Sovereign. Edge-Native. Face Recognition.
Vision AI Platform.
The vision AI infrastructure layer for system integrators, CCTV operators, and solution builders. Deploys on-the-edge. Works offline. Camera-agnostic. Proven across 9+ countries.
Built for
System integrators & CCTV operators
Add Vision AI to any existing camera setup without rip-and-replace. Resell to your clients. White-label ready.
Security consultants & solution builders
Specify FaceTagr in your design. We handle the AI. You deliver the complete solution.
HRMS, exam platforms & identity verification providers
Embed face recognition via SDK or API. No AI team required. We're your biometric engine.
NBOX - The Core Product
One hardware-software unit that turns any camera feed into a Vision AI system.
Two variants based on your deployment need.
NBOX Real-Time
Connects to your existing CCTV via RTSP/ONVIF. Processes every frame. Alerts, watchlists, attendance - live. Self-configurable dashboards for any industry. RESTful API to push events to any downstream system.
Works fully offline and on-premise. Hardware-agnostic. Any brand camera. Install in minutes.
Starting from ₹5 Lakhs / ~$6,000 USD - including hardware - ships worldwide
NBOX Forensics
One device. No live cameras needed. Upload video files or images from any source - multiple feeds at once. Run face recognition, object detection, and natural language queries across all of it.
"Find all instances where someone in a blue shirt was near the entrance between 6pm and 9pm across all camera feeds."
Ideal for police stations, campuses, corporate security - when something happens and you need answers, not real-time.
Learn moreNBOX Scheduled Analytics
Same NBOX hardware. Processes all camera feeds overnight. Delivers footfall counts, occupancy reports, dwell time, zone heatmaps, and compliance summaries every morning. No real-time cost.
The Runtime Behind Every Deployment
NBOX is not just a hardware box. FaceTagr is a Vision AI runtime - the same NIST top-1% accuracy engine running across fixed CCTV infrastructure, Android field devices, drone footage, and Meta AI Smart Glasses. Camera-agnostic. Hardware-agnostic. Offline. The same engine powers every NBOX unit and every SDK integration.
Any IP camera
RTSP / ONVIF. Any brand, any age, any resolution.
18,000+ Android models
FaceTyck: 1:N on 1GB RAM. Tested across 18,000+ devices. Cooperative attendance.
Drone & aerial
Face recognition, people detection, object detection on drone footage.
Meta AI Glasses
Wearable hands-free field ID. Android phone as edge compute. No cloud.
Camera-agnostic. Hardware-agnostic. NIST FRTE 99.7% - top 1% accuracy band. ISO 27001. Hosted on SOC 2 compliant servers. Deployed across 9 countries.
How Face Recognition Works
Detect, align, encode, match - the full biometric pipeline in under 70 seconds. Every step runs on the edge, so raw biometric data never leaves the premise.
- →Face detection on any RTSP / ONVIF stream or mobile camera
- →Passive liveness check - no blink, no turn, no prompts
- →On-device encoding into a non-reversible face template
- →1:1 verification or 1:N identification, fully offline
Integration Products - Embed in Your Platform
For HRMS providers, exam platforms, and any product team that needs face recognition as a feature - not a project.
FaceTyck
Offline face recognition on any Android. 1:1 and 1:N. Group attendance. GPS. Passive liveness. Built-in time & attendance ecosystem. No server needed.
Face Recognition SDK & API
Edge-native SDK for Android and iOS with on-device 1:1 verification, 1:N identification, and passive liveness. Fully offline biometric workflows, Flutter and React Native support, plus a RESTful API. Volume licensing available.
Out-of-box HRMS Integrations
Why Integrators Choose FaceTagr
Camera-agnostic. Hardware-agnostic. No lock-in.
NBOX connects to any IP camera brand via RTSP or ONVIF. No proprietary hardware. No vendor tie-in. Your clients keep their existing cameras.
Works offline in extreme environments
Deployed in operating mines, highway construction corridors, and air-gapped government networks. Full functionality without internet. This is where other systems fail.
Matches 30-year-old photographs accurately
Low-resolution voter ID photos from decades ago matched reliably against present-day faces. Proven across Bihar state panchayat elections - 4,000+ booths, approximately 10,000 fraudulent attempts blocked.
Complete ecosystem - not just a plugin
Configuration console, dashboards, reports, mobile alert apps for Android and iOS, RESTful API. Your client gets a finished working system. DIY deployment - no professional services required.
Five form factors. One platform.
CCTV edge unit, Android mobile, drone, Meta AI Smart Glasses, cloud API. Switch deployment contexts without re-integrating. One engine, any environment.
Deployed and Proven
Bihar Panchayat Elections
- Problem
- Bogus voting across rural booths, with only decades-old low-quality voter ID photographs to match against.
- Deployment
- 4,000+ booths covered in a single-day statewide rollout on standard Android phones, fully offline.
- Result
- 5M+ voters verified against decades-old ID photographs at national scale.
Multi-Site Enterprise Attendance
- Problem
- Proxy attendance and disputed clock-ins across manufacturing, mining, and highway construction sites with unreliable connectivity.
- Deployment
- Mounted and handheld devices plus existing CCTV, one enrollment shared across channels, offline-first with HRMS sync.
- Result
- Attendance disputes reduced to near zero and payroll cut-offs met without manual reconciliation.
HRMS and Payroll Platform Distribution
- Problem
- HR and payroll platforms needed biometric attendance from a vendor that understood payroll and workforce realities, not just an image API.
- Deployment
- FaceTagr attendance embedded and shipped inside partner HRMS, WFM, and payroll platforms through SDK and API, on Android and iOS.
- Result
- Live production attendance inside partner platforms across aviation services, hospitality, infrastructure, and retail accounts.
Deployed at
Frequently Asked Questions
FaceTagr is not a camera product. It is a Vision AI runtime - the same NIST top-1% engine running across a CCTV edge unit, an Android phone, a drone, and Meta AI Smart Glasses in the field. Every other system in this space is cloud-dependent or hardware-locked. FaceTagr is neither. Five form factors. Nine countries. One billion verifications in production.
Investor and partnership enquiries → contact@facetagr.com