Download-Software etikettierte vorbei fingerprint recognition

Multiplatform fingerprint identification SDK. Supports more than 20 major fingerprint scanners and sensors. Includes programming samples in C, C++, C#, Sun Java 2, Visual Basic 6, VBA and Delphi 6. The trial requires constant internet connection

Multiplatform fingerprint identification SDK for PC and Web based applications. Supports 100+ fingerprint scanners and sensor models on Windows, Linux and Mac OS X. Includes programming samples: C, C++, C#, Sun Java 2, Visual Basic .NET and Delphi 7.

FingerPoint is an end user software package for person identification using his/her fingerprints as a unique ID.

The BioCert Authenticator Lite Edition 10 Users is a biometric toolkit designed to simplify fingerprint Identification in any VB compliant application using a simple ActiveX drop in. The toolkit is a Client/server application based on TCPIP.

Multiplatform fingerprint identification SDK with biometric ActiveX clent/server components for rapid application development. Supports 20+ scanners and sensors. Includes programming samples in C, C++, C#, Java, Visual Basic 6, VBA and Delphi 6.

30 day SDK trial includes library, C/C++ programming samples, scanner drivers for Linux. Integration into ARM-based devices with ARM Linux or Windows Mobile. Constant internet connection required. Ready-to-use hardware device in Device EDK included.

NCheck Bio Attendance is an automatic time-tracking system with fingerprint and face biometrics. Protection against errors or user fraud. Employee GPS logging (optional). Reports generation. Webcams and 50+ fingerprint reader models supported.

Real-time precision face recognition and identification SDK for C++, C#, Objective C, VB, Java and Delphi. FaceSDK enables developers to build web, Windows, Linux, MacOS X, iOS and Android applications with face recognition functionality.

Real-time precision face recognition and identification SDK for C++, C#, Objective C, Swift, Java, VB, Delphi, Python. FaceSDK enables developers to build web, Windows, Linux, MacOS X, iOS and Android applications with face recognition functionality.