Detect if an image shows a live person
Analyze and compare faces for attributes and liveness
emotion recognition
3D Passive Face Liveness Detection (Face Anti-Spoofing)
Identify people with and without masks in images
Identify and track faces in a live video stream
Swap faces in images and videos
Identify and match faces from webcam input
Identify celebrities in images
Swap faces in images and videos
Identify and mark facial landmarks in images
Swap faces in photos or videos
Recognize facial expressions from images
Liveness-Detection-SDK is a powerful face recognition tool designed to determine whether an image or video stream depicts a live person or a spoof. This technology is essential for secure authentication systems, helping to prevent fraudulent activities such as identity theft or unauthorized access.
• Real-Time Detection: Quickly identifies whether a face is live or fake in real-time.
• High Accuracy: Utilizes advanced AI algorithms to ensure precise detection.
• Anti-Spoofing Technology: Effectively detects masks, printed photos, or other common spoofing methods.
• Cross-Platform Compatibility: Works seamlessly with multiple operating systems and devices.
• Customizable Thresholds: Allows users to adjust sensitivity based on specific use cases.
• Integration Support: Easy-to-use APIs for smooth integration into existing applications.
What environments is Liveness-Detection-SDK compatible with?
Liveness-Detection-SDK supports Windows, Linux, macOS, iOS, and Android, making it versatile for various applications.
How accurate is the liveness detection?
The SDK achieves high accuracy levels, but performance may vary based on environmental conditions such as lighting and image quality. Regular updates improve accuracy over time.
Is technical support available for integration?
Yes, comprehensive documentation and dedicated support are provided to assist with integration and troubleshooting.