5M Voters. 4,000+ Booths. Zero Cloud Dependency.
The Bihar election deployment is our largest field validation - proving NIST-benchmarked face recognition works at mass scale on commodity devices, completely offline.
Technology Validation at Scale
What this deployment proved about edge-native face recognition.
Massive Scale Validation
5M+ voters verified across Bihar state elections - one of the largest real-world deployments of face recognition on commodity devices.
Offline-First Architecture
Entire verification pipeline runs on standard Android phones without internet. Proven in areas with zero connectivity.
30+ Year Photo Matching
Matched voter faces against ID photos up to 30 years old with NIST-benchmarked accuracy. Handles aging, lighting, and quality variation.
Duplicate Detection Across Sites
Real-time cross-booth duplicate checks. If a voter has been verified elsewhere, flagged instantly.
What This Proves
Commodity Android Devices
No capex. Standard officer smartphones became biometric terminals overnight.
DIY Deployment
Thousands of devices configured and deployed rapidly. Minimal training required for field officers.
100% Inclusion by Design
Manual override ensures no voter is ever turned away. Audit-transparent with full logging.
Audit Trail & Transparency
Every verification logged with timestamp, device ID, and result. Ready for electoral audits.
Ready for Your Deployment
Whether it's elections, census, or field verification - the technology is field-proven at scale.
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