Similar to other biometric verification methods, liveness face recognition is susceptible to biometric spoofing and fabrication. Through the use of fake biometrics, human images, masks, or mannequins, an unauthorized individual may be able to get around the verification process. This sort of authentication bypass technique can be used to compromise a number of more recent phones that support face unlock.
There has never been more demand for your services to be completely available online. The problem, though, is the security risk. with more fraud, identity theft, and security breach incidents every day. Organizations and businesses face a significant difficulty.
Over the past few years, face recognition has developed into a face verification tool, and it is now considered as a reliable way to identify fake identities and stop spoof attacks. With the addition of biometric face verification, artificial intelligence has an edge over earlier types of verification. The market has expanded in size as a result of its resilience, and analysts predict a significant growth in the years to come. Now, try to think is the user who suscribed to the service really who they say they are?
So, if you need to use an API for detecting faces to meet your company needs, there is a tool called Face++API. The offline SDK for this API is also available for iOS and Android. The offline SDK can detect faces, compare them, track them, and pinpoint places even when the phone is not connected to a cellular network, despite the fact that it does not support face recognition.
This API is composed of two endpoints: Face Detection: Identify the specifics in the supplied photo (e.g. face location, age, race, gender etc.) and Face Landmark, which extracts 1,000 crucial facial features from an image during upload.
Zyla Labs, who have an excellent Face Liveness Check API. The authenticity and liveness of the selfie are checked in real-time. Instantly confirm any user’s identity with just a selfie. It’s essential that it features reliable biometric authentication and facial recognition. Zyla biometric authentication is used to verify a returning user’s identification. Our biometric analysis can spot and put a stop to fraudulent actions including identity theft and account takeover. Using the live captured photo API, the user is returned to your platform, where you are immediately informed of their authentication status.
There has never been more demand for your services to be completely available online. The problem, though, is the security risk. With increased instances of identity theft, fraud, and security breaches
The final option is the Face Detection API from EyeRecognize, which offers coordinates for specific face features like the mouth, nose, and eyes. Race, gender, and age are other biometric parameters that it supports. Based on the face-to-image ratio, as well as skin, eye, and hair color, EyeRecognize offers statistics. Try without pay period basic and premium plans with monthly prices with low ranging are available for the API EyeRecognize Face Detection.
And for the last, you also can use another option for an API is Kairos. Numerous image recognition techniques are offered by the popular Face Recognition API. The API defines gender and age while recognizing faces in still images, moving pictures, and real-time streaming. By using this API, you can protect client communications and prevent identity fraud. Kairos is well known for its ethical view of identity. The company’s products meet the needs of numerous international communities.
It is more preferable to employ face recognition technology for facial authentication rather than identification. By donning a mask, one can quickly alter their appearance. Any option that you choose will help your company have the security it needs.