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Integrating google_mlkit_face_detection in Your Flutter App

Ayesha Iftikhar
8 min readSep 10, 2024

In the world of mobile app development, incorporating advanced features like face detection can significantly enhance the user experience. Google’s ML Kit provides a powerful and easy-to-use face detection API that can be seamlessly integrated into your Flutter app. In this article, we’ll walk through the steps to integrate google_mlkit_face_detection into your Flutter application, making it capable of detecting faces in real-time.

Prerequisites

Before diving into the integration process, ensure you have the following:

  1. Flutter SDK installed on your machine.
  2. A Flutter project set up. If you don’t have one, create a new project using flutter create <project_name>.
  3. Basic understanding of Dart and Flutter widgets.

Step 1: Add Dependencies

First, you need to add the google_mlkit_face_detection package to your pubspec.yaml file. This package provides the necessary tools for face detection.

dependencies:
flutter:
sdk: flutter
google_mlkit_face_detection: latest
camera: latest

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Ayesha Iftikhar
Ayesha Iftikhar

Written by Ayesha Iftikhar

I am professional software engineer with experience of around 4 years in Mobile Application Development using Flutter and overall 5 years of experience in IT.

Responses (2)

What are your thoughts?

I really appreciate that work thank you so much

Thank you for this insightful article however i have a question about this. If I'm using some AI model let's say age or gender detection and i'm doing face detection and sending the facial frames to the model and getting the result, it will impact the app performance. How will you deal with this?