Marketplace fraud prevention involves implementing . . .
Seamless and fully-automated global onboarding powered by advanced AI Face Recognition SDK, with a multitude of fraud detection tools.
Our Instant Face Recognition technology is designed to deliver rapid and accurate identification by analyzing facial features in real-time. This advanced system leverages cutting-edge algorithms and artificial intelligence to provide seamless and secure verification for a wide range of applications.
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.
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Learn More About Our Revolutionary Face Verification in Action
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