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 Android or iOS mobiles or tablets 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

    ✓Up to 99.91% match accuracy (NIST FRTE) - 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 Android and iOS mobiles or tablets - 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 face recognition engine is tested by NIST FRTE, with up to 99.91% match accuracy, 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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