Face Recognition & Detection In Flutter - Complete Guide
Use Face Recognition in Flutter with Images & Videos, Security & Attendance Systems in Flutter for Android and IOS
Development ,Mobile Development,Google Flutter
Lectures -47
Resources -2
Duration -4 hours
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Course Description
Welcome to an exciting journey into mastering Face Recognition and Detection Models in Flutter! This comprehensive course equips you with the skills to seamlessly integrate facial recognition and detection into your Flutter apps, using both images and live camera footage.
Why Face Recognition Matters:
Face recognition technology is widely adopted across industries:
- Security agencies use it to identify and track individuals.
- Companies employ it to monitor employee activity.
- Educational institutions streamline attendance with it.
You'll learn in this course:
In this course, you'll learn to integrate various face recognition models into Flutter app development, enabling you to build intelligent applications for Android and iOS.
Course Highlights:
Fundamentals of Face Recognition
- Understand the basics of face recognition models.
- Learn the two core components of a face recognition system.
Face Recognition in Flutter
- Build a face recognition app that registers and identifies faces.
- Use two powerful models: FaceNet and Mobile FaceNet.
Image Handling in Flutter
- Learn to select images from the gallery and capture images using the camera.
- Pass these images to face recognition models for processing.
Real-time Face Recognition
- Create real-time face recognition apps using live camera footage.
- Learn to display live camera footage and process frames for instant face recognition.
TensorFlow Lite Integration
- Integrate face recognition models in Flutter using TensorFlow Lite, the best format for mobile machine learning.
Face Detection with ML Kit
- Detect faces from images or live camera frames using the ML Kit library before performing recognition.
Course Outcomes:
By the end of this course, you will be able to:
- Integrate face recognition and detection models in Flutter using images and live camera footage.
- Build authentication systems based on face recognition.
- Develop functional face recognition-based security and attendance systems in Flutter.
This course is your complete guide to mastering face recognition in Flutter app development. Don't miss out on this opportunity to enhance your skills and create intelligent apps. Enroll today and unlock the potential of face recognition in Flutter!
Goals
- 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 the Database for Registration.
- Use of Google ML Kit library in Flutter for Face Detection.
Prerequisites
- You should have Android Studio Installed On Your System.

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Face Recognition & Detection in Flutter - 2023 Guide 02:56 02:56
Choosing or Capturing Images in Flutter
5 Lectures

Face Detection With Images in Flutter
9 Lectures

Face Recognition With Images In Flutter
8 Lectures

Using Tensorflow Lite Models in Flutter for Face Recognition
2 Lectures

Storing Registered Faces In Database in Flutter
4 Lectures

Displaying Live Camera Footage In Flutter
4 Lectures

Realtime Face Detection In Flutter
8 Lectures

Realtime Face Recognition In Flutter
6 Lectures

Instructor Details

Hamza Asif
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