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AI-Powered Biometric Attendance Machines for Offices & Schools

Nialabs offers advanced biometric attendance Machines 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

Biometric Attendance Machine Technology

The all-inclusive and powerful Nialabs biometric attendance Machines offer AI-based facial recognition along with the most reliable fingerprint scanner in a single solution for your schools, offices, and industries across India. Our attendance devices facilitate contactless, speedy punching, synchronous real-time data syncing to the cloud, and built-in anti-spoofing functions — helping organisations collect 100% accurate attendance records without the hassle of manual registers or unreliable card-swiping devices. Whether you're managing attendance for a team across several office branches, tracking a large student body, or controlling access to a factory site, we have a device suited for you.

Our Product Lineup

Explore Our Range of Biometric Attendance Machines

A full suite of AI-driven Nialabs terminals, covering a wide variety of scales and use cases.

Industry Applications

Why Organizations Choose a Biometric Attendance Machine

For Schools

Nialabs biometric attendance machines help remove proxy attendance, keep precise digital records for NEP 2020 & UDISE+ reports, and provide parents with an exact update on their child's check-in on time. In NiaFace A100, such attendance machines for school buses monitor the students when boarding and disembarking.

For Offices

For offices, face-recognition biometrics eliminates traditional registers & buddy punching in favour of a quick & contactless attendance-tracking system. Ensure seamless integration with your existing HRMS and payroll providers such as greytHR, Keka, Drawinbox & Zoho People; reduce the admin work; and maintain an audit-proof record of employee attendance.

For Factories

Nialabs machines help factories and industries operate across multiple shifts with large manpower. Track check-in & check-out across multiple access points. Maintain correct records as required for EPF/ESIC compliance. The environment works under high traffic demands and can sustain that workload.

Step-by-Step

How Nialab's Attendance Machine Works

Upon authentication by an employee or student via any of the device-facilitated methods, the Nialabs platform matches the person against the secured database through the liveness detection feature to rule out potential photos or video spoofing, recording attendance in real time.

01

Authentication

An employee or student authenticates via any device-facilitated method — face recognition, fingerprint, QR code, or RFID card.

02

Liveness Detection

The Nialabs platform matches the person against the secured database through the liveness detection feature to rule out potential photos or video spoofing.

03

Real-Time Recording

Attendance is recorded in real time, instantly syncing to the cloud dashboard for HR and parents' notifications and payroll processing.

04

Offline Backup

If offline, device data is held locally until reconnected to the network, and then it is automatically uploaded and synchronized with the dashboard.

Our Track Record

Why Nialabs

We manage more than a million attendance punches each day across 3000+ Indian clients, deploying 5,500+ biometric devices & running 750+ school bus machines throughout India. We offer DPDP Act 2023-compliant solutions fully on every device with a combination of AI-based face recognition, multi-modal authentication & anti-spoofing features for every employee/student backed by our network of 250+ partners. We at Nialabs have been doing this for the last 4 years, serving all sizes of enterprises, schools & office locations.

DPDP Act 2023 Compliant AI-Based Anti-Spoofing Multi-Modal Authentication
1M+
Attendance Punches Daily
3000+
Indian Clients
5,500+
Biometric Devices Deployed
750+
School Bus Machines
250+
Partner Network
4 Years
Of Experience

Frequently Asked Questions

It verifies a person's features, such as the face or the fingerprint, that a person can neither easily duplicate nor borrow. To detect photographs and videos as fake, Nialabs biometric devices include the facility of liveness detection.
Face recognition can provide instant, contactless validation for employees at a busy office, while fingerprints provide access by touch and might be obscured by soiled or damp hands.
Yes, the attendance data of all devices from Nialabs will be stored internally on the machine and will be synchronized when the internet connectivity is restored.
Depending on the model of the machine, it supports a range of a few hundred users to several thousand users, which are suitable for different enterprise uses.
Look for systems that have multi-modal identification, liveness detection, offline memory, and cloud synchronisation, and that can connect with your HR and payroll management software.
The main problems are that they involve considerable upfront setup costs, concerns over data security, and issues such as an inability to scan, often in areas with low lighting and sensors needing frequent cleaning.
Login and logout are recorded for a set of users. This data can then be used to log working hours, early finishes, and late arrivals for payroll.

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