Face Verification API

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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Supported Certificates

iBeta stands as the premier biometrics testing company and a globally renowned quality assurance provider, offering industry certification and software testing services to companies worldwide.

In order to provide the best liveness detection solution, Luxand.cloud's liveness detection technology is certified and has passed Level 1 and Level 2 iBeta Presentation Attack Detection (PAD) conformance testing with a perfect PAD score.

What is Face Verification API?

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 applications, 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. Integration is straightforward, allowing developers to focus on building their application without getting bogged down in complex facial recognition algorithms.

Luxand.cloud's API prioritizes security and privacy, with measures in place to safeguard user data. Furthermore, Luxand.cloud provides a free tier with 500 monthly requests, ideal for developers to test and explore the potential of face verification in their projects.

Face Verification Use Cases

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Facial verification is used to grant access to secure areas, such as buildings, data centers, and IT systems. It can also be used to verify the identity of individuals at airports, borders, and other checkpoints.

Facial verification is used to identify suspects, witnesses, and victims of crime. It can also be used to track the movements of individuals and monitor crowds.

Access control

Facial verification API can be used to authenticate users for online banking, mobile payments, and other financial transactions. This can help to prevent fraud and protect users' financial information.

Financial transactions

Law enforcement

Face Verification Benefits

The system can analyze large volumes of data in a matter of seconds, making it ideal for high-throughput environments such as airports, border checkpoints, and other security-sensitive areas.

High accuracy

With its versatility and robustness, Luxand face verification API is becoming an increasingly popular solution for businesses seeking to improve their security, streamline their processes, and enhance their user experience.

Versatility

Since it can be integrated into a wide range of platforms and systems, it can be easily adapted to suit the specific needs and requirements of businesses and organizations of any size.

Scalability

You can use Luxand.cloud face detection API for free to build your app/software! 500 API requests are available monthly for every user, you just need to create an account.

Free plan

How to try Luxand.cloud API?

Read a step-by-step guide on how to try out Luxand.cloud's face verification API.

Read Luxand.cloud Guide

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Face verification API FAQ

How is face verification API different from face recognition?
While both face verification and face recognition involve analyzing facial features, there is a key difference. Face verification is used to confirm the identity of an individual against a known reference photo, while face recognition is used to identify an individual by matching their face to a database of faces.
How accurate is face verification API?
The accuracy of face verification API depends on a variety of factors, including the quality of the images being used and the complexity of the matching algorithm. However, modern face verification systems can achieve high levels of accuracy, with some systems boasting a verification accuracy rate of over 99%.
What kind of photos can I use with Face Verification API?
Luxand Face Verification API is designed to work with any type of photo that contains one or more human faces.