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.
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.
In my previous IoT project on the Orange Pi I showed how to read a DHT22 or a DHT11 temperature and humidity sensor. That project involved connecting the sensor to the GPIO pins and writing C code to read the sensor. In this example I will show you how do the same, but using Python code instead.
Very often as part of an Orange Pi or Raspberry Pi project involving sensors, it is useful to store the sensor data in some kind of way or another. A good way to store the data is in a database that you can manage and query. SQLite is a popular embedded database management system. SQLite comes in the form of a C library. Due to it’s low footprint on resources, it fits well with a device such as a Raspberry Pi or the Orange Pi.
In this tutorial I will show you how to build a simple web app using Flask for the server side scripting and D3.js for the data visualization.
In this post I will show you how to install MySQL sever on the Raspberry Pi or on an Orange Pi Plus 2e. Furthermore I will show you how to read and write data from Python to a MySQL database using SQLAlchemy.