking, fintech, security, and healthcare benefit most from this SDK.Does the SDK offer real-time recognition capabilities?
Yes, the SDK provides real-time face recognition capabilities.How scalable is the SDK architecture?
The SDK features a scalable architecture to accommodate varying business needs.What additional features does the SDK offer besides face recognition?
Besides face recognition, the SDK offers face liveness detection, video analytics, and AI-driven authentication.Is there developer documentation available for the SDK?
Yes, comprehensive developer documentation is available to assist with integration and implementation.