Why Amazon Rekognition Face Liveness?
Amazon Rekognition Face Liveness verifies that only real users, not bad actors using spoofs, can access your services. Amazon Rekognition Face Liveness analyzes a short selfie video to detect spoofs presented to the camera, such as printed photos, digital photos, digital videos, or 3D masks, as well as spoofs that bypass the camera, such as pre-recorded or deepfake videos. Face Liveness is a fully managed feature that can be easily added to your React web, native iOS, and native Android applications running on most devices with a front-facing camera. No infrastructure management, hardware-specific implementation, or machine learning expertise is required. The feature automatically scales up or down in response to demand, and you only pay for the face liveness checks you perform.
Use cases
Capabilities
High security | Presentation attacks detection | Detects spoof attacks presented to the camera, such as printed 2D photos, 2D cut-out paper masks, and hi-res photos or videos on a digital screen. |
Bypass attacks detection |
Detects spoof attacks that bypass the camera, such as pre-recorded, synthetic, and deepfake videos directly injected into the video capture sub-system. | |
3D mask attacks detection |
Detects spoof attacks that use 3D masks made of silicone, latex, plastic, cloth, and more. | |
Configurable confidence score |
Provides a confidence score between 0 and 100 for adjustable security levels based on your use case. | |
Low user friction | Near passive user action |
Requires simple action of moving face into an oval rendered on user's device screen similar to taking a selfie video. |
Fast verification |
Analyzes user selfie video in real-time to minimize end-to-end latency and deliver results in seconds. | |
User guidance and feedback |
Provides on-screen instructions and contextual guidance to help end-users complete liveness checks quickly. | |
Accessibility compliance |
Adheres to Web Content Accessibility Guidelines (WCAG) 2.1 for the colored screens displayed in the Face Liveness user challenge, minimizing impact to photo-sensitive users. | |
Ease of integration | Broad platform support |
Integrates into AWS Amplify SDKs for web (React) and mobile (native iOS and native Android). No hardware-specific implementation required. |
Pre-built user interface (UI) components |
Provides pre-built user interfaces to quickly integrate Face Liveness into your application. | |
Optimized video capture and streaming |
Minimizes selfie video size to under 1 MB for efficient data transfer. | |
Selfie frame with quality checks |
Provides a high-quality selfie frame for face matching or age estimation. | |
Ease of management | Fully managed |
No need to deploy or manage liveness sotware in their on-premises or hosted infrastructure. |
Audit Image |
Returns up to four frames for manual inspection or audit trail purposes. | |
Pay per use and Autoscaling |
Pay per liveness check and automatically scale up to millions of liveness checks per day. | |
Open-source device SDKs |
Full transparency and visibility into AWS Amplify SDKs. |
Customers
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Software Colombia
Software Colombia is a top-tier software development company based in Bogotá, Colombia, providing cutting-edge technology solutions globally.