Installing And Configuring MotionEyeOS


Today I wanted to go over installing and configuring MotionEyeOS using a PC with Linux Mint, an SD card, and a Raspberry Pi. You will also need a camera to use for motion detection, a display of some kind for the Raspberry Pi, an ethernet cable connected to your router, a way to read the SD card on your PC, and a power adapter for the Raspberry Pi (obviously). Let’s begin.

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Navigating Raspberry Pi


The overhead camera project has been shelved (for now) as the camera only has a battery of 3 hrs or so when on motion detection. Instead, this post is going to be an overview of the programs I’ll use on the Raspberry Pi 4 with Raspbian 10 Buster, as well as some things I think the makers could improve and things I think they are doing well. The above image is the home screen. If we look at the black box icon at the top and click on it we open a terminal.



Typing into the terminal with the “sudo” command reveals that a password is not required, even though I thought I had set an account password at the beginning. I’m not sure what that’s about but otherwise it seems to be a perfectly ordinary Linux terminal. I tried installing a couple of programs like Cheese and Gedit and they worked fine.

Moving on to programming if you click on the Applications menu (the top-left Raspberry Pi icon) and navigate to the “Programming” section you will find two programs for Python editing. The first one is called Mu and based on its initial appearance I like that one best.



The second program is called Thonny Python.

Please note I haven’t explored either of these and my opinion may change over time as to which is best. I will also explore the other programming tools as time goes on.

Other programs included LibreOffice (Applications -> Office -> LibreOffice Writer),


Task Manager (Applications -> Accessories -> Task Manager),


and a web browser.



Basically what I’m trying to say is the Raspberry Pi is a really cheap Linux box with some cool built-in programming tools.

There were a couple of glitches and I would like to see support for this improved in future Pi versions. First, I was not able to get my wireless mouse working well. I’m not sure if it was that particular mouse or if it’s wireless mice in general, but I had to borrow an older mouse. Second, I had to order a new camera because my usb camera wouldn’t work with the Pi.

Other than these two issues though the Pi runs smoothly and I just need to explore further to make good use of it. This week I’m going to experiment with a bit of python. After that I’m going to think of something fun to do with it.