Hardware Heroes: Tim Hunkin

If you were an engineering student around the end of the 1980s or the start of the 1990s, your destiny most likely lay in writing 8051 firmware for process controllers or becoming a small cog in a graduate training scheme at a large manufacturer. It was set out for you as a limited set of horizons by the university careers office, ready for you to discover as only a partial truth after graduation.

But the chances are that if you were a British engineering student around that time you didn’t fancy any of that stuff. Instead you harboured a secret dream to be [Tim Hunkin]’s apprentice. Of course, if you aren’t a Brit, and maybe you are from a different generation, you’ll have responded quizzically to that name. [Tim Hunkin]? Who?

[Tim Hunkin] is a British engineer, animator, artist and cartoonist who has produced a long series of very recognisable mechanical devices for public display, including clocks, arcade machines, public spectacles, exhibits and collecting boxes for museums, and much more. He came to my attention as an impressionable young engineer with his late 1980s to early 1990s British TV series  The Secret Life Of Machines, in which he took everyday household and office machines and appliances and explained and deconstructed them in an accessible manner for the public.

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Evezor Robotic Arm Engraves 400 Coasters

When you’re running a Kickstarter for a robotic arm, you had better be ready to prove how repeatable and accurate it is. [Andrew] has done just that by laser engraving 400 wooden coasters with Evezor, his SCARA arm that runs on a Raspberry Pi computer with stepper control handled by a Smoothieboard.

Evezor is quite an amazing project: a general purpose arm which can do everything from routing circuit boards to welding given the right end-effectors. If this sounds familiar, that’s because [Andrew] gave a talk about Evezor at Hackaday’s Unconference in Chicago,

One of the rewards for the Evezor Kickstarter is a simple wooden coaster. [Anderw] cut each of the wooden squares out using a table saw. He then made stacks and set to programming Evezor. The 400 coasters were each picked up and dropped into a fixture. Evezor then used a small diode laser to engrave its own logo along with an individual number. The engraved coasters were then stacked in a neat output pile.

After the programming and setup were complete, [Andrew] hit go and left the building. He did keep an eye on Evezor though. A baby monitor captured the action in low resolution. Two DSLR cameras also snapped photos of each coaster being engraved. The resulting time-lapse video can be found after the break.

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Wrap Your Mind Around Neural Networks

Artificial Intelligence is playing an ever increasing role in the lives of civilized nations, though most citizens probably don’t realize it. It’s now commonplace to speak with a computer when calling a business. Facebook is becoming scary accurate at recognizing faces in uploaded photos. Physical interaction with smart phones is becoming a thing of the past… with Apple’s Siri and Google Speech, it’s slowly but surely becoming easier to simply talk to your phone and tell it what to do than typing or touching an icon. Try this if you haven’t before — if you have an Android phone, say “OK Google”, followed by “Lumos”. It’s magic!

Advertisements for products we’re interested in pop up on our social media accounts as if something is reading our minds. Truth is, something is reading our minds… though it’s hard to pin down exactly what that something is. An advertisement might pop up for something that we want, even though we never realized we wanted it until we see it. This is not coincidental, but stems from an AI algorithm.

At the heart of many of these AI applications lies a process known as Deep Learning. There has been a lot of talk about Deep Learning lately, not only here on Hackaday, but all over the interwebs. And like most things related to AI, it can be a bit complicated and difficult to understand without a strong background in computer science.

If you’re familiar with my quantum theory articles, you’ll know that I like to take complicated subjects, strip away the complication the best I can and explain it in a way that anyone can understand. It is the goal of this article to apply a similar approach to this idea of Deep Learning. If neural networks make you cross-eyed and machine learning gives you nightmares, read on. You’ll see that “Deep Learning” sounds like a daunting subject, but is really just a $20 term used to describe something whose underpinnings are relatively simple.

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The GNU GPL Is An Enforceable Contract At Last

It would be difficult to imagine the technological enhancements to the world we live in today without open-source software. You will find it somewhere in most of your consumer electronics, in the unseen data centres of the cloud, in machines, gadgets, and tools, in fact almost anywhere a microcomputer is used in a product. The willingness of software developers to share their work freely under licences that guarantee its continued free propagation has been as large a contributor to the success of our tech economy as any hardware innovation.

Though open-source licences have been with us for decades now, there have been relatively few moments in which they have been truly tested in a court. There have been frequent licence violations in which closed-source products have been found to contain open-source software, but they have more often resulted in out-of-court settlement than lengthy public legal fights. Sometimes the open-source community has gained previously closed-source projects, as their licence violations have involved software whose licence terms included a requirement for a whole project in which it is included to have the same licence. These terms are sometimes referred to as viral clauses by open-source detractors, and the most famous such licence is the GNU GPL, or General Public Licence. If you have ever installed OpenWRT on a router you will have been a beneficiary of this: the project has its roots in the closed-source firmware for a Linksys router that was found to contain GPL code.

