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Development of an iOS SDK for High-Accuracy Document Scanning with Fraud Prevention Capabilities
  1. case
  2. Development of an iOS SDK for High-Accuracy Document Scanning with Fraud Prevention Capabilities

Development of an iOS SDK for High-Accuracy Document Scanning with Fraud Prevention Capabilities

wearenotch.com
Financial services
Business services

Identifying the Need for a Robust iOS Document Verification SDK

The client requires an advanced iOS software development kit (SDK) capable of supporting high-accuracy identity document scanning integrated with crossmatching technology. The complex nature of the technology necessitates niche technical skills to ensure reliable implementation, security, and fraud prevention. The goal is to facilitate secure onboarding and transaction verification processes within financial applications across Apple devices, with a short time-to-market window.

About the Client

A mid-sized fintech company specializing in digital identity solutions, aiming to provide secure and seamless document verification services for banking and financial institutions.

Core Goals for the Document Verification SDK Development

  • Develop an iOS SDK that supports seamless integration with Apple devices for document scanning and data capture.
  • Ensure the SDK provides a flawless user experience across iOS platforms, including intuitive UI and reliable performance.
  • Accelerate deployment timelines to enable early market entry and ROI, targeting initial adoption within financial services sectors.
  • Support high-accuracy reading and crossmatching to prevent identity fraud, thereby enhancing security and trust.
  • Support platform integration with existing identity verification workflows and backend systems.

Key Functional Capabilities for the Verification Solution

  • Support for scanning and extracting data from a wide range of identity documents with high accuracy.
  • Crossmatching technology to verify data integrity against established databases and prevent fraudulent activities.
  • User-friendly interface optimized for iOS devices ensuring minimal user friction.
  • Ability to flag, suspend, or manage suspicious IDs based on detection outcomes.
  • Real-time feedback and error handling to guide users through the scanning process.

Technology Stack and Architectural Preferences

Swift
ObjectiveC
iOS SDK Development
Crossmatching algorithms

Third-party and Backend System Integrations

  • Backend identity verification databases
  • Crossmatching and fraud detection services
  • Existing authentication and onboarding workflows
  • Secure data storage and retrieval systems

Performance and Security Priorities

  • High performance with real-time processing capabilities suitable for mobile environments.
  • Accuracy rate exceeding 99% for document data extraction.
  • Secure data handling complying with industry standards such as GDPR, with encrypted data transfer and storage.
  • Scalability to support integration with multiple backend systems and concurrent users.

Projected Business Benefits and Performance Metrics

The successful development and deployment of the iOS SDK are expected to enable rapid market entry, support enterprise-level fraud prevention, and deliver a measurable ROI. Anticipated outcomes include increased trust in digital onboarding processes, minimized identity fraud incidents, and the capability to support initial clients in the financial sector, contributing to a significant enhancement in overall security and operational efficiency.

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