liveness_capture 0.0.7

A Flutter package for face liveness detection with configurable challenge types and auto-capture. Detect real human presence using smile, blink, and head turns.

A highly customizable Flutter package for face liveness detection with configurable challenge types and auto-capture. Detect real human presence — not a photo, video, or mask — using challenges like smile, blink, and head turns, with animated visual feedback and built-in photo capture on success.

Features

• Real-time face detection via Google ML Kit
• Configurable liveness rule set: smile, blink, look left/right, tilt up/down
• Animated dotted-circle progress indicator around the face frame
• Auto face-centering guidance
• Captures a photo after all liveness rules are passed
• Customizable colors, sizes, and UI overlays

Platform Support

Android	iOS
✅	✅

Permissions

Add the following to your platform manifests:

Android — android/app/src/main/AndroidManifest.xml:

<uses-permission android:name="android.permission.CAMERA" />

iOS — ios/Runner/Info.plist:

<key>NSCameraUsageDescription</key>
<string>This app uses the camera for liveness detection.</string>

Installation

Add to your pubspec.yaml:

dependencies:
  liveness_capture: ^0.0.1

Then run:

flutter pub get

Usage

import 'package:liveness_capture/liveness_capture.dart';

FaceDetectorScreen(
  // Called each time a liveness rule is completed
  onRulesetCompleted: (ruleset) {
    print('Completed: $ruleset');
  },
  // Called when all rules pass; provides the CameraController for capture
  onValidationDone: (controller) {
    return ElevatedButton(
      onPressed: () async {
        final photo = await controller?.takePicture();
        // handle photo
      },
      child: const Text('Capture'),
    );
  },
  // Builder for the overlay shown during liveness checks
  child: ({required state, required countdown, required hasFace}) {
    return Text(
      hasFace ? 'Hold still... $countdown' : 'Place your face in frame',
      style: const TextStyle(color: Colors.white, fontSize: 18),
    );
  },
);

Customisation

Parameter	Type	Description
ruleset	List<Rulesets>	Ordered list of liveness checks to perform
progressColor	Color	Inactive dot color
activeProgressColor	Color	Active/completed dot color
totalDots	int	Number of dots in the circle
dotRadius	double	Radius of each dot
cameraSize	Size	Size of the camera preview frame
pauseDurationInSeconds	int	Pause between ruleset steps
backgroundColor	Color?	Background color of the detector
contextPadding	EdgeInsetsGeometry?	Padding around the content

Available Rulesets

enum Rulesets { toLeft, toRight, blink, tiltUp, tiltDown, smiling, normal }

License

MIT