Hackaday Prize Entry: Ultimate Circuitbending

Circuit bending is the process of taking a small electronic toy or musical instrument, soldering wires to pads on the PCB, and hoping the sounds it produces will be cool. It’s not a science by any means, and any good, weird sounds you’ll get out of a Speak ‘N Spell or old MIDI keyboard are made entirely by accident or hours and hours of experimentation.

[Alpha Charlie]’s entry for the Hackaday Prize is the most technologically advanced circuit bending you’ll ever see. He’s using an old digital beat box, the Roland TR-626, with computer-controlled wires between random pads on the PCB.

Until now, you could tell how technically adept a circuit bender was simply by how many switches were on the circuit-bent instrument. [Alpha Charlie] doesn’t need switches. Instead, he’s using a few crosspoint switch ICs to connect different pins and pads on the TR-626’s PCB with an Arduino. All of this is controlled by a touchscreen display, and experimenting with the circuit is as simple as pushing a few buttons. Each ‘bend’ is computer controlled, and can be saved and recalled at will.

Of course, circuit bending doesn’t do anyone any good if it sounds like crap. [Alpha Charlie] doesn’t have to worry there. In the video below, he’s getting some very unique sounds that sound like a choir of angels to dorks like myself that listen to Nintendo music.

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Hackaday Prize Entry: Multispectral Imaging Based On LandSat 7

The Landsat series of earth observing satellites is one of the most successful space programs in history. Millions of images of the Earth have been captured by Landsat satellites, and those images have been put to use for fields as divers as agriculture, forestry, cartography, and geology. This is only possible because of the science equipment on these satellites. These cameras capture a half-dozen or so spectra in red, green, blue, and a few bands of infrared to tell farmers when to plant, give governments an idea of where to send resources, and provide scientists the data they need.

There is a problem with satellite-based observation; you can’t take a picture of the same plot of land every day. Satellites are constrained by Newton, and if you want frequently updated, multispectral images of a plot of land, a UAV is the way to go.

[SouthMade]’s entry for the Hackaday Prize, uSenseCam, does just that. When this open source multispectral camera array is strapped to a UAV, it will be able to take pictures of a plot of land at wavelengths from 400nm to 950nm. Since it’s on a UAV and not hundreds of miles above our heads, the spacial resolution is vastly improved. Where the best Landsat images have a resolution of 15m/pixel, these cameras can get right down to ground level.

Like just about every project involving imaging, the [SouthMade] team is relying on off-the-shelf camera modules designed for cell phones. Right now they’re working on an enclosure that will allow multiple cameras to be ganged together and have custom filters installed.

While the project itself is just a few cameras in a custom enclosure, it does address a pressing issue. We already have UAVs and the equipment to autonomously monitor fields and forests. We’re working on the legality of it, too. We don’t have the tools that would allow these flying robots to do the useful things we would expect, and hopefully this project is a step in the right direction.


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Hackaday Prize Entry: A Medical Tricorder

We have padds, fusion power plants are less than 50 years away, and we’re working on impulse drives. We’re all working very hard to make the Star Trek galaxy a reality, but there’s one thing missing: medical tricorders. [M. Bindhammer] is working on such a device for his entry for the Hackaday Prize, and he’s doing this in a way that isn’t just a bunch of pulse oximeters and gas sensors. He’s putting intelligence in his medical tricorder to diagnose patients.

In addition to syringes, sensors, and electronics, a lot of [M. Bindhammer]’s work revolves around diagnosing illness according to symptoms. Despite how cool sensors and electronics are, the diagnostic capabilities of the Medical Tricorder is really the most interesting application of technology here. Back in the 60s and 70s, a lot of artificial intelligence work went into expert systems, and the medical applications of this very rudimentary form of AI. There’s a reason ER docs don’t use expert systems to diagnose illness; the computers were too good at it and MDs have egos. Dozens of studies have shown a well-designed expert system is more accurate at making a diagnosis than a doctor.

While the bulk of the diagnostic capabilities rely on math, stats, and other extraordinarily non-visual stuff, he’s also doing a lot of work on hardware. There’s a spectrophotometer and an impeccably well designed micro reaction chamber. This is hardcore stuff, and we can’t wait to see the finished product.

As an aside, see how [M. Bindhammer]’s project has a lot of neat LaTeX equations? You’re welcome.


The 2015 Hackaday Prize is sponsored by:

New Round Of Astronaut Or Not: Most Likely To Save The Planet

Last Friday we closed the first round of Astronaut or Astronot, the first round of community voting for the Hackaday Prize. We tried to give away a $1000 gift card for the Hackaday Store to a random person on Hackaday.io if they have voted. The random person selected didn’t vote, but we did manage to give away some t-shirts to people who did vote.

Now that we’re well into the second round of community voting, and it’s time to select the community choice for the project Most Likely to Save The Planet. DO THAT HERE.

