Time lapse over a Finnish lake from July 2019. Shot with a DIY all-weather HDR time-lapse camera built from ZWO ASI 224MC and Raspberry Pi 3. The camera was built to function as an all-sky camera for recording the night sky year round but since in July the stars were not visible in Finland I decided to test it aimed horizontally over a lake and was positively surprised about the results.
Time-lapse over a Finnish lake from July 2019. Shot with a DIY all-weather HDR time-lapse camera built from ZWO ASI 224MC and Raspberry Pi 3.
Filmed over 6 days using a Raspberry Pi Zero W and Raspberry Pi Camera. Once photo taken every 5 minutes and then played back at 24 fps. I removed the night time photos and then the images were stitched together using the ‘Stop Motion’ app on an iPhone.
Filmed over 6 days using a Raspberry Pi Zero W and Raspberry Pi Camera. Once photo taken every 5 minutes and then played back at 24 fps.
Timelapse about salad growth. Period of Picture Making: 03-04 to 02-05-2016 Camera has shot 2087 pictures in a distance of 20 minutes. Camera: Raspberry Pi Camera Module Music: Valesco – Stay With Me: http://soundcloud.com/valesco_official/stay-with-me Valesco on Soundcloud: http://soundcloud.com/valesco_official My Links: Website: https://pimeetsplants.com Twitter: https://twitter.com/PiMeetsPlants Google+: https://plus.google.com/+Pimeetsplants
I think I have a thing for time-lapse videos of plant growth. They’re just so friggin’ cool!
More info : https://www.sainsmart.com/products/wide-angle-fov160-5-megapixel-camera-module-for-raspberry-pi FOLLOW US Twitter: https://twitter.com/Sain_Smart Facebook: https://www.facebook.com/SainSmart/ Instagram: https://www.instagram.com/sainsmart/
Given that we had access to a bunch of Raspberry Pis, we thought that we should use some of them to get some timelapse footage of the shop being set up. Read more about the Raspberry Pi shop on our blog: http://rpf.io/ytstoreblog
We couldn’t help ourselves. When the time came to set up the Raspberry Pi retail store in Cambridge, we just had to install a time-lapse camera in the corner.
While this time lapse wasn’t taken with a Raspberry Pi Camera Module, the slider moving the camera was controlled using Raspberry Pi. That counts, right?
The Burren is a karst landscape region in north-west Co. Clare in Ireland. It is one of the largest karst regions in Europe. I have been photographing The Burren over the last 5 years, and recently got into time lapse photography. The Burren was an obvious place for me to do this first video.
The Burren is a karst landscape region in north-west Co. Clare in Ireland. It is one of the largest karst regions in Europe. I have been photographing The Burren over the last 5 years, and recently got into time-lapse photography. The Burren was an obvious place for me to do this first video.
Want to set up your own Raspberry Pi time-lapse camera? Our handy guide shows you how.
Do you have a time-lapse video you’d like to share with us? Then please post your link in the comments below.
Hi folks, Rob from The MagPi here! A few weeks ago, we asked you to vote on your top 50 favourite Raspberry Pi projects from the last two-or-so years. We had thousands of responses, but there was one clear winner…and you can find out who that was in issue 75 of The MagPi, out tomorrow in stores, and available today online!
See who you folks voted for…
You heard right, the magazine is available a day early to download and buy online! Don’t say we never spoil you.
The community has voted
As well as counting down your 50 favourites, we’ve also got 25 other amazing projects selected by Eben Upton, Philip Colligan, Carrie Anne Philbin, and others!* Is your favourite project on the list?
We don’t want to spoil the surprise — you’ll have to get the magazine to read the whole thing!
And there’s so much more!
On top of community favourites, we bring you a lot more in issue 75. This month we have a big feature on using the Raspberry Pi Camera Module, we show you ten of our favourite starter kits, and we also have a guide on building a secret radio chat device.
Want to use the new Raspberry Pi TV HAT? We show you how.
All this along with news, reviews, community features, and competitions!
See what we saw at Maker Faire New York!
Get The MagPi 75
You can get The MagPi 75 tomorrow from WHSmith, Tesco, Sainsbury’s, and Asda. If you live in the US, head over to your local Barnes & Noble or Micro Center in the next few days for a print copy. However, you can get the new issue online today! Check it out on our store, or digitally via our Android or iOS apps. And don’t forget, there’s always the free PDF.
Rolling subscription offer!
Want to support the Raspberry Pi Foundation and the magazine? You can now take out a monthly £5 subscription to the magazine, effectively creating a rolling pre‑order system that saves you money on each issue.
You can also take out a twelve-month print subscription and get a Pi Zero W plus case and adapter cables absolutely free! This offer does not currently have an end date.
Thanks for sticking with The MagPi for 75 issues! Here’s to hundreds more.
Warning: a GIF used in today’s blog contains flashing images.
Students at the University of Bremen, Germany, have built a wearable camera that records the seconds of vision lost when you blink. Augenblick uses a Raspberry Pi Zero and Camera Module alongside muscle sensors to record footage whenever you close your eyes, producing a rather disjointed film of the sights you miss out on.
Blink and you’ll miss it
The average person blinks up to five times a minute, with each blink lasting 0.5 to 0.8 seconds. These half-seconds add up to about 30 minutes a day. What sights are we losing during these minutes? That is the question asked by students Manasse Pinsuwan and René Henrich when they set out to design Augenblick.
Blinking is a highly invasive mechanism for our eyesight. Every day we close our eyes thousands of times without noticing it. Our mind manages to never let us wonder what exactly happens in the moments that we miss.
Capturing lost moments
For Augenblick, the wearer sticks MyoWare Muscle Sensor pads to their face, and these detect the electrical impulses that trigger blinking.
Two pads are applied over the orbicularis oculi muscle that forms a ring around the eye socket, while the third pad is attached to the cheek as a neutral point.
Biology fact: there are two muscles responsible for blinking. The orbicularis oculi muscle closes the eye, while the levator palpebrae superioris muscle opens it — and yes, they both sound like the names of Harry Potter spells.
The sensor is read 25 times a second. Whenever it detects that the orbicularis oculi is active, the Camera Module records video footage.
Pressing a button on the side of the Augenblick glasses set the code running. An LED lights up whenever the camera is recording and also serves to confirm the correct placement of the sensor pads.
The Pi Zero saves the footage so that it can be stitched together later to form a continuous, if disjointed, film.
Learn more about the Augenblick blink camera
You can find more information on the conception, design, and build process of Augenblickhere in German, with a shorter explanation including lots of photos here in English.
