NEWS@IMAGING

Keeping you one step ahead

CVB Polimago plugin for Sherlock

29 Sep 2016

CVB Polimago, the newest tool of STEMMER IMAGING´s Common Vision Blox software library for vision professionals, is now available as a plugin for Teledyne DALSA’s Sherlock software.

CVB Polimago has shown excellent results in three main areas:

  1. As a search tool for finding variable targets. This can include variable appearance due to variable illumination or presentation to the camera.

  2. As a search tool to return the ‘pose estimation’ of an object. This allows an estimation of the 3D orientation of a target. It works best for objects that present a flat surface such as tiles.

  3. As a classification tool that learns and generalises from a training set. This allows variable objects to be identified based on a training set.

The CVB development team have now created a CVB Polimago plugin for Teledyne DALSA’s Sherlock software. By adding the plugin file to Sherlock’s plugin directory, CVB Polimago appears as an algorithm in Sherlock. This means that the power of CVB Polimago can be used by Sherlock users who appreciate the rapid application development that Sherlock offers, with no programming. Not a single line of code!

This is the latest in a series of CVB developments for Sherlock, including the CVB driver for Sherlock which increases the camera acquisition options for Sherlock as well as CVB Manto and CVB Flex Inspect plugins to allow users to leverage the power of CVB.

STEMMER IMAGING

Puchheim, Germany

STEMMER IMAGING has been leading the machine vision market since 1987. It is Europe's largest technology provider in this field. In 1997 STEMMER IMAGING presented Common Vision Blox (CVB), a powerful programming library for fast and reliable development and implementation of vision solutions, which has been deployed successfully throughout the world in more than 40,000 imaging applications in various industries.

CVB Polimago - Tool for fast and robust recognition of polymorphic objects
  • Position, rotation, scaling and tipping invariant pattern recognition
  • Fast execution speed for use in real time applications
  • Fully automatic generation of additional training images