How to Integrate Multi-Participant Video Chat with Banuba AR?

Introduction Integrating multi-participant video chat functionality with Banuba Face AR features can be challenging, especially when documentation is sparse. In this article, we will explore how to implement this integration using Dart, giving you guidance on setting up a robust solution for video chats with AR masks. Understanding the Requirements When looking to create a multi-participant video chat application, developers often face various challenges, such as connection management, video streaming, and applying AR effects. Banuba provides a powerful SDK that allows developers to implement face filters and AR functionalities easily. However, the lack of comprehensive documentation makes it necessary to piece together solutions from various sources. Setting Up Your Dart Environment Before we dive into code, make sure your development environment is ready. You need to have the Dart SDK installed, along with Flutter, if you are building a cross-platform application. Here’s how to set it up: Install Dart SDK: Download the Dart SDK from the official Dart website. Install Flutter: If you’re building with Flutter, follow the instructions on the Flutter installation page. Set Up Your Project: Create a new Flutter project by running: flutter create video_chat_app cd video_chat_app Integrating the Banuba SDK To start using the Banuba SDK, follow these steps: Add Dependencies: Include the Banuba SDK in your pubspec.yaml file. dependencies: flutter: sdk: flutter banuba_sdk: ^latest_version_here Don’t forget to run flutter pub get to fetch the dependencies. Initialize the SDK: In your main Dart file, initialize the Banuba SDK as follows: import 'package:banuba_sdk/banuba_sdk.dart'; import 'package:flutter/material.dart'; void main() { runApp(MyApp()); } class MyApp extends StatelessWidget { @override Widget build(BuildContext context) { return MaterialApp( title: 'Video Chat App', home: VideoChatScreen(), ); } } class VideoChatScreen extends StatefulWidget { @override _VideoChatScreenState createState() => _VideoChatScreenState(); } class _VideoChatScreenState extends State { BanubaSdk _banubaSdk; @override void initState() { super.initState(); _initializeBanuba(); } Future _initializeBanuba() async { _banubaSdk = await BanubaSdk.create(); await _banubaSdk.start(); } @override Widget build(BuildContext context) { return Scaffold( appBar: AppBar(title: Text('Video Chat')), body: Center(child: Text('Video Chat is ready!')), ); } } Implementing Multi-Participant Functionality You’ll need a back-end service to manage connections for multi-participant video chat. Firebase or WebRTC are popular choices for this. Below is a simplified example using WebRTC: Set Up WebRTC: Add the necessary dependencies to your pubspec.yaml for WebRTC. dependencies: flutter_webrtc: ^latest_version_here Establish Connections: Use WebRTC APIs to connect participants: // Assuming you have prepared signaling in your backend import 'package:flutter_webrtc/flutter_webrtc.dart'; // Create a peer connection RTCPeerConnection _createPeerConnection() { final Map configuration = { 'iceServers': [ {'url': 'stun:stun.l.google.com:19302'} ] }; return await createPeerConnection(configuration); } Video Streams: Handle video streams for each participant. Adding AR Filters with Banuba After establishing connections, you can apply AR effects using the Banuba SDK with just a few lines of code: void _applyFilter(String filterName) { _banubaSdk.setFilter(filterName); } You can call this method when you want to apply a specific AR mask. Conclusion Integrating multi-participant video chat with Banuba Face AR features in Dart offers developers an exciting opportunity to create engaging applications. While documentation scarcity is an issue, utilizing community resources and code examples allows you to piece together a viable solution. Whether you choose to use Banuba or look at alternative AR video services, understanding the fundamental concepts around WebRTC and SDK integration is crucial in this modern development landscape. Frequently Asked Questions (FAQ) 1. Is Banuba suitable for all platforms? Yes, Banuba SDK supports both iOS and Android platforms effectively. 2. Can I use other AR services? Absolutely! There are several options like Agora and Twilio for video calls that support AR features. 3. What if I encounter issues with Banuba SDK? You can reach out to Banuba’s support or community forums for assistance.

