Face Recognition Detection in Flutter The 2024 Guide

Face Recognition & Detection in Flutter – The 2024 Guide, available at $19.99, has an average rating of 4.39, with 56 lectures, based on 88 reviews, and has 425 subscribers.

You will learn about Use of Face Recognition & Face Detection Models in Flutter With Both Images & Videos Build Face Recognition & Detection based Security & Attendance Systems In Flutter 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 in Flutter Use of Google ML Kit library in Flutter for Face Detection This course is ideal for individuals who are Beginner Flutter Developers want to Build Face Recognition & Detection Based Flutter Applications or Intermediate Flutter App Developers who want to build complete Face Recognition System in Flutter or Expert Flutter Developers who want to increase their Skillset or Anyone who want to build Face Recognition & Detection based smart Flutter Applications for Android & IOS It is particularly useful for Beginner Flutter Developers want to Build Face Recognition & Detection Based Flutter Applications or Intermediate Flutter App Developers who want to build complete Face Recognition System in Flutter or Expert Flutter Developers who want to increase their Skillset or Anyone who want to build Face Recognition & Detection based smart Flutter Applications for Android & IOS.

Enroll now: Face Recognition & Detection in Flutter – The 2024 Guide

Summary

Title: Face Recognition & Detection in Flutter – The 2024 Guide

Price: $19.99

Average Rating: 4.39

Number of Lectures: 56

Number of Published Lectures: 56

Number of Curriculum Items: 56

Number of Published Curriculum Objects: 56

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Use of Face Recognition & Face Detection Models in Flutter With Both Images & Videos

Build Face Recognition & Detection based Security & Attendance Systems In Flutter 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 in Flutter

Use of Google ML Kit library in Flutter for Face Detection

Who Should Attend

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 Flutter Applications for Android & IOS

Target Audiences

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 Flutter Applications for Android & IOS

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 in Flutter.

   – Capture and store faces along with user-assigned names in a database in Flutter.

2. **Face Recognition:**

   – Dive into the process of recognizing registered faces in flutter.

   – Utilize face recognition models to compare scanned faces with registered ones in flutter.

Image Handling in Flutter:

Discover essential techniques for handling images in Flutter, including:

– Choosing Images from Gallery in Flutter

– Capturing Images using Camera in Flutter

These 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 faces

Utilize two distinct models for face recognition in Flutter:

1. FaceNet Model

2. Mobile FaceNet Model

Real-time Face Recognition:

Advance to real-time face recognition flutter 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 in Flutter

– Achieve real-time recognition and registration in Flutter

TensorFlow 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 Flutter

In 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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Face Recognition & Detection in Flutter – 2024 Guide

Lecture 2: How Face Recognition is Performed in Flutter

Chapter 2: Setup for MacOS

Lecture 1: Install the Flutter SDK

Lecture 2: Install Android Studio

Lecture 3: Install and Setup XCode

Lecture 4: Creating A Flutter Project and Installing in IOS Simulator

Lecture 5: Install the Android Emulator

Chapter 3: Setup for Windows

Lecture 1: Installing Flutter on Windows

Lecture 2: Installing Android Studio

Lecture 3: Creating Android Virtual Device

Chapter 4: Choosing or Capturing Images in Flutter

Lecture 1: Creating a new Flutter Project and Creating Application GUI

Lecture 2: Adding Libraries and setting configurations for Android & IOS in Flutter

Lecture 3: Choosing Images From Gallery In Flutter

Lecture 4: Capturing Images using Camera in Flutter

Lecture 5: Image Picker Flutter Overview

Chapter 5: Face Detection With Images in Flutter

Lecture 1: Section Introduction

Lecture 2: Setting up face detection & recognition flutter project

Lecture 3: What we have done so far in Flutter

Lecture 4: Adding Face Detection Library in Flutter

Lecture 5: Setup for IOS in Flutter

Lecture 6: Setup for Android in Flutter

Lecture 7: Performing Face Detection In Flutter With images

Lecture 8: Drawing rectangles around detected faces in Flutter

Lecture 9: Flutter Face Detector Painter class

Chapter 6: Face Recognition With Images In Flutter

Lecture 1: Cropping detected faces in Flutter

Lecture 2: Adding face recognition models & libraries in Flutter

Lecture 3: Passing faces to face recognition model and getting face embedding in Flutter

Lecture 4: Registering faces in Flutter Application

Lecture 5: Face Registration Dialogue in Flutter

Lecture 6: Performing Face Recognition in Flutter

Lecture 7: Drawing recognitions on screens with faces in Flutter

Lecture 8: Validating Recognitions in Flutter

Chapter 7: Using Tensorflow Lite Models in Flutter for Face Recognition

Lecture 1: Loading Tensorflow lite models in Flutter

Lecture 2: Passing Input to the tflite models and getting the outputs in Flutter

Chapter 8: Storing Registered Faces In Database in Flutter

Lecture 1: Creating database and loading data in Flutter

Lecture 2: Registering new faces in database in Flutter

Lecture 3: Comparing face embeddings and getting recognitions in Flutter

Lecture 4: Using FaceNet model in Flutter

Chapter 9: Displaying Live Camera Footage In Flutter

Lecture 1: Creating a new Flutter project and adding libraries

Lecture 2: Displaying Live Camera Footage in Flutter

Lecture 3: Live Feed Flutter Application Demo

Lecture 4: Camera Package Flutter Overview

Chapter 10: Realtime Face Detection In Flutter

Lecture 1: Realtime Face Detection In Flutter

Lecture 2: Setting up the flutter project for realtime face recognition application

Lecture 3: What we have done so far in Flutter

Lecture 4: Getting frames of live camera footage in Flutter

Lecture 5: Switching camera directions in Flutter

Lecture 6: Performing face detection in Flutter with live camera footage

Lecture 7: Drawing rectangles around detected faces in realtime in Flutter

Lecture 8: Flutter Face Detector Painter

Chapter 11: Realtime Face Recognition In Flutter

Lecture 1: Cropping detected faces from frames of live camera footage in Flutter

Lecture 2: Loading face recognition models in Flutter

Lecture 3: Registering faces in Realtime Face Recognition Flutter application

Lecture 4: Performing face recognition in Flutter with live camera footage

Lecture 5: Validating recognition of tflite models in Futter

Lecture 6: Realtime face recognition flutter application overview

Instructors

Mobile ML Academy by Hamza Asif
ML & AI based Flutter, Android, IOS & React Native Courses

Rating Distribution

1 stars: 2 votes

2 stars: 0 votes

3 stars: 7 votes

4 stars: 35 votes

5 stars: 44 votes

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