This blog will be a little bit different from what I usually write about but not entirely. I am very proud of the results of what I did and I would like to share them with you. It is not a secret that I work at Wrocław University of Science and Technology. Apart from my research duties, I also run classes with my students. However, we should start the story from the beginning, that is, in the year 2019. At the dawn of 2019 we had COVID-19 outbreak. It did a lot of change in our lives and daily duties which still ought to be carried out. From the perspective of my university there were a lot of challenges. The lectures could be moved to the digital world pretty easily; however, project or laboratory classes were not that easy to move. They strongly depend on human-to-human interaction, and additionally when you work with hardware, it is even more challenging. What I did and what I will describe below was a way to respond to these difficulties. It involves a lot of hardware and not a small dose of software development.Continue reading
Here you will find my recent contribution to LoRa drivers. This post describes the LoRa driver for a Raspberry Pi SBC (Single Board Computer). Additionally, a wrapper written in Python is available making it very easy to use and prototype. Raspberry Pi gets more and more attention. Adding LoRa communication enables it to communicate with IoT devices such as remote thermometers, soil moisture sensors and many more others. You can find HAT boards thatoffer a LoRa module. Here, I describe how to connect and how to use a low-cost LoRa RFM95W module. This particular module comes with different frequency options. However, this post describes the one which uses 868 MHz frequency.Continue reading
Recently, I have written an article Automatic router reboot device with Arduino where I have presented a simple Arduino–based solution to reset router periodically. Since this is not the best idea to reset it, even if it does not require resetting, I have applied purely software–based solution. As the title says I have used a Python script which runs on Raspberry Pi connected to a local network.
Many articles here and there describe how to use OpenCV on Raspberry Pi. However, most of them are about setting up the environment by hand — meaning compiling OpenCV from sources. There are two main disadvantages to this approach. Firstly, you have to spend some time to compile it. On Raspberry Pi 3 it takes quite some time, and not mentioning the earlier versions of this mini PC. Secondly, maintaining up–to–date version requires additional time. Still, you can go for middle ground — cross–compilation that requires less time but you have to set up the environment properly. Having above in mind I will introduce you to the OpenCV with Python interface installed from pre–compiled packages. If I have your attention keep reading 😉
IPython Notebook is a great Matlab-like/Mathematica-like thing. You can write and run scripts written in python by using a web browser only. This post describes how to set up IPython Notebook server.