TwinCAT Machine Learning
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Download Other Network Card drivers, firmware, bios, tools, utilities. 4,198 drivers total Last updated: Jan 9th 2021, 14:11 GMT RSS Feed. Latest downloads from Other in Network Card. Sort by: last update. Gigabyte X570 AORUS XTREME (rev. 1.1) Aquantia LAN. Table of contents 6 Version: 2.10TE1000 5.8.1Window. Jan 26, 2021 The new CX20x3 Embedded PCs expand the Beckhoff Industrial PC portfolio with devices that include AMD Ryzen processors. This powerful hardware is ideal for 32-bit and 64-bit systems, namely TwinCAT 2 and TwinCAT 3 automation software. Users can select from Microsoft Windows 10 IoT Enterprise 2019 LTSC or the new TwinCAT/BSD operating system.
TwinCAT Machine Learning: Scalable, open and in real time
TwinCAT Machine Learning: scalable, open and in real-time
TwinCAT Machine Learning: Scalable, open and in real time
TwinCAT Machine Learning: scalable, open and in real-time
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Beckhoff offers a machine learning (ML) solution that is seamlessly integrated into TwinCAT 3. Building on established standards, it brings to ML applications the advantages of system openness familiar from PC-based control. In addition, the TwinCAT solution supports the execution of the machine learning models in real time. Its capabilities provide machine builders with an optimum foundation for enhancing machine performance.
The TF3810 TwinCAT 3 function is a high-performance execution module (inference machine) for trained neural networks. The neural networks are trained in established frameworks such as PyTorch, TensorFlow or MATLAB®. The information of the learned network is loaded to the inference machine as a description file. The standardized exchange format Open Neural Network Exchange (ONNX) is supported, so that the worlds of automation and data science merge seamlessly.
The execution module (ML runtime) can be called in TwinCAT 3 from the PLC, from C++ and via a cyclic task. The neural network is executed directly on the machine controller in the TwinCAT real-time cycle.
An example of a neural network is the Multi-Layer Perceptron (MLP). This can be used for the prediction of arbitrary variables. Example applications are residual lifetime prediction, sensor fusion, product quality prediction or automatic machine parameter tuning.
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Product information
| Technical data | TF3810 |
|---|---|
| Required | TC1000 |
| Includes | TF3800 |
| Operating system | Windows 7, Windows 10 |
| Ordering information | |
|---|---|
| TF3810-0v40 | TC3 Neural Network Inference Engine, platform 40 (Performance) |
| TF3810-0v50 | TC3 Neural Network Inference Engine, platform 50 (Performance Plus) |
| TF3810-0v60 | TC3 Neural Network Inference Engine, platform 60 (Mid Performance) |
| TF3810-0v70 | TC3 Neural Network Inference Engine, platform 70 (High Performance) |
| TF3810-0v80 | TC3 Neural Network Inference Engine, platform 80 (Very High Performance) |
| TF3810-0v81 | TC3 Neural Network Inference Engine, platform 81 (Many-core 5…8 Cores) |
| TF3810-0v82 | TC3 Neural Network Inference Engine, platform 82 (Many-core 9…16 Cores) |
| TF3810-0v83 | TC3 Neural Network Inference Engine, platform 83 (Many-core 17…32 Cores) |
| TF3810-0v84 | TC3 Neural Network Inference Engine, platform 84 (Many-core 33…64 Cores) |
| TF3810-0v90 | TC3 Neural Network Inference Engine, platform 90 (Other) |
| TF3810-0v91 | TC3 Neural Network Inference Engine, platform 91 (Other 5…8 Cores) |
| TF3810-0v92 | TC3 Neural Network Inference Engine, platform 92 (Other 9…16 Cores) |
| TF3810-0v93 | TC3 Neural Network Inference Engine, platform 93 (Other 17…32 Cores) |
| TF3810-0v94 | TC3 Neural Network Inference Engine, platform 94 (Other 33…64 Cores) |
We recommend using a TwinCAT 3 license dongle for platform levels 90-94.
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