As digital transformation efforts have accelerated over the last year, developers require modern API tooling to build digital applications and services.
Face Liveness API determines whether the selfie your users shoot is actually live, whether it was clicked in the best way to save in your records, whether several faces were detected in the picture, and what portion of the picture each face takes up. A face recognition system uses complex algorithms to highlight a person’s facial traits in order to identify them.
Face liveness detection helps you uncover frauds by ensuring that the image you have been provided isn’t a picture of a picture, a passport-sized image, or an image of another individual on a cell phone/laptop screen.
Face recognition technology detects face features in any image or video using biometric authentication methods. To identify the face, the picture is compared to the official documentation your clients have given. To assure authenticity, it incorporates a variety of AI-powered methods, including liveness recognition, depth mapping, skin texture analysis, and 3D sensing. The use of AI algorithms in face verification has increased the software’s effectiveness.
The most frequent applications using Zyla Face Liveness Detection:
-Fraud detection: By making sure that the image you have been given isn’t a picture of a photograph, a passport-sized image, or an image of another person on a cell phone/laptop screen, face liveness detection helps you expose fraud.
-Verify the image’s properties: Identify any images that don’t adhere to your specifications. In order to prevent your users from uploading photographs that won’t be relevant for your platforms, check to see if the face is too far from the camera and whether the quality is decent or terrible.
-Receive images for biometric analysis: If your products use biometric analysis, it’s critical that you receive live user-provided images. You can do that with the aid of this API.
Face Liveness check API is a leading facial recognition software used by private and public organizations across the globe to lower the risk of biometric fraud by preventing deep fake and spoofing attacks.
Advanced algorithms in the Liveness facial recognition API can identify several of the most popular biometric spoofing techniques, including 3D and 2D masks and images or videos played on an iPad or laptop. It helps organizations validate that they deal with a real person within seconds, significantly lowering compliance and fraud risk.
Verify that the selfie your users take is indeed being taken live, that it was clicked as efficiently as possible to be saved in your records, that no other faces can be seen in the photo, and that the face actually occupies the majority of the photo.
For making sure the image you have been given isn’t a picture of a photograph, a passport-sized image, or an image of another person on a cell phone or laptop screen, face liveness detection aids in the discovery of frauds.
One of the benefits is AI powered, apply machine learning to improve your KYC and identity-verification processes. Also, is Ultra-fast, enable Frictionless Liveness Detection, Customer Verification & Onboarding. Moreover, Anti-fraud protection, stop spoofing attacks with best-in-class certified liveness detection.
Furthermore, with this amazing API you will able to save time, save money and make your customers will be satisfy with Face checker API.