Real-Time Face Detection & Matching
Identifies employees from a live camera feed in under a second — handling crowds and multiple faces at once.
AI-powered face recognition attendance — built and supported by NUZN Infotech, New Delhi.
The Service
The system uses ONNX-based deep learning to detect and match employee faces in real time from a standard IP camera or USB webcam — employees simply walk past, the punch is recorded, and attendance syncs automatically to SalaryPay.
Unlike fingerprint systems it works with gloves and oily or wet hands — and it eliminates buddy punching, proxy attendance and muster sheet errors entirely.
It runs fully on-premises on Windows with no internet required, or cloud-connected for multi-site centralized reporting.
Capabilities
Identifies employees from a live camera feed in under a second — handling crowds and multiple faces at once.
Identification at natural walking distance — ideal for hygiene-critical and PPE/glove environments.
Photos and videos are rejected; only live, in-person faces are accepted.
Attendance flows straight into SalaryPay for salary, overtime and compliance — zero manual entry.
Multiple entry points and branches on one centralized dashboard with branch-wise reporting.
Runs fully offline on a local server, syncing to the cloud when connectivity is available.
Why NUZN
Every engagement is shaped around your exact workflows, goals and constraints — never a one-size-fits-all template.
Built on proven, enterprise-grade technology with security, backups and compliance considered from day one.
Clear KPIs are agreed up front, so every project is judged on real business outcomes, not vanity metrics.
From the first idea to always-on 24×7 support, our Delhi-based team stays with you at every step.
How We Work
We assess entry points and recommend camera placement.
10–15 seconds per employee — 100 people batch-enrolled in under 30 minutes.
Employees walk past; punches record in under a second.
Attendance flows to SalaryPay for payroll and compliance, automatically.
Inside the Service
How We Engage
A focused discovery to understand your needs, scope the work, define measurable KPIs and design the right solution.
End-to-end delivery — design, development, integration, testing and a smooth go-live, built around your workflows.
Ongoing 24×7 support, monitoring, enhancements and optimisation (AMC) so the solution keeps delivering value.
Business Impact
Physical presence is required — proxy attendance fraud ends on day one.
Automatic capture and payroll sync save HR teams 2–4 hours every day.
No scanner contact — critical for food processing, healthcare and clean rooms.
Automatic daily, weekly and monthly reports highlighting lates, early exits, overtime and absences.
From 20-person offices to 2,000-employee factories — multi-camera, multi-location, one database.
Role-based zone restrictions and instant unauthorized-entry alerts.
Where It Fits
Face Recognition System plugs straight into the tools you already run.
See all NUZN products & services →Questions
Standard USB webcams, IP cameras (RTSP) or dedicated terminals — 2MP or better is recommended.
Glasses and light coverings are handled; for surgical masks a hybrid mode falls back to ID card or PIN.
It scales from 10 to 10,000+ enrolled employees with sub-second recognition via ONNX-optimized vector search.
Natively with SalaryPay; CSV/Excel/API exports work with Tally, SAP and most third-party payroll systems.
Faces are stored as encrypted mathematical vectors — not images — that cannot be reverse-engineered; data stays on-premises unless you opt for cloud.
10–15 seconds per employee; 100 employees can be batch-enrolled in under 30 minutes.
Keep Exploring
Tell us what you need — we'll show you exactly how it works for your business.