Published 12/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: 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 perfog face recognition. And those models areFaceNet ModelMobile FaceNet ModelReal Face RecognitionAfter perfog face recognition with images and understanding the integration of face recognition models in Android we will build a real- 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 Tensorflow 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 perfog 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: Real Face Recognition in Android

Lecture 32 Real Face Recognition Section Introduction

Lecture 33 Setting up Android Project for Real 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 Real

Lecture 41 Testing Real Face Recognition Application

Lecture 42 Playing with certain values

Lecture 43 Real Face Recognition Android Overview

Lecture 44 Switching Between Camera in Android

Lecture 45 Using Mobile FaceNet Model in Android with Live Camera Footage

Bner 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

HomePage:

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