Manufacturing 4.0 Data Management Principles for Machine Vision

This webcast was originally broadcast on June 16th, 2017 and is now available for on demand viewing.


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Webcast Description:

Machine vision data remains on the periphery of the manufacturing line. Silos containing images -- and maybe pass/fail status -- are scattered across the production line as though the only option is the most basic of traceability. Data collected by the cameras and vision system applications is being lost – data that can help improve the inspection process as well as contribute to the fast resolution of quarantines and recalls.

This webinar 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 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

Presented by:


Mathew Daniel
VP Operations
Sciemetric

Mathew Daniel is the is the vice president of operations at Sciemetric Instruments, managing service and installation, product development and manufacturing and quality. Mat oversees many of the manufacturing data and analytics implementations provided by Sciemetric to global manufacturers, helping them get more value from their production part data.

 
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