This article describes Oz components that can be integrated into your infrastructure in various combinations depending on your needs.
The typical integration scenarios are described in the Integration Quick Start Guides section.
Oz API is the central component of the system. It provides RESTful application programming interface to the core functionality of Liveness and Face matching analyses, along with many important supplemental features:
Persistence: your media and analyses are stored for future reference unless you explicitly delete them,
Authentication, roles and access management,
Asynchronous analyses,
Ability to work with videos as well as images.
For more information, please refer to Oz API Key Concepts and Oz API Developer Guide. To test Oz API, please check the Postman collection here.
Under the logical hood, Oz API has the following components:
File storage and database where media, analyses, and other data are stored,
The Oz BIO module that runs neural network models to perform facial biometry magic,
Licensing logic.
The front-end components (Oz Liveness Mobile or Web SDK) connect to Oz API to perform server-side analyses either directly or via customer's back end.
iOS and Android SDK are collectively referred to as Mobile SDKs or Native SDKs. They are written on Swift and Kotlin/Java, respectively, and designed to be integrated into your native mobile application.
Mobile SDKs implement the out-of-the-box customizable user interface for capturing Liveness video and ensure that the two main objectives are met:
The capture process is smooth for users,
The quality of a video is optimal for the subsequent Liveness analysis.
After Liveness video is recorded and available to your mobile application, you can run the server-side analysis. You can use corresponding SDK methods, call the API directly from your mobile application, or pass the media to your backend and interact with Oz API from there.
The basic integration option is described in the Quick Start Guide.
Mobile SDKs are also capable of On-device Liveness and Face matching. On-device analyses may be a good option in low-risk context, or when you don’t want the media to leave the users’ smartphones. Oz API is not required for On-device analyses. To learn how it works, please refer to this Integration Quick Start Guide.
Web Adapter and Web Plugin together constitute Web SDK.
Web SDK is designed to be integrated into your web applications and have the same main goals as Mobile SDKs:
The capture process is smooth for users,
The quality of a video is optimal for the subsequent Liveness analysis.
Web Adapter needs to be set up on a server side. Web Plugin is called by your web application and works in a browser context. It communicates with Web Adapter, which, in turn, communicates with Oz API.
Web SDK adds the two-layer protection against injection attacks:
Collects information about browser context and camera properties to detect usage of virtual cameras or other injection methods.
Records liveness video in a format that allows server-side neural networks to search for traces of injection attack in the video itself.
Check the Integration Quick Start Guide for the basic integration scenario, and explore the Web SDK Developer Guide for more details.
Web UI is a convenient user interface that allows to explore the stored API data in the easy way. It relies on API authentication and database and does not store any data on its own.
Web console has an intuitive interface, yet the user guide is available here.