Beckhoff´s TwinCat 3 Vision Machine Learning offers an integrated machine learning (ML) solution for vision-specific use cases. Both the training and execution of the ML models take place in real time. The models can be used to learn complex data analyzes automatically. This can be used to replace complex, manually created program constructs. There are a variety of different classic ML models available, such as: B. the Support Vector Machine (SVM), Random Forest (RTrees), k-Means++ and Principal Component Analysis (PCA). These can be used for classification, regression, cluster analysis and anomaly detection. The ML functions can be seamlessly combined with other functions in the Vision library. In addition, the package offers methods for feature extraction and normalization. The expected market launch will take place in the 4th quarter of 2023.
