A few months ago we were lucky to get the scoop on a new Raspberry Pi a few days before it was officially announced. This model ended up being the Raspberry Pi Model B+, with improvements that included more USB ports, not-dumb mounting holes, more GPIOs, and a decent microSD card connector. Today, we’re proud to leak another revision to the Raspberry Pi ecosystem – the Raspberry Pi Model A+
There really aren’t many details for this new revision of the Raspi, but we can make some educated guesses. The new model features the same not-dumb mounting holes as the B+, 58mm wide by 49mm wide. All the ports are moved to two sides of the board, and the analog audio and video are combined into one 3.5mm jack. Like the normal Model A, this one doesn’t have Ethernet and only one USB port, but the improvements seen from the B to the B+ are still there: a good microSD card socket is on the back, and the 40-pin GPIO header replaces the old 26-pin header. There’s no word if the A+ will feature a RAM upgrade – when the Model B was ramping up production The Foundation decided to bump the RAM up to 512MB. This could happen with the A+, but we’re not holding our breath.
There’s no word when the A+ will be announced, or when it will start shipping. The educated guess would say tomorrow morning, with an analysis of how much power this thing consumes a week after it starts shipping.
You know the holiday season is getting close when the Christmas light projects start rolling in! [Osprey22] is getting a jump on his holiday decorations with his Christmas Tree light show controlled by a Raspberry Pi. Yes, we know he could have done it with an Arduino, or a 555, but the Raspi makes for a convenient platform. With a WiFi module, code changes can be made remotely. The Raspberry Pi’s built-in audio interface also makes it easy to sync music to flashing lights, though we’d probably drop in a higher quality USB audio interface.
[Osprey22’s] Raspberry Pi is running his own custom python sequencer software. It takes an mp3 file and a sequence file as inputs, then runs the entire show. When the music isn’t playing, the Pi loops through a set of pre-defined scenes, changing once per minute.
The hardware itself is pretty straightforward. The Raspberry Pi controls 8 solid state relays through its GPIO interface. 8 strings of lights are more than enough for the average tree. [Osprey22] topped the tree off with a star made of wood and illuminated by a string of 25 WS2801 RGB LED pixels.
Click past the break to see [Osprey22’s] tree in action!
Continue reading “Deck the Halls with a Raspberry Pi Controlled Christmas Tree”
No, not a real fox! [KM4EFP] is a ham radio operator with a passion for fox hunting, which is an event where several radio operators attempt to find a broadcasting beacon (a “fox”) using radio direction finding techniques. [KM4EFP] has just built his own portable fox using a Raspberry Pi in a very well-built enclosure.
Since the fox could be outside for a while, the project was housed in a reasonably weatherproof ammunition case. A mount for an antenna was attached to the side, and it is hooked up to a GPIO pin on the Raspberry Pi. The entire device is powered by a 6000 mAh battery pack which allows the fox to broadcast long enough to be found.
The software running on the Raspberry Pi is very similar to the Pi FM transmitter program but it is specially made for ham radio broadcasting instead. Almost no extra hardware is needed to get the Pi broadcasting radio, as these software packages can drive the antenna directly from the GPIO pin. This is a great twist on the standard FM transmitter that ham radio enthusiasts everywhere can use to start finding those wily foxes!
There are a few very rare and very expensive calculators with Nixie tube displays scattered about calculator history, but so far we haven’t seen someone build a truly useful Nixie calculator from scratch. [Scott] did just that. It’s a complete, fully-functional electronic calculator with all the functions you would expect from a standard scientific calculator.
The calculator uses IN-12 Nixies, the standard for anyone wanting to build a clock or other numerical neon discharge display. Each Nixie is controlled by a K155D driver chip, with the driver chip controlled by an I2C IO expander.
The keypad is where this gets interesting; electronics are one thing, but electromechanicals and buttons are a completely new source of headaches. [Scott] ended up using Cherry MX Blue switches, one of the more common switches for mechanical keyboards. By using a standard keyboard switch [Scott] was able to get custom keycaps made for each of the buttons on his calculator.
The brains of the calculator is a Raspberry Pi, with the I2C pins going off to listen in on the several IO expanders on the device. A Raspi might be a little overkill, but an Internet-connected calculator does allow [Scott] to send calculations off to WolframAlpha, or even the copy of Mathematica included in every Pi.
[Scott] has put his project up on Kickstarter. Videos below.
Continue reading “Nixies and Raspis for a Modern Vintage Calculator”
The tuatara is a reptile native to New Zealand, and thanks to the descendants of stowaway rats on 17th century ships, these little lizards are critically endangered. [Warren] was asked if he could film one of these hatchlings being born and pulled out a Raspberry Pi to make it happen.
[Warren] constructed a small lasercut box to house the incubating egg, but he hit a few snags figuring out how to properly focus the Raspi camera board. The original idea was to use a Nikkor macro lens, without any kind of adapter between it and the camera board. A bit of googling lead [Warren] to this tutorial for modifying the focus on the Raspi camera, giving him a good picture.
The incubator had no windows and thus no light, making an IR LED array the obvious solution to the lighting problem. Time was of the essence, so an off-the-shelf security camera provided the IR illumination. After dumping the video to his computer, [Warren] had a video of a baby tuatara hatching. You can check that out below.
Continue reading “Recording Time Lapse of Endangered Reptiles Hatching”
Building a MAME machine around a Raspberry Pi has been the standard build for years now, and tiny versions of full-sized arcade machines have gone from curiosity to commonplace. [
The entire enclosure is 3D printed, and most of the electronics are exactly what you would expect: A Raspberry Pi, 2.5″ LCD, and a battery-powered speaker takes up most of the BOM. Where this build gets interesting is the buttons and joystick: after what we’re sure was a crazy amount of googling, [diygizmo] found something that looks like a normal arcade joystick, only smaller. Unable to find a suitable replacement for arcade buttons, [diygizmo] just printed their own, tucked a tact switch behind the plastic, and wired everything up.
Add in some decals, paint, and the same techniques used to create plastic model miniatures, and you have a perfect representation of a miniature arcade machine.
The Raspberry Pi has a port for a camera connector, allowing it to capture 1080p video and stream it to a network without having to deal with the craziness of webcams and the improbability of capturing 1080p video over USB. The Raspberry Pi compute module is a little more advanced; it breaks out two camera connectors, theoretically giving the Raspberry Pi stereo vision and depth mapping. [David Barker] put a compute module and two cameras together making this build a reality.
The use of stereo vision for computer vision and robotics research has been around much longer than other methods of depth mapping like a repurposed Kinect, but so far the hardware to do this has been a little hard to come by. You need two cameras, obviously, but the software techniques are well understood in the relevant literature.
[David] connected two cameras to a Pi compute module and implemented three different versions of the software techniques: one in Python and NumPy, running on an 3GHz x86 box, a version in C, running on x86 and the Pi’s ARM core, and another in assembler for the VideoCore on the Pi. Assembly is the way to go here – on the x86 platform, Python could do the parallax computations in 63 seconds, and C could manage it in 56 milliseconds. On the Pi, C took 1 second, and the VideoCore took 90 milliseconds. This translates to a frame rate of about 12FPS on the Pi, more than enough for some very, very interesting robotics work.
There are some better pictures of what this setup can do over on the Raspi blog. We couldn’t find a link to the software that made this possible, so if anyone has a link, drop it in the comments.