With that said, here are the projects voted by the hackaday.io community that are the Most Likely To Be Widely Used:

CommunityVoting1

The projects voted Most Likely To Be Widely Used by the hackaday.io community are, in order:

Congratulations everyone who was voted to the top. These projects will be getting a fancy Hackaday Prize t-shirt that even I don’t have.

Round Two: Most Likely To Save The Planet

Right now we’re in the middle of the second round of voting. The theme is “Most Likely To Save The Planet”. How do you pick which projects you think are most likely to save the planet? Head on over to the voting page and pick some projects.

Next Friday, around 22:00 UTC, I’m going to go through the voting database and pick a random person on hackaday.io. If that person has voted in the current round of voting, they get a $1000 gift card for the Hackaday store. Your votes from the last round do not carry over. If you want a chance at winning the gift card, you need to vote this week.

At this stage in the community voting during last year’s Hackaday Prize, I calculated the cumulative probability of giving away a big prize to someone on Hackaday.io who voted. The result was about 0.70. We ended up giving away an oscilloscope, a Bukito 3D printer, an awesome power supply, and a goodie bag filled with programmers, bench tools, and dev boards. That’s four winners, when I originally guessed we would have had – maybe – one winner. We’re going to give away a gift card for the Hackaday Prize eventually, the only question is if you’re going to vote or not. Vote now.

If you are incapable of understanding how this works, here’s a video tutorial on how to vote. Vote now, and good luck to everyone who has a project up in the Hackaday Prize.


The 2015 Hackaday Prize is sponsored by:

Hackaday Prize Entry: An Urban Kitchen Garden

[Eric] is used to growing his own food, and looked at the commercial options for growing veggies and herbs year round. It turns out the commercial options are terrible, with proprietary lighting, proprietary ‘seed pods,’ and no climate control.

Unsatisfied with the commercial options, [Eric] looked for a DIY solution. His entry for The Hackaday Prize is just that: an Urban Kitchen Garden.

The Urban Kitchen Garden was a peltier wide cooler in its former life, turned into a grow chamber with LED grow lights, an Arduino, a DHT11 temperature and humidity sensor, a soil moisture sensor, and an old Nokia LCD to keep track of everything. He’s been growing basil in it over the winter, and it just won’t die.

[Eric] won’t be growing tomatoes or beans in his tiny, desktop-sized garden, but it’s not really designed for that. It’s meant for herbs and seedlings, mostly, with larger plants moved outside when [Eric]’s Canadian winters finally subside.

There’s a video of the build, you can check that out below.


The 2015 Hackaday Prize is sponsored by:

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Hackaday Prize Entry: A Reagent Robot

If you’re testing the amount of ammonia, nitrates, or just the pH of a pond, pool, or aquaculture setup, there’s two ways to do it. The first is with test tubes and chemicals: put some water in the test tube, add some chemicals, and match it to a color card. The second option is with expensive sensors.

[James] has a better idea. Since pumps, RGB LEDs, and light sensors exist, he’s building a reagent robot that will be able to measure ammonia, chlorine, nitrates, and pH without purely electronic sensors. The idea is to fill a clear container with water, add those fancy chemicals that come from aquarium supply stores, and measure the color of the water.

Right now, [James] has a bunch of stepper motors, valves, and solenoids all working together to pump water into his clear container. The next step will be to mount some RGB LEDs, a light sensor, and calibrate everything so colors can be measured.

It’s a great idea for electronic monitoring of aquaponics, ponds, and aquariums; those indicator chemicals are pretty inexpensive compared to electronic sensors, and once [James] has one measurement/reagent working, adding another is just a matter of putting in a few more tubes and pumps. You can check out a video of the progress so far below.


The 2015 Hackaday Prize is sponsored by:

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Hackaday Prize Entry: HOMER, A 2D GPU For Microcontrollers

Just about the hardest thing you’ll ever do with a microcontroller is video. The timing must be precise, and even low-resolution video requires relatively large amounts of memory, something microcontrollers don’t generally have a lot of. HDMI? That’s getting into microcontroller wizard territory.

Despite these limitations, [monnoliv] is working on a GPU for microcontrollers. It outputs 1280×720 over HDMI, has a 24 bit palette, and 2D hardware acceleration.

It’s a very interesting project; usually, if you want graphics and a display in a project, you’re looking at a Linux system, and all the binary blobs and closed source drivers that come with that. [monnoliv]’s HOMER video card doesn’t need Linux, and it doesn’t need a very high-powered microcontroller. It’s just a simple SPI device with a bunch of memory and an FPGA that turns the most minimal microcontroller into a machine that can output full HD graphics.

This isn’t the only open source graphics card for microcontrollers in the Hackaday Prize; just a few days ago, we saw VGAtonic, another SPI-controlled video card for microcontrollers, this time outputting VGA instead of HDMI. Both are excellent projects, and if either makes it into production, they’ll both be cheap: under $100 for both of them. Just the thing if you want to play around with high-resolution video without resorting to Linux.


The 2015 Hackaday Prize is sponsored by: