Challenge Overview

A large portion of KYC submissions fail because uploaded identity documents are blurry, cropped incorrectly, or contain glare that prevents information from being read during verification. These issues lead to repeated submissions and increased support inquiries.

Challenge Objective

Build a real-time document quality validation system that detects issues such as blur, glare, or improper framing while the user is capturing identity documents and guides them to submit a valid image.

Problem Scope

Focus specifically on image quality validation during document capture for KYC.

Key Issues

• Repeated document submissions due to errors.
• Poor image quality (blur, glare, low resolution).
• Incorrect document framing or cropping.
• Increased KYC rejection cycles and processing delays.

Guiding Questions

• How can the system detect blur, glare, or cropping errors instantly?
• How can the system guide users to recapture better images?
• How can this validation occur without slowing the onboarding flow?

What Teams Should Design and Build

A prototype or system capable of:

• Capturing identity document images
• Running real-time quality checks
• Providing immediate feedback to the user