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In this hands-on workshop, participants will learn how to apply principles of AI (machine learning, deep learning, domain-specific preprocessing) to visual inspection workflows.

Join us for a transformative webinar on Predictive Maintenance with MATLAB and Simulink, exploring a captivating case study of a packaging machine. Discover how this innovative approach revolutionizes maintenance strategies, enhances efficiency, and leads to substantial cost savings

In this webinar, we learn of the application deployment tools and workflows that MATLAB users can employ to place their applications in the hands of their users. See how MATLAB Compiler tools allow you to create executables, host web apps and package your data in production servers.

MATLAB EXPO brings together engineers, researchers, and scientists to hear real-world examples, get hands-on demonstrations, and learn more about the latest features and capabilities of MATLAB and Simulink.

In this session we will discuss state-of-the-art approaches for visual inspection and present multiple case studies on how these approaches have been applied in industry.

Want to quickly and easily analyze UAV autopilot flight logs? Explore the Flight Log Analyzer Tool in MATLAB for customized plots and efficient analysis.

This webinar will provide a complete environment for the development of intelligent systems and the making of data-driven decisions. With MATLAB and Simulink, you can build models to use AI techniques such as deep learning, reinforcement learning, and evolutionary algorithms.

This session demonstrates an end-to-end MATLAB workflow for developing anomaly detection models in the context of a pill production quality control data set comprising a large collection of images. The objective is to verify the quality of pills using automated visual inspection techniques.

This presentation considers the alternative construction of the design space based on experiment data and a grey-box model of the reactions. The models are subsequently used to optimize the production process by changing the process variables. In addition, the effect of uncertainty and variability of the parameters on the process performance is also examined with a Monte-Carlo simulation.