Naturebytes are making their weatherproof Wildlife Cam Case available as a standalone product for the first time, a welcome addition to the Raspberry Pi ecosystem that should take some of the hassle out of your outdoor builds.
Weatherproofing digital making projects
People often use Raspberry Pis and Camera Modules for outdoorprojects, but weatherproofing your set-up can be tricky. You need to keep water — and tiny creatures — out, but you might well need access for wires and cables, whether for power or sensors; if you’re using a camera, it’ll need something clear and cleanable in front of the lens. You can use sealant, but if you need to adjust anything that you’ve applied it to, you’ll have to remove it and redo it. While we’ve seen a few reasonable options available to buy, the choice has never been what you’d call extensive.
The Wildlife Cam Case is ideal for nature camera projects, of course, but it’ll also be useful for anyone who wants to take their Pi outdoors. It has weatherproof lenses that are transparent to visible and IR light, for all your nature observation projects. Its opening is hinged to allow easy access to your hardware, and the case has waterproof access for cables. Inside, there’s a mount for fixing any model of Raspberry Pi and camera, as well as many other components. On top of all that, the case comes with a sturdy nylon strap to make it easy to attach it to a post or a tree.
Order yours now!
At the moment, Naturebytes are producing a limited run of the cases. The first batch of 50 are due to be dispatched next week to arrive just in time for the Bank Holiday weekend in the UK, so get them while they’re hot. It’s the perfect thing for recording a timelapse of exactly how quickly the slugs obliterate your vegetable seedlings, and of lots more heartening things that must surely happen in gardens other than mine.
Michael Portera‘s trading card scanner uses LEGO, servo motors, and a Raspberry Pi and Camera Module to scan Magic: The Gathering cards and look up their prices online. This is a neat and easy-to-recreate project that you can adapt for whatever your, or your younger self’s, favourite trading cards are.
For those of you who aren’t this nerdy [Janina is 100% this nerdy – Ed.], Magic: The Gathering (or MTG for short) is a trading card game first launched in 1993. It’s based on a sprawling fantasy multiverse storyline, and is very heavy on mechanics — the current comprehensive rules fill 228 pages! You can imagine it as being a bit like Dungeons and Dragons, with less role-playing and more of a chess vibe. Unlike in chess, however, you can beat your MTG opponent in one turn with just the right combination of cards. If that’s your style of play, that is.
Scanning trading cards
So far, there are around 20000 official MTG cards, and, as with other types of trading cards, some of them are worth a lot of money.
Michael is one of the many people who were keen MTG players in their youth. Here’s how he came up with his project idea:
I was really into trading cards as a kid. I recently came across a lot of Magic: The Gathering cards in a box and thought to myself — I wonder how many cards I have and how much they’re worth?! Logging and looking these up manually would take a while, so I decided to see if I could automate some of the process. Somehow, the process led to building a platform out of Lego and leveraging AWS S3 and Rekognition.
LEGO, servos and camera
To build the housing of the scanner, Michael used LEGO, stating “I’m not good at wood working, and I thought that it might be rough on the cards.” While he doesn’t provide a build plan for the housing, Michael only used bricks from in the LEGO Medium Creative Brick Box he bought for the project. In addition, his tutorial includes a lot of pictures to guide you.
Servo motors spin plastic wheels to move single cards from a stack set into the scanner. Michael positioned a Raspberry Pi Camera Module so that it can take a picture of the title of each card as it is set before the lens. The length of the camera’s ribbon cable gave Michael a little difficulty, so he recommends getting an extension for it if you’re planning to recreate the build.
Optical character recognition and MTG card price API
On the software side, Michael wrote three scripts. One is a Python script to control the servos and take pictures. This, he says, “[records] about 20–25 cards a minute.”
Another script identifies the cards and looks up their prices automatically. Michael tried out OpenCV and Tesseract for optical character recognition (OCR) first, before settling on AWS S3 and Rekognition for storing and processing images, respectively. You’ll need an AWS account to do this — Michael used the free tier, which he says allows him to process 5000 pictures per month.
A sizeable collection
Finally, the data that Rekognition sends back gets processed by another Python script that looks up the identified cards on the TCGplayer API to find their price.
Michael says he’s very satisfied with the accuracy of the project’s OCR. He found out that the 920 Magic: The Gathering cards he scanned are worth about $275 in total. He provides a full write-up plus code over on hackster.io.
And for my next trick…
You might be thinking what I’m thinking: the logical next step for this project is to turn it into a card sorter. Then you could input a list of the card deck you want to put together, and presto! The device picks out the right cards from your collection. Building a Commander deck just became a little easier!
What trading cards would you use this project with, and how would you extend it? Also, what’s your favourite commander? Let me know in the comments!
This video demos a real-like Pokedex, complete with visual recognition, that I created using a Raspberry Pi, Python, and Deep Learning. You can find the entire blog post, including code, using this link: https://www.pyimagesearch.com/2018/04/30/a-fun-hands-on-deep-learning-project-for-beginners-students-and-hobbyists/ Music credit to YouTube user “No Copyright” for providing royalty free music: https://www.youtube.com/watch?v=PXpjqURczn8
The history of Pokémon in 30 seconds
The Pokémon franchise was created by video game designer Satoshi Tajiri in 1995. In the fictional world of Pokémon, Pokémon Trainers explore the vast landscape, catching and training small creatures called Pokémon. To date, there are 802 different types of Pokémon. They range from the ever recognisable Pikachu, a bright yellow electric Pokémon, to the highly sought-after Shiny Charizard, a metallic, playing-card-shaped Pokémon that your mate Alex claims she has in mint condition, but refuses to show you.
In the world of Pokémon, children as young as ten-year-old protagonist and all-round annoyance Ash Ketchum are allowed to leave home and wander the wilderness. There, they hunt vicious, deadly creatures in the hope of becoming a Pokémon Master.
Adrian’s deep learning Pokédex
Adrian is a bit of a deep learning pro, as demonstrated by his Santa/Not Santa detector, which we wrote about last year. For that project, he also provided a great explanation of what deep learning actually is. In a nutshell:
…a subfield of machine learning, which is, in turn, a subfield of artificial intelligence (AI).While AI embodies a large, diverse set of techniques and algorithms related to automatic reasoning (inference, planning, heuristics, etc), the machine learning subfields are specifically interested in pattern recognition and learning from data.
As with his earlier Raspberry Pi project, Adrian uses the Keras deep learning model and the TensorFlow backend, plus a few other packages such as Adrian’s own imutils functions and OpenCV.
