Vision

To become a digital leader in providing ID verification processes globally.

Objective

Building an aggregator that will include various ID verification approaches utilizing both 3rd party tools and in-house developed solutions. Initial scope will be quite basic and include well known ID verification providers integrations, but in the nearest future there is an intent to introduce more engaging and elaborate features.

MVP Scope

MVP. Phase 1. Web and Mobile SDKs Development

Requirements

  1. Features included:
    1. Country selection
    2. Definition of available functionality based on selected country
    3. Documents scanning:
      1. Passport
      2. ID card
      3. Driving license
    4. Data extraction
      1. OCR feature for Passport, ID card and Driving license
      2. NFC feature for Passport (Mobile SDK only)
    5. Face recognition and match
      1. OCR for Face recognition from Passport, ID card, Driving license and Live
      2. NFC for Face recognition from Passport and Live (Mobile SDK only)
    6. Data match (e.g. received from passport VS driving license)
    7. Error handling
    8. Data review and approval
    9. Manual data correction (up to 3 symbols per field)
    10. Sharing extracted data with partners
    11. Analytics
      1. Product analytics
      2. For us - to understand SDKs usage. Details TBD
      3. For partners - details TBD
  2. SDK configuration details:
    1. Customizable theming (fonts, color, logo)
    2. Localization (currency, data format etc.)
    3. Translation (who will provide translations if needed - TBD) Language cannot be customized: English only for both static text and input text
    4. Ability to switch on/off some functionality. Example of use cases:
      1. some hotels want to keep passports scanning functionality only
      2. SDK’s monetization will be based on features limitation (Basic vs Premium plans)
  3. SDK compatibility:
    1. Platforms: Web, Mobile
    2. OS: iOS, Android (versions?)
    3. Devices: Mobile (native and web), Desktop (web)
    4. Browsers: Google Chrome, Mozilla Firefox, Microsoft Edge, Safari (versions?)
    5. Programming language(s): ?
  4. 3rd party integrations:
    1. Face Recognition, Face Liveness Detection, and ID Card Recognition - https://kby-ai.com/products/
    2. Digital ID recognition (Singapore only) - https://www.singpass.gov.sg/main/
  5. Tech stack: TBD

User flow

Deliverables

  1. SDK libraries: Compiled libraries containing the core functionality of the Panjia SDK, that can be easily integrated into the target applications and meet all the requirements from above.
  2. API documentation: The list of available APIs, including details on input parameters, expected outputs, error handling, and usage examples.
  3. Sample Code and Tutorials: Sample code snippets and tutorials to guide developers on how to use the Panjia SDK in their application.
  4. Error Handling Guide: Documentation on how errors are handled by the Panjia SDK, including error codes, messages, and recommended troubleshooting steps.
  5. Getting Started Guide: Guide that covers installation, configuration, and basic usage details.