Web-Based KYC Identity Verification and Facial Matching Module
Pain Points (Public)
Web onboarding flows capturing webcam video for document scanning and live face comparison frequently freeze or fail mid-session due to unhandled WebRTC stream interruptions, uncompressed image payload timeouts, and brittle state handling during multi-step KYC checks.
Suggested Approach (Public)
Implement a resilient client-side capture pipeline utilizing HTML5 Canvas frame downsampling, comprehensive WebRTC stream lifecycle listeners, and an asynchronous verification workflow integrating facial recognition services (such as AWS Rekognition) with explicit timeout recovery and user error guidance.
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Opportunity assessment PRO
Development brief PRO
- Position as a drop-in client-side JavaScript and HTML5 Canvas video-frame capture helper that pre-validates ID card framing and lighting before triggering downstream verification APIs.
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- Build an HTML5 Canvas snapshot and compression utility in vanilla JavaScript to convert WebRTC raw frames into optimized payloads under 500KB without freezing the UI thread.
Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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