FaceTagrFaceTagr
    Use Case - Law Enforcement

    Face Recognition for Law Enforcement

    NIST-benchmarked face recognition for police and security agencies. Suspect identification from CCTV, real-time watchlist alerts, mobile field ID on standard phones, and missing person searches - all sovereign, offline-capable, and edge-processed.

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    Capabilities

    Suspect Identification

    Upload a probe image from any source - CCTV still, witness photo, social media. Search against criminal databases. Ranked matches with confidence scores.

    CCTV Watchlist Monitoring

    Real-time monitoring of CCTV networks for persons of interest. Instant push alerts with snapshots when a watchlisted individual is detected.

    Mobile Field ID

    Officers carry standard Android phones with offline 1:N search. Instant identification against watchlists without internet. Proven in field operations.

    Missing Person Search

    Search missing person photos against CCTV feeds and databases. Cross-age matching handles cases where the photo is years old.

    Why Law Enforcement Chooses FaceTagr

    ✓99.7% NIST FRTE accuracy - same benchmark as FBI
    ✓Offline mobile ID - no internet needed in the field
    ✓Sovereign - data never leaves the agency's infrastructure
    ✓Works with existing CCTV - no camera replacement
    ✓Cross-age matching for old mugshots and missing persons
    ✓Deployed in real law enforcement operations
    ✓Passive liveness prevents spoofing
    ✓Edge processing - sub-second results

    Frequently Asked Questions

    How do police use face recognition?

    Law enforcement uses face recognition for suspect identification from CCTV footage, real-time watchlist monitoring, missing person searches, and field identification. FaceTagr enables all of these with NIST-benchmarked accuracy - on existing cameras and standard mobile phones.

    Can police use face recognition on mobile phones?

    Yes. FaceTagr's Mobile SDK enables officers to run 1:N face searches on standard Android phones - even without internet. Photograph a person of interest in the field, and get instant matches against the local watchlist database.

    Is face recognition accurate enough for law enforcement?

    FaceTagr's 99.7% NIST FRTE accuracy is validated by the same benchmark used by the FBI and Homeland Security. The system provides investigative leads with confidence scores - trained officers make final identification decisions.

    Can face recognition work with poor quality CCTV footage?

    FaceTagr is trained to handle real-world conditions - low light, partial occlusion, motion blur, and oblique angles. While better footage yields better results, FaceTagr extracts matches from footage quality that other systems would reject.

    Request a Law Enforcement Briefing

    Sovereign deployment options. Contact our defense & security team.

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