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FaceCell Embedded Development Kit

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Overview

FaceCell Embedded Development Kit is based on the FaceCell embedded facial recognition algorithm that is designed to be used in handheld devices with embedded cameras, such as PDAs or smart phones. FaceCell EDK includes libraries for Linux and Microsoft Windows Mobile on the ARM platform.

It is possible to use FaceCell technology on other platforms and with other operating systems by obtaining the FaceCell source code EDK. The FaceCell algorithm source code is written in ANSI C, thus it is easily portable.

These types of FaceCell 1.1 EDK are available:

Supported platforms Library EDK Source code EDK
ARM, MS Windows Mobile + +
ARM, Linux + +
FaceCell algorithm components
 • FaceCell 1.1 algorithm + +
 • FaceCell 1.1 algorithm source code   +
FaceCell programming samples and tutorials
 • C++ sample for MS Windows Mobile + +
 • C tutorials +  
Documentation
 • FaceCell 1.1 EDK documentation + +
 • FaceCell 1.1 source code documentation   +

FaceCell 1.1 Library EDK

FaceCell 1.1 Library EDK is intended for development projects using hardware based on ARM processors.

FaceCell 1.1 Library EDK includes these components:

  • MS Windows Mobile components
    • FaceCell 1.1 library (for Microsoft Visual Studio 2005 with SP1).
    • FaceCell programming sample in Visual C++ 2005 SP1.
    • FaceCell tutorials in C.
  • ARM Linux components
    • FaceCell 1.1 library (for ARM-Linux GCC C compiler).
    • FaceCell tutorials in C.
  • Documentation.

System requirements for FaceCell 1.1 Library EDK

  • ARM-based 400 MHz processor is recommended for face enrollment in less than two seconds. Supported ARM processor core families are: XScale, StrongArm, ARM11, ARM10, ARM9.
  • At least 8 Mb of memory for FaceCell code and data arrays.
  • ARM Linux (glibc 2.3.4 or later) or Microsoft Windows Mobile 2003 (or later) operating system
  • (Optional) Embedded camera with at least 320 x 240 pixels physical resolution (640 x 480 pixels recommended). The device must be running MS Windows Mobile 5 to use the embedded camera with the demo application.

FaceCell 1.1 EDK trial

Neurotechnology also offers FaceCell 1.1 EDK on a 30 day trial. The downloadable trial kit allows developers to explore the EDK's possibilities and to try it in real environments and real applications. FaceCell 1.1 EDK includes a fully functional programming sample for iPaq HW6915 and similar properties can be implemented for use on other devices.
Note: FaceCell 1.1 EDK trial requires constant Internet connection during evaluation.

The FaceCell 1.1 algorithm demo application for Microsoft Windows CE is also available for downloading.

FaceCell 1.1 source code EDK

FaceCell 1.1 source code EDK is intended for developers who are going to integrate facial recognition technology into a custom device.

FaceCell 1.1 source code EDK contains these components:

  • FaceCell 1.1 source code
    • Project for GCC compiler (ARM-Linux platform)
    • Project for Microsoft Visual Studio 2005 (Pocket PC 2003 and Pocket PC 2005* platforms)
  • FaceCell 1.1 Algorithm and Source Code Description
  • Sample applications:
    • Project for GCC compiler (ARM-Linux platform)
    • Project for Microsoft Visual Studio 2005 (Pocket PC 2003 and Pocket PC 2005* platforms)
  • FaceCell EDK developer's guide

*Pocket PC 2005 development requires Windows Mobile 5.0 SDK for Pocket PC.

System requirements:

  • ARM-based 400 MHz processor is recommended for face enrollment in less than two seconds. Supported ARM processor core families are: XScale, StrongArm, ARM11, ARM10, ARM9.
  • At least 8 Mb of memory for FaceCell code and data arrays.
  • ARM Linux (glibc 2.3.4 or later) or Microsoft Windows Mobile 2003 (or later) operating system
  • (Optional) Embedded camera with at least 320 x 240 pixels physical resolution (640 x 480 pixels recommended). The device must be running MS Windows Mobile 5 to use the embedded camera with the demo application.

Please note that FaceCell source code EDK could be easily ported to most other platforms and processors.

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