mnc_identifier_face

Package Overview

Package selection guidance compiled from public package information, community data, and project usage.

MNC Identifier Face is a Flutter plugin designed for face liveness detection, enabling developers to verify if a face captured via camera is from a live person rather than a photo or video spoof. Built for Android and iOS, it leverages machine learning and computer vision techniques to detect facial movements and depth cues. The plugin integrates seamlessly into Flutter apps, supporting real-time analysis during identity verification workflows. It is ideal for secure authentication systems in finance, healthcare, and government services. The source code is publicly available on GitHub for transparency and customization.

Use cases

Identity verification in banking apps
Secure login with biometric checks
Preventing fraud in digital onboarding
Real-time liveness detection in mobile apps
Compliance with KYC regulations

Key features

Real-time face liveness detection
Support for Android and iOS platforms
Integration with Flutter via pub.dev
Uses advanced computer vision algorithms
Open-source implementation on GitHub

Suitable for

Developers building secure authentication systems
Mobile app teams requiring fraud prevention
Applications needing compliance with identity verification standards
Teams working on digital onboarding processes
Projects involving facial recognition and anti-spoofing

Considerations

Requires camera access and permissions
Performance may vary on older devices
Depends on device hardware capabilities
May need calibration for different lighting conditions
Privacy considerations for facial data handling

Original README

Original README snapshot from the linked source repository. Visit the repository for the latest content.

Flutter package for liveness detection using mlkit face recognition to detect live person present at the point of capture.

Installation

Android

This plugin requires Android SDK 21 or higher.

iOS

This plugin requires iOS 11.0 or higher.

Add this code to your Info.plist

    <key>NSPhotoLibraryUsageDescription</key>               
	<string>(Reason to use Photo Library)</string> 
	<key>NSCameraUsageDescription</key> <!-- added this for camera permission -->
	<string>(Reason to use camera access)</string>

Usage

import 'package:mnc_identifier_face/mnc_identifier_face.dart';
import 'package:mnc_identifier_face/model/liveness_detection_result_model.dart';

...

 Future<void> startDetection() async {
    try {
      LivenessDetectionResult livenessResult =
                      await MncIdentifierFace().startLivenessDetection();
      debugPrint("result is $livenessResult");
    } catch (e) {
      debugPrint('Something goes unexpected with error is $e');
    }
  }

Bugs or Contributing

If you encounter any problems feel free to open an issue. If you feel the library is missing a feature, please raise a ticket. Pull request are also welcome.

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