Project
Smart Attendance
Face-recognition attendance at gate scale
- Real-time
- recognition at entry
- 0
- manual registers required
Introduction
An attendance system that identifies staff by face as they arrive, replacing manual registers and card-based systems that are easily shared. Built to work at gate scale, where dozens of people arrive in the same few minutes.
Project summary
Computer vision system running on-site, integrating with existing camera hardware and feeding attendance records into payroll and HR systems.
Core features
Automatic face detection and recognition at entry points. Enrolment workflow for new staff. Attendance records tied to individuals rather than cards. Reporting by shift, line or department. Integration with payroll so hours and output reconcile.
Technology used
Python-based computer vision pipeline with on-premise inference so face data never leaves the site, backed by a web dashboard for administration and reporting.
Available in
On-premise deployment with a web dashboard
Market differentiation
Runs on cameras the site already owns, keeps biometric data on-premise, and is designed for the throughput of a factory gate rather than an office door.
Reach so far
Manufacturing and garment operations where headcount reconciliation is a recurring administrative cost.
What comes next
Per-line productivity correlation, temperature and PPE checks at the same capture point, and expansion to multi-site reporting.
Business strategy
Bundling with the broader floor-vision offering so attendance, productivity and safety compliance share one camera deployment.
Conclusion
The value was never the attendance record itself. It was ending the daily reconciliation between gate logs, payroll and actual line output.
About Smart Attendance
On-premise. Biometric templates stay on site and are never transmitted to external services.
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