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FingerCell EDK Trial

FingerCell EDK Trial 2.0

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. Download FingerCell EDK Trial by Neurotechnologija

Screenshot of FingerCell EDK Trial
Publisher: Neurotechnologija
License: Demo
Price: USD $1069.00
Filesize: 1.5 MB
Date Added: 07/05/2007

30 day embedded SDK trial, allows developers to explore the SDK's possibilities and to try it in real environments and real applications.
Includes algorithm library, C/C++ programming samples, scanner drivers for Linux. Integration into ARM-based devices with ARM Linux or MS Windows Mobile.
Constant internet connection required during evaluation.

Commercial EDK types available:
the kit with ready-to-use hardware device for fast development,
the kit with algorithm library for ARM developers,
the kit with algorithm full source code for large-scale development using ARM-based or other embedded hardware.

For more information please review our web site or contact us.

Platform: Linux, Windows CE, Pocket PC, Windows Mobile 2003,Windows Mobile 2005

Category: Software Development


Download | Homepage | Buy Now | Screenshot | Report Error

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More Software of "Neurotechnologija"

FaceCell EDK Trial - Embedded face identification SDK, 30 day trial. Includes library, C++ programming samples and tutorials for ARM Linux and Windows Mobile driven handheld PC, PDA or smart phone with camera. Constant internet connection required during trial.
MegaMatcher SDK Trial - MegaMatcher SDK is intended for large-scale AFIS or multi-biometric face-fingerprint identification system development on Linux or Windows. Includes single server and matching cluster. Matches rolled fingerprints. Trial requires Internet connection.
VeriFinger Algorithm Demo for MS Windows - Demo application enrolls and identifies fingerprints from supported fingerprint scanners or image file, and can calculate ROC with custom fingerprint databases. Fingerprint recognition technology and software for PC and Mac.
VeriFinger Extended SDK Trial - 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.
VeriFinger Standard SDK (Linux Demo) - Fingerprint idetification SDK with client/server ActiveX components. Supports Windows and Linux. Includes drivers for major fingerprint scanners and sensors. C, C++, C#, VB, VB .NET, Java, Delphi samples. Libraries and source code available.
VeriFinger Standard SDK Trial - Multiplatform fingerprint identification SDK. Supports more than 20 major fingerprint scanners and sensors. Includes programming samples: C, C++, C#, Sun Java 2, Visual Basic 6, VB .NET, VBA, Delphi 6. The trial requires constant internet connection.
VeriLook Standard SDK Trial - Webcam capable multiplatform face identification SDK can be used with most cameras and webcams on Windows, Linux and Mac OS X. Includes programming samples: C, C++, C#, Visual Basic 6, VB .NET and VBA. The trial requires constant internet connection.
FingerCell Standard EDK (Linux Demo) - A kit for embedded/PC biometrical system development with third-party hardware. Includes 2 licenses for FingerCell library (for PC and embedded device), drivers for image input from fingerprint sensors, sample apps with source code and documentation.
FingerCell Standard EDK (Windows Demo) - A kit for embedded/PC biometrical system development with third-party hardware. Includes 2 licenses for FingerCell library (for PC and embedded device), drivers for image input from fingerprint sensors, sample apps with source code and documentation.
VeriLook Standard SDK (Demo for Linux) - The SDK is based on the VeriLook PC-based face identification technology. It can be used with most cameras, webcams and databases on Linux or Windows. Simultaneous multiple faces' detection, processing and identification up to 80,000 faces/second
 

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