Adrian trained a Convolutional Neural Network using Keras on a dataset of 1191 Pokémon images, obtaining 96.84% accuracy. As Adrian explains, this model is able to identify Pokémon via still image and video. It’s perfect for creating a Pokédex – an interactive Pokémon catalogue that should, according to the franchise, be able to identify and read out information on any known Pokémon when captured by camera. More information on model training can be found on Adrian’s blog.
For the physical build, a Raspberry Pi 3 with camera module is paired with the Raspberry Pi 7″ touch display to create a portable Pokédex. And while Adrian comments that the same result can be achieved using your home computer and a webcam, that’s not how Adrian rolls as a Raspberry Pi fan.
Plus, the smaller size of the Pi is perfect for one of you to incorporate this deep learning model into a 3D-printed Pokédex for ultimate Pokémon glory, pretty please, thank you.
Adrian has gone into impressive detail about how the project works and how you can create your own on his blog, pyimagesearch. So if you’re interested in learning more about deep learning, and making your own Pokédex, be sure to visit.
After the outstanding success of their AIY Projects Voice and Vision Kits, Google has announced the release of upgraded kits, complete with Raspberry Pi Zero WH, Camera Module, and preloaded SD card.
Google’s AIY Projects Kits
Google launched the AIY Projects Voice Kit last year, first as a cover gift with The MagPi magazine and later as a standalone product.
Makers needed to provide their own Raspberry Pi for the original kit. The new kits include everything you need, from Pi to SD card.
Within a DIY cardboard box, makers were able to assemble their own voice-activated AI assistant akin to the Amazon Alexa, Apple’s Siri, and Google’s own Google Home Assistant. The Voice Kit was an instant hit that spurred no end of maker videos and tutorials, including our own free tutorial for controlling a robot using voice commands.
Later in the year, the team followed up the success of the Voice Kit with the AIY Projects Vision Kit — the same cardboard box hosting a camera perfect for some pretty nifty image recognition projects.
For more on the AIY Voice Kit, here’s our release video hosted by the rather delightful Rob Zwetsloot.
Check out the exclusive Google AIY Projects Kit that comes free with The MagPi 57! Grab yourself a copy in stores or online now: http://magpi.cc/2pI6IiQ This first AIY Projects kit taps into the Google Assistant SDK and Cloud Speech API using the AIY Projects Voice HAT (Hardware Accessory on Top) board, stereo microphone, and speaker (included free with the magazine).
AIY Projects 2
So what’s new with version 2 of the AIY Projects Voice Kit? The kit now includes the recently released Raspberry Pi Zero WH, our Zero W with added pre-soldered header pins for instant digital making accessibility. Purchasers of the kits will also get a micro SD card with preloaded OS to help them get started without having to set the card up themselves.
Everything you need to build your own Raspberry Pi-powered Google voice assistant
“Everything you need to get started is right there in the box,” explains Billy Rutledge, Google’s Director of AIY Projects. “We knew from our research that even though makers are interested in AI, many felt that adding it to their projects was too difficult or required expensive hardware.”
Google is also hard at work producing AIY Projects companion apps for Android, iOS, and Chrome. The Android app is available now to coincide with the launch of the upgraded kits, with the other two due for release soon. The app supports wireless setup of the AIY Kit, though avid coders will still be able to hack theirs to better suit their projects.
Google has also updated the AIY Projects website with an AIY Models section highlighting a range of neural network projects for the kits.
Get your kit
The updated Voice and Vision Kits were announced last night, and in the US they are available now from Target. UK-based makers should be able to get their hands on them this summer — keep an eye on our social channels for updates and links.
Spring has sprung, and with it, sleepy-eyed wildlife is beginning to roam our gardens and local woodlands. So why not follow hackster.io maker reichley’s tutorial and build your own solar-powered squirrelhouse nature cam?
“I live half a mile above sea level and am SURROUNDED by animals…bears, foxes, turkeys, deer, squirrels, birds”, reichley explains in his tutorial. “Spring has arrived, and there are LOADS of squirrels running around. I was in the building mood and, being a nerd, wished to combine a common woodworking project with the connectivity and observability provided by single-board computers (and their camera add-ons).”
Building a tiny home
reichley started by sketching out a design for the house to determine where the various components would fit.
Since he’s fan of autonomy and renewable energy, he decided to run the project’s Raspberry Pi Zero W via solar power. To do so, he reiterated the design to include the necessary tech, scaling the roof to fit the panels.
To keep the project running 24/7, reichley had to figure out the overall power consumption of both the Zero W and the Raspberry Pi Camera Module, factoring in the constant WiFi connection and the sunshine hours in his garden.
He used a LiPo SHIM to bump up the power to the required 5V for the Zero. Moreover, he added a BH1750 lux sensor to shut off the LiPo SHIM, and thus the Pi, whenever it’s too dark for decent video.
To control the project, he used Calin Crisan’s motionEyeOS video surveillance operating system for single-board computers.
For those moments when you wish the cast of Disney’s Beauty and the Beast was real, only to realise what a nightmare that would be, here’s Paul-Louis Ageneau’s robotic teapot!
See what I mean?
Tale as old as time…
It’s the classic story of guy meets digital killer teapot, digital killer teapot inspires him to 3D print his own. Loosely based on a boss level of the video game Alice: Madness Returns, Paul-Louis’s creation is a one-eyed walking teapot robot with a (possible) thirst for blood.
Kill Build the beast
“My new robot is based on a Raspberry Pi Zero W with a camera.” Paul-Louis explains in his blog. “It is connected via a serial link to an Arduino Pro Mini board, which drives servos.”
Each leg has two points of articulation, one for the knee and one for the ankle. In order to move each of the joints, the teapot uses eight servo motor in total.
Paul-Louis designed and 3D printed the body of the teapot to fit the components needed. So if you’re considering this build as a means of acquiring tea on your laziest of days, I hate to be the bearer of bad news, but the most you’ll get from your pour will be jumper leads and Pi.
While the Arduino board controls the legs, it’s the Raspberry Pi’s job to receive user commands and tell the board how to direct the servos. The protocol for moving the servos is simple, with short lines of characters specifying instructions. First a digit from 0 to 7 selects a servo; next the angle of movement, such as 45 or 90, is input; and finally, the use of C commits the instruction.
Typing in commands is great for debugging, but you don’t want to be glued to a keyboard. Therefore, Paul-Louis continued to work on the code in order to string together several lines to create larger movements.
The final control system of the teapot runs on a web browser as a standard four-axis arrow pad, with two extra arrows for turning.
