tencent cloud

Overview
Last updated:2026-02-04 11:39:56
Overview
Last updated: 2026-02-04 11:39:56

Overview

The electronic Know Your Customer (eKYC) uses the AI technology to remotely verify user identities automatically. It helps you know your users and reduce the risks posed by identity frauds. It is more simple, efficient, and user-friendly than the traditional offline KYC process.
By leveraging Tencent's leading AI technologies in document recognition, liveness detection, and face comparison, Tencent Cloud eKYC solution simplifies the complicated traditional eKYC process into three automated steps, and accurately verifies the authenticity of user identities with the AI algorithms.

Features

Document OCR

The document OCR feature enables the automatic extraction of identity information and photo from a document image, effectively eliminating the need for manual data entry. Currently, this feature supports the recognition of various types of documents in many countries and regions including Hong Kong (China), Taiwan (China), Macao (China), Malaysia, and Thailand.

Selfie Verification

eKYC performs selfie verification for the user's video selfie to verify the user's identity. Combined with liveness detection technologies such as motion-based and colored light-based verification, it can effectively block various types of identity attacks, including static photo, video reproducing, and 3D-based face mask/headform spoofing.

Identity Verification

A remote identity verification solution that ensures information consistency between the witness and document through three steps: document information collection, live face detection, and one-to-one face comparison. The product core addresses industry pain points like identity fraud, document forgery, and inefficient manual verification, and is widely used in financial securities, social entertainment, telecom operations, electronic wallets, and other industries.

AI Face Shield

AI Face Shield is built on multimodal AI large model algorithms. It defends against attacks through image semantic understanding and self-learning updates to improve business security, and provides anti-attack detection capabilities for facial images and videos. It can effectively and targetedly identify traces of various attacks such as high-simulation AIGC face swaps, high-definition rephotography, batch black industry attacks, and watermark tampering, enhancing the anti-counterfeiting and security capabilities for images and videos.

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