TwinCAT Machine Learning Creator Helps Simplify AI Model Training

Pepperl+Fuchs' latest TwinCAT Machine Learning Creator is aimed at automation and process control specialists.

The new TwinCAT Machine Learning Creator is aimed at automation and process control specialists and adds the ability to automatically create and train AI models to TwinCAT 3 workflows.

This allows users to complete the entire process from data collection to model training on their own, without having to have any AI expertise.

The trained models are well adapted to the real-time requirements of the control environment in terms of latency and accuracy.

TwinCAT Machine Learning Creator enables fully automated training of large AI models for industrial applications.

One of the main applications for the AI technology of the TwinCAT Machine Learning Creator (TE3850) is in the field of quality control based on image processing.

In these applications, users can use our no-code development platform to create AI models easily and standardized and automate all workflows.

It not only utilizes open standard interfaces, AI best practices, but also provides final models in ONNX format with training completed.

These AI models have been tuned for latency for control applications and are specifically designed to run on Peifu industrial PCs with TwinCAT installed.

Of course, they can also be used as ONNX models for non-Beifuku products.

With the automated AI model creation functionality provided by the TwinCAT Machine Learning Creator.

All companies, including micro and small businesses, can now utilize the potential of AI to increase their competitive advantage and address the growing shortage of highly skilled personnel.

For seasoned AI experts, the solution can greatly simplify their workload while minimizing the possibility of errors.

Another clear advantage of this AI application development tool is its ability to accelerate the project development process.

It is able to present the behavior of the created AI models and compare them with each other using a comprehensive and informative transparent approach.

In addition, it is able to automatically generate reports and therefore supports auditing of AI model creation.

Another important aspect is that the required specialized program data can be properly protected and all data is kept within the enterprise.