Liveness Detection with JavaScript

Luxand.cloud liveness detection API allows to determines whether a face in an image is real or a spoof. Our technology is used to build liveness detection applications on different languages including JavaScript.

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Face Recognition SDK

Broader capabilities
Full control over user data
Offline capabilities
Unlimited usage

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Luxand FaceSDK is the best option since FaceSDK enables Microsoft Visual C++, C#, Objective C, Swift, Java, VB, Delphi and Python developers to build 32-bit and 64-bit applications for Web, Windows, Linux, macOS, iOS and Android.

iBeta Certified Liveness Detection

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.

Building Liveness Detection Applications with JavaScript

Liveness detection, the technology that confirms a real person is behind the screen, is becoming increasingly important in the era of deepfakes and other fraudulent activities. Developers often choose JavaScript as one of the most popular programming languages for this task since JavaScript offers a wide range of advantages, making it a preferred language for building such applications.

The main advantage of JavaScript is its support by all major web browsers, making it an excellent choice for developing applications that need to run seamlessly across different platforms and devices. Whether on desktop or mobile, a JavaScript-based liveness detection application can be deployed easily.

Liveness Detection Use Cases

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Liveness detection is a useful tool that cryptocurrency exchanges can employ to confirm customers' identities and adhere to Know Your Customer (KYC) rules. Go to our solution page to find out more about KYC - Face Recognition Solution for KYC Identity Verification.

Online gaming platforms leverage liveness detection. This technology helps to verify players are real people, not photos or videos, helping to curb underage gambling and create a fairer playing field for everyone.

Cryptocurrency

Banking and other financial organizations use liveness detection to confirm customers' identities, stop fraudulent transactions, and verify a new customer's identification when they open an account.

Financial services

Gambling

Supported Methods

Liveness detection comes in three main forms: passive, active, and a combination of both (hybrid). Our system integrates easily with different platforms using REST requests and works with various programming languages. It can handle both passive and active checks, which strengthens the overall accuracy and reliability of biometric authentication. This helps in building more complex apps with enhanced security measures to protect against fraudulent activities.

How to try Luxand.cloud API?

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

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Liveness detection API FAQ

What are the benefits of using liveness detection API?
The benefits of using liveness detection API include enhanced security, reduced risk of fraud, improved user experience, and compliance with regulatory requirements, such as KYC and AML.
Is liveness detection API secure and reliable?
Yes, liveness detection API is designed to be secure and reliable, by using various encryption, authentication, and verification mechanisms, and by complying with industry standards and best practices.
What is the purpose of liveness detection API?
The purpose of liveness detection API is to prevent fraudulent activities that could be performed by using someone else's photo or video, such as identity theft, account takeover, or financial fraud.