Amazon Rekognition Face Liveness now returns Feedback Codes
Amazon Rekognition Face Liveness now returns Feedback Codes that help customers understand why a liveness check received a low score and how users can retry successfully.
Amazon Rekognition Face Liveness now returns feedback codes explaining why a live check scored low, helping users retry. These codes, included in the GetFaceLivenessSessionResults API response, identify conditions contributing to low scores, such as poor lighting, face obstruction, closed eyes, or low video quality. Customers can show these codes to end users, enabling targeted corrections and confident retries. Multiple feedback codes may be returned per session, allowing users to resolve all issues in one retry. This feature is especially useful for identity verification onboarding, re-authentication flows, and accessibility scenarios. The service returns a confidence score, a reference image for face matching, and session audit images via a brief guided selfie video check to confirm the person in front of the camera is a real human.
Why it matters
Amazon Rekognition Face Liveness is a critical service for verifying user authenticity in identity verification and security authentication. This update helps users identify issues and retry, improving the authentication process.