Face expressional changes such as smile, sad, angry
Head rotation support: +/- 20°yaw, pitch from frontal images,
Easy configuration of face recognition parameters
Powerful face/eye detection on images and video streams
Advanced illumination correction module
Powerful image noise reduction
Detailed documentation including SDK/API reference and user guide
Fully documented examples and implementation details supported by FAQs and knowledge-based use cases.
Simplified API for faster development time.
Mobile face verification
Advanced DVR system
Biometric smart card
Learning-based facial detection
Local face feature extraction
Face illumination correction
Featured-based face recognition
Advanced face feature classification
It uses four different algorithms for matching a face. Local features and global features are extracted in parallel. 50 facial feature points from eye, eye corner, mouth, mouth corner, and nose are extracted.
Employ 3Dface model technology (3D) which 3D takes thousands of face feature points.