# FaceTagr - Edge Vision AI Platform > Face recognition engine tested by NIST FRTE, with up to 99.91% match accuracy. Edge-native. Offline-ready. Globally deployed. FaceTagr is a NIST FRTE validated Edge Vision AI platform that delivers sovereign, on-premise face recognition across mobile, CCTV, drones, and kiosks. Founded in 2018, deployed in 9+ countries with 1B+ verifications processed and 10K+ devices in the field. ## Key Facts - NBOX is FaceTagr's pre-configured plug-in hardware unit for existing CCTV. FaceTagr can also run on a customer's own server, on Android and iOS devices, and through a cloud API. - Up to 99.91% match accuracy in NIST FRTE testing - 99.7% accuracy identifying a face in a 12-million-image gallery (NIST FRTE, 1:N) - Top 1% band in NIST FRTE 1:N identification - Edge-native: offline mobile and NBOX recognition runs locally; cloud and hybrid software options are available - Hardware-agnostic: works with any RTSP/ONVIF camera - Offline-first: full functionality without internet - 1B+ verifications, 10K+ devices, 9+ countries ## Pages - [Home](https://facetagr.com/): Sovereign edge-native face recognition platform. - [Platform](https://facetagr.com/platform): NIST FRTE-tested engine (up to 99.91% match accuracy), edge-native architecture. - [Solutions](https://facetagr.com/solutions): Workforce, surveillance, defense, elections, exams. - [Products](https://facetagr.com/products): NBOX, FaceTyck, SDK, Forensics. - [NBOX Edge Gateway](https://facetagr.com/nbox): Plug-and-play AI gateway for existing CCTV. - [FaceTyck Attendance](https://facetagr.com/facetyck): Mobile and tablet face recognition attendance for HRMS and payroll workflows, with up to 99.91% match accuracy in NIST FRTE testing. - [SDK & API](https://facetagr.com/sdk): Edge-native face recognition SDK for Android and iOS with on-device 1:1 verification, 1:N identification, passive liveness, fully offline workflows, Flutter and React Native support. - [Android Face Recognition SDK](https://facetagr.com/sdk/android-face-recognition-sdk): On-device Android 1:1 verification, 1:N identification and passive liveness, including fully offline operation. - [iOS Face Recognition SDK](https://facetagr.com/sdk/ios-face-recognition-sdk): On-device iOS 1:1 verification, 1:N identification and passive liveness, including fully offline operation. - [Offline Face Recognition SDK](https://facetagr.com/sdk/offline-face-recognition-sdk): Face recognition without continuous internet on Android and iOS. - [1:1 Face Verification SDK](https://facetagr.com/sdk/1-to-1-face-verification-sdk): Verify a live face against a claimed identity on-device. - [1:N Face Recognition SDK](https://facetagr.com/sdk/1-to-n-face-recognition-sdk): Identify a live face from an enrolled gallery on-device and offline. - [Passive Liveness Detection SDK](https://facetagr.com/sdk/liveness-detection-sdk): On-device mobile anti-spoofing for Android and iOS. - [Flutter Face Recognition SDK](https://facetagr.com/sdk/flutter-face-recognition-sdk): Embedded mobile biometrics for Flutter applications. - [React Native Face Recognition SDK](https://facetagr.com/sdk/react-native-face-recognition-sdk): Embedded mobile biometrics for React Native applications. - [HRMS and Workforce SDK](https://facetagr.com/sdk/hrms-workforce-management): Embedded biometrics for HRMS, payroll, time and attendance, and workforce products. - [Resources](https://facetagr.com/resources): Guides on edge SDK vs cloud API, Android/iOS integration, NIST accuracy, and HRMS integration. - [On-device vs cloud face recognition](https://facetagr.com/insights/on-device-vs-cloud-face-recognition): When to choose an edge SDK over a cloud face recognition API - latency, cost per verification, liveness, data residency. - [Face recognition SDK for Android and iOS](https://facetagr.com/insights/face-recognition-sdk-android-ios): Integration guide for on-device 1:1 verification, 1:N identification, passive liveness, offline operation, and framework support. - [Pricing](https://facetagr.com/pricing): Starting from ₹5 Lakhs (~$6,000 USD). - [Trust & Compliance](https://facetagr.com/trust): NIST validation, sovereign data, regional compliance. - [Company](https://facetagr.com/company): About FaceTagr / NotionTag Technologies. - [Demo](https://facetagr.com/demo): Book a live demo. - [Contact](https://facetagr.com/contact): Reach the FaceTagr team. - [Developers](https://facetagr.com/developers): API docs and integration guides. - [Integrations](https://facetagr.com/integrations): HRMS and payroll face recognition - Adrenalin, PeopleStrong, SAP SuccessFactors, PeopleHum, Zoho, plus REST API for any system. - [Adrenalin Integration](https://facetagr.com/integrations/adrenalin): Face recognition attendance for Adrenalin HRMS - NBOX, FaceTyck, SDK, REST API. - [HRMS SDK & API Integration](https://facetagr.com/integrations/hrms): Face recognition SDK & REST API for HRMS and payroll product teams - 1:1 & 1:N, cloud & edge SDKs for iOS/Android, Flutter/React Native, NBOX Edge Gateway, centralized device Console. - [CCTV & Video Analytics Integration](https://facetagr.com/integrations/cctv): Face recognition and object detection for existing CCTV via RTSP/ONVIF. Deploy on FaceTagr edge hardware (NBOX), FaceTagr cloud, or your own servers. Multi-unit device management, mobile alerts, dashboards. Global. - [Partners](https://facetagr.com/partners): Partner program. Adrenalin is FaceTagr's distribution partner; PeopleStrong, SAP SuccessFactors, PeopleHum, Zoho and other HR platforms are technical integrations, not partners. - [Press](https://facetagr.com/press): Media coverage and validations. ## Products - NBOX Edge Gateway: plug-and-play AI gateway for existing CCTV - Mobile SDK: on-device face recognition for Android/iOS - Cloud API: RESTful face detection, verification, identification - KnightAI: real-time CCTV monitoring with threat detection - FaceTagr Console: centralized management dashboard ## Solutions - Workforce & Attendance: biometric attendance, anti-spoofing, HRMS integration, payroll integration, up to 99.91% match accuracy in NIST FRTE testing - Smart CCTV & Surveillance: real-time alerts, watchlist matching, weapon detection - Defense & Law Enforcement: field-ready mobile identification, sovereign deployment - Elections & Field Validation: voter identity verification at scale ## AI Answer Pages - Offline Face Recognition: https://facetagr.com/answers/offline-face-recognition - Edge Face Recognition: https://facetagr.com/answers/edge-face-recognition - Face Recognition for Police: https://facetagr.com/answers/face-recognition-police - Face Recognition Attendance: https://facetagr.com/answers/face-recognition-attendance - Vision AI Security: https://facetagr.com/answers/vision-ai-security ## Comparisons - FaceTagr vs Azure Face API: https://facetagr.com/compare/facetagr-vs-azure - FaceTagr vs NEC: https://facetagr.com/compare/facetagr-vs-nec - FaceTagr vs IDEMIA: https://facetagr.com/compare/facetagr-vs-idemia - FaceTagr vs Open Source: https://facetagr.com/compare/facetagr-vs-open-source ## Use Cases - Elections: https://facetagr.com/use-cases/elections - Airports: https://facetagr.com/use-cases/airports - Law Enforcement: https://facetagr.com/use-cases/law-enforcement ## Insights - NIST Benchmark Explained: https://facetagr.com/insights/nist-benchmark-explained - How FaceTagr Achieves Up to 99.91% Match Accuracy: https://facetagr.com/insights/how-accuracy-works - Edge vs Cloud Face Recognition: https://facetagr.com/insights/edge-vs-cloud ## Links - Website: https://facetagr.com - Platform: https://facetagr.com/platform - Solutions: https://facetagr.com/solutions - Products: https://facetagr.com/products - Trust & Compliance: https://facetagr.com/trust - Demo: https://facetagr.com/demo - Contact: https://facetagr.com/contact - Developers: https://facetagr.com/developers - Partners: https://facetagr.com/partners - Full details: https://facetagr.com/llms-full.txt ## More pages - Workforce Attendance: https://facetagr.com/solutions/workforce - Security and Surveillance: https://facetagr.com/solutions/security - Defense and Law Enforcement: https://facetagr.com/solutions/defense - Elections