Smile Detection with Flutter and Google ML Kit. A Simplified Introduction to Image Processing

In this article, we will build a Flutter application that is capable of detecting faces from media uploaded from the gallery of a device or directly from the camera using Google’s standalone ML Kit Face Detection API. The API leverages the power of pre-trained models hosted on Google and provides the application, the ability to identify the key features of a face, detect the expression, and get the contours of the detected faces. As the face detection is performed in real-time by the API, it can also be used to track faces in a video sequence, in a video chat, or in games that respond to the user’s expression. The application, coded in Dart, will work efficiently on Android and iOS devices.

Technical requirements

You require Android Studio or Visual Studio Code with Flutter and the Dart plugin and will need to set up the Firebase console.

The GitHub repository for this article is at https://github.com/ricardocaste/face_detection

Introduction to image processing

In this article, we shall be detecting faces in images. In the context of artificial intelligence, the action of processing an image for the purpose of extracting information…