Now we have news of an interesting milestone for the legal enforceability of open-source licences, a judge in California has ruled that the GPL is an enforceable contract. Previous case-law had only gone as far as treating GPL violations as a copyright matter, while this case extends its protection to another level.

The case in question involves a Korean developer of productivity software, Hancom Office, who were found to have incorporated the open-source Postscript and PDF encoder Ghostscript into their products without paying its developer a licence fee. Thus their use of Ghostscript falls under the GPL licencing of its open-source public version, and it was  on this basis that Artifex, the developer of Ghostscript, brought the action.

It’s important to understand that this is not a win for Artifex, it is merely a decision on how the game can be played. They must now go forth and fight the case, but that they can do so on the basis of a contract breach rather than a copyright violation should help them as well as all future GPL-licenced developers who find themselves in the same position.

We’re not lawyers here at Hackaday, but if we were to venture an opinion based on gut feeling it would be that we’d expect this case to end in the same way as so many others, with a quiet out-of-court settlement and a lucrative commercial licencing deal for Artifex. But whichever way it ends the important precedent will have been set, the GNU GPL is now an enforceable contract in the eyes of the law. And that can only be a good thing.

Via Hacker News.

GNU logo, CC-BY-SA 2.0.

Gravity Defying Drips Of A Bike Pump Controlled Fountain

People love to see a trick that fools their senses. This truism was in play at the Crash Space booth this weekend as [Steve Goldstein] and [Kevin Jordan] showed off a drip fountain controlled by a bike pump.

These optical illusion drip fountains use strobing light to seemingly freeze dripping water in mid-air. We’ve seen this before several times (the work of Hackaday alum [Mathieu Stephan] comes to mind) but never with a user input quite as delightful as a bike pump. It’s connected to an air pressure sensor that is monitored by the Arduino that strobes the lights. As someone works the pump, the falling droplets appear to slow, stop, and then begin flowing against gravity.

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Bitcoin Price Ticker

Are you a Bitcoin miner or trader, but find yourself lacking the compulsive need to check exchange rates like the drug-fuelled daytraders of Wall Street? Fear not – you too can adorn your home or office with a Bitcoin Price Ticker! The post is in Italian but you can read a translated version here.

It’s a straightforward enough build – an Arduino compatible board with an onboard ESP8266 is hooked up with an HD44780-compatible LCD. It’s then a simple matter of scraping the Bitcoin price from the web and displaying it on the LCD. It’s a combination of all the maker staples, tied together with some off-the-shelf libraries – it’s quick, and it works.

[Ed: Oh boo!  The images of the LCD were photoshopped.  Please ignore the next paragraph.]

What makes the build extra nice is the use of custom characters on the LCD. The HD44780 is a character based display, and this project appears to use a screen with two lines of sixteen characters each. However, a custom character set has been implemented in the display which uses several “characters” on the screen to create a single number. It’s a great way to make the display more legible from a distance, as the numbers are much larger, and the Bitcoin logo has been faithfully recreated as well. It’s small touches like this that can really set a project apart. We’d love to see this expanded to display other financial market information and finished off in a nice case.

If you’re wondering what you can actually do with Bitcoin, check out the exploits of this robotic darknet shopper. Oh, and Microsoft will take them, too.

A MIDI Harmonica

MIDI, or Musical Instrument Digital Interface, has been the standard for computer control of musical instruments since the 1980s. It is most often associated with electronic instruments such as synthesisers, drum machines, or samplers, but there is nothing to stop it being applied to almost any instrument when combined with the appropriate hardware.

[phearl3ss1] pushes this to the limit by adding MIDI to the most unlikely of instruments. A harmonica might seem to be the ultimate in analogue music, yet he’s created an ingenious Arduino-powered mechanism to play one under MIDI control.

The harmonica itself is mounted on a drawer slide coupled to a wheel taken from a pool sweeper and powered by a motor  that can move the instrument from side to side with a potentiometer providing positional feedback to form a simple servo. The air supply comes from a set of three bellows driven via a crank from another motor, and is delivered by what looks like a piece of PVC pipe to the business end of the harmonica.

The result is definitely a playable MIDI harmonica, though it doesn’t quite catch the essence of the human-played instrument. Judge for yourselves, he’s posted a build video which we’ve placed below the break.

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