Detect if an image shows a live person
Detect faces in uploaded images
Detect and visualize facial landmarks from a live video feed
Mark faces in images and videos to show key landmarks
Swap faces in a video
Recognize faces and check face liveness
Replace faces in videos
Replace faces in images or videos
Classify beauty in images using a YOLO model
Find and highlight faces in images
Detect faces in images with ease
Swap faces in images or videos
Swap faces in images and videos
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.