Implement IoT research projects quickly with built-in MATLAB data analysis tools and real-time sensor data collection
Build IoT applications to monitor energy usage, and develop MATLAB models for power signature identification and load forecasting
Cadmus used MATLAB and ThingSpeak to deploy a system of cloud-connected sensors for the near-real-time measurement and analysis of energy data. The system uses off-the-shelf hardware to monitor and analyze loads of HVAC systems and large appliances.
This project shows how to prototype and deploy an IoT system with data analytics without developing custom web software. Specifically, a tidal forecasting system that uses neural networks to predict the effect of wind on water levels is described.
This project shows how to build a traffic monitor with a Raspberry Pi and a webcam. Simulink is used to design and deploy an algorithm onto the Raspberry Pi that calculates the density of cars on a busy highway. The traffic information is sent to ThingSpeak, and MATLAB is used to analyze and visualize the traffic patterns.
This project shows how to build an Arduino-based weather station that sends data to ThingSpeak. Once the data is collected, MATLAB is used to view trends of the data, plot histograms of the data, calculate dew point from the raw temperature and humidity data, and create custom visualizations.