Something there that wasn’t there before
Jean-Paul also included an ‘eye’ in the side of the pot to fit the Raspberry Pi Camera Module as another nod to the walking teapot from the video game, but with a purpose other than evil and wrong-doing. As you can see from the image above, the camera live-streams footage, allowing for remote control of the monster teapot regardless of your location.
If you like it all that much, it’s yours
In case you fancy yourself as an inventor, Paul-Louis has provided the entire build process and the code on his blog, documenting how to bring your own teapot to life. And if you’ve created any robotic household items or any props from video games or movies, we’d love to see them, so leave a link in the comments or share it with us across social media using the hashtag #IBuiltThisAndNowIThinkItIsTryingToKillMe.
Before our beloved SpaceDave left the Raspberry Pi Foundation to join the ranks of the European Space Agency (ESA) — and no, we’re still not jealous *ahem* — he kindly drafted us one final blog post about the Astro Pi upgrades heading to the International Space Station today! So here it is. Enjoy!
We are very excited to announce that Astro Pi upgrades are on their way to the International Space Station! Back in September, we blogged about a small payload being launched to the International Space Station to upgrade the capabilities of our Astro Pi units.
For the longest time, the payload was scheduled to be launched on SpaceX CRS 14 in February. However, the launch was delayed to April and so impacted the flight operations we have planned for running Mission Space Lab student experiments.
To avoid this, ESA had the payload transferred to Russian Soyuz MS-08 (54S), which is launching today to carry crew members Oleg Artemyev, Andrew Feustel, and Ricky Arnold to the ISS.
You can watch coverage of the launch on NASA TV from 4.30pm GMT this afternoon, with the launch scheduled for 5.44pm GMT. Check the NASA TV schedule for updates.
The pictures below show the flight hardware in its final configuration before loading onto the launch vehicle.
With the wireless dongle, the Astro Pi units can be deployed in ISS locations other than the Columbus module, where they don’t have access to an Ethernet switch.
We are also sending some flexible optical filters. These are made from the same material as the blue square which is shipped with the Raspberry Pi NoIR Camera Module.
So that future Astro Pi code will need to command fewer windows to download earth observation imagery to the ground, we’re also including some 32GB micro SD cards to replace the current 8GB cards.
More space in space
Tthe items above are enclosed in a large 8″ ziplock bag that has been designated the “AstroPi Kit”.
It’s ziplock bags all the way down up
Once the Soyuz docks with the ISS, this payload is one of the first which will be unpacked, so that the Astro Pi units can be upgraded and deployed ready to run your experiments!
More Astro Pi
Stay tuned for our next update in April, when student code is set to be run on the Astro Pi units as part of our Mission Space Lab programme. And to find out more about Astro Pi, head to the programme website.
Fred Fourie is building a low-cost underwater camera for shallow deployment, and his prototypes are already returning fascinating results. You can build your own PipeCam, and explore the undiscovered depths with a Raspberry Pi and off-the-shelf materials.
Materials and build
In its latest iteration, PipeCam consists of a 110mm PVC waste pipe with fittings and a 10mm perspex window at one end. Previous prototypes have also used plumbing materials for the body, but this latest version employs heavy-duty parts that deliver the good seal this project needs.
In testing, Fred and a friend determined that the rig could withstand 4 bar of pressure. This is enough to protect the tech inside at the depths Fred plans for, and a significant performance improvement on previous prototypes.
Inside the pipe are a Raspberry Pi 3, a camera module, and a real-time clock add-on board. A 2.4Ah rechargeable lead acid battery powers the set-up via a voltage regulator.
Using foam and fibreboard, Fred made a mount that holds everything in place and fits snugly inside the pipe.
PipeCam will be subject to ocean currents, not to mention the attentions of sea creatures, so it’s essential to make sure that everything is held securely inside the pipe – something Fred has learned from previous versions of the project.
It’s straightforward to write time-lapse code for a Raspberry Pi using Python and one of our free online resources, but Fred has more ambitious plans for PipeCam. As well as a Python script to control the camera, Fred made a web page to display the health of the device. It shows battery level and storage availability, along with the latest photo taken by the camera. He also made adjustments to the camera’s exposure settings using raspistill. You can see the effect in this side-by-side comparison of the default python-picam image and the edited raspistill one.
Fred has completed the initial first test of PipeCam, running the device under water for an hour in two-metre deep water off the coast near his home. And the results? Well, see for yourself:
The eagle-eyed among you may have noticed that today is 28 February, which is as close as you’re going to get to our sixth birthday, given that we launched on a leap day. For the last three years, we’ve launched products on or around our birthday: Raspberry Pi 2 in 2015; Raspberry Pi 3 in 2016; and Raspberry Pi Zero W in 2017. But today is a snow day here at Pi Towers, so rather than launching something, we’re taking a photo tour of the last six years of Raspberry Pi products before we don our party hats for the Raspberry Jam Big Birthday Weekend this Saturday and Sunday.
Before there was Raspberry Pi, there was the Broadcom BCM2763 ‘micro DB’, designed, as it happens, by our very own Roger Thornton. This was the first thing we demoed as a Raspberry Pi in May 2011, shown here running an ARMv6 build of Ubuntu 9.04.
BCM2763 micro DB
Ubuntu on Raspberry Pi, 2011-style
A few months later, along came the first batch of 50 “alpha boards”, designed for us by Broadcom. I used to have a spreadsheet that told me where in the world each one of these lived. These are the first “real” Raspberry Pis, built around the BCM2835 application processor and LAN9512 USB hub and Ethernet adapter; remarkably, a software image taken from the download page today will still run on them.
Raspberry Pi alpha board
We shot some great demos with this board, including this video of Quake III:
A little something for the weekend: here’s Eben showing the Raspberry Pi running Quake 3, and chatting a bit about the performance of the board. Thanks to Rob Bishop and Dave Emett for getting the demo running.
Pete spent the second half of 2011 turning the alpha board into a shippable product, and just before Christmas we produced the first 20 “beta boards”, 10 of which were sold at auction, raising over £10000 for the Foundation.
Beta boards on parade
Here’s Dom, demoing both the board and his excellent taste in movie trailers:
See http://www.raspberrypi.org/ for more details, FAQ and forum.
Rather to Pete’s surprise, I took his beta board design (with a manually-added polygon in the Gerbers taking the place of Paul Grant’s infamous red wire), and ordered 2000 units from Egoman in China. After a few hiccups, units started to arrive in Cambridge, and on 29 February 2012, Raspberry Pi went on sale for the first time via our partners element14 and RS Components.
