THP Semifinalist: The Moteino

One of the apparent unofficial themes of The Hackaday Prize is the Internet of Things and home automation. While there were plenty of projects that looked at new and interesting ways to turn on a light switch from the Internet, very few took a good, hard look at the hardware required to do that. [Felix]’s Moteino is one of those projects.

The Moteino is based on the Arduino, and adds a low-cost radio module to talk to the rest of the world. The module is the HopeRF RFM12B or RFM69. Both of these radios operate in the ISM band at 434, 868, or 915 MHz. Being pretty much the same as an Arduino with a radio module strapped to the back, programming is easy and it should be able to do anything that has been done with an ATMega328.

[Felix] has been offering the Moteino for a while now, and already there are a few great projects using this platform. In fact, a few other Hackaday Prize entries incorporated a Moteino into their design; Plant Friends used it in a sensor node, and this project is using it for texting and remote control with a cell phone.


SpaceWrencherThe project featured in this post is a semifinalist in The Hackaday Prize.

Goliath And The Rough Road To Space

No one said the road to The Hackaday Prize would be easy. Many of us have been following [Peter McCloud] as he vies for the Hackaday Prize with Goliath – A Gas Powered Quadcopter. [Peter] literally hit a snag on Monday: his own belts.

Peter had hoped to be performing tied down hover tests by Monday afternoon. Weather and a set of fouled spark plugs conspired against him though. After fighting with engine issues for the better part of a day, [Peter’s] 30 horsepower Briggs & Stratton engine finally roared to life. Then all hell broke loose.

[Peter] only let the engine run a couple of seconds before cutting the ignition. In his own words, “Things were running good until the engine was shutoff. At this point one of the belt started losing tension.”

goliath-1While the tight new engine was quickly losing RPM, the propeller and belt system still had quite a bit of inertia. As the video after the break shows, the belts started flapping and caught on the propeller blades. The front right prop tip caught the double-sided toothed belt, pulling it up and over the propeller. The other end of that same belt lives on the right rear prop. It too caught a propeller blade, snapping the composite blade clean off its hub. The bent steel pulley axles are a testament to the forces at work when things went wrong.

[Peter] isn’t giving up though. He has a plan to add belt guides and a one way bearing to the engine’s crankshaft. The one way bearing will allow the rotor system to overspeed the engine when throttle is reduced. The same bearings are commonly used on R/C helicopters to facilitate autorotation landings.

We want to see all 50 Hackaday Prize semifinalists succeed, so if you have any ideas to help with the rebuild, head over to Goliath’s Hackaday.io page and let [Peter] know!

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Extrinsic Motivation: BASIC For Bluetooth

There’s a lot more to those fancy radio modules you use with your Arduino projects than meets the eye. Many of them are systems on a chip, complete with their own microcontroller and memory that can control your entire blinking LEDs project. Developing for these radio modules is a bit of a challenge, as the IDEs and compilers cost several thousand dollars. [Tim]’s entry for the Hackaday Prize looks at one of these Bluetooth LE modules – Texas Instrument’s CC2540 and CC2541 – and puts an embedded BASIC interpreter right on the chip.

[Tim]’s inspiration for this project came from looking at a few popular devices using the CC254X chip. Many of these included a microcontroller and the added costs, complexity, and power requirements that come along with an additional chip. This radio module could easily run any code an ATMega could, and adding another chip to a product seemed like a terrible waste, and certainly not in the spirit of open hardware and software.

The alternative is writing an interpreter for the CC254X chip. He’s chosen BASIC, but added a little bit of Arduino language syntax to make it even easier to develop on. Having already run through a few successful tests involving SPI, I2C and 1-wire devices, [Tim] has a basic system working, but [Tim] admits it does need a little rework to make it easier to use.

It’s a great project, and personally astonishing that it didn’t make the quarterfinal selection for The Hackaday Prize. [Tim] is still working on his project, though, in a great example of extrinsic motivation; he doesn’t need a trip to space to convince him to build something cool.

You can check out [Tim]’s two minute concept video below.


SpaceWrencherThis project is an official entry to The Hackaday Prize that sadly didn’t make the quarterfinal selection. It’s still a great project, and worthy of a Hackaday post on its own.

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THP Semifinalist: Autonomous Recharging For Multirotors

Even with visions of quadcopters buzzing around metropolitan areas delivering everything from pizzas to toilet paper fresh in the minds of tech blogospherites, There’s been a comparatively small amount of research into how to support squadrons of quadcopters and other unmanned aerial vehicles. The most likely cause of this is the FAA’s reactionary position towards UAVs. Good thing [Giovanni] is performing all his research for autonomous recharging and docking for multirotors in Australia, then.

The biggest obstacle of autonomous charging of a quadcopter is landing a quad exactly where the charging station is; run of the mill GPS units only have a resolution of about half a meter, and using a GPS solution would require putting GPS on the charging station as well. The solution comes from powerful ARM single board computers – in this case, an Odroid u3 – along with a USB webcam, OpenCV and a Pixhawk autopilot.

Right now [Giovanni] is still working out the kinks on his software system, but he has all the parts and the right tools to get this project up in the air, down, and back up again.


