Analyze and compare faces for attributes and liveness
2 head pose estimation with mediapipe and trained-model
Identify and highlight faces in a photo
Find anime faces in images
Detect if an image shows a live person
Swap faces in videos
Register, recognize, and delete users using face and voice
Recognize facial expressions from images
Swap faces in videos
Facial_Emotion_Recogniser
Analyze if an image contains a deepfake face
Identify ethnicity group from a picture
Mark attendance using face recognition
NIST FRVT TOP 1 Face Recognition, Face Liveness Detection, Face Analysis is a cutting-edge solution that leverages advanced AI to analyze and compare faces for attributes and liveness. Ranked as the top-performing system by the National Institute of Standards and Technology (NIST) Face Recognition Vendor Test (FRVT), it excels in accuracy, reliability, and efficiency. This technology is designed to detect and verify faces, ensuring authenticity while providing detailed face analysis.
• High Accuracy: Achieves top-tier performance in face recognition as validated by NIST FRVT.
• Real-Time Detection: Enables rapid face detection and liveness verification.
• Comprehensive Analysis: Provides detailed face attributes such as age, gender, and facial expressions.
• Anti-Spoofing: Advanced liveness detection to prevent fraud and spoofing attacks.
• Scalability: Supports large-scale deployments with high throughput.
• Integration Capabilities: Easily integrates with existing systems and workflows.
What industries benefit most from this technology?
This solution is widely used in security, law enforcement, finance, healthcare, and retail for identity verification and access control.
How does liveness detection work?
It uses advanced algorithms to detect real faces versus spoof attempts, such as analyzing subtle facial movements or environmental cues.
Is the system compliant with privacy regulations?
Yes, it is designed with data privacy in mind and complies with major regulations like GDPR and CCPA.