NCheck Bio Attendance is an automatic end-user time-tracking system with fingerprint, face and iris biometrics. Protection against errors or user fraud. Client-server architecture. Reports generation. Webcams, 90+ biometric scanners models supported.
Real-time 3D face motion capture and tracking SDK for development of augmented reality apps, digital character facial expression control or mapping animated avatars on users face. Works on common PC with webcam or Android smartphone.
Real-time biometric face recognition and pedestrian / vehicle tracking SDK for viodeo surveillance systems and networks. Automatic identification against watch list. Vehicle make and model estimation. Pedestrian mask, cloth and gender estimation.
Eye movement tracking with webcam and PC, no specialized hardware required. The technology demo app shows real-time gaze tracking and heatmap generation for research of single and multiple subjects. A software development kit (SDK) is also available
Automated 3D object model creation SDK. 3D scanning performed from sets of photos taken with regular smartphone or still camera. Point cloud reconstruction, mesh generation, texture mapping. Programming samples in C, C++, C# and Visual Basic .NET.
Multiplatform eye iris identification SDK for stand-alone and Web based applications. Fast reliable iris recognition technology accepts images with gazing away eyes or narrowed eyelids. Programming samples: C, C++, C#, Visual Basic .NET, Java 2.
Fingerprint recognition algorithm demo application enrolls and identifies fingers from images or 90+ supported scanners. NIST MINEX-compliant technology. Fast matching (280, 000 templates per second), reliability proven at FVC2006 and NIST FpVTE 2003
Eye iris identification algorithm demo for MS Windows. The robust proprietary iris recognition technology accepts images with gazing away eyes or narrowed eyelids and provide reliable iris matching at speeds up to 600, 000 irises per second.