The face verification API works by comparing a given face to a stored reference photo to determine whether the two faces belong to the same person. Luxand.cloud then uses machine learning algorithms to determine the likelihood that the two faces belong to the same person.
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Face verification APIs are tools for developers. These APIs work by extracting key features from a face, like the distance between the eyes or the shape of the jaw. They then compare those features to a reference image.
The face verification API allows developers to build applications that require secure user verification without needing to program the complex facial feature extraction and comparison algorithms themselves. These applications can be used for various use cases, such as identity verification, access control, and fraud prevention. It is widely used in industries such as banking, healthcare, and law enforcement, where accurate identification is critical.
Luxand.cloud offers a face verification API that empowers developers to seamlessly add secure face authentication to their applications. This technology verifies a user's identity by comparing a live selfie to a reference image, ensuring the person is who they say they are. The integration process is designed to be simple, allowing developers to focus on building their application without getting bogged down in complex facial recognition algorithms.
Luxand.cloud supports major programming languages like Python and JavaScript, ensuring a smooth development experience for your face verification applications.