FaceTagrFaceTagr

    Resources

    Guides for teams evaluating face recognition

    Written for the people doing the evaluation: mobile engineers choosing an SDK, HR and payroll teams integrating attendance, and integrators wiring existing CCTV.

    SDK & integration

    On-device face recognition SDK

    Android, iOS, Flutter, React Native, 1:1, 1:N, passive liveness, and fully offline workflows.

    Offline face recognition SDK

    On-device verification, identification, and passive liveness without continuous internet.

    On-device vs cloud face recognition: when to choose an edge SDK

    Latency, cost per verification, liveness, and data residency compared.

    Face recognition SDK for Android and iOS - offline-first

    Five-step integration guide, device coverage, and licensing for offline fleets.

    HRMS face recognition SDK

    Embedded biometrics for HRMS, workforce, payroll, and attendance products.

    CCTV & video analytics integration

    For system integrators: RTSP/ONVIF, edge, cloud, or self-hosted.

    Accuracy & architecture

    NIST FRTE explained

    How NIST benchmarks face recognition and what the accuracy bands mean.

    How face recognition accuracy is measured

    FMR, FNMR, gallery size, and why vendor percentages are not comparable.

    Edge vs cloud face recognition

    Architecture trade-offs for CCTV and multi-site deployments.

    Answers

    Face attendance app

    Offline, GPS-tagged attendance on any Android or iOS phone.

    Offline face recognition

    How recognition works with no connectivity at all.

    Edge face recognition

    On-device inference on phones, cameras, and gateways.