Products
Choose the way FaceTagr fits your environment: embedded inside your software, ready to use on mobiles and tablets, or connected on-premise to your existing CCTV cameras.
One recognition engine, built for different environments
Start with the device and workflow you already use. Each product has a distinct role and its own detailed page.
Face Recognition SDK
Embed FaceTagr inside your own Android or iOS application and brand. Run 1:1 verification, 1:N identification and passive liveness on the device, including fully offline biometric decisions.
- Native Android and iOS
- Flutter and React Native
- Offline 1:1 and 1:N
- On-device passive liveness
- RESTful API options
Best for: HRMS, payroll, workforce management, time and attendance, field workforce and enterprise SaaS platforms.
Runs: On-device for mobile workflows, with on-premise or cloud integration options for wider platform requirements.
FaceTyck Attendance
Deploy face attendance without building your own application. FaceTyck supports staff, field-team, group and exam attendance on Android and iOS mobiles or tablets.
- Android and iOS
- Mobile and tablet
- Offline matching
- Passive liveness
- GPS, HRMS and payroll sync
Best for: Employers, schools, examination teams, contractors, distributed workforces, HR teams and payroll operations.
Runs: The biometric decision runs on the device. Records can queue during low connectivity and sync when the host workflow reconnects.
NBOX for CCTV
Add Vision AI to the CCTV cameras you already have through RTSP or ONVIF. NBOX processes video on-premise for live monitoring or post-incident investigation without continuous cloud dependency.
- Existing CCTV cameras
- RTSP and ONVIF
- Live face and watchlist alerts
- Retail and security analytics
- Forensic video and face search
Best for: System integrators, VMS vendors, police and investigators, airports, retailers, industrial sites and security operators.
Runs: Dedicated edge hardware on the customer network, with NBOX Real-Time and NBOX Forensics deployment modes.
Specialised applications
Existing applications for focused operational workflows, built on the same NIST-benchmarked engine.
KnightAI
Automated CCTV surveillance with AI-powered alerts. Weapon detection, intrusion, POI matching, fire/smoke, and child safety - with instant mobile notifications.
Vision Forensics
On-premises forensic face recognition for campus-scale environments. Upload a probe image, search across your entire camera network retroactively, and reconstruct a subject's full movement trail - in under 60 seconds.
ExamNinja
Exam candidate identity verification powered by edge-based face recognition with passive liveness - proven at election scale across 4,000+ booths.
FaceTagr Patrol
Mobile identification for field agents. Search against watchlists and crime databases in seconds. Works offline on Android and iOS mobiles or tablets.
SvaDESH
Election-grade identity verification deployed across 4,000+ booths and 5M+ voters. Proof of platform capability at massive scale in extreme field conditions.
One platform, five ways to deploy
Phone or tablet
FaceTyck Attendance runs on Android and iOS, offline.
SDK in your own app
Add on-device face verification and liveness to your product.
Plug-in unit (NBOX)
A pre-configured unit that adds face recognition and Vision AI to your existing CCTV.
Your own server
FaceTagr software on a server you provide, for larger camera counts.
Cloud and API
A RESTful API to connect FaceTagr to your own systems.
Not sure which fits? Tell us what you need.
Tell us what you need