Elevate your standard device activation, user login, and request signing scenarios by incorporating facial recognition and document scanning in diverse situations:
- Reclaim access or recover lost credentials through authenticating the user's genuine presence and verifying document validity.
- Reinforce conventional password or PIN-based authentication with an extra layer of security through face recognition.
- Seamlessly onboard new customers into your systems, authenticating them with identification cards and facial scans for access to your app.
Requuirement | Value |
---|---|
Min. system | Android 9 (API level 28) |
Integration | MavenCentral |
We also provide an iOS version of this library.
The Wultra Digital Onboarding SDK functions as an extension of Wultra Mobile Authentication (PowerAuth) that is required.
Before initiating the integration, it's essential to ensure that your server environment is prepared with appropriately configured services capable of managing user verification and onboarding, seamlessly connecting to your systems.
Given the unique characteristics of each customer system, the utilization of this SDK may vary. To accurately outline the user verification process, we recommend consulting with our technical team for tailored guidance.
We seamlessly incorporate industry-leading solutions for document scanning, ensuring versatility and effectiveness in your operations.
- iProov for genuine presence
- Innovatrics for document scanning and genuine presence
- ZenID for document scanning
Our dedicated technical and sales representatives are available to guide you in selecting the optimal solution that aligns perfectly with your needs.
The code of the library is open source and you can freely browse it in our GitHub at https://github.com/wultra/digital-onboarding-android
- SDK Integration
- Device Activation With Email* Only
- Verifying User With Document Scan And Genuine Presence Check
- Onboarding a new user (not available at the moment)
- Language Configuration
- Logging
- Changelog
* or similar weak identification like userID or phone number