SpaceWrencherThe project featured in this post is a semifinalist in The Hackaday Prize.

Extrinsic Motivation: P = NP If You Have A Time Machine

Not all of the entries to The Hackaday Prize were serious – at least we hope not – and this one is the most entertaining of the bunch. [Eduardo] wants to put a flux capacitor in a CPU pipeline. Read that last sentence again, grab a cup of coffee, mull it over, and come back. This post will still be here.

Assuming the events portrayed in BTTF could be real in some alternate history or universe, consider the properties of a DeLorean time machine: It requires 1.21 Jiggawatts (we’re assuming this is Gigawatts from now on), has a curb weight of about three thousand pounds with the nuclear reactor and/or hovercar conversion, and is able to travel in time ± 30 years. If the power required to travel time were to scale proportionally with mass, sending a CPU register back in time would only require a Watt or so. Yes, ‘ol [Doc Brown] had it wrong with wanting to send a car back in time – sending information back is much, much easier. Now, what do you do with it?

[Eduardo] is using this to speed up pipelined CPUs. In a CPU pipeline, instructions are executed in parallel, but if one instruction depends on the output of another instruction, bad things happen CPU designers have spent long, sleepless nights figuring out how to prevent this. Basically, a MEMS flux capacitor solves all outstanding problems in CPU design. It’s brilliant, crazy, and we’re glad to see it as an entry to The Hackaday Prize.

[Eduardo], though, isn’t seeing the forest for the trees. If you have a flux capacitor in your CPU, why even bother with optimizing a CPU? Just take a normal CPU, add a flux capacitor register, and have the output of a long and complex calculation write to the time traveling register. All calculations then happen instantly, your Ps and NPs are indistinguishable. All algorithms run in O(1), and the entire endeavor is a light-hearted romp for the entire family.


SpaceWrencherThis project is an official entry to The Hackaday Prize that sadly didn’t make the quarterfinal selection. It’s still a great project, and worthy of a Hackaday post on its own.

THP Semifinalist: The Medicycle

Despite a seeming lack of transportation projects for The Hackaday Prize, there are a few that made it through the great culling and into the semifinalist round. [Nick], [XenonJohn], and [DaveW]’s project is the Medicycle. It’s a vehicle that will turn heads for sure, but the guys have better things in mind than looking cool on the road. He thinks this two-tire unicycle will be useful in dispatching EMTs and other first responders, weaving in and out of traffic to get where they’re needed quickly.

First things first. The one-wheeled motorcycle actually works. It’s basically the same as a self-balancing scooter; the rider leans forward to go forward, leans back to break, and the two tires help with steering. It’s all electronic, powered by a 450W motor. It can dash around alleys, parking lots, and even gravel roadways.

The medi~ part of this cycle comes from a mobile triage unit tucked under the nose of the bike. There are sensors for measuring blood pressure and oxygen, heart rate, and ECG. This data is sent to the Medicycle rider via a monocular display tucked into the helmet and relayed via a 3G module to a physician offsite.

Whether the Medicycle will be useful to medics remains to be seen, but the guys have created an interesting means of transportation that is at least as cool as a jet ski. That’s impressive, and the total build cost of this bike itself is pretty low.

Video of the Medicycle in action below.


SpaceWrencherThe project featured in this post is a semifinalist in The Hackaday Prize.
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THP Semifinalist: FNIR Brain Imager

565281406845688681 The current research tool du jour in the field of neuroscience and psychology is the fMRI, or functional magnetic resonance imaging. It’s basically the same as the MRI machine found in any well equipped hospital, but with a key difference: it can detect very small variances in the blood oxygen levels, and thus areas of activity in the brain. Why is this important? For researchers, finding out what area of the brain is active in response to certain stimuli is a ticket to Tenure Town with stops at Publicationton and Grantville.

fMRI labs are expensive, and [Jeremy]’s submission to The Hackaday Prize is aiming to do the same thing much more cheaply, and in a way that will vastly increase the amount of research being done with this technique. How is he doing this? Using the same technology used in high-tech vein finders: infrared light.

[Jeremy]’s idea is much the same as a photoplethysmograph, better known as a pulse oximeter. Instead of relatively common LEDs, [Jeremy] is using near infrared LEDs, guided by a few papers from Cornell and Drexel that demonstrate this technique can be used to see blood oxygen concentrations in the brain.

Being based on light, this device does not penetrate deeply into the brain. For many use cases, this is fine: the motor cortex is right next to your skull, stretching from ear to ear, vision is taken care of at the back of your head, and memories are right up against your forehead. Being able to scan these areas noninvasively with a device you can wear has incredible applications from having amputees control prosthetics to controlling video game characters by just thinking about it.

[Jeremy]’s device is small, about the size of a cellphone, and uses an array of LEDs and photodiodes to assemble an image of what’s going on inside someone’s head. The image will be somewhat crude, have low resolution, and will not cover the entire brain like an fMRI can. It also doesn’t cost millions of dollars, making this one of the most scientifically disruptive entries we have for The Hackaday Prize.

You can check out [Jeremy]’s intro video below.


SpaceWrencherThe project featured in this post is a semifinalist in The Hackaday Prize. 

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