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Leading Technology

Deep Learning-Based Software

Cognex ViDi Suite

Deep learning-based industrial image analysis software for inspection and classification

Cognex ViDi Suite Specifications

Graphical & Application Programming Interfaces

  • Windows based graphical user interface (GUI) with plugin support
  • C library (Windows DLL / Linux shared object) for runtime and/or training
  • Microsoft .NET library (Wrapper for C library and WPF GUI components)

Hardware & OS Requirements

  • CPU: Intel Core i5 (minimum), Intel Core i7/Xeon (recommended)
  • Optional GPU: NVidia Graphic Card (CUDA compatible, compute capability ≥ 3.0) for training purposes, a minimum of 3GB graphic memory is recommended
  • RAM Memory: 4GB (minimum), 8GB (recommended)
  • 1 free USB port (for the license dongle)
  • OS: Windows 7 – 64 / Linux - Ubuntu 14.04 64bit LTS

Runtime License Support & Maintenance

Licenses are permanent and do not require maintenance or renewable fees. Cognex ViDi Suite comes with a free 12 months update and remote application engineering support.

Miscellaneous

  • Supported image file formats: PNG, BMP, TIFF, JPEG
  • Supported image properties: 1 - 4 channels, 8 or 16 bits
  • Cognex ViDi Suite GUI & documentation language: EN
  • Note: Cognex ViDi Suite performance - in terms of processing time - will depend upon hardware selection

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