The ID check service requests identity verification through a liveform based on user policies configured by the host. Below is a detailed explanation of the verification steps and key technologies.
Step 1: Verify ID
Users capture their ID in real-time or upload a pre-taken image. The OCR AI validates the ID's authenticity and extracts its information, converting it into text data. The extracted data is displayed for users to review and edit (User Input) if needed, improving data accuracy.
- Key Technology: OCR AI for accurate text conversion from ID data
- Important: Users can review and edit the data to enhance reliability.
Step 2: Verify Face
Users take a face photo or upload one, which activates two AI systems:
- Face Compare AI: Verifies if the ID photo matches the submitted face photo.
- Liveness AI: Detects whether the submitted face photo is genuine and prevents impersonation.
These AI technologies strengthen security by preventing forgery and identity theft.
Step 3: Review Consolidated Information
OCR Data from Step 1 is compared with the user-reviewed data to validate identity details. Text Matching AI detects similarities, handling variations in names due to language differences or formatting, such as identifying "Joseph Robinette Biden" and "Joe Biden" as the same individual.
- Key Technology: Text Matching AI for comparing names and critical details.
- Important: Ensures consistency in identity information for reliable results.
Step 4: AML Screening
Using the verified identity data, the AML (Anti-Money Laundering) screening identifies high-risk individuals. Text Matching AI operates to minimize the risk of missing flagged individuals.
- Key Technology: Text Matching AI for evaluating matches with watchlists.
- Important: Enhances risk identification accuracy through robust AML screening.