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How It Works
Face recognition is a biometric technology that matches a person’s unique facial features in images or videos against a face database to confirm their identity.
- 1.Face DetectionA face is captured from a live camera feed, uploaded photos, or video frames.
- 2.Face AlignmentThe system positions up to 468 face landmarks and head rotation angles (roll, pitch, yaw) to create a normalized face representation.
- 3.Template ExtractionUnique face biometric features are extracted and encoded into a template for matching.
- 4.Face MatchingThe biometric template is compared with another template (1:1) or multiple templates (1:N) to find a match.
Key Features
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Face Detection in Real-World Conditions
Detect faces with masks, hats, glasses and partial occlusions at different lighting, angles, and tilts. -
High-Speed Face Matching
Search up to 800 million faces per second using full CPU resource. -
Quick Biometric Template Generation
Build biometric templates for up to ~100 faces per second on a single CPU core and scale up to ~600 faces per second with GPU processing. -
Flexible Deployment
Select on-premise, cloud, or edge deployments to meet your performance, privacy, and control requirements. -
Multi-Language API Support
Compatible with Python, C++, C#, Kotlin, Flutter, Swift, Go, Java, and Node.js. -
Cross-Platform SDKs & APIs
Available for Windows, Linux, Android, and iOS.
Benchmarks
3DiVi Face Recognition delivers top NIST-rated accuracy and speed with low false match rates and sub-second response times, even for databases with millions of faces. Performance is tested on diverse datasets to ensure robustness and eliminate demographic bias.
Use Cases
Monitor public spaces with face recognition to identify missing people or criminals, helping keep communities safe.
Ensure trusted and secure digital onboarding, logins, and payments with face recognition integrated into 2FA/MFA.
Enable fast, secure face-based access to offices, airports, or restricted areas without keycards, PINs, or badges.
Instantly identify repeat shoplifters using internal or shared blacklists across your retail network.
Detect and block fraudulent or duplicate login attempts using identity verification with liveness / deepfake checks.
Track employee attendance with face recognition ensuring touch-free timekeeping and payroll management.
Success Stories
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