Contents

NeuroCheck Compact  Data Sheet (150K)

FireCube Jr. Data Sheet (1M)

NeuroCheck Application Notes (2.5M)

NeuroCheck Features (320K)

Training Catalog, including course descriptions (115K)

Specifying and Ordering Guide for CVS-700 Vision Systems   A complete family of separate-camera vision systems powered by NeuroCheck.  It’s hardware choices and NeuroCheck engine combine to encompass nearly every imaginable hardware or software feature and capability.  Choices and variables include: include: NeuroCheck Version, operating system, processor speed, camera resolution, gray scale / color, interlaced/non-interlaced, area scan / line scan, camera enclosure type, image capturing and processing options, physical configuration enclosure type of CVP (central vision processor), discrete input type and quantity, discrete output type and quantity, data interface types, optional built-in displays, quantity of cameras, Ethernet port, oversized enclosure/slots/power supply for additional expandability, Profibus port, zip drive and other options.

New Features Data Sheet (1M)

NeuroCheck Triggering & Image Acquisition  (125K) Handout # SDOC-058-001 selected from FSI Machine Vision training course handouts.    Notes on programming and behavior of NeuroCheck with respect to acquisition of images and triggering.

Specular, Diffuse, Bright Field & Dark Field Lighting Basics (100K) Handout # SDOC-058-002 selected from FSI Machine Vision training course handouts.    Defines and illustrates the fundamentals of these lighting conditions, provides a brief introduction to their uses, and shows configurations that obtain and use them.

Machine Vision Gauging Accuracy Topics (100K) Publication # SDOC-058-003 provides information and recommendation in the most often-confused areas including: 

• The relation between machine vision accuracy and meeting part tolerances

• Mathematics of interpreting verification processes 

• How to specify and obtain measurements on imperfect geometric objects, when those definitions normally require ideal figures.