| File Name: | Build Liveness Detection in Android – Prevent Face Spoofing |
| Content Source: | https://www.udemy.com/course/build-liveness-detection-in-android-prevent-face-spoofing |
| Genre / Category: | Other Tutorials |
| File Size : | 619.6 MB |
| Publisher: | Hamza Asif |
| Updated and Published: | July 14, 2025 |
In this hands-on course, you’ll learn how to build a real-time liveness detection system (also called spoof detection) directly inside an Android app — without using any paid APIs or cloud services.
Liveness detection helps confirm that the face in front of the camera is a real, live person — not just a photo, video, or mask. It’s a powerful feature used in banking apps, secure logins, KYC systems, and more.
What Makes This Course Special?
You’ll start by importing a complete real-time face recognition Android app (code provided in the course).
- New students: Everything is explained from scratch, including how the app works.
- Returning students: If you’ve taken my face recognition course, you can skip directly to the liveness detection section to enhance your existing app.
Then, you’ll learn to integrate a custom-trained TensorFlow Lite model that performs real-time spoof detection — and yes, the model is included in the course for free!
Who this course is for:
- App creators looking for a free and offline alternative to paid liveness detection APIs
- Students or professionals working on face-based login, attendance, or verification apps
- Developers creating apps for banking, eKYC, secure access, or identity verification
- Android developers who want to secure their apps with liveness (anti-spoofing) detection
- Anyone interested in mobile machine learning and using TensorFlow Lite in Android apps
DOWNLOAD LINK: Build Liveness Detection in Android – Prevent Face Spoofing
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