10 Best Practices for Machine Vision Design and Configuration

When designing and configuring a machine vision system for industrial automation, you need to achieve high levels of reliability and repeatability to see ROI over the lifetime of the system.

This can be more difficult than it seems. Part variation, light variation, part presentation variation and external influencers are all obstacles to achieving proper levels of reliability and repeatability.

So how can you overcome these obstacles and create a highly accurate machine vision system?

10 Execution Concepts for Machine Vision Design and Configuration

Design and configuration play a major role in the reliability and repeatability of your machine vision system. Consider the following 10 execution concepts to set yourself up for success in your automation project.

  1. Have a formal process for application analysis – account for your known obstacles to reliability and repeatability.
  2. Specify for success – what does success look like? How will you know when you get there?
  3. Spend 80% of your design time on imaging – this is the most important aspect of design and configuration and should receive most of your attention.
  4. Try before you buy – test equipment on your application before you purchase it.
  5. Design and modify for automated inspection – determine which ways you will need to customize your system for specific application needs. 
  6. Optimize for communication – your machine vision equipment needs to communicate data effectively to be reliable and repeatable.
  7. Use all of the tools – there are a lot of machine vision tools at your disposal to optimize automated inspection, not every one will be perfect for your application.
  8. Minimize end-user parameter adjustment – this ensures the system will work as described.
  9. Refine (not design) online – make sure the system is running properly before you put it online. It will be much more difficult to change design after it’s implemented.
  10. Test on a statistically significant sample set – ensure the test results you’re getting will reflect real-world applications.

Reliability and repeatability is key to the performance and value of a machine vision system in automation projects. There are many things you can do during design and configuration to set yourself up for success.


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