APP

Finger AI

Fingerprint attendance with no scanner. Finger AI uses a phone camera to capture a contactless fingerphoto, converts it to a standard ISO 19794-2 template on the server, and identifies the person against your gallery โ€” touchless and hardware-free.

Overview

Contactless fingerphoto attendance โ€” a phone camera captures a fingertip, the server extracts an ISO 19794-2 template, and Cams matches it 1:N.

Finger AI is a Flutter Android app for contactless fingerprint (fingerphoto) attendance. The camera captures a fingertip image, which the Cams fingerprint extractor converts to an ISO/IEC 19794-2 minutiae template; the Fingerprint Match Engine then performs 1:N identification. It brings fingerprint attendance to any smartphone without a dedicated optical sensor.

APPAndroid appRESTFlutter/Dart

Built for

Organisations wanting hygienic, hardware-free fingerprint attendance on employees' own phones.

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Capabilities

What it does

Camera Capture

Capture a fingertip photo with the phone's camera โ€” no scanner needed.

ISO Extraction

The fingerphoto is converted server-side into a standard ISO 19794-2 template.

1:N Identify

The template is matched against your gallery by the Fingerprint Match Engine.

Touchless

Hygienic, contact-free fingerprint attendance for shared environments.

Features

Everything included

  • Contactless fingerphoto capture from a phone camera
  • Server-side ISO/IEC 19794-2 template extraction
  • 1:N fingerprint identification via the Cams Fingerprint Match Engine
  • Touchless and hygienic โ€” no shared sensor surface
  • Works on standard Android phones, no special hardware
  • Shows the match result with a capture-quality score

Build with Finger AI

Grab a key, read the docs, and ship. Our team helps with your first integration.

FAQ

Common questions

Does Finger AI need a fingerprint scanner?

No. It captures a contactless fingerphoto with the phone camera; the server converts it to an ISO 19794-2 template and matches it.

Is the fingerprint a standard format?

Yes. The fingerphoto is extracted into an ISO/IEC 19794-2 minutiae template, the same format used across the Cams fingerprint engine.

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