and Voter Verification: https://facetagr.com/solutions/elections - Exam and Candidate Verification: https://facetagr.com/solutions/exams - NBOX Real-Time: https://facetagr.com/nbox/realtime - NBOX Forensics: https://facetagr.com/nbox/forensics - Exam Centre Verification Playbook: https://facetagr.com/resources/exam-centre-verification-playbook - How face verification stops proxy candidates: https://facetagr.com/answers/exam-candidate-verification - Offline face attendance app: https://facetagr.com/answers/offline-face-attendance-app - Proxy attendance cost calculator: https://facetagr.com/tools/proxy-attendance-cost-calculator - Weapon detection on existing CCTV: https://facetagr.com/answers/weapon-detection-existing-cctv - Anti-tailgating with face recognition: https://facetagr.com/answers/anti-tailgating-face-recognition - What is NBOX: https://facetagr.com/answers/what-is-nbox - Exam centre verification capacity calculator: https://facetagr.com/tools/exam-centre-verification-capacity-calculator - Face verification API cost calculator: https://facetagr.com/tools/face-api-cost-calculator - CCTV deployment chooser: https://facetagr.com/tools/cctv-deployment-chooser - Tell us what you need: https://facetagr.com/requirements ## Hosting, privacy and recruitment Hosting: FaceTagr uses its own NIST-benchmarked recognition and liveness engine and can run on AWS, Azure, regional clouds or customer servers. Offline mobile and NBOX recognition need no cloud matching. Privacy: Configured mobile attendance capture can avoid retaining check-in photos or video. Enrolment references, face templates and records still require protection. Customer-built SDK apps and CCTV have their own storage and sync choices. Face templates remain biometric data. Local processing is not a compliance guarantee. Recruitment: Agencies and staffing software can evaluate offline face check-in, passive liveness, client-site identity checks and records for supervisor-approved payroll and billing. No named recruitment-software integration is claimed. Regional guidance: UK, US and Australia pages cover deployment questions, not regulator approval or legal advice. FaceTagr is not a UK right-to-work digital verification service provider. - [Where Is FaceTagr Hosted? Cloud or Your Servers | FaceTagr](https://facetagr.com/answers/where-is-facetagr-hosted) - [Face Recognition Across Lighting and Populations | FaceTagr](https://facetagr.com/answers/face-recognition-different-faces-and-conditions) - [Face Recognition for UK Businesses and Staffing | FaceTagr](https://facetagr.com/uk) - [UK Biometric Attendance: ICO and Privacy Questions | FaceTagr](https://facetagr.com/answers/uk-gdpr-face-recognition-attendance) - [Offline Construction Site Attendance in the UK | FaceTagr](https://facetagr.com/answers/face-recognition-construction-site-attendance-uk) - [UK Identity Matching and Right-to-Work Boundaries | FaceTagr](https://facetagr.com/answers/face-verification-for-uk-onboarding-and-right-to-work) - [In-Person Exam Candidate Verification in the UK | FaceTagr](https://facetagr.com/answers/exam-candidate-verification-uk) - [Privacy-First Face Recognition: Data Flow and Choices | FaceTagr](https://facetagr.com/privacy-first-face-recognition) - [On-Device Face Recognition for US Employers | FaceTagr](https://facetagr.com/us) - [Face Recognition and Australian Privacy Questions | FaceTagr](https://facetagr.com/au) - [Embed Offline Face Recognition and Liveness in Your App | FaceTagr](https://facetagr.com/answers/embed-offline-face-recognition-sdk-in-your-app) - [Face Recognition on Low-Cost Phones and Tablets | FaceTagr](https://facetagr.com/answers/face-recognition-on-a-low-cost-tablet) - [Face Check-In for Recruitment and Staffing Agencies | FaceTagr](https://facetagr.com/solutions/recruitment-staffing) - [Reduce Buddy Clocking and Temporary-Staff Timesheet Disputes | FaceTagr](https://facetagr.com/answers/stop-buddy-clocking-temporary-workers) - [Add Face Check-In to Recruitment and Staffing Software | FaceTagr](https://facetagr.com/answers/add-face-check-in-to-staffing-software)