Hackaday Prize Entry: Visualizing Magnetic Fields

In 1820, Hans Christian Oersted discovered the needle of a compass would deflect when placed next to a wire carrying an electric current. It took 15 years for the first electric motor to be invented following this observation. Humans are dumb, but perhaps they wouldn’t be so oblivious to the basic facts of our reality if they could see magnetic fields. Or if they just had a 3D printer. For his Hackaday Prize entry, [Ted Yapo] is doing just this: adding a magnetic field scanner to a 3D printer, allowing for the visualization of magnetic fields in three dimensions.

The device [Ted] is working on is actually extremely simple, and is mostly implemented in software. The hardware is just a 3D printer with a toolhead consisting of a HMC5883L magnetometer breakout board. This is the simplest and easiest way to find the direction and intensity of a magnetic field, the rest of the work is done in software.

Right now, [Ted] has a setup that will scan a 3D volume with a printer. By placing a magnet in the middle of the print bed, he can visualize the magnetic field inside the volume of his 3D printer. It’s a visualization that is vastly superior to a compass, ferrofluid, or even a mess of iron filings, and is surely a much better pedagogical apparatus for classrooms and science museums alike.

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Hackaday Prize Entry: Electronic, Visual Harmonicas

[sholnkin] is tasked with teaching a kindergarten class how to play a musical instrument. No, not those cheap plastic recorders. [shlonkin] is teaching kindergarteners how to play the only instrument that both blows and sucks: the harmonica.

Unlike a classroom of kids with plastic recorders, where the fingering is either right or it isn’t, [shlonkin] needs to teach kids to put their mouth over the right hole, and suck or blow to produce a note. The classroom has a poster laying out the notes on the harmonica, but they needed something better. [shlonkin] envisioned a large illuminated sign that lit up in different colors, and could play the displayed notes with a speaker.

The high-level design for this project includes a Teensy 3.2 with the Audio Adapter breakout driving a small audio amp. The Teensy also controls a bunch of LEDs mounted inside a wooden case. The layout of these LEDs went surprisingly well, and it’s rare to find a backlit panel that is lit this evenly.

As a classroom musical teaching aid, this type of device has been around for decades – deep in the recesses of band rooms in schools across the world, you can find old Wurlitzer pianos with devices that aren’t much different from this simple device. It’s a pedagogical method that worked back then, and should work now.

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Hackaday Advises The United Nations

The Convention on the Rights of Persons with Disabilities is being held this week at the United Nations in New York and Hackaday will be there. Sophi Kravitz is representing us as the conference discusses assistive technology.

Sophi’s panel is Thursday mid-day, entitled: Tec Talk: Brilliant New Designs in Assistive Technology, Ease of Use & Multimedia. The Hackaday community has become a world leader in thinking about new designs, implementations, and increased availability of assistive technologies. We’re really excited to have an organization like the UN recognize this trait. Congratulations on all of you who have spent time thinking about ways to make life better for a lot of people — you are making a difference in the world.

Most notable in this category is Eyedrivomatic, the eye-controlled electric wheelechair extension project which was selected as the winner of the 2015 Hackaday Prize. Awarded second prize last year was another notable project. OpenBionics designed an open source, easily manufactured, prosthetic hand. Hand Drive, a Best Product finalist from last year, developed a device to operate a wheelchair with a rowing motion. Like we said, the list goes on and on.

But of course our biggest accomplishments lie ahead. The 2016 Hackaday Prize is currently underway and again focusing on building something that matters. The current challenge is Citizen Scientist which focuses on making scientific experimentation, equipment, and knowledge more widely available. But on August 22nd we turn our sights to the topic of Sophi’s UN Panel as the Hackaday Prize takes on Assistive Technologies. Don’t wait until then, make this the summer you change peoples’ lives. Start your design now.

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Hackaday Prize Entry: Micro Robots For Education

[Joshua Elsdon] and [Thomas Branch] needed a educational hardware platform that would fit into the constrained spaces and budgets of college classes. Because nothing out there that was cheap, simple and capable enough to fit their program, the two teachers for robotics at the Imperial College Robotics Society set out to build their own – and entered the Hackaday Prize with a legion of open source Micro Robots.

These small robots have a base area of 2 cmand a price tag of about £10 (about $14) each, once they are produced in quantities. They feature two onboard stepper motors, an RGB-LED, battery, a line-following sensor, collision-sensors and a bidirectional infrared transmitter for communicating with a master system, the ‘god bot’. The master system is based on a Raspberry Pi with little additional hardware. It multiplexes the IR-communication with all the little robots and simultaneously tracks their position and orientation through a camera, identifying them via their colored onboard LED. The master system also provides a programming interface for the robots, so that no firmware flashing procedure is required for students to get their code running. This is a well-designed, low-cost multi-robot system, and with onboard sensors, stepper motor odometry, and absolute positioning feedback, these little robots can be taught quite a few tricks.

