Biometric Identity Verification Platform

A regulated industry client needed a scalable identity and age verification system that could operate across 25+ US states and 3 international jurisdictions, each with different legal requirements. Existing solutions were either too expensive, too slow, or couldn't handle the multi-jurisdiction complexity. They needed browser-based verification that worked on any device without app downloads, with enough accuracy to meet strict regulatory standards.

We designed and built a multi-algorithm biometric verification system using three independent face-matching algorithms (Dlib, ArcFace, and AWS Rekognition) with custom-calibrated scoring thresholds. The platform deploys 15+ pre-trained ML models across both server (PyTorch) and browser (TensorFlow.js via WebGL/WASM/WebGPU) for face detection, age estimation, anti-spoofing, liveness detection, and emotion recognition. We also built client integration SDKs in three languages and a QR-based mobile-to-desktop handoff system.

The platform now handles verification across 25+ jurisdictions with sub-second response times. The multi-algorithm consensus approach significantly reduced false acceptance rates compared to single-algorithm solutions. Browser-based inference eliminated the need for app downloads, increasing completion rates. The SDK integrations enabled third-party websites to add verification with minimal development effort.