Azure Vision Liveness Detect
iOS app by Microsoft Corporation. Developer Tools · Microsoft Corporation
- Store rating
- 3.67 / 5
- Store rating count
- 6
- Download price
- Free to download
- In-app purchases
- Unknown
- Version
- 1.5.1
- Listing last refreshed
- 2026-09-06
View the original store listing
Store description excerpt
This app is designed to enable functional testing of Microsoft Azure Vision's Face Liveness Detection and Verification feature. It allows users to assess how Azure's face verification technology performs in a variety of environments and configurations. Whether you're evaluating the technology for potential integration into your own applications or testing for specific conditions, this app provides the tools to ensure the effectiveness of face liveness detection processes. The app is ideal for developers, security professionals, and organizations interested in exploring the capabilities of face verification technology. With the ability to test various scenarios, users can validate how well the system performs under different conditions, ensuring optimal security and performance. Key Features: - Testing and Evaluation: Perform functional tests on the Face Liveness Detection and Verification feature of Microsoft Azure Vision. - Versatile Testing Environments: Assess technology performance across different environmental factors and configurations. - No In-App Purchases: Access full functionality with a valid subscription key obtained from the Microsoft Azure portal. - Easy Integration Testing: Evaluate the effectiveness of face verification processes for use in your systems or applications. How It Works: To use the testing features, simply enter your subscription key, which can be obtained via the Microsoft Azure Portal. The app does not require any in-app purchases or transactions. Users with an active key can start testing immediately. This app is tailored to those who need a reliable solution for evaluating face liveness detection in real-world scenarios, giving you the insight needed for secure face verification integration.
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