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Passive face liveness detection SDK for biometric authentication
MiniAiLive Face Liveness Detection SDK is a passive face liveness solution designed to protect biometric authentication from deepfakes and spoofing attacks. It helps confirm that a real person is in front of the camera—not a photo, video replay, or mask.
Traditional face recognition can be tricked with static images or pre-recorded videos. MiniAiLive uses passive liveness algorithms that analyze micro-signals and behavioral patterns to distinguish a live face from a fake without requiring the user to perform actions.
The SDK can be embedded into mobile apps, web platforms, and KYC flows to strengthen security for remote identity verification.
Because the check runs in passive mode, users don’t need to follow gesture prompts or complex steps. Verification is quick and unobtrusive while remaining resilient to modern attacks, including deepfakes and high-quality masks.
