> For the complete documentation index, see [llms.txt](https://cartoonmango-1.gitbook.io/vida-ekyc-integration/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cartoonmango-1.gitbook.io/vida-ekyc-integration/integration-methods/sdk.md).

# SDK

### Overview

The Vida Liveness Detection SDK provides a robust solution for face authentication by identifying and distinguishing between real and fake faces. This technology can prevent fraudulent access by detecting printed photos, digital screens, masks, and other spoofing attempts. The SDK uses the device's front camera to process image frames, verify the user's presence, and return the final image captured during the process.

#### Features:

* **Efficient Liveness Detection**: Quickly and accurately verify the liveness of a face using sophisticated AI models, ensuring a seamless user experience.
* **Anti-Spoofing Mechanisms**: Our SDK is designed to identify various spoofing attempts, including video replays, 3D masks, and more.
* **Easy Integration**: With just a few lines of code, you can integrate our SDK into your Android and IOS application.
* **Customisable Options**: Configure liveness detection parameters like detection timeout, minimum frame count, eye openness probability, and preview dimensions to suit your specific requirements.

### Supported Versions

| OS Type | OS Version       | CPU Architecture            | Language              |
| ------- | ---------------- | --------------------------- | --------------------- |
| Android | 23 and above     | 'armeabi-v7a' & 'arm64-v8a' | Kotlin and Java       |
| iOS     | iOS 11 and above | N/A                         | Swift and Objective-C |