Face Liveness API analyzes if the selfie your users take is indeed live, if it was clicked in the best way to save it in your records, if several faces were detected in the photo, and what percentage of the photo each face occupies. 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 frauds.
The most common uses are fraud detection for making sure that the image you have been given is real. Also to verify the image’s properties, means 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. Furthermore receive images for biometric analysis: If your products use biometric analysis, it’s critical that you receive live user-provided images.
One advantage is the use of machine learning and AI to enhance your KYC and identity-verification procedures. Additionally, it enables frictionless liveness detection, customer verification, and onboarding and is extremely quick. Additionally, best-in-class certified liveness detection prevents spoofing attacks with anti-fraud protection. This is why the Face Checker API is so important.
Finding human faces, identifying feature points, compensating for off-angle photography, and eventually performing facial recognition are all possible with the help of the Animetrics Face Recognition API. As coordinates on the image, information about facial characteristics such as the ears, nose, eyebrows, lips, and chin is returned. The gender and orientation, or “position,” of faces along three axes will also be detected using this API.
Then you have, Face++API you can use this API’s offline SDK for iOS and Android as well. Although the offline SDK does not offer face recognition, it can nevertheless detect faces, compare them, track them, and identify locations even when the phone is not connected to a cellular network.
Two endpoints make up this API: Face Detection: Recognize the details in the provided photo (e.g. face location, age, race, gender etc.) and Face Landmark – Get 1000 key points of the face from the uploading image.
Additionally, we provide Zyla Labs, who have a fantastic Face Liveness API. Real-time verification of the selfie’s liveness and reality is performed. Verify any user’s identification in a flash with just a selfie. The fact that it has excellent facial recognition and biometric authentication is crucial. The identity of a returning user is validated using Zyla biometric authentication. Our biometric analysis can identify and stop fraudulent activities including account takeover and identity theft. The user is sent back to your platform using the live captured photo API, and you are given an instantaneous authentication decision.
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.