Face Recognition and Detection in Android- The 2024 Guide

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Hamza Asif

5:29:37

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1. Introduction

1. Face Recognition & Detection in Android- 2024 Guide.mp4

03:21

2. How Face Recognition is Performed in Android.mp4

08:01

2. Choosing or Capturing Images in Android

1.1 Course Resources.zip

1. Course Resources.mp4

02:23

2. Creating a new Android Project and Creating Application GUI.mp4

08:11

3. Choosing Images From Gallery in Android.mp4

09:55

4. One More Step.mp4

01:37

5. Capturing Images using camera in Android.mp4

11:01

6. Converting Images into Bitmap format in Android.mp4

08:10

7. Image Picker in Android Overview.mp4

02:49

3. Face Detection With Images in Android

1. Section Introduction.mp4

01:52

2.1 2FaceRecognitionWithImages.zip

2. Setting Up Android Studio Project for Face Detection.mp4

06:23

3. GUI of Face Recognition & Detection Android Application.mp4

03:38

4. Configurations for Face Detection in Android Apps Development.mp4

12:35

5. Detecting Faces in Android Applications With Images.mp4

12:20

6. Drawing Rectangles Around Detected Faces in Android.mp4

08:29

7. Performing Face Detection in Android With Images Overview.mp4

02:33

4. Face Recognition With Images In Android

1. Cropping the detected Faces in Android.mp4

09:47

2. Tensorflow Lite Introduction.mp4

04:49

3. What is model Quantization.mp4

06:40

4. Loading Face Recognition Model in Android.mp4

07:55

5. Analyzing a tflite model.mp4

03:25

6. Passing Cropped Faces to Face Recognition Model.mp4

05:04

7. Showing The Dialogue and Registering Faces.mp4

14:04

8. Registering Faces Globally in Android.mp4

04:15

9. Face Registration Overview.mp4

04:34

10. Recognizing Registered Faces in Android.mp4

13:34

11. Showing Registered Faces on Screen in Android.mp4

10:04

12. Face Recognition Overview.mp4

02:24

13. Using Mobile FaceNet in Android with Images.mp4

06:35

5. Using Tensorflow Lite Models in Android for Face Recognition

1. How we are loading a tflite Model in Android.mp4

05:23

2. Passing input to a tflite model and getting the output in Android.mp4

08:02

3. Comparing Face Embeddings in Android.mp4

02:20

6. Storing Registered Faces In Database in Android

1.1 dbhelper.zip

1. Setting Up Database For Face Recognition With Images Android Application.mp4

05:58

2. Registering Faces in DB and Getting List of Registered Faces in Android.mp4

07:59

3. Testing Face Recognition With Images Application.mp4

01:22

4. How Faces are being Registered in Database.mp4

04:08

5. Getting Registered Faces From Database.mp4

06:27

7. Realtime Face Recognition Displaying Live camera footage in Android

1. Realtime Face Recognition Section Introduction.mp4

02:01

2.1 3RealTimeFaceRecognition.zip

2. Setting up Android Project for Realtime Face Recognition.mp4

11:39

3. Displaying Live Camera Footage In Android.mp4

04:30

4. Getting Frames on Live Camera Footage In Android.mp4

05:55

5. Converting Frames into Bitmap In Android.mp4

11:19

8. Realtime Face Recognition Register and Recognize Faces in Android

1. Loading FaceNet Model in Android.mp4

09:31

2. Registering Faces using Frames of Live Camera Footage in Android.mp4

05:15

3. Recognizing Faces Using live Camera Footage in Android.mp4

05:15

4. Showing Results on Screen In Realtime.mp4

04:50

5. Testing Realtime Face Recognition Android Application.mp4

01:13

6. Playing with certain values in Android.mp4

02:34

7. Realtime Face Recognition Android Overview.mp4

03:32

8. Switching Between Camera in Android.mp4

08:33

9. Using Mobile FaceNet Model in Android with Live Camera Footage.mp4

03:01

9. Storing Registered Faces In Database in Realtime Face Recognition Android

1.1 dbhelper.zip

1. Setting Up Database For Realtime Face Recognition in Android.mp4

04:19

2. Registering Faces in DB and Getting Registered Faces In Realtime In Android.mp4

07:04

3. Testing Realtime Face Recognition Android Application.mp4

00:59

Description

Face Recognition in Android with Images and Videos, Build Security and Attendance Systems in Android | Java and Kotlin

What You'll Learn?

Use of Face Recognition models with images and live camera footage in Android
Build Face Recognition & Detection based Security & Attendance Systems In Android with both Java & Kotlin
Build Face Recognition Based Android Applications without Any Paid Facial Recognition Service
Use of FaceNet and Mobile FaceNet models in Android with both Java & Kotlin
Use of Tensorflow Lite models in Android for Performing On-Device Face Recognition
Learn to Store Faces in Database for Registration in Android with both Java & Kotlin
Use of Google ML Kit library in Android for Face Detection

Who is this for?

Beginner Android Developers want to Build Face Recognition & Detection Based Android Applications

Intermediate Android App Developers who want to build complete Face Recognition System in Android

Expert Android Developers who want to increase their Skillset

Anyone who want to build Face Recognition & Detection based smart Android Applications in Java and Kotlin

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 Android with Java and Kotlin! This comprehensive course empowers you to seamlessly integrate facial recognition & detection into your Android 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 Android App Development, enabling you to create intelligent and robust applications for Android

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 Android.
Â Â - Capture and store faces along with user-assigned names in a database in Android.

2. Face Recognition:
Â Â - Dive into the process of recognizing registered faces in android ( Java / Kotlin ).
Â Â - Utilize face recognition models to compare scanned faces with registered ones

Image Handling in Android:
Discover essential techniques for handling images in Android, including:

- Choosing Images from Gallery in Android
- Capturing Images using Camera in Android

These skills are crucial for passing images to face recognition models within your Android application.

Face Recognition With Images in Android:

Build your first face recognition application in Android, allowing users to:

- Register faces
- Recognize faces

Utilize two distinct models for face recognition in Android:

1. FaceNet Model
2. Mobile FaceNet Model

Real-time Face Recognition:

Advance to real-time face recognition Android applications, registering and recognizing faces using live camera footage frames. Learn to:

- Display live camera footage in Android ( Java / Kotlin )
- Process frames one by one with face recognition models in Android ( Java / Kotlin )
- Achieve real-time recognition and registration in Android ( Java / Kotlin )

TensorFlow Lite Integration:

Master the integration of face recognition models in Android ( Java / Kotlin ) 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 Android ( Java / Kotlin ). So in this course, you will also learn to perform face detection in Android ( Java / Kotlin ) with both images & live camera footage.

Course Outcomes:

Upon completion of this course:

- Integrate Face Recognition & Detection models in Android ( Java / Kotlin ) with both Images and live camera footage
- Implement Face Recognition-based authentication in Android ( Java / Kotlin ) Applications
- Construct fully functional Face Recognition-based security and attendance systems in Android ( Java / Kotlin )

In essence, this course serves as a comprehensive guidebook for mastering face recognition in Android 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 Android!
Who this course is for:
Beginner Android Developers want to Build Face Recognition & Detection Based Android Applications
Intermediate Android App Developers who want to build complete Face Recognition System in Android
Expert Android Developers who want to increase their Skillset
Anyone who want to build Face Recognition & Detection based smart Android Applications in Java and Kotlin

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Android Development

Hamza Asif

Instructor's Courses

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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