Face Recognition in Flutter – Build Smart Apps in Flutter
Face Recognition in Flutter – Build Smart Apps in Flutter, available at $84.99, has an average rating of 3.55, with 61 lectures, based on 58 reviews, and has 257 subscribers.
You will learn about Use of Face Recognition models with images and live camera footage Build Face Recognition based Security & Attendance Systems Build Face Recognition Based Flutter Application 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 This course is ideal for individuals who are Beginner Flutter Developers want to Build Face Recognition 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 based smart Applications It is particularly useful for Beginner Flutter Developers want to Build Face Recognition 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 based smart Applications.
Enroll now: Face Recognition in Flutter – Build Smart Apps in Flutter
Summary
Title: Face Recognition in Flutter – Build Smart Apps in Flutter
Price: $84.99
Average Rating: 3.55
Number of Lectures: 61
Number of Published Lectures: 48
Number of Curriculum Items: 61
Number of Published Curriculum Objects: 48
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Use of Face Recognition models with images and live camera footage
- Build Face Recognition based Security & Attendance Systems
- Build Face Recognition Based Flutter Application 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
Who Should Attend
- Beginner Flutter Developers want to Build Face Recognition 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 based smart Applications
Target Audiences
- Beginner Flutter Developers want to Build Face Recognition 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 based smart Applications
Hello, and welcome to this exciting course.
In this course, you will learn to integrate Face Recognition Models in Flutterapps with both
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Images
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Live Camera Footage
Face recognition is the process of identifying people using their faces, and in today’s world, it is being used for countless purposes. Like
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Security agencies use it to identify and track criminals.
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Companies use it to monitor their employees
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Educational institutes use it for marking attendance
and so on.
So in this course, you will learn to integrate different face recognition models in Flutter App Development to build smart and powerful applications for both Android & IOS.
Course Curriculum
We will start by learning the basics that how a face recognition model works. So in a face recognition system, there are mainly two parts
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Face Registration
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Face Recognition
Face Registration
So in face registration, we register the faces so that we can recognize them later. So just like the face unlock feature of your mobile phone firstly we need to register faces so that we can recognize them later. So in this part, we ask the user to scan the face using either images or live camera footage. Once the scan is completed we ask the user to assign a name to that face and we will store that face along with that name in the database.
Face Recognition
And in the face recognition part, we recognize those registered faces. So in this part, once the user scans his face we compare that face with our registered faces using face recognition models. And where the difference between two faces is minimum we consider that registered face as our recognition.
Choosing or Capturing Images in Flutter
After that, we will learn to
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Choose Images from Gallery in Flutter
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Capture Images using Camera in Flutter
And we will learn that because later we need to pass these images to our face recognition models to register and recognize faces inside our Flutter Application.
Face Recognition With Images in Flutter
In this section, we will start building our first face recognition application in Flutter. So we are going to build an application where users can
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Register faces
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Recognize faces
by using images from a gallery or camera. And in this application, we will use two different models for performing face recognition in Flutter. And those models are
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FaceNet Model
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Mobile FaceNet Model
Realtime Face Recognition
After performing face recognition with images and understanding the integration of face recognition models in Flutter we will build a real-time face recognition application in Flutter. So we will register and recognize the faces using frames of live camera footage. So we will
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Display the live camera footage in Flutter
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Get the frames of live camera footage one by one
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Pass those frames to our face recognition model
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Recognize and register the faces in realtime
Tensorflow Lite
To perform face recognition in Flutter apps 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 after completing this course
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You will be able to integrate Face Recognition models in Flutter with both Images & the live camera footage
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You can integrate Face Recognition based authentication in Flutter Applications
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You can build fully functional Face Recognition based security & attendance systems in Flutter.
So in short this course is a complete cookbook for performing face recognition in Flutter app development. So what are you waiting for? Join the course now and learn the skill which matters the most.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: How Face Recognition is Performed
Chapter 2: Choose Images from Gallery or capture Images using Camera in Flutter
Lecture 1: Setting Up a new Flutter Project and Creating Application GUI
Lecture 2: Adding the Library and setting configurations for Android & IOS
Lecture 3: Choosing Images From Gallery In Flutter
Lecture 4: Capturing Images using Camera in Flutter
Lecture 5: Overivew
Chapter 3: Face Recognition With images in Flutter
Lecture 1: Face Recognition With Images Section Introduction
Lecture 2: Setting Up Face Recognition With Images Project
Lecture 3: Choosing or Capturing Images for Performing Face Recognition in Flutter
Lecture 4: Adding face detection libraries in Flutter
Lecture 5: Setup for IOS
Lecture 6: Setup for Android
Lecture 7: Performing Face Detection In Flutter
Lecture 8: Drawing Rectangles around detected faces in Flutter
Lecture 9: Face Detector Painter in Flutter
Lecture 10: Cropping Detected Faces from Images in Flutter
Lecture 11: Adding FaceNet Model in Flutter Application
Lecture 12: Passing input to face recognition models and getting output
Lecture 13: Registering Faces In Flutter Application
Lecture 14: Face Register Dialogue of Flutter Face Recognition Application
Lecture 15: Performing Face Recognition In Flutter
Lecture 16: Showing Names of Recognized Person on Screen In Flutter
Lecture 17: Validating Recognized Faces In Flutter
Chapter 4: Tensorflow Lite in Flutter
Lecture 1: Loading FaceNet (tflite) model in Flutter
Lecture 2: Passing Input to Face Recognition Model in Flutter and Getting Output
Lecture 3: Creating database in Flutter and loading faces
Lecture 4: Registering or storing faces in database in Flutter
Lecture 5: How Recognition in Performed – Find Nearest Neighbors
Lecture 6: Using other face recognition models in Flutter
Chapter 5: Displaying Live Camera Footage in Flutter
Lecture 1: Creating new Flutter project and Adding library
Lecture 2: Displaying Live Camera Footage in Flutter
Lecture 3: Live Feed Application Demo
Lecture 4: Camera Package Overview
Chapter 6: Realtime Face Recognition in Flutter
Lecture 1: Realtime Face Recognition Section Introduction
Lecture 2: Setting Up Realtime Face Recognition Project
Lecture 3: GUI of Realtime Face Recognition Application
Lecture 4: Getting Frames of Live Camera in Flutter
Lecture 5: Switching Between Front and Back Camera in Flutter
Lecture 6: Performing Face Detection With Live Camera Footage in Flutter
Lecture 7: Drawing Rectangles around detected faces in Realtime
Lecture 8: Face Detector Painter in Flutter
Lecture 9: Cropping faces in Flutter in Realtime
Lecture 10: Adding FaceNet model & Getting Embedding in Realtime
Lecture 11: Performing Realtime Face Registration in Flutter
Lecture 12: Performing Realtime Face Recognition in Flutter
Lecture 13: Improving performance of Realtime Face Recognition Application
Lecture 14: Realtime Face Recognition Overview
Instructors
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Mobile ML Academy by Hamza Asif
ML & AI based Flutter, Android, IOS & React Native Courses
Rating Distribution
- 1 stars: 6 votes
- 2 stars: 1 votes
- 3 stars: 8 votes
- 4 stars: 14 votes
- 5 stars: 29 votes
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