Building tiny robots comes with a lot of regular-sized challenges, and we’re delighted to follow [Joshua Elsdon] and [Thomas Branch] on their journey from assembling the tiny PCBs over experimenting with 3D printing and casting techniques to produce the tiny wheels to the ROS programming. The diligent duo is present in the Hackaday prize twice: With their own Micro Robots project and with their contribution to the previously covered ODrive – an open source BLDC servo controller. We are already curious about their next feat! The below video shows a successful test of the camera feedback integration into the ROS.

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Hackaday Prize Entry: 8-Bit Arduino Audio For Squares

A stock Arduino isn’t really known for its hi-fi audio generating abilities. For “serious” audio like sample playback, people usually add a shield with hardware to do the heavy lifting. Short of that, many projects limit themselves to constant-volume square waves, which is musically uninspiring, but it’s easy.

[Connor]’s volume-control scheme for the Arduino bridges the gap. He starts off with the tone library that makes those boring square waves, and adds dynamic volume control. The difference is easy to hear: in nature almost no sounds start and end instantaneously. Hit a gong and it rings, all the while getting quieter. That’s what [Connor]’s code lets you do with your Arduino and very little extra work on your part.

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Hackaday Prize Entry: Controling E-ZPass

You can drive from Boston to Chicago without picking up a single ticket from a toll booth, or handing money to a single toll booth worker. You can do this because of E-ZPass, a small plastic brick mounted in most cars in the Northeast United States. The E-ZPass contains an RFID transponder linked to your checking account. Yes, it’s convenient, and yes, it is a way for the government to track your movements remotely without your knowledge.

For his Hackaday Prize entry, [Jordan] is peering into that suspicious white box on his dashboard and adding notifications to his E-ZPass. He’s upgraded his E-ZPass with a little bit of circuitry to his to notify him when it is being scanned, whether it’s at a turnpike plaza or just driving three blocks through midtown Manhattan.

A notification system for the E-ZPass brick has been around for a few years now thanks to a talk by [Pukingmonkey] at DEF CON. Because of this simple circuit, we know the NYPD is collecting E-ZPass data of people driving around Manhattan. Why? Something something sovereign citizen or thereabouts.

[Jordan] is taking the E-ZPass notification system a bit farther than previous builds and adding a logging functionality with a small GPS module. Of course [Jordan]’s build will still have blinkey LEDs for notifying him when the E-ZPass is read, but by logging this data to an SD card, he’ll be able to play a road trip back on his computer and do a proper expense report. Security research while collecting expense data; it doesn’t get better than that.

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Hackaday Prize Entry: Automatic Digital Microscope

Ziehl-Neelsen Sputum Smear Microscopy (ZN) is one of most common methods for diagnosing Tuberculosis. On the equipment side, it requires not much more than an optical microscope, although it still needs a trained professional to look through the glass, identify and count the number of bacteria in a sample. To provide reliable and effective Tuberculosis diagnostic to regions, where both equipment and trained personnel is in short supply, [Rodrigo Loza] and [khalilnallar] are developing an automated digital microscope based on computer vision and machine learning, their entry for the Hackaday Prize.

automated_microscope_detection_1They started out gathering images of Tuberculosis bacteria from the internet and experimented with color threshold algorithms to detect dyed bacteria, as well as algorithms for counting individual and clusters of bacteria. This process alone can, according to the team, take a trained professional 30 minutes or more. A graphical interface highlights identified bacteria and reads the bacteria count.

[Rodrigo Loza] and [khalilnallar] are testing their device at the Dr. Roberto Galindo Teran hospital in Cobija, Bolivia. However, getting access to a lab environment is one thing, and being given access to a steady supply of fresh M. Tuberculosis samples is another. Unable to obtain samples, which they need to test their algorithms on live subjects, they turned to another front of their project: The hardware. In several iterations, they developed a low-cost, 3D-printable kit, which transforms a laboratory-grade optical microscope into an embedded CNC-controlled microscopy platform. Their kit comprises three stepper-motor-based axis for the X, Y and Z direction, as well as a webcam mount. An Intel Edison and a custom, Arduino compatible shield control the system to achieve features such as homing procedures, autofocus and bacteria detection.

The team is currently in the process of refining their bacteria detection pipeline, exploring the feasibility of semi-automated detection methods, machine learning and neural networks for classification of bacteria within the hardware constraints. The video below shows their latest update on the Z-axis of their microscope.

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