FaceLivenessDetection-iOS and FaceLivenessDetection-Android
These are ecosystem siblings, representing platform-specific implementations of the same liveness detection SDK, one for iOS and one for Android, both designed to prevent spoofing attacks in face recognition systems.
About FaceLivenessDetection-iOS
Faceplugin-ltd/FaceLivenessDetection-iOS
Liveness detection SDK iOS- iBeta level 2 certified 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats
This tool helps businesses that use facial authentication on iOS devices to prevent fraud. It takes a live video feed from a user's device and determines if the person is real or if someone is trying to bypass the system with a fake image, video, or 3D mask. This is for developers building secure iOS apps for identity verification, financial services, or access control.
About FaceLivenessDetection-Android
Faceplugin-ltd/FaceLivenessDetection-Android
Liveness detection SDK Android - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats
This tool helps secure identity verification systems by detecting fraudulent attempts to impersonate real users. When someone tries to authenticate using an Android device, it analyzes their face via the camera to determine if it's a live person or a fake. This ensures that only genuine users are granted access, protecting against various spoofing methods like photos, videos, 3D masks, and deepfakes. It's ideal for developers building secure authentication or onboarding flows for Android applications.
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