May 7, 2025 - 16:18

How to Integrate Multi-Participant Video Chat with Banuba AR?

Introduction

Integrating multi-participant video chat functionality with Banuba Face AR features can be challenging, especially when documentation is sparse. In this article, we will explore how to implement this integration using Dart, giving you guidance on setting up a robust solution for video chats with AR masks.

Understanding the Requirements

When looking to create a multi-participant video chat application, developers often face various challenges, such as connection management, video streaming, and applying AR effects. Banuba provides a powerful SDK that allows developers to implement face filters and AR functionalities easily. However, the lack of comprehensive documentation makes it necessary to piece together solutions from various sources.

Setting Up Your Dart Environment

Before we dive into code, make sure your development environment is ready. You need to have the Dart SDK installed, along with Flutter, if you are building a cross-platform application. Here’s how to set it up:

Install Dart SDK: Download the Dart SDK from the official Dart website.
Install Flutter: If you’re building with Flutter, follow the instructions on the Flutter installation page.
Set Up Your Project: Create a new Flutter project by running:
```
flutter create video_chat_app
cd video_chat_app
```

Integrating the Banuba SDK

To start using the Banuba SDK, follow these steps:

Add Dependencies: Include the Banuba SDK in your pubspec.yaml file.
```
dependencies:
  flutter:
    sdk: flutter
  banuba_sdk: ^latest_version_here
```
Don’t forget to run flutter pub get to fetch the dependencies.

Initialize the SDK: In your main Dart file, initialize the Banuba SDK as follows:

import 'package:banuba_sdk/banuba_sdk.dart';
import 'package:flutter/material.dart';

void main() {
  runApp(MyApp());
}

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Video Chat App',
      home: VideoChatScreen(),
    );
  }
}

class VideoChatScreen extends StatefulWidget {
  @override
  _VideoChatScreenState createState() => _VideoChatScreenState();
}

class _VideoChatScreenState extends State {
  BanubaSdk _banubaSdk;

  @override
  void initState() {
    super.initState();
    _initializeBanuba();
  }

  Future _initializeBanuba() async {
    _banubaSdk = await BanubaSdk.create();
    await _banubaSdk.start();
  }

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(title: Text('Video Chat')), 
      body: Center(child: Text('Video Chat is ready!')), 
    );
  }
}

Implementing Multi-Participant Functionality

You’ll need a back-end service to manage connections for multi-participant video chat. Firebase or WebRTC are popular choices for this. Below is a simplified example using WebRTC:

Set Up WebRTC: Add the necessary dependencies to your pubspec.yaml for WebRTC.
```
dependencies:
  flutter_webrtc: ^latest_version_here
```

Establish Connections: Use WebRTC APIs to connect participants:

// Assuming you have prepared signaling in your backend
import 'package:flutter_webrtc/flutter_webrtc.dart';

// Create a peer connection
RTCPeerConnection _createPeerConnection() {
  final Map configuration = {
    'iceServers': [
      {'url': 'stun:stun.l.google.com:19302'}
    ]
  };
  return await createPeerConnection(configuration);
}

Video Streams: Handle video streams for each participant.

Adding AR Filters with Banuba

After establishing connections, you can apply AR effects using the Banuba SDK with just a few lines of code:

void _applyFilter(String filterName) {
  _banubaSdk.setFilter(filterName);
}

You can call this method when you want to apply a specific AR mask.

Conclusion

Integrating multi-participant video chat with Banuba Face AR features in Dart offers developers an exciting opportunity to create engaging applications. While documentation scarcity is an issue, utilizing community resources and code examples allows you to piece together a viable solution. Whether you choose to use Banuba or look at alternative AR video services, understanding the fundamental concepts around WebRTC and SDK integration is crucial in this modern development landscape.