Face Recognition

In a nutshell: Aiii Face Recognition is a VIP face recognition check-in system for clinics and medical facilities. The moment a patient walks in, the AI instantly recognizes them and alerts their dedicated consultant — on-device processing, no upload, no retention — privacy-first, so reception never needs asking and can greet guests proactively.
Face Recognition · VIP Clinic Check-In

The moment a patient walks in, AI already knows them

No check-in required, no number calling — Aiii Face Recognition recognizes patients the instant they step through the door and notifies their dedicated consultant to greet them. On-device real-time processing, no upload, no retention — healthcare-grade privacy-first design.

No Check-In Auto-Recognition On-Device No Upload Zero Retention of Facial Data Opt-In Informed Consent
Why It Matters

Premium clinic hospitality stalls at the moment of recognition

Patient data sits in the system, but reception has no idea who just walked in — every missed moment is a service breakdown.

VIP arrives — reception doesn't know

A high-value patient walks in, and staff must wait for them to announce themselves before the VIP experience can begin. The critical first 30 seconds are lost.

Cumbersome check-in erodes experience

Paper forms, verbal check-in, repeated name confirmations — every friction point drains patient patience and damages the clinic's image.

Long waits, no proactive care

Without real-time awareness, management only discovers a patient has been waiting 30 minutes after the complaint has already been made.

Four Core Technology Highlights

Clinic awareness starts at the moment of recognition

Omni-channel integration + on-device visual recognition + privacy protection + AI natural-language filtering — together forming a complete smart clinic check-in experience.

Omni-channel digital integration

Highlight 1 | Omni-Channel Digital Integration

Phone calls and LINE official-account conversations are deeply unified at the data layer. Regardless of which channel a patient uses, the system automatically transcribes audio and applies AI semantic analysis to detect intent, syncing everything to the back end in real time so reception has a complete patient picture in a single dashboard.

On-site visual sensing and face recognition

Highlight 2 | On-Site Visual Sensing & Face Recognition

The moment a patient enters the clinic, the system instantly recognizes enrolled VIP members and pushes a notification to their dedicated consultant, enabling a no-check-in premium greeting. If an extended wait is detected, an alert fires automatically so staff can step in before the patient grows frustrated — filling every service gap.

On-device processing · Privacy-first

Highlight 3 | On-Device Processing · Privacy-First

All facial inference runs entirely on the local device — no upload, no retention of identifiable facial features. During behavioral analysis, non-enrolled individuals are pixelated in real time, so the system gains situational awareness without ever compromising patient privacy.

AI natural-language filtering

Highlight 4 | AI Natural-Language Filtering

The CRM database supports natural-language search queries. Medical staff or marketing teams simply type something like "patients who consulted but didn't convert in the past six months," and the system uses behavioral tags to build a precisely filtered list — significantly boosting re-marketing conversion rates.

Try It Yourself · Interactive Demo

On-site visual sensing, privacy-first de-identification

Faces are pixelated the instant they enter the frame. The system uses only de-identified skeleton, movement path, and object interaction data to perform emotion, trajectory, and behavior detection.

Try It · INTERACTIVE DEMO

On-Site Visual Sensing · Privacy-First De-Identification

Faces are pixelated the instant they enter the frame; the system uses only de-identified skeleton, movement path, and object interactions for emotion, trajectory, and behavior detection

Privacy-First Design: As soon as video enters the system, faces are automatically pixelated on-device — no identifiable facial features are ever exposed or transmitted. The demo below shows de-identified perception frames. You can click "Open Camera" and the system will detect your face in real time and pixelate only the face, leaving the rest of the frame clear.
On-Device Real-Time De-Identification LIVE

On-device processing only · No upload, no retention · Real-time de-identification — stops when camera is closed

Real-Time Recognition Result (De-Identified)
IdentityVIP PatientVIP
Current StatusWaiting
PrivacyFace pixelated in real time
BehaviorLong wait · Showing impatience
Full-Journey Digital Twin
  • Online Booking
  • QR Access
  • Wait Tracking
  • Consultation
  • Medical Record
Demo Privacy Notice: All scene images are illustrative mock scenarios — no real patients. The "Open Camera" feature processes video locally on your device in real time; no data is sent to any server. All processing stops when the camera is closed.
Use Cases

Here is what this product can do for your clinic

VIP No-Check-In Reception

Once a patient is enrolled in the VIP list, the system recognizes them the moment they step in and notifies reception to greet them — no announcement needed.

