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Biometric attendance software
Paper registers and PIN-based attendance have one weakness: someone can check in for a colleague. Biometric attendance software closes that gap by tying each check-in to a person's face or fingerprint, then feeding the result into reports and payroll.
Theme29 builds attendance systems with face and biometric recognition. WorkZen, our HRM product, includes it in its mobile apps. Because biometric data is personal and sensitive, we treat privacy, consent and fallback options as part of the design rather than an afterthought.
The details differ between products, but most systems follow the same four steps.
Each employee registers once. The system captures a face image or fingerprint, converts it into a mathematical template and links it to their profile.
At check-in the person presents their face to a phone or terminal camera, or their finger to a scanner, and the system creates a new sample.
The new sample is compared with the stored template. If the similarity passes a set threshold, attendance is recorded for that employee.
The time-stamped event is stored and appears in attendance reports, break calculations and payroll inputs.
Employees check in with their own phone camera. It needs no dedicated hardware, so it suits distributed teams and small offices. This is the approach in WorkZen.
Wall-mounted devices are common in factories and larger offices. Connecting a specific terminal depends on the manufacturer's API or SDK, so we check what your device supports before promising an integration.
Biometric data is sensitive and regulated in many countries. A sound design stores templates rather than raw images, limits who can access them, agrees retention, and informs employees and asks for consent where the law requires it. You should confirm your local legal requirements.
No recognition system is perfect: lighting, cameras and appearance changes cause false rejections. Good systems include manual review, an alternative check-in method and an audit trail for corrections.
Check-ins are tied to the person, not to a card or code that can be shared.
Time-stamped records replace estimates and reduce disputes.
Attendance flows straight into leave balances and payroll calculations.
Managers see who is present, late or absent across teams and sites.
Staff check in from the app; HR sees a live summary.
Shift attendance linked to sales commissions, as in Karjokrom.
Check-in from wherever the work is, without a dedicated terminal.
Staff attendance with reports for administration.
Shift-based attendance, where terminal-based devices may be a better fit.
Phone-based face recognition, a dedicated terminal or both, based on how your staff work and what devices you have.
What is stored, who can see it, how long it is kept and how employees are informed and give consent.
A small team registers and checks in for a couple of weeks, so we tune thresholds and find edge cases.
Attendance rules such as late marks, half days and overtime are configured and tested.
Company-wide enrolment with a documented manual route for exceptions.
WorkZen includes attendance tracking with face and biometric recognition, plus break management and attendance reports.
Attendance connects to leave, holidays and payroll, so you do not stitch several tools together.
We explain accuracy, privacy and hardware realities before you commit.
FAQ
Employees enrol once so the system stores a template of their face or fingerprint. At each check-in the system captures a fresh sample, compares it with the stored template and records attendance if they match. The time-stamped record then feeds attendance reports and payroll.
Rules differ by country. Biometric data is treated as sensitive in many places, so employers typically need a lawful basis, clear notice and often consent, and must protect the data. We build with secure storage and access control, but you should confirm requirements with a local legal adviser.
Not for phone-based face recognition, which uses the employee's own device. Fingerprint terminals need hardware. We tell you what a chosen device supports before agreeing to integrate it.
Every recognition system has limits. Good practice includes quality checks, anti-spoofing measures suited to the risk, manual review and an audit trail. We discuss the level of assurance you need.
There should always be a fallback, such as a supervised manual check-in with approval. We design that route so nobody is excluded.
WorkZen has a live demo. See its product page for the demo and documentation links.
Projects often span more than one area. These pages cover the neighbouring services.
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From enrolment to payroll, here is what happens when an employee checks in with a face or fingerprint, and what to check about privacy, accuracy and fallbacks before you choose a system.
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