Raspberry Pi Model B

I have a Raspberry PI 1 model B running almost non-stop for over 8 years (except during power outages) serving as my front gate controller. Custom python code uses the GPIO pins to trigger an RF remote to open or close the gate, and does not write to SD for logs/etc (to prevent SD wear) I use a USB network card, and a high-quality SD card. Other than that, no other special configs (except for another spare SD card with a full system image clone). Rock solid performance and uptime over 8 years.

Amazing news to see this! I made a Homemade Sports Ticker using a Model B almost 1.5 years ago and its still going strong. Here's a couple of links: * Blog post: https://medium.com/@mikemetral/a-homemade-sports-ticker-875c... * Code to write to LED Sign: https://github.com/metral/led_sign * Code to pull the scores: https://github.com/metral/scores * The LED sign itself: http://brightledsigns.com/programmable/indoor/bs-4x16-mini Fair Warning: I haven't touched the code in over a year so it's not maintained. If I were to do things today, I'd probably switch to Go to make the score requests a bit more streamlined than the single synchronous process I have now, and I would throw it into a container as the #1 request I get is people struggling to install both the code base and the dependencies. Happy Hacking!

I bought a few Geiger tubes about 10 years ago. The larger one is more sensitive, but doesn't detect beta radiation. The smaller one does alpha/beta/gamma, but it's less sensitive. When you buy the tubes, you don't get the benefit of a calibrated measurement device, so I also bought a few Cesium 137 calibration sources. (No idea what sort of government watch lists I ended up on after placing that order.) Next, I built a simple Geiger counter based upon a Raspberry Pi (Model B) and a Piface LCD display. I wanted to increase dynamic range of the measurements, so I did some circuit modifications to recharge the Geiger tube faster after an event. This allowed for higher counts, but consumes more power and lowers sensitivity. Also, getting the Pi to interrupt on each event for efficient counting has its limitations. A separate digital counter that is reset upon each read sample is better. Anyway, it's a rabbit hole that ended up taking a lot more time and effort than I expected, but I was happy with the results.

you'd be surprised to hear how many in this thread fall in that category. at the risk of sounding "back in my day"-ish, my first desktop as a kid was a refurbished server. i never used like its original intent, other than running xampp stack during occasional web dev. the "server" in question was actually an OG raspberry pi, which is still in service till date. that is all i could afford with space and money, and running it completely headless from day 1 had been a rollercoaster ride. aside: it has ironically become much harder to get hold of the latest pi despite a decade of developments.

My daughter just built her very own Raspberry Pi 4 based computer[0] last weekend for her 10th birthday. Key points: - She picked the components herself (with dad's supervision to make sure they would work together), so the case and keyboard and so on are ones she likes the look of and wants on her desk. - She assembled it all and installed the OS herself (again with dad supervising but trying really hard not to help except when requested), so I'm hoping she'll have a much stronger sense of ownership due to the Ikea effect[1]. Still too early to see how well it has worked, but she's been very excited about it so far and proud of her accomplishment. It's the 8Gb model and (as per dad's recommendation) she installed 64-bit Ubuntu on it, so she can use all the same systems and tools she sees her dad using. They are doing Scratch and Python in school, so the plan is for her to use it for at least those things, but she has shown interest in learning how to develop a mobile app, and I'm hoping it'll be a bit of a gateway for other potential interests like video editing, graphics editing etc. Also want to add that I wouldn't be doing any of this if she hadn't seemed genuinely interested - I have this theory that trying to push children in a certain direction will end up being counter-productive, i.e. you push and they rebel and end up wanting to go the opposite direction just because. [0] https://www.raspberrypi.com/products/raspberry-pi-4-model-b/ [1] https://en.wikipedia.org/wi

I own an original Raspberry Pi model B (still running 24/7 in a project) for which I was on the pre-order from one of the first few batches (I think I just missed out on the first 10,000 or so), I eventually purchased an upgraded model B with 512MB ram and then I instantly purchased the Pi 2. Very useful things, and the progress made is wonderful.

My absolute favorite has to be the Raspberry Pi 4 Model B combined with the Google Coral USB Accelerator. The processing power and versatility of the Raspberry Pi make it an ideal platform for many AI projects, and when you add the Coral USB Accelerator, you get the power of Google's Edge TPU, enabling efficient execution of machine learning models at the edge. This combination offers a nice balance of processing power and ease of use, making it suitable for both hobbyists and professionals looking to develop and test AI solutions without investing in heavy server setups. Moreover, the community support for both Raspberry Pi and Coral is excellent, which makes troubleshooting and experimenting with new ideas easier. Best of all, this setup won’t break the bank, making it a great way to get started with AI development without significant upfront investments.