How to Develop a Low-Cost, Open Source Machine Learning Solution Using Ignition

The benefits of applying machine learning in complex industrial systems can be immense, and Enuda has found an open-source approach using Ignition that can give the benefits of ML at a low cost. In this session, you'll learn how they did it by exploring their considerations, testing (and failures), as well as why they decided on using a combination of Docker, Flask framework, and Ignition to create their solution. The session will include an example using the chosen environment for a practical case, and advice on how to get started with machine learning and Ignition.

Increasing Efficiency With OEE

Improve your understanding of Overall Equipment Effectiveness (OEE) basics and concepts along with the human factors that must be considered when implementing OEE.