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Liveness-aware face action helpers for Flutter mobile apps using Google ML Kit Face Detection. Not an identity verification SDK.

example/example.md

Example app #

Android/iOS demo host for flutter_liveness_actions.

Not identity verification, KYC, AML, or fraud prevention — derived face-action signals only. Screenshots use a schematic face placeholder (no real biometric imagery).

Screenshots #

Privacy-first disclaimer Demo menu Real-time detection

Live challenge Audit event

Demo flows #

Demo What it shows
Real-time detection Live HUD (eye/yaw/pitch) + performance profile switching
Live camera demo Preview, oval guide, signal chips
Live challenge Guided blink / turn / hold-still via LivenessActionSession
Follow the dot Face-center target path with smooth motion + confetti finale
Randomized challenge Seeded shuffled sequence + nonce
Simulated flow Camera-free state machine (tap to advance steps)

Run #

cd example
flutter pub get
flutter run

Requires a real Android or iOS device (or simulator with camera). Grant camera permission when prompted. iOS deployment target is 15.5+ (ML Kit).

Minimal session wiring #

The example feeds ML Kit faces into the package session like this:

import 'package:flutter_liveness_actions/flutter_liveness_actions.dart';

final session = LivenessActionSession(
  sessionId: 'demo',
  enableChallenge: true,
  performanceConfig: PerformanceConfig.balanced(),
);

// After converting CameraImage → InputImage → List<Face>:
if (!session.acceptFrame(DateTime.now())) return;
session.markProcessingStarted();
final started = DateTime.now();

final frame = const MlKitFaceAdapter().fromFaces(
  faces,
  imageSize: Size(width, height),
  timestamp: DateTime.now(),
);

final snapshot = session.completeFrame(
  frame,
  DateTime.now().difference(started),
);

// Use snapshot.signal / snapshot.guidance / session.challenge

Camera → InputImage conversion lives in the host app (lib/services/camera_liveness_session.dart). The package stays UI-free and camera-agnostic.

Layout #

example/lib/
  app.dart                      # routes + Material theme
  services/camera_liveness_session.dart
  screens/                      # disclaimer, demos, audit, diagnostics
  widgets/accessible_guidance_banner.dart

More docs #

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Documentation

Documentation
API reference

Publisher

verified publisherkriuchkov.dev

Weekly Downloads

Liveness-aware face action helpers for Flutter mobile apps using Google ML Kit Face Detection. Not an identity verification SDK.

Repository (GitHub)
View/report issues
Contributing

Topics

#flutter #face-detection #google-ml-kit #liveness #onboarding

License

MIT (license)

Dependencies

equatable, flutter, google_mlkit_face_detection

More

Packages that depend on flutter_liveness_actions