Face recognition attendance works by capturing an employee’s face at clock-in, converting it into a mathematical template, and matching it against a stored template to confirm identity in seconds. It is contactless, fast, and hard to fake.
The steps behind a face clock-in
- Enrolment: the employee scans their face once; the system stores an encrypted template, not a photo.
- Capture: at clock-in, the camera captures the face on a phone, tablet, kiosk or IP camera.
- Matching: the live capture is compared to the stored template.
- Record: a verified, time-stamped (and often geo-located) entry is logged.
Does it work with masks or in poor light?
Quality engines handle many real-world conditions, but where a face cannot be used — heavy PPE, face coverings, very low light — a good system falls back to contactless fingerprint, so attendance still works for everyone.
Is face recognition attendance accurate?
Accuracy depends on the underlying algorithm. NCheck is built on Neurotechnology’s biometric engines, and combining face with fingerprint (multi-modal) raises accuracy further and resists spoofing.
FAQ
Is my face photo stored? No — systems store an encrypted mathematical template, and on-premises deployment keeps it on your servers.
See NCheck on your own devices. NCheck is a biometric time & attendance, access control and visitor management platform that runs on phones, tablets, IP cameras or terminals — in the cloud or fully on-premises. Book a demo.
