A UAE manufacturer partnered with us for tech advisory and automation. They wanted to replace their paper-based attendance system. We automated it using SAFR-based facial scanning, computer vision, and infrared support. Employees verified on gate. Hours logged automatically. Payroll received clean data in real time.
Manufacturing floors run on shifts, and shifts run on knowing who is actually there. This UAE-based manufacturer relied on paper records to answer that question. Managers could not confirm who was on site at any given moment, admin teams spent their days processing sheets, and payroll waited on figures that were often wrong. Mistakes piled up, and so did buddy-punching.
The client approached us since they wanted to streamline attendance recording task by automating so that unnecessary spending on resources can be saved. Upon understanding the requirement and evaluating their operational pattern meticulously, we primarily advised them on the essential technologies required to completely replace the paper-based attendance recording.
And upon their agreement, we built an AI/ML-based attendance management system on SAFR. It matches live face captures against the employee database, backed by a computer vision and ML pipeline and infrared support for reliable recognition in any light. The same check opens the gates, hours flow automatically to payroll, and dashboards give managers a live view.
Managers had no way to confirm who was on site at a given moment. Absences and late arrivals only surfaced once records were collected, which turned real-time staffing decisions into guesswork.
Every attendance sheet had to be collected, checked and entered manually. The work was slow and repetitive, and it pulled admin teams away from tasks that needed their attention.
Manual entries are error-prone and deliberate manipulation. Buddy-punching and altered records are quite visible risks yet with no actionable plan to put an end.
Payroll is only as good as the attendance behind it. Inaccurate records meant corrections and rework, and salary processing ran late as a result.
We made face verification the only way to clock in. With no badge or manual entry to share or alter, buddy-punching had nothing left to exploit.
We automated the full chain, from face capture to attendance record. Admin teams stopped collecting and entering sheets by hand.
A computer vision and ML pipeline, backed by infrared support, handles motion, poor lighting and awkward angles, so recognition holds up on a busy shop floor.
We connected SAFR to the existing access infrastructure. The gate opens only after a successful face match, so attendance and entry control run as one system
Time on premises is calculated automatically and exported straight to payroll. Clean data replaced manual corrections, and salary processing no longer waits on rework.
No badges or tokens to carry, forget or lend. Employees walk in, get verified and move on.
Automated attendance cuts the manual effort and payroll leakage that paper records quietly built into every month. *Illustrative estimate only.
Hours flow from face scan to payroll automatically, so nobody collects, checks or re-enters attendance sheets manually.
Face scans confirm who is on site the moment they arrive, so managers always know who is on the floor.
Verification by face replaces badges and manual entries, which closes the door on buddy-punching and altered records.
Hours are calculated automatically and sent straight to payroll, so salary runs on clean data instead of corrections.
The same face check opens the gates, so attendance and entry control work together as one system.
