What you'll learn
Use of Face Recognition & Detection Machine Learning Models in Flutter With Both Images & Videos
Build Face Recognition & Detection based Security & Attendance Systems For both Android & IOS
Build Face Recognition Based Flutter Applications without Any Paid Facial Recognition Service
Use of FaceNet and Mobile FaceNet models in Flutter
Use of Tensorflow Lite models in Flutter for Performing On-Device Face Recognition
Learn to Store Faces in Database for Registration
Use of Google ML Kit library in Flutter for Face Detection

Requirements
You should have Android Studio Installed On Your System

Description
Welcome to an exhilarating journey of mastering Face Recognition and Face Detection Models in Flutter! This comprehensive course empowers you to seamlessly integrate facial recognition & detection into your Flutter apps, harnessing the power of both images and live camera footage.Face recognition has become a pivotal technology used across various industries:- Security agencies employ it for identifying and tracking criminals.- Companies utilize it to monitor employee activities.- Educational institutions leverage it for streamlined attendance tracking.In this course, you'll acquire the skills to integrate diverse face recognition models into Flutter App Development, enabling you to create intelligent and robust applications for both Android and iOS.Course Highlights:Understanding the Basics:Embark on your journey by grasping the fundamental principles behind face recognition models. Explore the two core components of a face recognition system:1. **Face Registration:** - Learn to register faces through image scans or live camera footage. - Capture and store faces along with user-assigned names in a database.2. **Face Recognition:** - Dive into the process of recognizing registered faces. - Utilize face recognition models to compare scanned faces with registered ones.Image Handling in Flutter:Discover essential techniques for handling images in Flutter, including:- Choosing Images from Gallery in Flutter- Capturing Images using Camera in FlutterThese skills are crucial for passing images to face recognition models within your Flutter application.Face Recognition With Images in Flutter:Build your first face recognition application in Flutter, allowing users to:- Register faces- Recognize facesUtilize two distinct models for face recognition in Flutter:1. FaceNet Model2. Mobile FaceNet ModelReal-time Face Recognition:Advance to real-time face recognition applications, registering and recognizing faces using live camera footage frames. Learn to:- Display live camera footage in Flutter- Process frames one by one with face recognition models- Achieve real-time recognition and registrationTensorFlow Lite Integration:Master the integration of face recognition models in Flutter using TensorFlow Lite. Explore why TensorFlow Lite is the ideal format for implementing machine learning models in mobile applications.Face Detection:In face recognition applications before recognizing faces we need to detect faces from images or frames of live camera footage. So for detecting those faces, we are going to use the face detection model of the ML Kit library in Flutter. So in this course, you will also learn to perform face detection in flutter with both images & live camera footage.Course Outcomes:Upon completion of this course:- Integrate Face Recognition & Detection models in Flutter with both Images and live camera footage- Implement Face Recognition-based authentication in Flutter Applications- Construct fully functional Face Recognition-based security and attendance systems in FlutterIn essence, this course serves as a comprehensive guidebook for mastering face recognition in Flutter app development. Don't miss out on this opportunity to acquire a skill that truly matters. Join the course now and unlock the potential of Face Recognition in Flutter!

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 How Face Recognition is Performed

Section 2: Choosing or Capturing Images in Flutter

Lecture 3 Creating a new Flutter Project and Creating Application GUI

Lecture 4 Adding Libraries and setting configurations for Android & IOS

Lecture 5 Choosing Images From Gallery In Flutter

Lecture 6 Capturing Images using Camera in Flutter

Lecture 7 Image Picker Overview

Section 3: Face Detection With Images in Flutter

Lecture 8 Section Introduction

Lecture 9 Setting up face detection & recognition flutter project

Lecture 10 What we have done so far

Lecture 11 Adding Face Detection Library in Flutter

Lecture 12 Setup for IOS in Flutter

Lecture 13 Setup for Android in Flutter

Lecture 14 Performing Face Detection In Flutter With images

Lecture 15 Drawing rectangles around detected faces

Lecture 16 Face Detector Painter class

Section 4: Face Recognition With Images In Flutter

Lecture 17 Cropping detected faces in Flutter

Lecture 18 Adding face recognition models & libraries in Flutter

Lecture 19 Passing faces to face recognition model and getting face embedding

Lecture 20 Registering faces in Flutter Application

Lecture 21 Face Registration Dialogue in Flutter

Lecture 22 Performing Face Recognition in Flutter

Lecture 23 Drawing recognitions on screens with faces in Flutter

Lecture 24 Validating Recognitions in Flutter

Section 5: Using Tensorflow Lite Models in Flutter for Face Recognition

Lecture 25 Loading Tensorflow lite models in Flutter

Lecture 26 Passing Input to the models and getting the outputs

Section 6: Storing Registered Faces In Database

Lecture 27 Creating database and loading data

Lecture 28 Registering new faces in database in Flutter

Lecture 29 Comparing face embeddings and getting recognitions

Lecture 30 Using FaceNet model in Flutter

Section 7: Displaying Live Camera Footage In Flutter

Lecture 31 Creating a new Flutter project and adding libraries

Lecture 32 Displaying Live Camera Footage in Flutter

Lecture 33 Live Feed Application Demo

Lecture 34 Camera Package Overview

Section 8: Realtime Face Detection In Flutter

Lecture 35 Section Introduction

Lecture 36 Setting up the flutter project

Lecture 37 What we have done so far

Lecture 38 Getting frames of live amera footage in Flutter

Lecture 39 Switching camera directions in Flutter

Lecture 40 Performing face detection in Flutter with live camera footage

Lecture 41 Drawing rectangles around detected faces in realtime

Lecture 42 Face Detector Painter

Section 9: Realtime Face Recognition In Flutter

Lecture 43 Cropping detected faces from frames of live camera footage in Flutter

Lecture 44 Loading face recognition models in Flutter

Lecture 45 Registering faces in Realtime Face Recognition application

Lecture 46 Performing face recognition in Flutter with live camera footage

Lecture 47 Validating recognition of tflite models in Futter

Lecture 48 Realtime face recognition flutter application overview

Beginner Flutter Developers want to Build Face Recognition & Detection Based Flutter Applications,Intermediate Flutter App Developers who want to build complete Face Recognition System in Flutter,Expert Flutter Developers who want to increase their Skillset,Anyone who want to build Face Recognition & Detection based smart Applications

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