FaceOnLive On-Premise Solution
Mark faces in images and videos to show key landmarks
Recognize facial expressions from images
Swap faces in videos
Detect faces in uploaded images
Recognize faces in video or image for attendance
Swap faces in videos
Face liveness detection and verification
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Classify facial expressions in images
Find and highlight faces in images
Classify facial attractiveness and explain predictions
Turn selfies into face insights
The Face Liveness Detection SDK is a software tool designed to determine whether a face in an image is live or not. It is an on-premise solution that helps prevent identity verification fraud by detecting spoofing attempts, such as photos, videos, or masks. This technology is particularly useful for security, banking, and access control systems where accurate identity verification is critical.
• Real-Time Detection: Quickly verify if the face in the image is live or artificial.
• Anti-Spoofing Technology: Includes advanced algorithms to detect various spoofing methods, such as printed photos, masks, or video replays.
• On-Premise Deployment: Operates locally on your servers, ensuring data privacy and compliance with regulations.
• Integration-Friendly: Can be easily integrated into existing identity verification systems.
• High Accuracy: Provides accurate results under various lighting conditions and face orientations.
• Customizable Settings: Allows adjustments to sensitivity and detection parameters based on specific use cases.
What platforms does the SDK support?
The SDK supports multiple platforms, including Windows, Linux, and Android, making it versatile for different deployment environments.
Can this technology work in low-light conditions?
Yes, the SDK is optimized to work under various lighting conditions, including low light, to ensure accurate detection.
Does the SDK store any face data?
No, the Face Liveness Detection SDK processes images in real-time and does not store any face data, ensuring privacy and compliance with data protection regulations.