MATLAB EXPO 2017 SWITZERLAND

Demo Stations

New Regression Learner App in R2017a

New Regression Learner App in R2017a

MATLAB® enables domain experts (engineers and scientists) to do data science. The Regression Learning app makes it easy to get started fitting regression models—a common task in machine learning. The app makes it easy to:

  • Get started with regression machine learning problems
  • Quickly compare models and choose the best one
  • Generate MATLAB code

Creating a Cloud-Based People Counter Using MATLAB

Creating a Cloud-Based People Counter Using MATLAB

Learn how to use MATLAB to create a cloud-based people counter. This demo uses a USB webcam and Computer Vision System Toolbox™ to detect faces within a video feed. The ThingSpeak Internet of Things (IoT) platform is used to track the number of people by transferring data to the cloud.

Visit this showcase area to see and discuss how MATLAB is used to:

  • Perform real-time object recognition with live video acquisition
  • Track features in a video and count the number of occurrences
  • Create a cloud-based visualization updated with live data

Model-Based Design of a Motor Controller for Xilinx Zynq SoCs

Model-Based Design of a Motor Controller for Xilinx Zynq SoCs

From model to FPGA system-on-chip (SoC), see the implementation of a motor regulation-algorithm on a heterogeneous SoC made of an FPGA and an ARM®9 processor through IP core generation workflows and automatic HDL- and C-code generation. This demo is based on a Xilinx® ZedBoard™ using an Analog Devices® motor control FMC board, and it runs a field-oriented controller (FOC) for a permanent magnet synchronous machine (PMSM).

Visit this showcase area to see and discuss how MATLAB is used to:

  • Reduce dependency on hardware with simulation
  • Avoid implementation errors with C- and HDL-code generation
  • Perform faster hardware iterations with deployment automation

Virtual Commissioning and Verification of a Manufacturing Cell

Virtual Commissioning and Verification of a Manufacturing Cell

Virtual commissioning and early design verification are key processes in today’s automation industry. Explore a model of a manufacturing cell to learn how you can combine your existing CAD models with mechatronic actuators to confidently make component sizing decisions. A robot arm with 5 degrees of freedom transfers parts between two conveyor belts. The model is used to determine mechanical loads, size motors, and determine overall power requirements. Optimization algorithms are used determine optimal trajectories that minimize power consumption. Model-Based Design does not stop at pure simulation: see how you can use the model to produce fully verified supervisory algorithms ready to be deployed through automatic code generation in embedded environments. Visit this demo to learn how to:

  • Increase productivity by importing and reusing CAD models in Simulink
  • Quickly model and integrate complex multidomain physical systems
  • Reduce time-to-market by using simulation and automatic code generation