Hackaday Prize Entry: 10 Watt Individually Addressable RGB LEDs

Individually addressable RGB LEDs like Neopixels, WS2812s, and  WS2811s are the defacto standard for making blinkey glowey projects. To build a very bright display, you need a lot of them, relegating very bright RGB displays to those of us who can afford the hardware and figure out how to drive that many LEDs. For his Hackaday Prize entry, [AJ Reynolds] is cranking these tiny RGB LEDs up a notch by building an individually addressable 10 Watt RGB floodlight.

Instead of building an RGB LED floodlight from scratch, [AJ] is leveraging the most mediocre of what China has to offer. He found 10 Watt RGBs for a dollar a piece and a few floodlight cases that cost about $5 a piece. By dispensing with the white LED in the floodlight case and replacing it with a 10 Watt RGB LED and some custom circuitry, [AJ] can build a powerful RGB floodlight with a BOM cost of under $15.

While there are big RGB floodlights out there, controlling them either means a custom proprietary protocol or messing around with DMX. A floodlight that speaks the same language as a WS2811 leverages an enormous amount of work from the world of Arduino and a lot of projects from around the Internet, making this a great entry for really bright blinkies and an excellent entry for The Hackaday Prize.

The 2015 Hackaday Prize is sponsored by:

Human Controlled Robot Arm

Human Gestures Control This Robot Arm

[Ray Kampmeier] just finished writing some code to allow him to control his robotic arm using force-sensitive hand gestures! He calls it the Robo Marionette.

He’s using a MeArm 4 DOF robotic arm, a Sensel touch interface, an Arduino Uno, and a servo shield for the Arduino to control the MeArm. All the code you need is available on his GitHub, but unfortunately the Sensel touch interface isn’t actually available to the public yet.

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Waking Up Is Easy With This Bed Ejection System

Waking up is hard. Beds are just so darn comfortable when you wake up… which is precisely why you need to upgrade your bed with one of these. Made by the only guy we would trust to create such a device, [Colin Furze] has really upped the ante on his projects — he calls this one the High Voltage Ejector Bed.

Sponsored by a coffee company, [Colin] really went all out with this project — and if this is the future of marketing for products — count us in. The bed uses two massive pneumatic cylinders to flip the bed up on its end, not unlike a dump truck — or as [Colin] would put it, a lorry. The all-metal frame must have cost a pretty penny — but this thing looks like it’ll last forever — after all, he’s also an expert welder.

Stick around after the break to see it fling [Colin] into consciousness.

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Hacklet 68 – Rocket Projects

There’s just something amazing about counting down and watching a rocket lift off the pad, soaring high into the sky. The excitement is multiplied when the rocket is one you built yourself. Amateur rocketry has been inspiring hackers and engineers for centuries. In the USA, modern amateur rocketry gained popularity after Sputnik-1, continuing on through the space race. Much of this history captured in the book Rocket Boys by Homer Hickam, which is well worth a read. This week’s Hacklet is dedicated to some of the best rocketry projects on Hackaday.io!

rocket1We start with [Sagar] and Guided Rocket. [Sagar] is building a rocket with a self stabilization system. Many projects use articulated fins for this, and [Sagar] plans to add fins in the future, but he’s starting with an articulated rocket motor. The motor sits inside a gimbal, which allows it to tilt about 10 degrees in any direction. An Arduino is the brain of the system. The Arduino gathers data from a MPU6050 IMU sensor, then determines how to steer the rocket motor. Steering is accomplished with a couple of micro servos connected to the gimbal.

 

rocket2Next up is [Howie], with Homemade rocket engine. [Howie] is cooking some seriously hot stuff on his stove. Rocket candy to be precise, similar to the fuel [Homer Hickam] wrote about in Rocket Boys. This solid fuel is so named because one of the main ingredients is sugar. The other main ingredient is stump remover, or potassium nitrate. Everything is mixed and heated together on a skillet for about 30 minutes, then pushed into rocket engine tubes. It goes without saying that you shouldn’t try this one at home unless you’re really sure of what you’re doing!

 

rocket3Everyone wants to know how high their rocket went. [Vcazan] created AltiRocket to record acceleration and altitude data. AltiRocket also transmits the data to the ground via a radio link. An Arduino Nano keeps things light. A BMP108 barometric sensor captures pressure data, which is easily converted into altitude. Launch forces are captured by a 3 Axis accelerometer. A tiny LiPo battery provides power. The entire system is only 23 grams! [Vcazan] has already flown AltiRocket, collecting data from several flights earlier this summer.

 

rocket4Finally we have [J. M. Hopkins] who is working on a huge project to do just about everything! High Power Experimental Rocket Platform includes designing and building everything from the rocket fuel, to the rocket itself, to a GPS guided parachute recovery system. [J. M. Hopkins] has already accomplished two of his goals, making his own fuel and testing nozzle designs. The electronics package to be included on the rocket is impressive, including a GPS, IMU, barometric, and temperature sensors. Data will be sent back to the ground by a 70cm transceiver. The ground station will use a high gain human-guided yagi tracking antenna with a low noise amplifier to pick up the signal.

If you want more rocketry goodness, check out our brand new rocket project list! Rocket projects move fast, if I missed yours as it streaked by, don’t hesitate to drop me a message on Hackaday.io. That’s it for this week’s Hacklet, As always, see you next week. Same hack time, same hack channel, bringing you the best of Hackaday.io!

Build Your Own CPU? That’s The Easy Part!

