traffic – Internet of Things https://blogs.mathworks.com/iot Hans Scharler is an Internet of Things pioneer. He writes about IoT and ThingSpeak IoT platform features. Thu, 22 Feb 2018 22:37:36 +0000 en-US hourly 1 https://wordpress.org/?v=6.1.1 Explore your IoT data with ThingSpeak and MATLAB https://blogs.mathworks.com/iot/2016/03/25/explore-your-iot-data-with-thingspeak-and-matlab/?s_tid=feedtopost https://blogs.mathworks.com/iot/2016/03/25/explore-your-iot-data-with-thingspeak-and-matlab/#respond Fri, 25 Mar 2016 19:09:34 +0000 https://blogs.mathworks.com/iot/?p=1749

Loren Shure, a blogger at MATLAB Central, has written a new blog post about Eric Wetjen’s Counting Cars and Analyzing Traffic project. Eric uses a Raspberry Pi and webcam to capture traffic... read more >>

]]> Loren Shure, a blogger at MATLAB Central, has written a new blog post about Eric Wetjen’s Counting Cars and Analyzing Traffic project. Eric uses a Raspberry Pi and webcam to capture traffic data outside of the MathWorks headquarters in Natick, MA. All of the traffic data is stored on a public ThingSpeak channel, so you will be able to use it to learn data analysis with the built-in MATLAB Analysis and Visualizations apps in ThingSpeak.

MATLAB car counting display

Loren explores the data using MATLAB Analysis and MATLAB Visualizations app built into ThingSpeak.

Offline Analysis: Analyzing Data stored on ThingSpeak

If you have desktop MATLAB, you can gain even more insights into our traffic data or any of your ThingSpeak Channels. You need to first import the data from ThingSpeak into desktop MATLAB. To simplify the retrieval of the data from ThingSpeak, we use the functions from the ThingSpeak Support Toolbox, available on MATLAB Central File Exchange.

readChannelID = 38629;
readAPIKey = '8NPXB8G515OAD94Q';

%% Read Data %%
[data, time] = thingSpeakRead(readChannelID,'DateRange',[datetime('Mar 13, 2016'),datetime('Mar 14, 2016')],'ReadKey', readAPIKey);

[via Loren on the Art of MATLAB]

]]> https://blogs.mathworks.com/iot/2016/03/25/explore-your-iot-data-with-thingspeak-and-matlab/feed/ 0 Counting Cars and Analyzing Traffic https://blogs.mathworks.com/iot/2015/09/18/counting-cars-and-analyzing-traffic-with-thingspeak/?s_tid=feedtopost https://blogs.mathworks.com/iot/2015/09/18/counting-cars-and-analyzing-traffic-with-thingspeak/#comments Fri, 18 Sep 2015 21:05:59 +0000 https://blogs.mathworks.com/iot/?p=1509

The power of any tool becomes magnified when you start combing it with other tools. In this File Exchange project by Eric Wetjen, he demonstrates a powerful project by using a webcam to gather live... read more >>

]]> The power of any tool becomes magnified when you start combing it with other tools. In this File Exchange project by Eric Wetjen, he demonstrates a powerful project by using a webcam to gather live traffic video of Route 9 in Natick, MA, using Simulink to deploy a car-counting algorithm to a Raspberry Pi, using MATLAB to perform analysis, and using ThingSpeak to collect and share the analyzed data with others.

Car Counting Camera

The project uses a Raspberry Pi 2 and USB webcam acting as a sensor. The webcam picks up traffic flowing in both directions. Once the algorithm for detecting cars is modeled in Simulink, the algorithm gets deployed on the Raspberry Pi. The Raspberry Pi sends the raw data to ThingSpeak on regular basis where it is analyzed using the MATLAB Analysis app on ThingSpeak.

MATLAB_car_counting_display

After sending to ThingSpeak, Eric created a MATLAB Analysis app to calculate the daily traffic-volume on ThingSpeak Channel 51671. Now that the data is public, others could use this processed data within apps such as Waze to optimize directions using analyzed traffic flows.

MATLAB Traffic Analysis ThingSpeak Visualization

Check out the article for the complete project details and all of the code to get your Raspberry Pi + ThingSpeak analysis project started.

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