Hello, and welcome to this exciting course.

In this course, you will learn to integrate Face Recognition Models in Flutter apps with both

• Images

• Live Camera Footage

Face recognition is the process of identifying people using their faces, and in todays world, it is being used for countless purposes. Like

• Security agencies use it to identify and track criminals.

• Companies use it to monitor their employees

• Educational institutes use it for marking attendance

  and so on.

So in this course, you will learn to integrate different face recognition models in Flutter App Development to build smart and powerful applications for both Android and IOS.

Course Curriculum

We will start by learning the basics that how a face recognition model works. So in a face recognition system, there are mainly two parts

1. Face Registration

2. Face Recognition

Face Registration

So in face registration, we register the faces so that we can recognize them later. So just like the face unlock feature of your mobile phone firstly we need to register faces so that we can recognize them later. So in this part, we ask the user to scan the face using either images or live camera footage. Once the scan is completed we ask the user to assign a name to that face and we will store that face along with that name in the database.

Face Recognition

And in the face recognition part, we recognize those registered faces. So in this part, once the user scans his face we compare that face with our registered faces using face recognition models. And where the difference between two faces is minimum we consider that registered face as our recognition.

Choosing or Capturing Images in Flutter

After that, we will learn to

• Choose Images from Gallery in Flutter

• Capture Images using Camera in Flutter

And we will learn that because later we need to pass these images to our face recognition models to register and recognize faces inside our Flutter Application.

Face Recognition With Images in Flutter

In this section, we will start building our first face recognition application in Flutter. So we are going to build an application where users can

• Register faces

• Recognize faces

by using images from a gallery or camera. And in this application, we will use two different models for performing face recognition in Flutter. And those models are

• FaceNet Model

• Mobile FaceNet Model

Realtime Face Recognition

After performing face recognition with images and understanding the integration of face recognition models in Flutter we will build a real time face recognition application in Flutter. So we will register and recognize the faces using frames of live camera footage. So we will

• Display the live camera footage in Flutter

• Get the frames of live camera footage one by one

• Pass those frames to our face recognition model

• Recognize and register the faces in real time

Tensorflow Lite

To perform face recognition in Flutter apps we will use the models which are in Tensorflow lite format. TensorFlow lite is the proper format for using Machine Learning models in mobile applications. So during this course, we will also learn about this library.

So after completing this course

• You will be able to integrate Face Recognition models in Flutter with both Images and the live camera footage

• You can integrate Face Recognition based authentication in Flutter Applications

• You can build fully functional Face Recognition based security and attendance systems in Flutter.

So in short this course is a complete cookbook for performing face recognition in Flutter app development. So what are you waiting for? Join the course now and learn the skill which matters the most.