# FaceTagr — Edge Vision AI Platform (Full Reference)

> NIST-benchmarked sovereign face recognition platform. 99.3% accuracy. Edge-native. Offline-ready. Globally deployed across 9+ countries.

## Company Overview

FaceTagr is a deep-tech Vision AI company founded in 2017 in Chennai, India. The company builds sovereign, edge-native face recognition technology that processes biometric data entirely on-premise — no cloud dependency, no data transmission. FaceTagr's algorithms are independently validated by the U.S. National Institute of Standards and Technology (NIST FRTE), achieving 99.3% accuracy and ranking in the top 1% accuracy band.

### Key Metrics
- 99.3% NIST FRTE accuracy (1:1 verification)
- 99.7% accuracy in 1:N identification against 1.6M+ database
- 99.4% cross-age matching (12+ year photo gap)
- Top 1% global NIST rank (FNIR 0.0032 in 12M images)
- 1B+ verifications processed
- 10K+ devices deployed
- 9+ countries
- ISO 27001 certified
- SOC 2 compliant

## 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
On-device face recognition SDK for Android and iOS. Works completely offline. Supports passive liveness detection, 1:1 verification, and 1:N identification. Built for field operations, elections, utilities, and mobile workforce scenarios.

### 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:
- 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
Features anti-spoofing (passive liveness), geo-fencing, shift management, 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 commodity Android devices
- Fully offline operation
- Audit-transparent with complete verification logs

### SooperVision (Childcare Safety)
AI-powered childcare monitoring aligned with Australia's National Quality Framework (NQF):
- Real-time child safety monitoring via existing CCTV
- Automated incident detection and alerting
- Staff-to-child ratio monitoring
- Parent notification system
- Compliance reporting for NQF Quality Area 2 (Children's Health and Safety)

## Platform Architecture

FaceTagr's edge-native architecture processes all face recognition on-device:
- **Edge Processing**: AI inference runs on local hardware (NBOX, mobile devices, or edge servers)
- **Data Sovereignty**: Raw biometric data never leaves the premise
- **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)
- SOC 2 compliant (Service Organization Control)

### Regional Compliance Awareness
- **Australia**: Aligned with Australian Privacy Principles (APP), particularly APP 8 (cross-border disclosure). Edge processing ensures biometric data stays on Australian soil.
- **United States**: Architecture supports BIPA (Illinois), CCPA (California), and state-level biometric privacy laws through on-premise processing.
- **India**: Compliant with IT Act and emerging DPDP Act requirements.
- **Global**: GDPR-aware architecture — on-premise processing means no cross-border data transfer of raw biometrics.

### Privacy by Design
- All biometric processing happens on-premise
- No raw biometric data transmitted to cloud
- Automated privacy protection mechanisms
- Configurable data retention policies
- Audit logging for all biometric operations

## Trusted By
Air India, Kitopi, Cafe Coffee Day, Spandana, WFS, KPIL, OPG Power, Wabag, Hero MotoCorp, Mitsubishi, dormakaba

## Press Coverage
- 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: "Biometric Accuracy with Masks Added as Criteria for Indian Public Face Recognition System"

## 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