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AI-Powered Biometric Attendance Machines for Offices & Schools

Nialabs offers advanced biometric attendance systems to simplify school and staff management and boost security for modern businesses.

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AI-Powered Biometric Attendance Machines for Offices & Schools

Security

AI-Anti Spoofing

Reports

Real-time Syncing

Our Product Lineup

Explore Our Range of Smart Terminals

From schools to smart offices, discover the perfect biometric attendance machine tailored for your specific needs.

Bus Attendance Machine with AI Face Recognition & GPS
NiaFace A100
Bus Attendance

Bus Attendance Machine with AI Face Recognition & GPS

AI-powered face recognition for secure and real-time student tracking in school buses

  • Fast & accurate recognition (0.5–2.5m range)
  • Detects multiple users with mask support
  • Supports face, QR & RFID authentication
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AI Face Recognition Attendance & Access Control System
NiaFace A90
Dynamic Face Reco

AI Face Recognition Attendance & Access Control System

AI-powered touchless attendance system for secure and fast identification

  • Visible light face recognition with high accuracy
  • Works in all lighting conditions (WDR technology)
  • Ideal for offices, schools & high-security environments
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Dynamic Face Recognition Terminal with 4G Sim
NiaFace A80
4G SIM Supported

Dynamic Face Recognition Terminal with 4G Sim

Advanced AI face recognition system for secure and real-time attendance

  • Fast recognition (0.5–2.5m) with multi-user detection
  • Mask detection with anti-spoof security
  • Supports face, QR & RFID authentication
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Dynamic Face & Fingerprint Recognition Terminal
NiaFace A70
Face + Fingerprint

Dynamic Face & Fingerprint Recognition Terminal

Dual biometric attendance system for accurate and flexible identification

  • Face & fingerprint authentication for higher reliability
  • Anti-spoof security with mask detection
  • Supports QR, RFID & cloud-based monitoring
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Dynamic Face Recognition Terminal
NiaFace A60
Face + Access Control

Dynamic Face Recognition Terminal

Smart and dependable face recognition device for daily attendance & access control

  • AI-powered, accurate identification
  • Secure authentication with anti-spoofing
  • Multiple modes: face, QR & RFID
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Face Recognition Time Attendance & Access Control System
NiaFace S50
Cloud AI Powered

Face Recognition Time Attendance & Access Control System

Smart and reliable attendance system for high-traffic environments

  • AI-based face recognition with adaptive accuracy
  • Works in all lighting conditions with live detection
  • Built-in battery for uninterrupted performance
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Face Recognition Biometric Terminal – Cloud & AI-Powered Attendance Solution
NiaFace S40
Cloud AI Powered

Face Recognition Biometric Terminal – Cloud & AI-Powered Attendance Solution

Cloud-based face recognition system for smart and remote attendance management

  • Real-time monitoring with cloud connectivity
  • Accurate recognition with infrared live detection
  • Built-in battery for uninterrupted operation
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Frequently Asked Questions

A biometric machine assigns a mark to a person in attendance based on certain physical characteristics, such as their fingerprints or face, which is a combination of qualities, none of which is either borrowable or copyable. Machines from Nialabs ensure they cannot take photo or video attempts, as they are enabled with liveness detection.
The face recognition method allows for very fast contactless authentication and would suit busy offices; meanwhile, fingerprint attendance requires you to use your fingers and would get distorted if they become dirty/wet.
Yes, the Nialabs machines do store attendance data on the devices themselves and synchronize once they are connected to the internet again.
As device models vary, capacity from hundreds of users can be extended for simple devices up to thousands for performance-oriented devices targeting enterprises.
The device integrates the necessary components to perform multi-modal authentication, liveness detection, work offline, upload data to the cloud, and connect to payroll/HR systems.
Challenges include expensive setup costs, privacy regulations around sensitive data, and sometimes faulty recognition (e.g., bad light, dirty sensor).
After the user logs in or logs out of the system. The time will be saved against their scan and computed to determine their actual working hours, late, and early timings for further processing and payroll.

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