Published 12/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.19 GB | Duration: 4h 54m
Perform Face Detection & Face Recognition in Android, Integrate FaceNet in Android & Build Facial Recognition System
What you’ll learn
Face Recognition in Android With Images
Face Recognition in Android with Live Camera Footage
Face Detection Android with images and videos
Use FaceNet and Mobile FaceNet models in Android
Use Tensorflow lite models in Android
Understand how Face Recognition Works
Requirements
You should have Android Studio installed in your System
Description
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 bothImagesLive Camera FootageFace 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 employeesEducational 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 CurriculumWe will start by learning the basics that how a face recognition model works. So in a face recognition system, there are mainly two partsFace RegistrationFace RecognitionFace RegistrationSo in face registration, we register the faces so that we can recognize them later. Face RecognitionAnd in the face recognition part, we recognize those registered faces.Choosing or Capturing Images in AndroidAfter that, we will learn to Choose Images from GalleryCapture Images using Camerain 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 ImagesIn 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 facesRecognize facesby using images from a gallery or camera. And in this application, we will use two different models for performing face recognition. And those models areFaceNet ModelMobile FaceNet ModelRealtime Face RecognitionAfter 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 willDisplay the live camera footage in AndroidGet the frames of live camera footage one by onePass those frames to our face recognition model Recognize and register the faces in real timeTensorflow LiteTo 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.So in short this course is a complete cookbook for performing face recognition in Android. So what are you waiting for? Join the course now and learn the skill which matters the most.
Overview
Section 1: Introduction
Lecture 1 Course Introduction
Lecture 2 How Face Recognition Works
Section 2: Choosing & Capturing Images in Android
Lecture 3 Setting Up a new Android Project and creating GUI
Lecture 4 Choosing Images From Gallery in Android
Lecture 5 One More Step
Lecture 6 Capturing Images using camera in Android
Lecture 7 Converting Images into Bitmap format in Android
Lecture 8 Section Overview
Section 3: Face Recognition With Images
Lecture 9 Section Introduction
Lecture 10 Setting Up Android Studio Project
Lecture 11 What we have done so far
Lecture 12 Configurations for Face Detection in Android
Lecture 13 Detecting Faces in Android
Lecture 14 Drawing Rectangles Around Detected Faces in Android
Lecture 15 Face Detection in Android Overview
Lecture 16 Cropping the detected Faces
Lecture 17 Tensorflow Lite Introduction
Lecture 18 What is model Quantization
Lecture 19 Loading Face Recognition Model in Android
Lecture 20 Analyzing a tflite model
Lecture 21 Passing Cropped Faces to Face Recognition Model
Lecture 22 Showing The Dialogue and Registering Faces
Lecture 23 Registering Faces Globally
Lecture 24 Face Registration Overview
Lecture 25 Recognizing Registered Faces in Android
Lecture 26 Showing Registered Faces on Screen
Lecture 27 Face Recognition Overview
Lecture 28 Using Mobile FaceNet in Android with Images
Lecture 29 How we are loading a tflite Model in Android
Lecture 30 Passing input to a tflite model and getting the output in Android
Lecture 31 Comparing Face Embeddings in Android
Section 4: RealTime Face Recognition in Android
Lecture 32 Realtime Face Recognition Section Introduction
Lecture 33 Setting up Android Project for Realtime Face Recognition
Lecture 34 Displaying Live Camera Footage In Android
Lecture 35 Getting Frames on Live Camera Footage In Android
Lecture 36 Converting Frames into Bitmap In Android
Lecture 37 Loading FaceNet Model in Android
Lecture 38 Registering Faces using Frames of Live Camera Footage in Android
Lecture 39 Recognizing Faces Using live Camera Footage in Android
Lecture 40 Showing Results on Screen In Realtime
Lecture 41 Testing Realtime Face Recognition Application
Lecture 42 Playing with certain values
Lecture 43 Realtime Face Recognition Android Overview
Lecture 44 Switching Between Camera in Android
Lecture 45 Using Mobile FaceNet Model in Android with Live Camera Footage
Beginner Android Developers want to Build Face Recognition Based Android Applications,Intermediate Android Developers who want to build complete Face Recognition System in Android,Expert Android Developers who want to increase their Skillset
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