FaceTagrFaceTagr

    Solutions

    Identity verification and situational awareness for regulated, high-stakes environments. From workforce management to defense - deployed at scale, proven in the field.

    Core Solutions

    Enterprise Deployments

    Production-ready solutions running on NIST-benchmarked Vision AI - edge-native and offline-first.

    Workforce & Attendance

    Omni-channel biometric attendance: kiosk, mobile, CCTV walkthrough, SDK, API. Anti-spoofing and offline-capable, integrated with 5+ HRMS platforms.

    6 attendance modesAnti-spoofingOffline-firstHRMS integrations

    Smart CCTV & Surveillance

    Plug NBOX into existing cameras and configure AI alerts - intrusion, persons of interest, weapons, unattended children. Mobile alerts with snapshots.

    Any CCTV cameraEdge processingReal-time alertsZone configuration

    Defense & Law Enforcement

    Field-ready mobile identification against watchlists and crime databases. Offline 1:N search on any smartphone. NIST-benchmarked and sovereign.

    1:N watchlist searchOffline capableCheckpoint controlSovereign
    Specialized

    Industry-Specific Solutions

    Purpose-built applications leveraging field-proven edge AI for specific compliance and verification requirements.

    Exam Candidate Verification

    Eliminate ghost writing and impersonation with edge-based face recognition and passive liveness. Proven at election scale - 5M+ voters across 4,000+ booths - now applied to exam integrity.

    Edge-based recognitionPassive livenessOffline capableAudit trailBulk enrollment

    Election & Field Validation

    5M+ voters verified across Bihar on commodity devices. Technology validation at massive scale - offline, audit-transparent, 100% inclusive. Proof of platform capability in extreme field conditions.

    5M+ verified10K+ devicesCommodity hardwareOfflineAudit trail

    Related Resources

    Offline Face Recognition

    How face recognition works without internet - elections, field ops, remote sites.

    Edge vs Cloud Face Recognition

    Data sovereignty, latency, cost - why edge wins for biometrics.

    NIST Benchmark Explained

    What 99.7% accuracy means and how NIST tests face recognition.

    Face Recognition for Police

    CCTV forensics, watchlist alerts, mobile field ID.

    FaceTagr vs Azure Face API

    Edge-native vs cloud-only - feature comparison.

    Face Recognition Attendance

    GPS + face, offline sync, supervisor mode for distributed workforce.

    Don't See Your Use Case?

    FaceTagr's camera-agnostic platform adapts to any requirement.

    Talk to Sales