FaceOnLive On-Premise Solution
Recognize faces and check face liveness
Identify real or fake faces in images
Identify faces in uploaded images
Securely verify your face for identity without data leaks
Analyze face image to predict attractiveness, gender, glasses, and facial hair
Recognize faces in a live video stream
Display face recordings from images
Swap faces in videos or images
Identify and mark facial landmarks in images
Recognize facial expressions from images
Replace faces in videos with new ones
FaceOnLive On-Premise Solution
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.