How to Implement Face Recognition in Your Flutter App

Jul 10, 2022 | Programming

In this guide, we’ll take a deep dive into integrating face recognition and liveness detection features into your Flutter applications using KBY-AI’s SDK. Whether you’re developing for Android or iOS, this walkthrough will help you set everything up smoothly.

Overview

This repository demonstrates both face liveness detection and face recognition technology for Flutter on Android and iOS platforms. The integration of KBY-AI’s technology allows you to enhance your applications with improved security and user interaction.

Setting Up Your Environment

Before running the application, ensure that you have Flutter installed. The project has been tested with Flutter version 3.22.3. If you haven’t installed Flutter yet, check the detailed instructions provided in the official Flutter documentation here.

How to Run the App

  1. Open your terminal and run the following commands:
  2. flutter pub upgrade
    flutter run
  3. If you plan to run the iOS app, refer to the instructions here.

Integrating KBY-AI’s Face SDK

1. Setting Up Face SDK

  1. For Android:
    • Copy the SDK (folder libfacesdk) to the folder android in your project.
    • Add SDK to the project in settings.gradle.
    • include :libfacesdk
  2. Setting Up Face SDK Plugin:
    • Copy the folder facesdk_plugin to the root folder of your project.
    • Add the dependency in your pubspec.yaml file.
    • facesdk_plugin:
        path: .facesdk_plugin
    • Import the facesdk_plugin package.
    • import 'package:facesdk_plugin/facesdk_plugin.dart';
      import 'package:facesdk_plugin/facedetection_interface.dart';

2. API Usages

  • Activate the FacesdkPlugin:
  • final _facesdkPlugin = FacesdkPlugin();
    await _facesdkPlugin.setActivation(YOUR_ACTIVATION_KEY);
  • Initialize the FacesdkPlugin:
  • await _facesdkPlugin.init();
  • Set parameters using the setParam method:
  • await _facesdkPlugin.setParam(check_liveness_level: livenessLevel ?? 0);
  • Extract faces using the extractFaces method:
  • final faces = await _facesdkPlugin.extractFaces(image.path);
  • Calculate similarity:
  • double similarity = await _facesdkPlugin.similarityCalculation(face[templates], person.templates);

Troubleshooting Tips

If you encounter any issues during setup or implementation, consider the following:

  • Make sure your Flutter and Dart SDK versions are compatible with the KBY-AI SDK.
  • Confirm that you have set the correct paths in your pubspec.yaml file.
  • Check the console for any specific error messages while running your app, which can provide further clues.
  • If you need more assistance, feel free to check our Help Center.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

By following this guide, you can successfully implement face recognition and liveness detection functionalities in your Flutter application. This feature can enhance user experience and improve security measures significantly.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

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