# FaceTagr - Edge Vision AI Platform (Full Reference)

> Sovereign face recognition platform. Engine tested by NIST FRTE, with up to 99.91% match accuracy. Edge-native. Offline-ready. Globally deployed across 9+ countries.

## Company Overview

FaceTagr is a deep-tech Vision AI company founded in 2018 in Chennai, India. The company builds sovereign, edge-native face recognition technology that supports on-device and on-premise recognition, with cloud or hybrid software deployment also available. FaceTagr's algorithms are independently validated by the U.S. National Institute of Standards and Technology (NIST FRTE), achieving up to 99.91% match accuracy and ranking in the top 1% band in NIST FRTE 1:N identification.

### Key Metrics
- 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
- 1B+ verifications processed
- 10K+ devices deployed
- 9+ countries
- ISO 27001 certified
- Hosted on SOC 2 Type II-certified infrastructure

## Products

### NBOX Edge Gateway
A router-sized AI gateway that connects to existing CCTV cameras via RTSP/ONVIF protocols. Transforms any commodity camera into an AI-powered vision system without rip-and-replace. Supports up to 16 camera feeds per unit. On-premise processing ensures data sovereignty.

### Mobile SDK
FaceTagr provides an edge-native face recognition SDK for native Android, native iOS, Flutter and React Native applications. It supports on-device 1:1 face verification, on-device 1:N face identification and on-device passive liveness on both Android and iOS. Both recognition modes support fully offline biometric decisions. The host application may connect later for enrollment updates, reporting or workflow synchronisation.

The SDK is designed to operate as an embedded biometric technology layer inside HRMS, Workforce Management, Payroll, Time & Attendance, workforce scheduling, employee management, field workforce, access-control and enterprise SaaS products. Customers remain inside the software company's application and brand. Up to 99.91% match accuracy in NIST FRTE testing is a recognition benchmark, not a guarantee for an attendance deployment.

SDK capability pages:
- https://facetagr.com/sdk/android-face-recognition-sdk
- https://facetagr.com/sdk/ios-face-recognition-sdk
- https://facetagr.com/sdk/offline-face-recognition-sdk
- https://facetagr.com/sdk/1-to-1-face-verification-sdk
- https://facetagr.com/sdk/1-to-n-face-recognition-sdk
- https://facetagr.com/sdk/liveness-detection-sdk
- https://facetagr.com/sdk/flutter-face-recognition-sdk
- https://facetagr.com/sdk/react-native-face-recognition-sdk
- https://facetagr.com/sdk/hrms-workforce-management

### Cloud API
RESTful APIs for face detection, verification (1:1), and identification (1:N). Includes liveness detection, face quality assessment, and demographic analysis. Available for cloud-based integrations.

### KnightAI
Real-time CCTV monitoring application with AI-powered threat detection. Features include person-of-interest alerts, weapon detection, fire/smoke detection, crowd analytics, vehicle analytics, and unattended object detection.

### FaceTagr Console
Centralized web-based management dashboard for all FaceTagr deployments. Manage devices, enrolled identities, alerts, analytics, and access control policies across distributed installations.

## Solutions

### Workforce & Attendance
Omni-channel biometric attendance system supporting multiple modes, with a NIST FRTE-tested engine (up to 99.91% match accuracy):
- Kiosk-mounted face recognition terminals
- Handheld mobile devices for field workers
- CCTV-based walkthrough attendance (no interaction needed)
- SDK embedded in existing enterprise apps
- API integration with 5+ HRMS platforms and payroll systems
Features anti-spoofing (passive liveness), geo-fencing, shift management, payroll-ready attendance sync, and buddy-punching prevention.

### Smart CCTV & Surveillance
Upgrades existing camera infrastructure into intelligent security systems:
- Real-time person-of-interest (POI) alerts with push notifications
- Watchlist and blacklist matching
- Weapon/gun detection
- Fire and smoke detection
- Crowd density analytics and occupancy counting
- Vehicle make/model/color recognition
- Unattended child/object detection
Works with any RTSP/ONVIF camera. No camera replacement needed.

### Defense & Law Enforcement
Field-ready sovereign face recognition for military and law enforcement:
- Mobile 1:N identification against watchlists on any smartphone
- Completely offline operation for field conditions
- On-premise deployment with zero external data transmission
- Border security and checkpoint verification
- Tested in real-world field conditions
NIST-benchmarked accuracy suitable for regulated and classified environments.

### Elections & Field Validation
Large-scale voter identity verification:
- Deployed across 4,000+ booths in Bihar panchayat elections
- 5M+ voters verified
- Works on Android and iOS mobiles or tablets
- Fully offline operation
- Audit-transparent with complete verification logs

## Platform Architecture

FaceTagr supports local recognition in offline mobile and NBOX deployments; cloud or hybrid software workflows are also available:
- **Edge Processing**: AI inference runs on local hardware (NBOX, mobile devices, or edge servers)
- **Data Sovereignty**: Data flows depend on deployment: specify enrolment, templates, event images and any synchronisation destination
- **Offline-First**: Full functionality without internet connectivity
- **Hardware Agnostic**: Works with any camera brand, any RTSP/ONVIF feed
- **Scalable**: From single camera to thousands of feeds across multiple sites
- **Zero Rip-and-Replace**: Upgrades existing infrastructure without hardware changes

### Vision AI Capabilities (Beyond Face Recognition)
- Threat detection (weapons, fire, smoke)
- Crowd analytics and occupancy counting
- Vehicle analytics (make, model, color, license plate)
- Demographic analysis
- Object detection and classification
- Behavioral analytics

## Compliance & Trust

### Certifications
- NIST FRTE validated (U.S. National Institute of Standards and Technology)
- ISO 27001 certified (Information Security Management)
- Hosted on SOC 2 Type II-certified infrastructure; FaceTagr is ISO 27001 certified

### Regional Compliance Awareness
- **Australia**: Aligned with Australian Privacy Principles (APP), particularly APP 8 (cross-border disclosure). Assess collection, storage, support access and any cross-border disclosure for the chosen deployment.
- **United States**: Architecture supports BIPA (Illinois), CCPA (California), and state-level biometric privacy laws through on-premise processing.
- **India**: Assess applicable IT Act and DPDP requirements for the deployment.
- **Global**: GDPR-aware architecture - on-premise processing can limit remote matching; it does not alone establish compliance.

