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Camera Attendance

Face recognition camera attendance connected to HRIS

Camera attendance is a time attendance system that uses cameras and face recognition to record employee attendance without touch. Attendance data goes straight to HRIS and payroll, so attendance recaps are no longer compiled manually from attendance machines.

Face Recognition Attendance, Camera-based Time Attendance

  • Touchless attendance
  • Hard to fake for others
  • Data flows to HRIS & payroll
  1. 01Camera at check-in point
  2. 02Face recognition
  3. 03Schedule & location check
  4. 04Attendance data
  5. 05HRIS & payroll

Business problems

Business problems we solve

Buddy punching

Cards, PINs or manual attendance can be done by a colleague on someone's behalf.

Manual attendance recaps

Data from attendance machines is pulled and compiled by hand before payroll.

Queues at clock-in time

Touch devices create queues and are less hygienic.

What we build

What we build

  • 01

    Camera check-in points

    Cameras at entrances or work areas that recognize registered employees.

  • 02

    Employee face enrollment

    Face registration with consent and photo quality control.

  • 03

    Schedule & shift rules

    Attendance is validated against schedules, shifts and work locations.

  • 04

    HRIS & payroll integration

    Attendance, lateness and overtime data are sent to the HRIS.

  • 05

    Attendance dashboard

    Daily recaps, lateness and absence per work unit.

Example applications

Example applications

  • Plants with many shifts

    Employees clock in at the gate without queuing and data feeds shift calculations directly.

  • Multi-location offices

    Attendance from several sites is collected in one HRIS.

  • Fingerprint machine replacement

    Camera check-in points are rolled out gradually alongside existing machines.

Architecture & approach

Architecture & approach

  1. 01

    Site assessment

    Assess check-in points, lighting and employee flow.

  2. 02

    Pilot

    Trial at one site to measure accuracy and speed.

  3. 03

    HRIS integration

    Connect attendance data to shift rules and payroll.

  4. 04

    Rollout & SOP

    Gradual expansion with a fallback procedure when recognition fails.

Technology & integration

Technology & integration

  • Python
  • IP cameras
  • Face recognition models
  • Edge devices
  • REST API
  • HRIS & payroll integration

Deployment

Deployment & data retention

Biometric data is treated as sensitive personal data from the design stage.

Option Description Best for
Edge + internal server Recognition on the check-in device, attendance data to internal servers.
  • Many check-in points
  • Biometric data stays in-house
Central server Camera streams are processed on the company's central server.
  • A single site with a stable network

FAQ

Frequently asked questions

Can computer vision be used for attendance?
Yes. Cameras recognize registered employees, then attendance data is validated against schedules and sent to HRIS and payroll.
What if employees wear masks or lighting is poor?
These conditions affect accuracy. We test real conditions during the pilot and prepare a fallback procedure for unrecognized cases.
Can it run alongside existing fingerprint machines?
Yes. Data from fingerprint machines and cameras can be combined in the HRIS during the transition.

Ready to discuss your requirements?

Tell us about your context and goals. We will help map the solution, priorities and an initial estimate.