The first 2000 Raspberry Pis
The first Raspberry Pi from the first box from the first pallet
We took over 100000 orders on the first day: something of a shock for an organisation that had imagined in its wildest dreams that it might see lifetime sales of 10000 units. Some people who ordered that day had to wait until the summer to finally receive their units.
Even as we struggled to catch up with demand, we were working on ways to improve the design. We quickly replaced the USB polyfuses in the top right-hand corner of the board with zero-ohm links to reduce IR drop. If you have a board with polyfuses, it’s a real limited edition; even more so if it also has Hynix memory. Pete’s “rev 2” design made this change permanent, tweaked the GPIO pin-out, and added one much-requested feature: mounting holes.
Revision 1 versus revision 2
If you look carefully, you’ll notice something else about the revision 2 board: it’s made in the UK. 2012 marked the start of our relationship with the Sony UK Technology Centre in Pencoed, South Wales. In the five years since, they’ve built every product we offer, including more than 12 million “big” Raspberry Pis and more than one million Zeros.
Celebrating 500,000 Welsh units, back when that seemed like a lot
Economies of scale, and the decline in the price of SDRAM, allowed us to double the memory capacity of the Model B to 512MB in the autumn of 2012. And as supply of Model B finally caught up with demand, we were able to launch the Model A, delivering on our original promise of a $25 computer.
A UK-built Raspberry Pi Model A
In 2014, James took all the lessons we’d learned from two-and-a-bit years in the market, and designed the Model B+, and its baby brother the Model A+. The Model B+ established the form factor for all our future products, with a 40-pin extended GPIO connector, four USB ports, and four mounting holes.
The Raspberry Pi 1 Model B+ — entering the era of proper product photography with a bang.
While James was working on the Model B+, Broadcom was busy behind the scenes developing a follow-on to the BCM2835 application processor. BCM2836 samples arrived in Cambridge at 18:00 one evening in April 2014 (chips never arrive at 09:00 — it’s always early evening, usually just before a public holiday), and within a few hours Dom had Raspbian, and the usual set of VideoCore multimedia demos, up and running.
We launched Raspberry Pi 2 at the start of 2015, pairing BCM2836 with 1GB of memory. With a quad-core Arm Cortex-A7 clocked at 900MHz, we’d increased performance sixfold, and memory fourfold, in just three years.
Nobody mention the xenon death flash.
And of course, while James was working on Raspberry Pi 2, Broadcom was developing BCM2837, with a quad-core 64-bit Arm Cortex-A53 clocked at 1.2GHz. Raspberry Pi 3 launched barely a year after Raspberry Pi 2, providing a further doubling of performance and, for the first time, wireless LAN and Bluetooth.
All our recent products are just the same board shot from different angles
Zero to hero
Where the PC industry has historically used Moore’s Law to “fill up” a given price point with more performance each year, the original Raspberry Pi used Moore’s law to deliver early-2000s PC performance at a lower price. But with Raspberry Pi 2 and 3, we’d gone back to filling up our original $35 price point. After the launch of Raspberry Pi 2, we started to wonder whether we could pull the same trick again, taking the original Raspberry Pi platform to a radically lower price point.
The result was Raspberry Pi Zero. Priced at just $5, with a 1GHz BCM2835 and 512MB of RAM, it was cheap enough to bundle on the front of The MagPi, making us the first computer magazine to give away a computer as a cover gift.
MagPi issue 40 in all its glory
We followed up with the $10 Raspberry Pi Zero W, launched exactly a year ago. This adds the wireless LAN and Bluetooth functionality from Raspberry Pi 3, using a rather improbable-looking PCB antenna designed by our buddies at Proant in Sweden.
RS Components limited-edition blue Raspberry Pi 1 Model B
Brazilian-market Raspberry Pi 3 Model B
Visible-light Camera Module v2
Learning about injection moulding the hard way
250 pages of content each month, every month
Forward the Foundation
Why does all this matter? Because we’re providing everyone, everywhere, with the chance to own a general-purpose programmable computer for the price of a cup of coffee; because we’re giving people access to tools to let them learn new skills, build businesses, and bring their ideas to life; and because when you buy a Raspberry Pi product, every penny of profit goes to support the Raspberry Pi Foundation in its mission to change the face of computing education.
We’ve had an amazing six years, and they’ve been amazing in large part because of the community that’s grown up alongside us. This weekend, more than 150 Raspberry Jams will take place around the world, comprising the Raspberry Jam Big Birthday Weekend.
If you want to know more about the Raspberry Pi community, go ahead and find your nearest Jam on our interactive map — maybe we’ll see you there.
dekuNukem uses a Raspberry Pi 3, the Raspberry Pi camera module, and an OLED screen for the build. You don’t strictly need to include the OLED board, but it definitely adds to the overall effect, letting you view your daily and weekly screen time at a glance without having to access your Raspberry Pi for data.
As dekuNukem explains in the GitHub repo for the build, they used a perf board to mount the screen and attached it to the Raspberry Pi. This is a nice, simple means of pulling the whole project together without loose wires or the need for a modified case.
This face_recognition library lets the Pi + camera register your face. You’ll also need a well lit 400×400 photograph of yourself to act as a reference for the library. From there, a few commands should get you started.
Uses for facial recognition
You could simply use facepunch for its intended purpose, but here at Pi Towers we’ve been discussing further uses for the build. We’re all guilty of sitting for too long at our desks, so why not incorporate a “get up and walk around” notification? How about a flashing LED that tells you to “drink some water”? You could even go a little deeper (though possibly a little Big Brother) and set up an “I’m back at my desk” notification on Slack, to let your colleagues know you’re available.
You could also take this foray into facial recognition and incorporate it into home automation projects: a user-identifying Magic Mirror, perhaps, or a doorbell that recognises friends and family.
What would you do with facial recognition on a Raspberry Pi?
A conversation with BMO showing off some voice recognition capabilities. There is no interaction for BMO’s responses other than voice commands. There is a small microphone inside BMO (right behind the blue dot) and the voice commands are processed by Google voice API over WiFi.
My first BMO began as a cosplay prop for my daughter. She and her friends are huge fans of Adventure Time and made their costumes for Princess Bubblegum, Marceline, and Finn. It was my job to come up with a BMO.
Bob as Banana Guard, daughter Laura as Princess Bubblegum, and son Steven as Finn
I wanted something electronic, and also interactive if possible. And it had to run on battery power. There was only one option that I found that would work: the Raspberry Pi.
Building a living little boy
BMO’s basic internals consist of the Raspberry Pi, an 8” HDMI monitor, and a USB battery pack. The body is made from laser-cut MDF wood, which I sanded, sealed, and painted. I added 3D-printed arms and legs along with some vinyl lettering to complete the look. There is also a small wireless keyboard that works as a remote control.