Long-Wait Alert

The system automatically tracks waiting time and pushes a notification when a threshold is exceeded, prompting staff to check in before a complaint arises.

Behavioral Action Detection

Recognizes patient behaviors such as picking up a health leaflet or approaching the consultation desk, triggering instant push notifications or CRM tags for precise service.

CRM Behavioral Tag Integration

On-site movement and behavioral events are automatically synced to the CRM alongside appointment and consultation records, making re-marketing lists sharper.

Privacy-First · Compliance by Design

Not just recognition — protecting every patient's privacy

In healthcare, compliance is the baseline — not a bonus. Aiii builds privacy into the core architecture from day one.

On-Device Processing

On-Device Real-Time Inference

Facial matching happens entirely on the local device — no data is transmitted to the cloud, eliminating external transmission risk.

Zero Retention

No Facial Data Retained

Once recognition is complete, no identifiable facial images or feature vectors are stored — nothing to audit, nothing to leak.

Informed Consent

Opt-In Patient Authorization

Recognition is enabled only for patients who have proactively completed the informed-consent process and enrolled their face — the standard visit flow is completely unaffected.

Compliance Foundation

ISO 27001 + Healthcare Experience

Aiii holds Information Security Management System (ISMS) certification and has a long track record of delivery in highly regulated healthcare and pharmaceutical environments — compliance is our core business.

On-Device Real-Time Inference No Upload · No Facial Data Retained Opt-In Informed Consent ISO 27001 Certified PDPA Compliant
Expected Outcomes

Make every visit feel like being truly remembered

The figures below are illustrative projected benefits. Actual results vary based on clinic workflow and deployment scope.

Sub-second
VIP Recognition Response
From patient stepping through the door to consultant receiving the alert — triggered in under a second.
Zero Rip & Replace
No System Overhaul Needed
Integrates with existing clinic management systems via API — flexible deployment, minimal disruption.
End-to-End
Privacy Protection
No facial data uploaded or retained; on-device real-time de-identification — healthcare-compliant by design.
Frequently Asked Questions

About the Face Recognition Solution

Does the face recognition system upload patient facial data to the cloud?
No. Aiii Face Recognition uses on-device real-time inference. Facial features are processed exclusively on the local device — no identifiable facial images or feature vectors are uploaded or retained, and there is no external transmission risk.
What if a patient does not consent to being photographed?
The system operates on an opt-in informed-consent basis. Only patients who have explicitly consented and completed face enrollment are recognized. Visitors who have not enrolled are never identified, and the standard visit flow is completely unaffected.
What is the recognition accuracy? Does it work in low light?
Accuracy exceeds 99% under good lighting conditions. The system uses a low-light optimization algorithm and operates reliably under typical indoor clinic lighting. In low-confidence situations it automatically falls back to manual staff confirmation to prevent misidentification.
Does the clinic need to replace its existing access-control or check-in system?
Not necessarily. Aiii Face Recognition can integrate with existing clinic management systems via API (e.g., EMR, appointment platforms), or be deployed independently as an entrance recognition module — whichever best fits your current infrastructure.
Is the system compliant with Taiwan's Personal Data Protection Act and relevant healthcare regulations?
Yes. The system is designed in compliance with Taiwan's Personal Data Protection Act (PDPA), applying data minimization, informed consent, on-device processing, and auditable operation logs. Aiii holds ISO 27001 certification and has a proven track record of compliant deployment in regulated healthcare environments.

Upgrade your clinic's hospitality from the moment of recognition

We can plan the right deployment approach based on your clinic's size and existing setup. Privacy compliance, on-device deployment, VIP recognition — let's talk.

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