The Advance tier extends protection with deeper risk intelligence and behavioural analysis. It includes document clarity validation, precise data extraction, basic face liveness detection, and expanded risk evaluation capabilities. This tier adds advanced monitoring of identity patterns and behavioural signals to detect high-risk activity across the user journey. Deepfake detection further ensures facial images are authentic. Conditional manual review is applied to complex verifications to support accurate decision-making.

The solution guides users through a single onboarding journey that includes

1️⃣ Document Verification

➜ Users upload a photo of their government-issued ID.

➜ The document undergoes OCR (optical character recognition) and forgery detection to ensure authenticity.

➜ The system scans the document within a set timeframe, providing real-time feedback to ensure high image quality.

➜ If automatic scanning fails or times out, users can manually capture a photo to complete verification.

2️⃣ Liveness Detection

➜ The process starts by capturing a full-body image at a set distance, followed by a close-up image for facial detail.

➜ Real-time prompts guide users to achieve the best capture quality, with environmental adaptability for various lighting and backgrounds.

➜ Advanced AI algorithms detect liveness to ensure that a live person is present and not a spoofing attempt.

➜ User data is processed securely, with high-standard data protection to meet regulatory requirements.

3️⃣ Face Comparison

➜ Compares the live image captured during liveness detection with the ID document photo.

➜ Returns a similarity score to confirm identity match and detect potential impersonation.

Core Capabilities

✅Image quality control for document verification.

✅Advanced forgery detection for manipulated documents.

✅OCR data extraction of key ID fields.

✅Liveness detection with deepfake resistance.

✅Face comparison with market-optimised performance.

✅Stay compliant and reduce regulatory risk with secure, standards-aligned identity verification.

Use Cases

➜ Financial Institutions & Digital Banks

Accelerates customer onboarding with real-time identity verification

Reduces fraud risk in account opening and loan processes

➜ E-commerce & Digital Platforms

Prevents fake or stolen identities during sign-up and checkout processes

➜ Gig Economy & Transportation

Verifies driver or service provider identities quickly and securely

Reduces onboarding time and operational risk

Performance

✅High Document OCR Accuracy: Reliable extraction of key ID fields

✅Liveness Detection: Certified to iBeta Level 2 standards for anti-spoofing

✅Face Comparison: Market-optimised to support low-end devices and variable lighting

✅Speed: Real-time processing with average response times of 20–40 seconds

✅Scalability: Built to handle high volumes for enterprises and fintechs

Deployment

➜ Integration:

Frontend: H5 SDK and Flutter SDK

Backend: API-based integration

➜ Supported Environments: Mobile web and app

For more information, please visit: 

https://advance.ai/advanguard-identity-verification/