FAST: Facial Authentication Solutions Template
A secure, biometric identity platform allowing users to sign in and authorize access via Facial Recognition.
The Problem
Fragile Verification Workflows
Existing access control relied on passwords and physical tokens, which were frequently shared among staff, rendering traditional security measures ineffective.
Latency in Authorization
Remote authentication for field operations suffered from high latency and frequent failures due to poor connectivity and unoptimized biometric capture.
Integration Complexity
The platform needed to integrate with multiple high-traffic tenant applications with varying security requirements and tech stacks.
The Road to Implementation
We architected FAST on top of the Lumiere framework to create a bridge between high-friction security and low-friction access using a 'Scan-to-Authorize' model.
Biometric Engine Research
Benchmarking facial recognition accuracy across various lighting conditions and hardware profiles.
Architecture Prototyping
Designing the secure QR handshake and mobile-to-cloud biometric validation flow.
Mobile App Development
Building the high-performance React Native app for identity proofing and authorization.
Tenant Portal & SDK Launch
Deploying the management interface and releasing the integration SDK for early adopters.
Custom Architecture Built
Scan-to-Authorize Ecosystem
We developed a zero-trust authentication bridge using QR-based 'handshakes' that offload biometrics to the user's mobile device.
Azure/Amazon Biometric Hybrid
A multi-cloud biometric engine that leverages the best-performing facial recognition SDKs based on the specific use case and hardware.
Lumiere Tenant Module
Using Lumiere's module builder, we developed a management interface allowing tenants to define complex biometric policies and monitor access through auto-generated dashboards.
The Outcome
Passwordless login successfully deployed for 5000+ active users across three enterprises
Biometric authentication latency reduced to under 1 second per request
Zero reported incidents of 'spoofing' or unauthorized access through biometric bypass
Integration time for new tenants reduced from weeks to less than 15 minutes
Conclusion
Through our collaboration, FAST has not only automated critical processes but has built a foundation for long-term scalability. The transition from manual, high-friction workflows to a streamlined AI-driven ecosystem represents the future of engineering operations.
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