Face Recognition Attendance — From the Phone, Not a Kiosk
The biometric power of face recognition without the queue at a shared kiosk. Each staff member uses their own phone; face matching runs server-side; anti-spoofing built in; PDPL-compliant by default.
No kiosks · PDPL-compliant · Anti-spoofing · Human-in-the-loop · Free up to 25 staff
Face recognition was the right idea. The kiosk was the wrong delivery.
Face recognition is the correct biometric for attendance — identity-of-person rather than identity-of-finger, no shared touch surface, no hardware wear. The misstep most UAE deployments made was attaching the camera to a fixed kiosk at a single gate. That recreates the queue, recreates the hardware overhead, and adds a single point of failure on the day you don't want one. Aiya runs the same face recognition server-side, with each staff member capturing the selfie on their own phone. The biometric stays; the kiosk goes.
Server-side face matching
Live selfie at check-in is matched against the enrolled photo inside our own infrastructure. Not sent to third-party AI providers.
Paired with GPS verification
The face match confirms the person; GPS confirms the location. Both are recorded per check-in.
Anti-spoofing built in
Liveness checks reject printed-photo and screen-replay attempts. Impossible-GPS-speed and device-change signals are flagged.
Anomaly detection
The model learns each operation's rhythm; sudden swings in check-in time, location, or device surface for human review.
Human-in-the-loop
AI surfaces low-confidence matches for human confirmation. No black-box decision rejects a worker without a person looking.
Encrypted at rest + in transit
Industry-standard encryption. Role-based access. Biometric data never leaves our infrastructure for third-party processing.
Configurable retention
Biometric records auto-delete after a window your organisation sets. Audit history is kept separately, without the biometric image.
PDPL by design
Explicit consent on first use, encrypted storage, data-subject rights through the staff app. Aligned with UAE Federal Decree-Law No. 45 of 2021.
The face recognition flow, end to end
Enrol once
Staff member photographed in good light during onboarding. The encrypted face geometry is stored; consent is captured and timestamped.
Check in from any zone
Open the app at the work location, take a live selfie, confirm. Face + GPS verification runs in seconds.
Audit recorded
Match confidence, location, device, and time are recorded against the staff record with role-based access.
Anomalies surface
Out-of-zone, low-confidence, or unusual events surface for human review — never silently accepted or silently rejected.
Records auto-delete
Biometric data auto-deletes after the configured retention window. Audit metadata is retained.
Built around UAE compliance, not adapted to it
UAE PDPL biometric handling
Facial geometry is treated as biometric data: explicit consent on first use, encrypted at rest, processed in a UAE-aligned regional data centre, configurable retention.
No third-party AI providers see biometric data
Face matching runs inside our own infrastructure. Staff photos are never sent to external AI vendors.
Anti-spoofing
Liveness checks reject printed-photo and screen-replay attempts. Combined with GPS + device fingerprint, the system is harder to fool than a fingerprint reader.
Human-in-the-loop on edge cases
Low-confidence matches surface for human confirmation. No automated rejection of a worker without a manager looking.
Frequently asked questions
Is face recognition the same as facial scanning at a kiosk?▾
How accurate is the match?▾
Where is the biometric data stored?▾
What about printed-photo spoofing?▾
Is there a free tier?▾
Explore further
See face recognition without the kiosk
20-minute demo. We will enrol a face on a phone, run a live check-in, and walk through the PDPL retention flow.