How Cashfree Payments implemented AI-led video KYC solutions
Synthesized Answer
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Cashfree Payments likely built their AI-led video KYC solution by leveraging computer vision and machine learning technologies to verify customer identities through video interactions. This involves using AI algorithms to analyze facial recognition, liveness detection, and document verification in real-time. The implementation would require integrating these AI capabilities with their existing KYC infrastructure, ensuring compliance with regulatory requirements, and optimizing the user experience.
Key Takeaways
Utilized computer vision and machine learning for identity verification
Integrated AI algorithms for facial recognition and liveness detection
Ensured regulatory compliance and optimized user experience
Real-time interaction between the agent and user is the backbone of video KYC. We built this on top of a WebRTC-based communication layer, which enables real-time communication via audio/video. Our goal was to build a modern, browser-friendly, and low-latency platform, and for that, WebRTC was the best fit. We leveraged the functionalities of WebRTC to utilise it for various use cases in video KYC. Let’s walk through the multiple layers that exist and how we used each one of them for video KYC