FaceAISDK/FaceAISDK_iOS

iOS on_device Face Recognition 、 Liveness detection SDK 。iOS 人脸识别SDK支持ObjectC和Swift混合使用，支持iOS[15,26]

What it solves

It provides a way for iOS developers to integrate face-related security and identification features into their apps without relying on a cloud server, ensuring that sensitive biometric data is processed locally on the device.

How it works

The SDK uses on-device processing (powered by TensorFlow Lite) to perform four primary tasks: detecting faces in an image, recognizing specific individuals, verifying that a person is physically present (liveness detection), and preventing spoofing attempts (anti-spoofing).

Who it’s for

Developers building iPhone and iPad applications using Swift or Objective-C who need offline biometric authentication or face analysis capabilities.

Highlights

  • Fully Offline: All processing happens on-device, requiring no network access for core functionality.
  • Comprehensive Suite: Combines detection, recognition, liveness, and anti-spoofing in one package.
  • Broad Compatibility: Supports both Swift and Objective-C and is compatible with modern Xcode versions.

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