Hackaday Prize Entry: Micro Robots For Education

June 14, 2016 by 19 Comments

[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 cm2 and 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: Project Man-Cam

June 13, 2016 by 20 Comments

With cameras, robotics, VR-headsets, and wireless broadband becoming commodities, the ultimate, mobile telepresence system – “Surrogates” if you will – is just one footstep away. And this technology may one day solve a very severe problem for many disabled people: Mobility. [chris jones] sees great potential in remote experiences for disabled people who happen to not be able to just walk outside. His Hackaday Prize Entry Project Man-Cam, a clever implementation of “the second self”, is already indistinguishable from real humans.

Instead of relying on Boston Dynamic’s wonky hydraulics or buzzing FPV drones, [chris] figured that he could just strap a pan and tiltable camera to a real person’s chest or – for his prototyping setup shown above – onto a utility cart. This Man-Cam-Unit (MCU) then captures the live-experience and sends it back home for the disabled person to enjoy through a VR headset in real time. A text-based chat would allow the communication between the borrowed body’s owner and the borrower while movements of the head are mapped onto the pan and tilt mechanism of the camera.

Right now, [chris] is still working on getting everything just right, and even if telepresence robots are already there, it’s charming to see how available technology lets one borrow the abilities of the other.

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Hackaday Prize Entry: 8-Bit Arduino Audio For Squares

June 12, 2016 by 14 Comments

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

June 11, 2016 by 37 Comments

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

June 10, 2016 by 5 Comments

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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Hackaday Prize Entry: Waterspace, A Floating Hackerspace Lab

June 9, 2016 by 7 Comments

It’s a boat! It’s a hackerspace! It’s a DIY research platform and an art gallery! It’s Boat Lab!

[Andrew Quitmeyer] lead a project in the Philippines that was nominally charged with making an art and technology space. After a few days brainstorming, four groups formed and came up with projects as wide-ranging as a water-jet video screen and a marine biology lab. What did they have in common? They were all going to take place on a floating raft hackerspace in a beautiful body of water in Manila.

This is a really crazy meta-project, and any of the sub-projects would be worth their own blog post. Even more so is the idea itself — building a floating hackerspace is just cool. The write-up on Hackaday.io linked above is pretty comprehensive, and the “Waterspace” book talks a bit more about the overarching process. Boat Lab is a great entry into the Citizen Science phase of the Hackaday Prize 2016.

But we also love the idea of hackerspaces in non-traditional places. The Cairo Hackerspace is working on a van-based space. And now we’ve seen a boat. What other mobile hackerspace solutions are out there? We’d love to hear!

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Hackaday Prize Entry: The Green Machine

June 8, 2016 by 8 Comments

For Hackers, rapid prototyping is made easier using basic building blocks such as the Raspberry Pi, Arduino and the huge variety of add on shields for home brew projects. But we don’t see too many real world Industrial applications or machines built using these off-the-shelf electronics. [SlyScience] built The Green Machine – an industrial grade, automated spray painting device to help coat polycarbonate tubes consistently.

The Green Machine is essentially a linear drive that can move a spray gun across a spinning clear tube and coat it evenly with the desired color. These tubes are used as color filters – they slide over standard T5, T8 or T12 fluorescent lamps – and are used in advertising, special effects, films and similar applications. For almost 10 years prior to this machine, the task was done manually. The HPLV (high pressure, low volume) spray gun used for this process needed skilled hands to get consistent results. It was easy to ruin a tube and cleaning them was not possible. [SlyScience] figured things out on the go – teaching himself and figuring out all of the software and hardware pieces of the puzzle. The welded steel frame is about the only “custom” part in this build. Everything else is COTS. Check out the video of The Green Machine in action below, and if you have any tips to help improve the build, chime in with your comments.

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