FaceOnLive On-Premise Solution
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Identify real or fake faces in images
Recognize emotions in images and videos
Detect and visualize facial landmarks from a live video feed
Block out underage faces in real-time video
Identify ethnicity group from a picture
Face Recognition
Find anime faces in images
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Swap faces in videos
The Face Liveness Detection SDK is an advanced on-premise solution designed to determine if an image or video stream represents a live face. It is part of the FaceOnLive family of products, offering a robust and secure way to verify the authenticity of facial data. This SDK is specifically engineered to detect and prevent spoofing attacks, ensuring that only genuine live faces are processed. By leveraging cutting-edge 3D face mapping and AI-driven analysis, the SDK provides accurate and reliable results in real-time, making it ideal for enterprise environments that require high levels of security and compliance.
• Anti-Spoofing Technology: Detects and rejects images or videos that are spoofed using photographs, videos, or masks.
• On-Premise Deployment: Operates entirely within your infrastructure, ensuring data privacy and security.
• Multiple Environment Support: Works seamlessly across various platforms, including mobile and desktop applications.
• Real-Time Detection: Provides instant feedback on whether the face is live or spoofed.
• Customizable Integration: Allows developers to tailor the SDK to meet specific use-case requirements.
• High Accuracy: Delivers precise results even in challenging lighting conditions or with varying face angles.
• Compliance-Ready: Meets strict regulatory requirements for data protection and privacy.
What does the Face Liveness Detection SDK do?
The SDK verifies if a face presented in an image or video is live, helping to prevent spoofing attacks and ensuring authentication security.
Which platforms does the SDK support?
The SDK is designed to work on mobile and desktop applications, with flexibility to integrate into various operating systems and environments.
How does the SDK handle poor lighting or varying face angles?
The SDK uses advanced AI algorithms to maintain high accuracy even in challenging conditions, such as poor lighting or unconventional face orientations.