Face Recognition and Detection in Flutter - The 2024 Guide

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Hamza Asif

4:19:23

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1 - Introduction

1 - Introduction.mp4

02:56

2 - How Face Recognition is Performed.mp4

10:49

2 - Choosing or Capturing Images in Flutter

3 - Creating a new Flutter Project and Creating Application GUI.mp4

09:31

4 - Adding Libraries and setting configurations for Android IOS.mp4

05:12

5 - Choosing Images From Gallery In Flutter.mp4

06:00

6 - Capturing Images using Camera in Flutter.mp4

03:02

7 - Image Picker Overview.mp4

03:23

3 - Face Detection With Images in Flutter

8 - Section Introduction.mp4

04:10

9 - Setting up face detection recognition flutter project.mp4

04:18

10 - What we have done so far.mp4

04:56

11 - Adding Face Detection Library in Flutter.mp4

03:47

12 - Setup for IOS in Flutter.mp4

04:11

13 - Setup for Android in Flutter.mp4

02:01

14 - Performing Face Detection In Flutter With images.mp4

11:39

15 - Drawing rectangles around detected faces.mp4

08:58

16 - Face Detector Painter class.mp4

04:35

4 - Face Recognition With Images In Flutter

17 - Cropping detected faces in Flutter.mp4

09:44

18 - Adding face recognition models libraries in Flutter.mp4

05:56

19 - Passing faces to face recognition model and getting face embedding.mp4

05:45

20 - Registering faces in Flutter Application.mp4

06:34

21 - Face Registration Dialogue in Flutter.mp4

02:24

22 - Performing Face Recognition in Flutter.mp4

08:34

23 - Drawing recognitions on screens with faces in Flutter.mp4

09:30

24 - Validating Recognitions in Flutter.mp4

06:23

5 - Using Tensorflow Lite Models in Flutter for Face Recognition

25 - Loading Tensorflow lite models in Flutter.mp4

04:33

26 - Passing Input to the models and getting the outputs.mp4

08:26

6 - Storing Registered Faces In Database

27 - Creating database and loading data.mp4

06:01

28 - Registering new faces in database in Flutter.mp4

01:44

29 - Comparing face embeddings and getting recognitions.mp4

05:25

30 - Using FaceNet model in Flutter.mp4

04:49

7 - Displaying Live Camera Footage In Flutter

31 - Creating a new Flutter project and adding libraries.mp4

06:58

32 - Displaying Live Camera Footage in Flutter.mp4

09:14

33 - Live Feed Application Demo.mp4

00:46

34 - Camera Package Overview.mp4

01:26

8 - Realtime Face Detection In Flutter

35 - Section Introduction.mp4

03:03

36 - Setting up the flutter project.mp4

03:13

37 - What we have done so far.mp4

05:50

38 - Getting frames of live amera footage in Flutter.mp4

05:44

39 - Switching camera directions in Flutter.mp4

02:41

40 - Performing face detection in Flutter with live camera footage.mp4

05:25

41 - Drawing rectangles around detected faces in realtime.mp4

06:22

42 - Face Detector Painter.mp4

07:11

9 - Realtime Face Recognition In Flutter

43 - Cropping detected faces from frames of live camera footage in Flutter.mp4

04:17

44 - Loading face recognition models in Flutter.mp4

03:10

45 - Registering faces in Realtime Face Recognition application.mp4

04:36

46 - Performing face recognition in Flutter with live camera footage.mp4

08:23

47 - Validating recognition of tflite models in Futter.mp4

01:02

48 - Realtime face recognition flutter application overview.mp4

04:46

Description

Face Recognition in Flutter with Images and Videos, Build Security and Attendance Systems in Flutter for Android and IOS

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

Who is this for?

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

What You Need to Know?

You should have Android Studio Installed On Your System

More details

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:
Â Â - Learn to register faces through image scans or live camera footage in Flutter.
Â Â - Capture and store faces along with user-assigned names in a database in Flutter.

2. Face Recognition:
Â Â - Dive into the process of recognizing registered faces in flutter.
Â Â - 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!
Who this course is for:
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

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Experienced Mobile Developer, specialized in Mobile Machine Learning using Tensorflow lite, ML Kit, and Google cloud vision API. Leading Android Machine learning instructor with over 50,000 students from 150 countries. I am an enthusiastic developer with a strong programming background and possess great app development skills. I have developed a bunch of native and cross-platform apps in the past and satisfied all of my clients. It has been +4 years doing Mobile development and providing support for Android Applications. Empowering mobile Applications using Machine Learning and Computer vision is my core skill.Powering Android Application with ML really fascinates me. So I learned Android development and then Machine Learning. I developed Android applications for several multinational organizations. Now I want to spread the knowledge I have. I'm always thinking about how to make difficult concepts easy to understand, what kind of projects would make a fun tutorial, and how I can help you succeed through my courses.

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