If you’re planning to use a relay in your Raspberry Pi project you should check this video out.
This is a full step-by-step tutorial to set up a raspberry pi powered internet radio device, with push buttons as inputs to change channels and a 20×4 RGB LCD display to output the current station. This project relies heavily on a basic understanding of the Raspberry Pi’s GPIO.
OpenELEC makes it easy to turn a $35 Raspberry Pi into a solid home theater PC that can stream your media collection and while it isn’t free, we’ve got a way for you to stream Netflix and Amazon Instant Video!
Connect your Raspberry Pi to a breadboard, download some code and create a push-button audio play project.
Use a USB webcam and Computer Vision System Toolbox™ to detect faces within a video feed. The ThingSpeak™ IoT platform is used to track the number of people by transferring data to the cloud.
A theremin is an electronic musical instrument that can be played without physical contact. Raspberry Pi™ utilizes basic image processing algorithms to generate various tones through its onboard audio jack.
This webinar will show how you can use MATLAB and Simulink with an Internet of Things data collection platform. A car counter is implemented overlooking a busy highway using a Raspberry Pi 2 and a webcam. In this demonstration, Simulink is used to deploy the car-counting algorithm on the Raspberry Pi which is connected to the internet. The traffic can be analyzed offline with MATLAB or online using ThingSpeak (an IoT data collection platform) and its built-in MATLAB Analysis and MATLAB Visualizations apps.
This hands-on tutorial shows how to use Simulink® to program a Raspberry Pi 2 for image inversion. A stream of images are acquired from the Raspberry Pi Camera Board while the inverted image is being viewed in the Simulink environment. This video also shows how Simulink can tune parameters while your algorithm is running on the Raspberry Pi.
This hands-on tutorial shows how to use MATLAB® with Raspberry Pi 2 to acquire images and detect faces. You’ll learn how to use the Raspberry Pi Camera Board to bring images into MATLAB and use functions available in Computer Vision System Toolbox™ to detect faces on the images.