Perform Face Detection & Face Recognition in Android, Integrate FaceNet in Android & Build Facial Recognition System
Hello, and welcome to our new course “Face Recognition in Android, The Practical Guide”.
In this course, you will learn to integrate Face Recognition Models in Android with both
- Images
- Live Camera Footage
Face recognition is the process of identifying people using their faces, and in today’s 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 attendanceand so on.
So in this course, you will learn to integrate different face recognition models in Android to build smart and powerful applications.
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
- Face Registration
- Face Recognition
Face Registration
So in face registration, we register the faces so that we can recognize them later.
Face Recognition
And in the face recognition part, we recognize those registered faces.
Choosing or Capturing Images in Android
After that, we will learn to
- Choose Images from Gallery
- Capture Images using Camera
in Android. And we will learn that because later we need to pass these images to our face recognition models to register and recognize faces.
Face Recognition With Images
In this section, we will start building our first face recognition application in Android. 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. 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 Android we will build a real-time face recognition application in Android. So we will register and recognize the faces using frames of live camera footage. So we will
- Display the live camera footage in Android
- 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 Android 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.
