Liveness-Detection-SDK

What is Liveness-Detection-SDK ?

The Liveness-Detection-SDK is a cutting-edge software development kit designed to detect whether an image or video stream represents a live person or a spoof attempt. It leverages advanced face recognition and anti-spoofing technologies to ensure accurate and reliable results.

Features

• High Accuracy: Detects liveness with high precision, ensuring minimal false positives or negatives.
• Real-Time Processing: Performs liveness checks in real-time, enabling seamless integration into various applications.
• Anti-Spoofing Capabilities: Detects and prevents spoofing attempts, such as printed photos, masks, or screen displays.
• Customizable: Allows developers to fine-tune settings to suit specific use cases and performance requirements.
• Cross-Platform Compatibility: Supports integration across multiple platforms and environments.

How to use Liveness-Detection-SDK ?

1. Integrate the SDK into your application using the provided APIs and documentation.
2. Capture or upload an image or video stream of the user's face.
3. Send the captured data to the SDK for processing.
4. Receive the liveness result (live or spoof) and handle accordingly in your application.

Frequently Asked Questions

What file formats does the SDK support for image input?
The SDK supports common image formats such as JPEG, PNG, and BMP.

Can the SDK work on mobile devices?
Yes, the SDK is optimized for mobile platforms and can be integrated into both iOS and Android applications.

What qualifies as a "live person" for detection?
A live person is detected if the SDK recognizes natural facial movements, reflections, and depth indicators, distinguishing it from static images or screens.