Experience frictionless and fully-automated global onboarding with our AI Face Recognition SDK, designed to detect and prevent fraud at every step. Our cutting-edge technology enables real-time face verification and biometric identification, ensuring secure, fast, and accurate user authentication.
Our FaceSDK supports developers working in Microsoft Visual C++, C#, Objective-C, Swift, Java, VB, Delphi, and Python to create both 32-bit and 64-bit face recognition applications. It is compatible with all major operating systems, including Windows, Linux, macOS, iOS, and Android, and can be integrated into web, desktop, and mobile applications.
Used in hundreds of real-world deployments, FaceSDK powers face recognition in:
Secure identification systems
Fraud prevention platforms
Surveillance solutions
Time and attendance tracking systems
Graphic editors and multimedia tools
Real-time facial detection in video streams and static images
Enhance your applications with industry-leading face detection and recognition technology built for scalability, security, and seamless user experience.
Our Face Recognition SDK delivers full cross-platform compatibility, supporting all major desktop, server, and mobile operating systems for seamless integration across your applications.
FaceSDK is compatible with both 32-bit and 64-bit architectures of:
Windows (all major versions)
Linux
macOS (all versions)
FaceSDK offers advanced facial recognition support for mobile platforms, enabling developers to create high-performance apps for iOS and Android devices.
iOS: Compatible with iOS 9.0+ (iPhone, iPad, and simulator)
Android: Supports Android 5.0+ (API Level 21+)
Architectures: armv7, arm64, x86, x86_64
You can also deploy FaceSDK on Android-based embedded systems, making it ideal for edge devices, biometric terminals, and mobile identity verification apps.
Face verification in 4 simple steps:
End-user uploads a photo of government-issued identity document.
Our KYC (Know Your Customer) verification process is designed to be both secure and user-friendly, allowing end-users to efficiently verify their identity by uploading a photo of their government-issued identity document.
End-user takes a live selfie using mobile or webcam.
Our KYC (Know Your Customer) verification process includes a live selfie feature designed to enhance security and authenticity. By capturing a live selfie using a mobile device or webcam, we ensure that the person undergoing verification is physically present and matches the identity documents provided.
Our engine matches the user’s selfie with the photo on ID document.
Our advanced KYC (Know Your Customer) verification process includes a sophisticated selfie-to-ID photo matching engine designed to ensure the highest level of accuracy and security. This feature enables us to match the user's live selfie with the photo on their government-issued identity document, enhancing the reliability of identity verification and preventing fraud.
Verification results are delivered and proof is stored in back-office.
Our KYC (Know Your Customer) verification process ensures that results are promptly delivered and proof is securely stored in the back-office for efficient management and compliance. This end-to-end solution provides reliable verification outcomes while maintaining comprehensive records for future reference and regulatory adherence.
MiniAiLive’s simple, yet powerful, AI-assisted face recognition sdk encompasses a multitude of advanced fraud prevention tools to ensure robust fraud prevention and seamless onboarding.
3D depth analysis in face recognition is an SOTA technique that leverages three-dimensional information to improve the accuracy and reliability of identifying individuals.
We detect any photographic data used for possible spoof attacks.
Unlike regular facial expressions, microexpressions are difficult to fake and often reveal a person's true emotions, making them a potent tool for understanding human behavior. We analyze human expression such as blinking, and smiling for liveness detection.
Liveness detection in face recognition is a critical feature that helps distinguish between live, genuine users and spoofing attempts using photos, videos, or masks. This technology is essential for ensuring the security and reliability of face recognition systems. We capture live biometric data for accurate face matching.
AI mapping in face recognition involves using artificial intelligence techniques to identify, analyze, and understand facial features for accurate recognition.
We provide very accurate and secure face mapping engine for biometric authentication.
Elevate your onboarding process now with MiniAiLive’s Face Recognition SDK. Enhance security with facial verification to combat reverse engineering, account takeover, man-in-the-middle, and replay attacks. Bypass passwords for advanced access management.
Age verification is essential in . . .
Fintech identity verification is vital . . .
In today’s digital world, businesses . . .
Learn More About Our Revolutionary Face Verification in Action
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