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App Details

Who is it for?
KBY-AI can be useful for the following user groups:., Financial institutions., Online marketplaces., Healthcare providers., Government agencies., Share registries., Telecom companies

Description

KBY-AI is an identity verification SDK that provides robust solutions for biometric authentication, including face recognition, face liveness detection, and ID card recognition. This tool enables organizations to automate their Know Your Customer (KYC) processes, enhancing customer onboarding and digital identity verification. The face recognition technology accurately matches human faces from digital images or video frames against a database, facilitating efficient identity confirmation for various applications like personal security and system access. With advanced anti-spoofing measures that comply with iBeta Level 2 standards, KBY-AI ensures genuine user verification to prevent fraudulent activities. Additionally, its ID card recognition capabilities support over 200 types of identification documents globally, optimizing data capture for verification. KBY-AI's cross-platform compatibility allows seamless integration across various devices and operating systems, making it a versatile choice for businesses seeking reliable identity verification solutions.

Technical Details

Use Cases
✔️ Automate the KYC process for a financial institution using KBY-AI"s biometric authentication, streamlining customer onboarding while ensuring compliance with regulatory standards., ✔️ Implement face recognition and liveness detection for secure system access in a corporate environment, enhancing personal security and preventing unauthorized access to sensitive information., ✔️ Utilize KBY-AI’s ID card recognition features to support document verification in a travel agency, allowing for quick and accurate processing of over 200 types of identification documents globally.
Key Features
✔️ Face Recognition SDK., ✔️ Face Liveness Detection SDK., ✔️ ID Card Recognition SDK., ✔️ Cross-platform support., ✔️ On-Premise & Fully Offline Work.

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