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 you can prototype and deploy an IoT system with data analytics without developing custom web software. We create a tidal forecasting system that uses neural networks to predict the effect of wind on water levels.
Using a webcam and a Raspberry Pi device, we built a car counter and aimed it at a busy highway. We deployed a car-counting algorithm to the Raspberry Pi and used ThingSpeak and MATLAB to analyze and visualize the traffic patterns.
We built our own Arduino-based weather station and hooked it to ThingSpeak to collect and store weather data. One year later, we share how to deal with bad data and how to analyze and visualize data using ThingSpeak and MATLAB.
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