In this post I am going to detail how to create a real time data pipeline for processing sensor data. First we will connect the sensor and create the code to read it. I will use the DHT22 temperature and humidity sensor on the Raspberry Pi Zero WH. Then we’ll setup the real time data flow with Python and RabbitMQ. Finally we will use Flask and D3.js to display the data in a live dashboard in a browser.
Configure the Kodi app
In this post we will learn how to develop a Kodi add-on in Python. You can run the add-on in OpenELEC or LibreELEC on the Orange Pi or Raspberry Pi, or as a matter of fact on any device that can run Kodi. The add-on will read data from various sources, such as an API for the current Bitcoin price, and show it on the main screen.
Install OpenCV on the Orange Pi
In this project I will show you how to capture images from a webcam, detect faces in those images, train a face recognition model and then try it out on video stream from a webcam. The code here can be the basis for many other projects that contain any element of personal authentication.