How Face Recognition Attendance Works

Every user is enrolled by capturing face data from different angles and expressions. The system converts those captures into a mathematical template instead of storing plain image data for matching.

This template is used for future recognition, helping the platform identify a person quickly and consistently.

At check-in time, the camera captures a live frame and extracts facial features. The matching engine compares those features with enrolled templates and calculates similarity scores.

If the score crosses the configured threshold and liveness checks pass, attendance is marked with timestamp, location, and device metadata.

Face attendance is more than one click. Rules for shifts, grace windows, overtime, and late arrivals are applied automatically so raw events become policy-ready records.

Admins can then view dashboards, exception reports, and export-ready summaries for payroll processing and audits.