### Privacy by Design
- Offline mobile and NBOX recognition happens locally; other deployments require a documented data flow
- Configured mobile attendance capture can avoid retaining check-in images; this is not universal for CCTV or customer-built SDK apps
- Automated privacy protection mechanisms
- Configurable data retention policies
- Audit logging for all biometric operations

## Trusted By
A selection of enterprise and government deployments across verticals (not exhaustive): Air India (India), State Election Commission Bihar (India), Kitopi (UAE), UTW (Malaysia), Cafe Coffee Day (India), Nandus (India), Spandana (India), Star Fertility (India), Dawa Life Sciences, Blue Group, Auto Express, WFS, KPIL (India), OPG Power (India), Wabag (India), Hero FinCorp (India), dormakaba

## Press Coverage
- Biometric Update (Sep 2026): "FaceTagr Offers Facial Recognition to ID Missing Nepal Flood Victims" - https://www.biometricupdate.com/202609/facetagr-offers-facial-recognition-to-id-missing-nepal-flood-victims
- The Kathmandu Post (Sep 2026): "An Algorithm Is Trying to Put Names to Nepal's Flood Dead" - https://kathmandupost.com/national/2026/09/09/an-algorithm-is-trying-to-put-names-to-nepal-s-flood-dead
- Asia News Network / The Star (Sep 2026): syndication of the Kathmandu Post report
- Times of India: "This Chennai Startup Helps Bihar Curb Bogus Voting"
- The Better India: "New Mobile App Lets Chennai Cops Scan Faces, Track Criminals"
- Biometric Update (Sep 2020): "Biometric Accuracy with Masks Added as Criteria for Indian Public Face Recognition System"

## Forensic Video Analysis (Police, Airports, Industry)
- Forensic video analysis and CCTV footage review: /nbox/forensics and /products/forensics
- Capabilities: face search across recorded footage, suspect and person-of-interest identification, movement trail reconstruction, plain-language video search, aged photo matching, timeline evidence export
- Deployment: fully offline / air-gapped on a single device, works with existing CCTV over RTSP/ONVIF, no per-camera licence

## Contact
- Website: https://facetagr.com
- Demo: https://facetagr.com/demo
- Contact Sales: https://facetagr.com/contact
- Partner Program: https://facetagr.com/partners
- LinkedIn: https://www.linkedin.com/company/facetagr

## More Pages

### Exam Candidate Verification (https://facetagr.com/answers/exam-candidate-verification)
Face verification compares the live face of a candidate at the exam centre entrance with the photo registered for that candidate. With passive liveness, it also rejects photos and screen replays. Done on a phone or tablet, it works offline, needs no special hardware and can run across hundreds of centres at once.

### Offline Face Attendance App (https://facetagr.com/answers/offline-face-attendance-app)
FaceTyck Attendance runs face matching and passive liveness on the phone or tablet itself, so the check-in decision does not need a connection. Attendance records queue on the device and sync to your HRMS and payroll when the network returns.

### Weapon Detection on Existing CCTV (https://facetagr.com/answers/weapon-detection-existing-cctv)
FaceTagr connects to existing IP cameras over RTSP or ONVIF and analyses the video for visible firearms and other weapon-like objects, then alerts security staff on the dashboard and mobile app. It runs on-premise, either on NBOX (FaceTagr's pre-configured plug-in unit) or on your own server, and can work fully offline.

### Anti-Tailgating With Face Recognition (https://facetagr.com/answers/anti-tailgating-face-recognition)
Badge readers check the card, not the person. Face recognition on a camera at the entrance checks every face that comes through, so an unrecognised person following an authorised one can trigger an alert. FaceTagr runs on existing cameras and can connect to access control through its RESTful API.

### What Is NBOX (https://facetagr.com/answers/what-is-nbox)
NBOX is FaceTagr's pre-configured hardware unit. It plugs into existing CCTV cameras and adds face recognition, people and object detection and analytics, on-premise and offline. It is one of several ways to deploy the same FaceTagr engine.

### Exam Centre Verification Capacity Calculator (https://facetagr.com/tools/exam-centre-verification-capacity-calculator)
A free browser-based calculator that estimates how many gate lanes or devices an exam centre needs to verify every candidate within a time window, using the visitor's own timings.

### Face Verification API Cost Calculator (https://facetagr.com/tools/face-api-cost-calculator)
A free calculator that estimates the monthly and first-year cost of per-call cloud face verification from the visitor's own volume and pricing, for comparison with on-device volume licensing.

### CCTV Deployment Chooser (https://facetagr.com/tools/cctv-deployment-chooser)
Four questions that suggest whether an NBOX plug-in unit, FaceTagr software on the customer's own server, or several NBOX units suit a CCTV face recognition and video analytics project.

### Tell Us What You Need (https://facetagr.com/requirements)
A requirements form where visitors pick their use cases (attendance, exams, field verification, embedding in their own app, CCTV, threat detection and analytics, footage search) and request a demo built around their requirement.


## 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)