How to use more than just the images in machine vision data

Machine vision inspection applications require the collection of a considerable amount of data, but that data often remains on the periphery of the manufacturing line. Silos containing images and data—including pass/fail status—can be scattered across the production line as though the only option is the most basic of traceability.

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Machine vision inspection applications require the collection of a considerable amount of data, but that data often remains on the periphery of the manufacturingline. Silos containing images and data—including pass/fail status—can be scattered across the production line as though the only option is the most basic of traceability.

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Data collected by vision systems can be lost, and this is data that can help improve inspection processes, as well as contribute to the fast resolution of quarantines and recalls. In a free webcast on June 16, Mathew Daniel, VP Operations, Sciemetric, will share strategies on how to apply Manufacturing 4.0 principles to this data and incorporate machine vision images into a broader view of your production line.

Topics will include:

  • Understand the types of data that are available but not typically collected
  • What to look for and how to use the data to improve the vision inspection application and to facilitate analysis for faster issue resolution
  • What to look for and how to use the data to improve the vision inspection application and to facilitate analysis for faster issue resolution
  • How to correlate data from machine vision systems and other processes
  • How to use vision data to diagnose issues faster in the Repair Bay
  • How to improve accuracy, traceability and repeatability

Webcast information:

Manufacturing 4.0 Data Management Principles for Machine Vision
Mathew Daniel, VP Operations, Sciemetric
June 16, 2017 11:00 EDT (Approximately one hour)

Click here to register >>>

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