Previously, user face verification was merely a pipe dream, but those days are long past. The phenomenon is currently spreading like a forest fire over the world. In addition to hiring and firing employees at work, it has many other uses. A face recognition system uses complex algorithms to highlight a person’s facial traits in order to identify them.
Face recognition technology uses biometric authentication techniques to identify facial features in any image or video. Your clients’ submitted official documents are compared to the photograph to identify the face. It integrates a number of AI-powered techniques, such as liveness detection, depth mapping, skin texture analysis, and 3D sensing, to ensure authenticity. Face verification now employs a number of AI algorithms, increasing the software’s efficiency.
Furthermore, 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 aids in the discovery of fraud. To be absolutely certain that the selfie is real and belongs to the person you expect, use it in conjunction with the Face Checker API.
The image URL that you want to check for liveness will be sent to this Image property checker API . It will include details like the face’s quality, if the photo was taken live, and its placement in the picture.
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 detection API, is a service that is genuinely frictionless and seamless, and it is much more secure than conventional ways since it has verified anti-spoofing and liveness detection, which adds an extra degree of protection by making sure the person in front of the camera is who they say they are.
Something that traditional methods of authentication can’t prove. And it works on all types of devices and platforms, whether using a mobile phone, laptop, or kiosk. With no special hardware required.
Face liveness detection API like other biometric authentication mechanisms are vulnerable to spoofing and fake biometrics. This can cause an unauthorized person to bypass the authentication mechanism by using a fake biometric, images of persons, masks or dummy. Several latest mobiles which offer face unlock are prone to such authentication bypass attacks.
The demand for your services to be fully accessible online, has never been greater. But the security risk is the challenge. With more security breaches, identity theft, and fraud cases every day. Organizations like yours facing a tricky question.