Liveness Detection

Liveness Detection verifies that the applicantion is a live person, not a spoof such as a deepfake, replay attack, or mask. It is suitable for various scenarios, including remote identity verification and others, and can significantly improve operational efficiency while enhancing customer satisfaction.

Liveness Detection supports four liveness types for different business needs:

1. SILENT
2. ACTION
3. DISTANT_NEAR
4. DISTANT_NEAR_ACTION

Note: For valid values of livenessType, please refer to Liveness Type List.

How Liveness Detection works

For applicants, Liveness Detection is quick and easy, and can be completed on both desktop and mobile devices.

The detection process consists of the following steps:

1. Introduction: The applicant is shown the upcoming steps, including key instructions and precautions.
2. Face Capture: The applicant follows on-screen prompts to complete face capture. The algorithm automatically checks that a face is present, unobstructed, and captured under adequate lighting.
3. Liveness Detection: The system analyzes the captured images to determine whether they belong to a real person, rather than a spoof such as a deepfake, replay attack, or mask.

Getting started with Liveness Detection

Liveness Detection is included in the Face step. The WebSDK is required to capture the selfie.

To use Liveness Detection:

1. Integrate the WebSDK.
2. Create a verification level and add a Face step.

Review Liveness Detection results

To review the Livenees Detection results:

1. Go to the Applicantion page and select an applicant who completed the Face step.
2. Go to the Profile page and review the result in the Liveness Detection section.