Face Recognition in Android - Build Smart Android Apps

Hello, and welcome to our new course "Face Recognition in Android, The 2023 Practical Guide".

In this course, you will learn to integrate Face Recognition Models in Android apps 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 attendance

  and so on.

So in this course, you will learn to integrate different face recognition models in Android App Development 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

1. Face Registration

2. 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 in Android

• 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 in android.

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. In this application, we will use two different models for performing face recognition in Android App Development. 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 in Android. So we will

• Display the live camera footage in Android

• Get the frames of live camera footage one by one in Android

• Pass those frames to our face recognition model in Android

• Recognize and register the faces in real-time in Android

Face Detection in Android

For performing face recognition we first need to detect faces present in images and frames of live camera footage in Android. So apart from face recognition, the course will teach you to perform face detection in Android with both images and live camera footage.

Tensorflow Lite

To perform face recognition in Android 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 & face detection models in Android app development with both Images & live camera footage

• You can integrate Face Recognition based authentication in existing Android Applications

• You can build fully functional Face Recognition based security & attendance systems in Android.

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