Face Liveness Detection SDK
Welcome to the MiniAiLive Face Liveness Detection SDK Overview, your gateway to understanding the powerful capabilities and inner workings of our advanced biometric verification technology.
Overview
MiniAiLive Face Liveness Detection SDK is a cross-platform biometric verification solution for a digital identity verification process. The SDK enables convenient and reliable face capture on the client side (mobile, web, and desktop) and further processing on the client or server side.
A 100% spoofing-prevention rate for both 3D printed and resin facial masks, confirms MiniAiLive as a leading facial recognition solution for preventing biometric fraud in remote applications, such as online banking, requiring identity verification before granting access to sensitive data or valuable assets. Feel free to use our MiniAiLive 3D Face Passive Liveness Detection (face anti-spoofing) Windows SDK.
Key Features and Benefits
Passive Liveness Detection Advanced presentation attack detection, ensuring accurate differentiation between genuine human presence and video or image, realistic mask, 3D model spoofs.
Deepfake Detection Consistently enhance AI models with cutting-edge deepfake detection techniques, proactively identifying and mitigating emerging threats.
Leading Accuracy Optimized for digital identity verification, providing best-in-class precision with server-side liveness detection and advanced image quality SDKs for iOS and Android.
ISO 30107 Compliance Tested by our +70 Partners and by the development and security teams for hundreds of Apps and numerous State and Federal Governments.
Customizable and Extensible Adaptable to client's needs with the ability to scale and integrate additional features as required.
Live Feedback Providing real-time feedback ensures that the technology proactively minimizes errors and reduces retries caused by low-quality images, offering high accuracy and a smooth experience, even for first-time users.
Face Liveness Assessment
Is it a real human being looking at the camera? Not a mannequin or a 3D image? The Liveness verification module is created to check whether the biometric information source accessing the camera is a physically present live person.
In addition to enhancing security measures against spoofing attacks, deepfakes, and fraud, the liveness verification module offers an extra capability. By leveraging advanced AI algorithms, it can also provide an estimated age of the person with an accuracy of approximately +/-3 years.
Liveness detection can be performed in two modes: active and passive.
The active mode requires users to turn their head during the session. This guarantees highly accurate liveness detection.
The passive liveness check simply involves taking a selfie. This approach offers improved user experience, however, the accuracy of the active liveness detection result will be higher.
Whether to use passive or active liveness check is specified in the request code. Switching between the two options doesn't require any modifications on the backend meaning that on the same backend, both active and passive procedures can be performed.
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