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AI-Powered Face Recognition API

Luxand.cloud face recognition API uses algorithms to analyze and compare patterns in facial features to identify individuals. This is done by comparing the facial features in an image to a reference database of known individuals. The reference database is created by the user, by uploading images of the individuals they want to be able to recognize.

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What is the
Face Recognition API?

Face recognition is a way of identifying or confirming an individual’s identity using their face. Facial recognition systems can be used to identify people in photos, videos, or in real-time. Many people are familiar with face recognition technology through the FaceID used to unlock iPhones (however, this is only one application of face recognition).

Beyond unlocking phones, facial recognition works by matching the faces of people walking past special cameras, to images of people on a watch list. The watch lists can contain pictures of anyone, including people who are not suspected of any wrongdoing, and the images can come from anywhere — even from our social media accounts.

Luxand.cloud offers fast and accurate face recognition API that enhances applications with the ability to quickly identify individuals. This tool is designed to deliver real-time recognition with high accuracy, ensuring a seamless user experience. Whether integrating into security systems, customer service platforms, or personalized user interfaces, developers can leverage this robust API to create responsive and dependable face recognition functionalities, all with minimal coding effort.

Luxand.cloud offers a face recognition API that is easy to use and supports widely-used programming languages such as Python and JavaScript.

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Designed for developers and businesses

The most powerful
Face Recognition API

We understand how tedious it is to think about different formats and integration barriers.

Our Face Recognition API, Liveness Detection API, Face Detection API share easy to understand logic across all endpoints.

Face Recognition Use Cases

The usage of facial recognition API ranges from personalized advertising and targeted promotions to security measures like shoplifting prevention and access control.

Gambling platforms use face recognition API to prevent cheating, account sharing, and other forms of abuse. Plus, the age verification technology can be additional layer of security to prevent unauthorized attempts.

Face recognition API is used for security measures

A gambling platform uses face recognition API to prevent cheating

Marketplaces

Banks and other financial institutions use facial recognition API to improve security and prevent fraud. For example, facial recognition API can be integrated into mobile banking apps, adding an extra layer of security for sensitive transactions like money transfers or bill payments.

Finance

Face recognition scans a woman's face to verify her payment

Gambling

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Single platform

Face Recognition API, Liveness Detection API, Face Detection API and more.

We bring everything together that is required to build a successful app or software based on the face recognition technology.

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Face recognition API FAQ

Is facial recognition technology accurate?
The accuracy of facial recognition technology varies depending on a number of factors, including the quality of the images being used, the specific algorithms being employed, and the reference database being compared to. In general, however, modern facial recognition technology is highly accurate.
Is facial recognition technology legal?
The use of facial recognition technology is legal in many countries, but there are also some restrictions and limitations in place in some jurisdictions. It is important to check the specific laws and regulations in your area before using facial recognition technology.
Can facial recognition technology be used to identify anyone?
Facial recognition technology can only be used to identify individuals who are included in the reference database being compared to. If an individual is not in the reference database, the technology will not be able to identify them.