Face Recognition & Detection in Android with Tensorflow Lite

Face Recognition and Face Detection in Android with Images and Videos, Build Security and Attendance Systems in Android

Created by: Mobile ML Academy by Hamza Asif
ML & AI based Flutter, Android, IOS & React Native Courses

What Will I 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

Requirements

• You should have Android Studio Installed On Your System

Target audience

• 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