Face Recognition for Elections
Offline voter identity verification at scale. Deployed across 4,000+ booths, verifying 5M+ voters on mobile devices. One person, one vote - verified by AI.
How It Works at the Polling Booth
Load Voter Database
Electoral roll with photos loaded to Android devices before election day. Encrypted and tamper-proof.
Verify Voter Identity
Voter presents themselves. Election worker captures face with phone camera. Instant 1:1 match against enrolled photo.
Liveness Check
Passive liveness detection ensures a real person - not a photo, video, or mask. No interaction required.
Record & Sync
Verification result logged with timestamp and booth ID. Data syncs to central system when connectivity is available.
Frequently Asked Questions
How is face recognition used in elections?
Face recognition verifies voter identity at polling booths by matching a voter's face against their enrolled photo in the electoral database. This prevents impersonation, bogus voting, and duplicate voting - ensuring one person, one vote.
Can face recognition for elections work offline?
Yes. FaceTagr's election solution (SvaDESH) works entirely offline on mobile and tablet devices. The voter database is loaded locally, and all matching happens on-device. No internet is needed at the polling booth. Results sync to the central system after voting concludes.
Has face recognition been used in real elections?
Yes. FaceTagr was deployed across 4,000+ booths in Bihar panchayat elections, verifying 5M+ voters. The system ran on mobile devices in areas with no internet connectivity.
What hardware is needed for election face recognition?
A mobile or tablet device with 2GB RAM minimum and a front camera. No specialized biometric terminals or expensive hardware. Election workers can use familiar field devices.
Deploy Election-Grade Voter Verification
Proven at scale. Contact our government solutions team.
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