Android 16 & Face Liveness Detection – Prevent Face Spoofing

Build secure Android apps with real-time liveness & spoof detection using TensorFlow Lite — no paid APIs, fully offline
Udemy
platform
English
language
Mobile Apps
category
Mobile ML Academy by Ham
instructor
Android 16 & Face Liveness Detection – Prevent Face Spoofing
9
students
1 hour
content
Jul 2025
last update
$19.99
regular price

What you will learn

Build a real-time liveness detection (anti-spoofing) system inside an Android app

Perform offline liveness detection without using any paid APIs or SDKs

Integrate and run a TensorFlow Lite model for detecting real vs. fake faces

Detect spoof attempts like photos, videos, or masks using a free custom-trained model

Display live camera feed and recognize faces in real-time

Add liveness detection to an existing face recognition Android app

Understand how TensorFlow Lite models work in Android apps

Load and use TFLite models efficiently for on-device ML inference

Secure face-based apps like attendance, login, or verification systems

Course Gallery

Android 16 & Face Liveness Detection – Prevent Face Spoofing – Screenshot 1
Screenshot 1 – Android 16 & Face Liveness Detection – Prevent Face Spoofing
Android 16 & Face Liveness Detection – Prevent Face Spoofing – Screenshot 2
Screenshot 2 – Android 16 & Face Liveness Detection – Prevent Face Spoofing
Android 16 & Face Liveness Detection – Prevent Face Spoofing – Screenshot 3
Screenshot 3 – Android 16 & Face Liveness Detection – Prevent Face Spoofing
Android 16 & Face Liveness Detection – Prevent Face Spoofing – Screenshot 4
Screenshot 4 – Android 16 & Face Liveness Detection – Prevent Face Spoofing

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6718863
udemy ID
13/07/2025
course created date
18/07/2025
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