To protect biometric authentication systems against fraud, one needs the Face Liveness Check API. For instance, a fraudster could exploit a facial recognition system using a picture, video, or mask to get access to accounts or data. For a safe facial authentication application, liveness detection is necessary primarily for fraud prevention.
Check whether the selfie your users take is indeed in process, whether it was appropriately clicked to save in your records, whether multiple faces are visible in the picture, and what area of the picture the face actually takes up.
Face liveness detection helps in the detection of frauds by ensuring that the image you have been given isn’t a picture of a picture, a passport-sized image, or an image of another person on a mobile device or laptop screen. Pair the selfie with the Face Liveness API if you want to be 100% assured that it is real and belongs to the person you are expecting.
Zyla Labs built the most effective liveness detection anti-spoofing solution. It demostrates that the provided recordings are from real, live people who were in front of the camera. Real-time online transactions are now substantially more secure thanks to the Zylalabs Face Liveness Check API. One of the most thorough and effective biometric anti-spoofing algorithms available helps our clients successfully avoid identity theft.
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.
Using any common camera, we capture two photographs of the same face and examine them for differences and natural movements. Our sophisticated motion-analysis algorithms can detect how a 3D face moves in contrast to a 2D image.
Another important thing, the usage of Live shot photo API produces even greater degrees of security and counters replay attacks. The simultaneous recording of multiple biometric characteristics, such as facial recognition and eye/periocular measurements, can be coupled in a variety of ways depending on the circumstance and the desired level of security. When numerous biometrics must be supplied at once, it is significantly more difficult for an attacker to pull off a successful fraud. The user can select from a variety of biometric characteristics when authenticating, which provides another convenience. For instance, if you’re wearing a medical mask, you can decide to perform ronly. Since the global epidemic has made face masks more commonplace, this is extremely pertinent.