To make the front panel button function, I created a custom PCB, mounted laser-cut acrylic buttons on it, and connected it to the Pi’s IO header.
Custom-made PCBs control BMO’s gaming buttons and USB input.
The USB jack is extended with another custom PCB, which gives BMO USB ports on the front panel. His battery life is an impressive 8 hours of continuous use.
The main brain game frame
Most of BMO’s personality comes from custom animations that my daughter created and that were then turned into MP4 video files. The animations are triggered by the remote keyboard. Some versions of BMO have an internal microphone, and the Google Voice API is used to translate the user’s voice and map it to an appropriate response, so it’s possible to have a conversation with BMO.
The Raspberry Pi Camera Module was also put to use. Some BMOs have a servo that can pop up a camera, called GoMO, which takes pictures. Although some people mistake it for ghost detecting equipment, BMO just likes taking nice pictures.
Who wants to play video games?
Playing games on BMO is as simple as loading one of the emulators supported by Raspbian.
I’m partial to the Atari 800 emulator, since I used to write games for that platform when I was just starting to learn programming. The front-panel USB ports are used for connecting gamepads, or his front-panel buttons and D-Pad can be used.
BMO has been a lot of fun to bring to conventions. He makes it to ComicCon San Diego each year and has been as far away as DragonCon in Atlanta, where he finally got to meet the voice of BMO, Niki Yang.
BMO’s back panel, autographed by Niki Yang
One day, I received an email from the producer of Adventure Time, Kelly Crews, with a very special request. Kelly was looking for a birthday present for the show’s creator, Pendleton Ward. It was either luck or coincidence that I just was finishing up the latest version of BMO. Niki Yang added some custom greetings just for Pen.
Happy birthday to Pendleton Ward, the creator of, well, you know what. We were asked to build Pen his very own BMO and with help from Niki Yang and the Adventure Time crew here is the result.
We added a few more items inside, including a 3D-printed heart, a medal, and a certificate which come from the famous Be More episode that explains BMO’s origins.
BMO was quite a challenge to create. Fabricating the enclosure required several different techniques and materials. Fortunately, bringing him to life was quite simple once he had a Raspberry Pi inside!
Find out more
Be sure to follow Bob’s adventures with BMO at the Build Your Own BMO blog. And if you’ve built your own prop from television or film using a Raspberry Pi, be sure to share it with us in the comments below or on our social media channels.
Today, a guest post: Alasdair Davies, co-founder of Naturebytes, ZSL London’s Conservation Technology Specialist and Shuttleworth Foundation Fellow, shares the work of the Arribada Initiative. The project uses the Raspberry Pi Zero and camera module to follow the journey of green sea turtles. The footage captured from the backs of these magnificent creatures is just incredible – prepare to be blown away!
Footage from the new Arribada PS-C (pit-stop camera) video tag recently trialled on the island of Principe in unison with the Principe Trust. Engineered by Institute IRNAS (http://irnas.eu/) for the Arribada Initiative (http://blog.arribada.org/).
Access to affordable, open and customisable conservation technologies in the animal tracking world is often limited. I’ve been a conservation technologist for the past ten years, co-founding Naturebytes and working at ZSL London Zoo, and this was a problem that continued to frustrate me. It was inherently expensive to collect valuable data that was necessary to inform policy, to designate marine protected areas, or to identify threats to species.
In March this year, I got a supercharged opportunity to break through these barriers by becoming a Shuttleworth Foundation Fellow, meaning I had the time and resources to concentrate on cracking the problem. The Arribada Initiative was founded, and ten months later, the open source Arribada PS-C green sea turtle tag was born. The video above was captured two weeks ago in the waters of Principe Island, West Africa.
On route to Principe island with 10 second gen green sea #turtle tags for testing. This version has a video & accelerometer payload for behavioural studies, plus a nice wireless charging carry case made by @institute_irnas @ShuttleworthFdn
The tag comprises a Raspberry Pi Zero W sporting the Raspberry Pi camera module, a PiRA power management board, two lithium-ion cells, and a rather nice enclosure. It was built in unison with Institute IRNAS, and there’s a nice user-friendly wireless charging case to make it easy for the marine guards to replace the tags after their voyages at sea. When a tag is returned to one of the docking stations in the case, we use resin.io to manage it, download videos, and configure the tag remotely.
The tags can also be configured to take video clips at timed intervals, meaning we can now observe the presence of marine litter, plastic debris, before/after changes to the ocean environment due to nearby construction, pollution, and other threats.
Discarded fishing nets are lethal to sea turtles, so using this new tag at scale – now finally possible, as the Raspberry Pi Zero helps to drive down costs dramatically whilst retaining excellent video quality – offers real value to scientists in the field. Next year we will be releasing an optimised, affordable GPS version.
To make this all possible we had to devise a quicker method of attaching the tag to the sea turtles too, so we came up with the “pit-stop” technique (which is what the PS in the name “Arribada PS-C” stands for). Just as a Formula 1 car would visit the pits to get its tyres changed, we literally switch out the tags on the beach when nesting females return, replacing them with freshly charged tags by using a quick-release base plate.
About 6 days left now until the first tagged nesting green sea #turtles return using our latest “pit-stop” removeable / replaceable tag method. Counting down the days @arribada_i @institute_irnas
To implement the system we first epoxy the base plate to the turtle, which minimises any possible stress to the turtles as the method is quick. Once the epoxy has dried we attach the tag. When the turtle has completed its nesting cycle (they visit the beach to lay eggs three to four times in a single season, every 10–14 days on average), we simply remove the base plate to complete the field work.
If you’d like to watch more wonderful videos of the green sea turtles’ adventures, there’s an entire YouTube playlist available here. And to keep up to date with the initiative, be sure to follow Arribada and Alasdair on Twitter.
Allow your robots to join in the fun this Christmas with a round of Channel 4’s Countdown. https://www.rosietheredrobot.com/2017/12/tea-minus-30.html
Rosie the Red Robot
First, a little bit of backstory. Challenged by his eldest daughter to build a robot, technology-loving Alan got to work building Rosie.
I became (unusually) determined. I wanted to show her what can be done… and the how can be learnt later. After all, there is nothing more exciting and encouraging than seeing technology come alive. Move. Groove. Quite literally.
Originally, Rosie had a Raspberry Pi 3 brain controlling ultrasonic sensors and motors via Python. From there, she has evolved into something much grander, and Alan has documented her upgrades on the Rosie the Red Robot blog. Using GPS trackers and a Raspberry Pi camera module, she became Rosie Patrol, a rolling, walking, interactive bot; then, with further upgrades, the Tea Minus 30 project came to be. Which brings us back to Countdown.
