faceki_faceanalyze_sdk 1.0.1

Faceki Face Analyze SDK is a powerful tool that allows you to analyze faces in images for their age, gender and liveness

Faceki Face Analyze SDK for Flutter

The faceki_faceanalyze_sdk package allows Flutter web applications to easily integrate Faceki's face analysis capabilities. This package provides a simple interface to capture images from the user's camera and analyze them using Faceki's services.

Installation

To use the faceki_faceanalyze_sdk package in your Flutter project, follow these steps:

1. Add the dependency to your pubspec.yaml file:

dependencies:
  flutter:
    sdk: flutter
  faceki_faceanalyze_sdk: ^1.0.0

Run flutter pub get to install the package.

Copy the camera.js file from the package's web/js directory to your project's web/js directory. This file is necessary for the camera functionality to work.

Include the camera.js script in your project's web/index.html file:

<script src="js/camera.js"></script>

Usage

To use the Faceki Face Analyze SDK in your application, import the package and initialize the FacekiSDKConfig with your client ID and secret. Then, create the FacekiFaceAnalyzeSDK widget with the configuration:

import 'package:flutter/material.dart';
import 'package:faceki_faceanalyze_sdk/faceki_faceanalyze_sdk.dart';
import 'package:faceki_faceanalyze_sdk/src/config.dart';

void main() {
  final config = FacekiSDKConfig(
    clientId: 'YourClientID',
    clientSecret: 'YourClientSecret',
    responseCallback: (jsonString) {
      print(jsonString);
    },
  );

  runApp(MaterialApp(
    home: FacekiFaceAnalyzeSDK(config: config),
  ));
}

Debugging

To enable debug mode and receive detailed logs, set the debugMode flag to true when creating the FacekiSDKConfig:

Copy code
final config = FacekiSDKConfig(
  clientId: 'YourClientID',
  clientSecret: 'YourClientSecret',
  debugMode: true,
  responseCallback: (jsonString) {
    print(jsonString);
  },
);

Data Structure For Response

{
  "status": true,
  "code": 200,
  "message": "OK",
  "appVersion": "v3.0.0",
  "result": {
    "minAge": 25,
    "maxAge": 33,
    "gender": "Male",
    "genderConfidence": 100,
    "faceDetectionConfidence": 99.999,
    "livenessScore": 0.999
  }
}

Note

The camera.js file is required for camera access and image capture functionality. Make sure it is included in your web/index.html as described in the Installation section.