FaceMatch
Use cases Services API Contact KREN Admin console
Face auth live · Sonic & BLE marketing analytics coming soon

The simplest identity check,
just your face is all it takes

No cards, no passwords. Step in front of the camera and your identity is verified in under 0.3 seconds — for access, attendance, membership and anywhere identity matters.

Get started How it works
0.987 matching accuracy · under 0.3s processing · per-company data isolation
Detected 3
Identity verified
Digital identity
Sara · 0.98
Leo · 0.97
Mina · 0.99
3
3 faces at once
Multiple people at once · avg similarity 0.98
Verified
Built with InsightFaceArcFace 512DSCRFD detectionFastAPIRealtime 1:NMulti-tenant
Use Cases

Where it is used

Anywhere people come and go — one face handles access and records.

Time & attendance

Clock in with your face — no cards or fingerprints. Buddy punching is eliminated.

Schools & academies

Automatic attendance by face on arrival and departure. No queues, no cards.

Unmanned stores & study cafés

Only registered members enter by face — safe even for unmanned night operations.

Events & conferences

Verify pre-registered guests instantly at the door. No roster checks, no lines.

Fitness & membership

Only the real member gets in — no pass sharing. Self check-in, no counter staff needed.

Shared offices

Per-tenant access by face, with visit logs recorded automatically.

How it works

Up and running in 3 steps

No complex setup — just register and turn on the camera.

STEP 01

Register a face

Add a photo with a name and contact in the app, and a 512-dimensional face signature is stored securely.

STEP 02

The camera detects

Even in a crowd it picks the closest person. No button — recognition is automatic.

STEP 03

Verify & log in under 0.3s

Identity is confirmed in under 0.3s and an access/attendance log is saved. Admins see it instantly in the console.

0
Matching accuracy
0
Embedding dims
0
Avg. speed
0
Core technologies
Auth & Analytics

From authentication to offline marketing

Verify identity with a face — and measure offline visit impact with sound and BLE.

Available

Face auth

Deep-learning (InsightFace) realtime 1:N face recognition, linked with real-name identity verification (CI) for accurate identification.

Open admin console
Coming soon

Sonic campaign analytics

Inaudible sonic codes embedded in store speakers and ad audio connect ad exposure to real store visits. Measure per-campaign visit conversion with no extra hardware.

Coming soon
Coming soon

BLE dwell analytics

Low-energy Bluetooth beacons measure dwell time, repeat visits and in-store movement. Sound marks the visit; BLE draws the stay.

Coming soon

Real-user data anchored to verified identity (CI) — unique-visitor metrics free of bots and duplicates.

Developers

Integrate easily via API

Add face authentication to your app or kiosk with a single REST API call.

POST /api/detect
curl -X POST https://facematch.team1985.com/api/detect \
  -H "X-License-Key: <license key>" \
  -F file=@photo.jpg

# Response
{ "recognized": true,
  "person": { "name": "John Doe" },
  "similarity": 0.987,
  "elapsed_ms": 920 }
  • Per-company data isolation via the X-License-Key header
  • Register, 1:N match and multi-detect endpoints
  • JSON response includes similarity and latency (ms)
  • Standard HTTP from anywhere — no SDK required
View API docs →
Contact

Get in touch

We will guide you through the right setup and pricing. Leave a message and we will reply within one business day.

Send us a sales or partnership inquiry
facematch.team1985.com