Beckhoff Nominated for Best of Industry Award 2024
January 3, 2025
TwinCAT 3 Machine Learning Creator among the top 3 in the Artificial Intelligence category
Beckhoff is delighted to announce that they has been nominated for the Best of Industry Award 2024 in the Artificial Intelligence category. This prestigious award, presented by the Vogel Communications Group, honors outstanding innovations in the industry.
Their TwinCAT 3 Machine Learning Creator is one of the top 3 innovations in its category. Votes were open for 5 months, and over 20,000 votes were collected across 15 different categories. Beckhoff is proud to be among the finalists and would like to thank everyone who supported them by voting.
TwinCAT 3 Machine Learning Creator
The TwinCAT 3 Machine Learning Creator from Beckhoff is aimed at automation and process experts and adds automated AI model creation to the TwinCAT 3 workflow. This allows users to handle the entire process, from data collection to the trained model, for themselves – without any AI expertise of their own. The finished model is optimally adapted to real-time requirements in the control environment in terms of latency and accuracy.
The winners of the Best of Industry Award 2024 will be announced at an awards ceremony in Würzburg on January 16, 2025.
More Information
- Leverage AI effortlessly in industry without specialist knowledge
- Best of Industry Award
- Vogel Communications Group
Related Story
Beckhoff’s TF3820 | TwinCAT 3 Machine Learning Server
Beckhoff offers a solution for machine learning (ML) and deep learning (DL) that is seamlessly integrated in TwinCAT 3. The TF3820 TwinCAT 3 Machine Learning Server is a high-performance execution module (inference engine) for trained ML and DL models.
The inference engine is programmed classically in the PLC. From here, models can be loaded, the running hardware can be configured, and the inference executed. The model runs in an independent process of the operating system. There are almost no restrictions when it comes to the ML and DL models. From clustering models to image classification and object detection, the possibilities in the choice of models are extremely diverse.