T(ea) minus 30
In case it hasn’t been a big part of your life up until now, Countdown is one of the longest running televisions shows in history, and occupies a special place in British culture. Contestants take turns to fill a board with nine randomly selected vowels and consonants, before battling the Countdown clock to find the longest word they can in the space of 30 seconds.
I’ve had quite a few requests to show just the Countdown clock for use in school activities/own games etc., so here it is! Enjoy! It’s a brand new version too, using the 2010 Office package.
There’s a numbers round involving arithmetic, too – but for now, we’re going to focus on letters and words, because that’s where Rosie’s skills shine.
Using an online resource, Alan created a dataset of the ten thousand most common English words.
Many words, listed in order of common-ness. Alan wrote a Python script to order them alphabetically and by length
Next, Alan wrote a Python script to select nine letters at random, then search the word list to find all the words that could be spelled using only these letters. He used the randint function to select letters from a pre-loaded alphabet, and introduced a requirement to include at least two vowels among the nine letters.
Words that match the available letters are displayed on the screen.
Putting it all together
With the basic game-play working, it was time to bring the project to life. For this, Alan used Rosie’s camera module, along with optical character recognition (OCR) and text-to-speech capabilities.
Alan writes, “Here’s a very amateurish drawing to brainstorm our idea. Let’s call it a design as it makes it sound like we know what we’re doing.”
Alan’s script has Rosie take a photo of the TV screen during the Countdown letters round, then perform OCR using the Google Cloud Vision API to detect the nine letters contestants have to work with. Next, Rosie runs Alan’s code to check the letters against the ten-thousand-word dataset, converts text to speech with Python gTTS, and finally speaks her highest-scoring word via omxplayer.
You can follow the adventures of Rosie the Red Robot on her blog, or follow her on Twitter. And if you’d like to build your own Rosie, Alan has provided code and tutorials for his projects too. Thanks, Alan!
Looking for the perfect Christmas gift for a beloved maker in your life? Maybe you’d like to give a relative or friend a taste of the world of coding and Raspberry Pi? Whatever you’re looking for, the Raspberry Pi Christmas shopping list will point you in the right direction.
For those getting started
Thinking about introducing someone special to the wonders of Raspberry Pi during the holidays? Although you can set up your Pi with peripherals from around your home, such as a mobile phone charger, your PC’s keyboard, and the old mouse dwelling in an office drawer, a starter kit is a nice all-in-one package for the budding coder.
If you’re looking for something for a confident digital maker, you can’t go wrong with adding to their arsenal of electric and electronic bits and bobs that are no doubt cluttering drawers and boxes throughout their house.
Components such as servomotors, displays, and sensors are staples of the maker world. And when it comes to jumper wires, buttons, and LEDs, one can never have enough.
You could also consider getting your person a soldering iron, some helpings hands, or small tools such as a Dremel or screwdriver set.
And to make their life a little less messy, pop it all inside a Really Useful Box…because they’re really useful.
For kit makers
While some people like to dive into making head-first and to build whatever comes to mind, others enjoy working with kits.
The Naturebytes kit allows you to record the animal visitors of your garden with the help of a camera and a motion sensor. Footage of your local badgers, birds, deer, and more will be saved to an SD card, or tweeted or emailed to you if it’s in range of WiFi.
Coretec’s Tiny 4WD is a kit for assembling a Pi Zero–powered remote-controlled robot at home. Not only is the robot adorable, building it also a great introduction to motors and wireless control.
Looking for something small to keep your loved ones occupied on Christmas morning? Or do you have to buy a Secret Santa gift for the office tech? Here are some wonderful stocking fillers to fill your boots with this season.
The Pi Hut 3D Xmas Tree: available as both a pre-soldered and a DIY version, this gadget will work with any 40-pin Raspberry Pi and allows you to create your own mini light show.
Google AIY Voice kit: build your own home assistant using a Raspberry Pi, the MagPi Essentials guide, and this brand-new kit. “Google, play Mariah Carey again…”
LEGO Idea’s bought out this amazing ‘Women of NASA’ set, and I thought it would be fun to build, play and learn from these inspiring women! First up, let’s discover a little more about Sally Ride and Mae Jemison, two AWESOME ASTRONAUTS!
Treat the kids, and big kids, in your life to the newest LEGO Ideas set, the Women of NASA — starring Nancy Grace Roman, Margaret Hamilton, Sally Ride, and Mae Jemison!
Explore the world of wearables with Pimoroni’s sewable, hackable, wearable, adorable Bearables kits.
With so many amazing kits, HATs, and books available from members of the Raspberry Pi community, it’s hard to only pick a few. Have you found something splendid for the maker in your life? Maybe you’ve created your own kit that uses the Raspberry Pi? Share your favourites with us in the comments below or via our social media accounts.
Tim Rowledge produces and sells wonderful replicas of the cases which our Astro Pis live in aboard the International Space Station. Here is the story of how he came to do this. Over to you, Tim!
When the Astro Pi case was first revealed a couple of years ago, the collective outpouring of ‘Squee!’ it elicited may have been heard on board the ISS itself. People wanted to buy it or build it at home, and someone wanted to know whether it would blend. (There’s always one.)
The Sense HAT and its Pi tucked snugly in the original Astro Pi flight case — gorgeous, isn’t it?
Replicating the Astro Pi case
Some months later the STL files for printing your own Astro Pi case were released, and people jumped at the chance to use them. Soon reports appeared saying you had to make quite a few attempts before getting a good print — normal for any complex 3D-printing project. A fellow member of my local makerspace successfully made a couple of cases, but it took a lot of time, filament, and post-print finishing work. And of course, a plastic Astro Pi case simply doesn’t look or feel like the original made of machined aluminium — or ‘aluminum’, as they tend to say over here in North America.
A batch of tops designed by Tim
I wanted to build an Astro Pi case which would more closely match the original. Fortunately, someone else at my makerspace happens to have some serious CNC machining equipment at his small manufacturing company. Therefore, I focused on creating a case design that could be produced with his three-axis device. This meant simplifying some parts to avoid expensive, slow, complex multi-fixture work. It took us a while, but we ended up with a design we can efficiently make using his machine.
Tim’s first lasered case
And the resulting case looks really, really like the original — in fact, upon receiving one of the final prototypes, Eben commented:
“I have to say, at first glance they look spectacular: unless you hold them side by side with the originals, it’s hard to pinpoint what’s changed. I’m looking forward to seeing one built up and then seeing them in the wild.”
