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Integrate Face Recognition & Detection models in Flutter with Images and live camera footage. Build Face Recognition-based attendance and security systems in Flutter. Use Tensorflow Lite Models for Face Recognition & Google ML Kit for Face Detection
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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, with 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!
Hi, I'm Hamza Asif.
I am passionate about teaching people the use of Machine Learning and AI in Android, IOS, and Flutter Applications. I have taught over 55,000 students in 170 countries worldwide.
I have extensive experience in Mobile App Development & Data Science.
My goal is to make you a great developer who can build ML & AI-powered NextGen applications.
If you are interested in Flutter App Development, I offer the following NextGen Flutter courses
Face Recognition and Detection in Flutter - The 2024 Guide
Machine Learning for Flutter - The Complete Flutter ML Guide
Build A Gallery App in Flutter With Circle To Search Feature
Train Object Detection & Image Classify models for Flutter
ChatGPT & Flutter -Build AI based Smart Apps in Flutter
Flutter & ML : Train Tensorflow Lite models for Flutter Apps
If you are interested in Android App Development using Java & Kotlin, I offer the following NextGen Android Courses
Face Recognition and Detection in Android- The 2024 Guide
Android & ML: Train Tensorflow Lite models for Android Apps
Train & Use Custom Object Detection Models in Android
ChatGPT & Android: Build Chatbots & Assistants
Machine Learning use in Android the Complete Guide
If you are interested in IOS App Development using Swift & SwiftUI, I offer the following NextGen IOS Course
IOS & ML: Train Tensorflow Lite models for IOS SwiftUI Apps
If you are interested in React Native App Development, I offer the following NextGen React Native Course
ChatGPT & React Native - Build Chatbots for Android & IOS
Machine Learning use in React Native - The Practical Guide
I look forward to seeing you in my courses.
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