You want to build your own CPU? That’s great fun, but you might find it isn’t as hard as you think. I’ve done several CPUs over the years, and there’s no shortage of other custom CPUs out there ranging from pretty serious attempts to computers made out of discrete chips to computers made with relays. Not to trivialize the attempt, but the real problem isn’t the CPU. It is the infrastructure.

What Kind of Infrastructure?

I suppose the holy grail would be to bootstrap your custom CPU into a full-blown Linux system. That’s a big enough job that I haven’t done it. Although you might be more productive than I am, you probably need a certain amount of sleep, and so you may want to consider if you can really get it all done in a reasonable time. Many custom CPUs, for example, don’t run interactive operating systems (or any operating system, for that matter). In extreme cases, custom CPUs don’t have any infrastructure and you program them in straight machine code.

Machine code is error prone so, you really need an assembler. If you are working on a big machine, you might even want a linker. Assembly language coding gets tedious after a while, so maybe you want a C compiler (or some other language). A debugger? What about an operating system?

Each one of those things is a pretty serious project all by itself (on top of the project of making a fairly capable CPU). Unless you have a lot of free time on your hands or a big team, you are going to have to consider how to hack some shortcuts.

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44 Mac Pros Racked Up To Replace Each Rack Of 64 Mac Minis

We were delighted at a seeing 96 MacBook Pros in a rack a couple of days ago which served as testing hardware. It’s pretty cool so see a similar exquisitely executed hack that is actually in use as a production server.  imgix is a startup that provides image resizing for major web platforms. This means they need some real image processing horsepower and recently finalized a design that installs 44 Mac Pro computers in each rack. This hardware was chosen because it’s more than capable of doing the heavy lifting when it comes to image processing. And it turns out to be a much better use of rack space than the 64 Mac Minis it replaces.

Racking Mac Pro for Production

single-mac-pro-rack

Each of the 11 R2 panels like the one shown here holds 4 Mac Pro. Cooling was the first order of business, so each panel has a grate on the right side of it for cold-air intake. This is a sealed duct through which one side of each Pro is mounted. That allows the built-in exhaust fan of the computers to cool themselves, pulling in cold air and exhausting out the opposite side.

Port access to each is provided on the front of the panel as well. Connectors are mounted on the right side of the front plate which is out of frame in this image. Power and Ethernet run out the back of the rack.

The only downside of this method is that if one computer dies you need to pull the entire rack to replace it. This represents 9% of the total rack and so imgix designed the 44-node system to deal with that kind of processing loss without taking the entire rack down for service.

Why This Bests the Mac Mini

3 racks - Linux. Mac Min, Mac Pro
3 racks – Linux. Mac Min, Mac Pro

Here you can see the three different racks that the company is using. On the left is common server equipment running Linux. In the middle is the R1 design which uses 64 Mac Minis for graphic-intensive tasks. To the right is the new R2 rack which replace the R1 design.

Obviously each Mac Pro is more powerful than a Mac Mini, but I reached out to imgix to ask about what prompt them to move away from the R1 design that hosts eight rack panes each with eight Mac Minis. [Simon Kuhn], the Director of Production, makes the point that the original rack design is a good one, but in the end there’s just too little computing power in the space of one rack to make sense.

Although physically there is room for at least twice as many Mac Mini units — by mounting them two-deep in each space — this would have caused several problems. First up is heat. Keeping the second position of computers within safe operating temperatures would have been challenging, if not impossible. The second is automated power control. The R1 racks used two sets of 48 controllable outlets to power computers and cooling fans. This is important as the outlets allow them to power cycle mis-behaving units remotely. And finally, more units means more Ethernet connections to deal with.

We having a great time looking that custom server rack setups. If you have one of your own, or a favorite which someone else built, please let us know!

[Thanks to drw72 for mentioning R2 in a comment]

Quantum Mechanics In Your Processor: Tunneling And Transistors

By the turn of the 19th century, most scientists were convinced that the natural world was composed of atoms. [Einstein’s] 1905 paper on Brownian motion, which links the behavior of tiny particles suspended in a liquid to the movement of atoms put the nail in the coffin of the anti-atom crowd. No one could actually see atoms, however. The typical size of a single atom ranges from 30 to 300 picometers. With the wavelength of visible light coming in at a whopping 400 – 700 nanometers, it is simply not possible to “see” an atom. Not possible with visible light, that is. It was the summer of 1982 when Gerd Binnig and Heinrich Rohrer, two researchers at IBM’s Zurich Research Laboratory, show to the world the first ever visual image of an atomic structure. They would be awarded the Nobel prize in physics for their invention in 1986.

The Scanning Tunneling Microscope

IBM’s Scanning Tunneling Microscope, or STM for short, uses an atomically sharp needle that passes over the surface of an (electrically conductive) object – the distance between the tip and object being just a few hundred picometers, or the diameter of a large atom.

stm
[Image Source]
A small voltage is applied between the needle and the object. Electrons ‘move’ from the object to the needle tip. The needle scans the object, much like a CRT screen is scanned. A current from the object to the needed is measured. The tip of the needle is moved up and down so that this current value does not change, thus allowing the needle to perfectly contour the object as it scans. If one makes a visual image of the current values after the scan is complete, individual atoms become recognizable. Some of this might sound familiar, as we’ve seen a handful of people make electron microscopes from scratch. What we’re going to focus on in this article is how these electrons ‘move’ from the object to the needle. Unless you’re well versed in quantum mechanics, the answer might just leave your jaw in the same position as this image will from a home built STM machine.

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