Inside the Astro Pi case
Making just the bare case is nice, but there are other parts required to recreate a complete Astro Pi unit. Thus I got my local electronics company to design a small HAT to provide much the same support the mezzanine board offers: an RTC and nice, clean connections to the six buttons. We also added well-labelled, grouped pads for all the other GPIO lines, along with space for an ADC. If you’re making your own Astro Pi replica, you might like the Switchboard.
The electronics supply industry just loves to offer *some* of what you need, so that one supplier never has everything: we had to obtain the required stand-offs, screws, spacers, and JST wires from assorted other sources. Jeff at my nearby Industrial Paint & Plastics took on the laser engraving of our cases, leaving out copyrighted logos etcetera.
Lasering the top of a case
Get your own Astro Pi case
Should you like to buy one of our Astro Pi case kits, pop over to www.astropicase.com, and we’ll get it on its way to you pronto. If you’re an institutional or corporate customer, the fully built option might make more sense for you — ordering the Pi and other components, and having a staff member assemble it all, may well be more work than is sensible.
Tim’s first full Astro Pi case replica, complete with shiny APEM buttons
To put the kit together yourself, all you need to do is add a Pi, Sense HAT, Camera Module, and RTC battery, and choose your buttons. An illustrated manual explains the process step by step. Our version of the Astro Pi case uses the same APEM buttons as the units in orbit, and whilst they are expensive, just clicking them is a source of great joy. It comes in a nice travel case too.
This is Tim. Thanks, Tim!
Take part in Astro Pi
If having an Astro Pi replica is not enough for you, this is your chance: the 2017-18 Astro Pi challenge is open! Do you know a teenager who might be keen to design a experiment to run on the Astro Pis in space? Are you one yourself? You have until 29 October to send us your Mission Space Lab entry and become part of the next generation of space scientists? Head over to the Astro Pi website to find out more.
After making a delightful Bitcoin lottery using a Raspberry Pi, Sean Hodgins brings us more Pi-powered goodness in time for every maker’s favourite holiday: Easter! Just kidding, it’s Halloween. Check out his hair-raising new build, the Haunted Jack in the Box.
This project uses a raspberry pi and face detection using the pi camera to determine when someone is looking at it. Plenty of opportunities to scare people with it. You can make your own!
Imagine yourself wandering around a dimly lit house. Your eyes idly scan a shelf. Suddenly, out of nowhere, a twangy melody! What was that? You take a closer look…there seems to be a box in jolly colours…with a handle that’s spinning by itself?!
You freeze, unable to peel your eyes away, and BAM!, out pops a maniacally grinning clown. You promptly pee yourself. Happy Halloween, courtesy of Sean Hodgins.
Eerie disembodied voice: You’re welco-o-o-ome!
How has Sean built this?
Sean purchased a jack-in-the-box toy and replaced its bottom side with one that would hold the necessary electronic components. He 3D-printed this part, but says you could also just build it by hand.
The bottom of the box houses a Raspberry Pi 3 Model B and a servomotor which can turn the windup handle. There’s also a magnetic reed switch which helps the Pi decide when to trigger the Jack. Sean hooked up the components to the Pi’s GPIO pins, and used an elastic band as a drive belt to connect the pulleys on the motor and the handle.
Sean explains that he has used a lot of double-sided tape and superglue in this build. The bottom and top are held together with two screws, because, as he describes it, “the Jack coming out is a little violent.”
But if I explain it, it won’t be scary anymore! OK, fiiiine.
With the help of a a Camera Module and OpenCV, Sean implemented facial recognition: Jack knows when someone is looking at his box, and responds by winding up and popping out.
Testing the haunting script
Sean’s Python script is available here, but as he points out, there are many ways in which you could adapt this code, and the build itself, to be even more frightening.
So very haunted
What would you do with this build? Add creepy laughter? Soundbites from It? Lighting effects? Maybe even infrared light and a NoIR Camera Module, so that you can scare people in total darkness? There are so many possibilities for this project — tell us your idea in the comments.
We’ve all been there: zombies at the door, Daleks on the driveway, creatures from the Upside Down in the walls. You want to be able to monitor their movements, but how do you do that without attracting their attention? Wesley Archer (AKA Raspberry Coulis) has the answer: a Pi-powered Night Vision Camera, perfect for catching unearthly creatures on the prowl — and for wildlife spotting, birdwatching, and home security too, I guess…
Wesley’s Pi-powered Night Vision Camera
To build his Night Vision Camera, Wesley ordered an infrared Lisiparoi LED Light Ring, a Cyntech Raspberry Pi case, a Pi NoIR Camera Module, and USB WiFi adapter. He based this project around a Raspberry Pi Model B that was in need of a good home, but there’s no reason why you couldn’t use a more up-to-date model with built-in wireless networking.
Wesley set about adapting the case to hold the camera and the infrared light, cutting a hole for the camera lens and attaching the LED Light Ring to the front of the box. The light ring acts as an infrared floodlight, invisible to the zombies, but when combined with the NoIR Camera Module, capable of capturing useful images in the dark. His blog includes helpful step-by-step instructions for this process — unlike Wesley, we recommend using a metal file from your toolbox, and not a nail file belonging to another member of your family. If you’re surrounded by the undead hordes, domestic harmony is essential.
Cutting holes in the case. Please don’t use your spouse’s nail file for this job …
When your hardware is complete, it’s time to install the software. Wesley chose MotionEyeOS to run his camera, and his blog explains the process of downloading and installing the software on your Pi. When everything is set up, and the Pi is connected to your WiFi network, all you need is the Pi’s IP address to view the feed from the camera. Type the IP address into a browser on the same WiFi network, log in, and you’ll soon be spotting intruders (supernatural or otherwise), or possibly watching the fluffy residents of your bird box. Whatever makes you happy.
While a camera with night vision is obviously useful, both the Lisiparoi Light Ring and the Camera Module are available for use with the visible spectrum. You can order the Light Ring with infrared or standard white LEDs, and the standard Camera Module works with visible light. If you don’t mind attracting attention, both options could be used to monitor your perimeter for threats.
Saving the world
We think this project would be an amazing inspiration for the current Pioneers challenge, Only you can save us! Set up a camera to control entry to your secret bunker, even when the lights fail. Fend off attacks from zombies, Daleks, or giant spiders, and help save humanity from catastrophe!
Have you built a security system to keep your property safe from marauding zombies? Or even from regular burglars? Has your Pioneers team used infrared monitoring in your build? Tell us about it in the comments!
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