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Praise for the blind man who invented cruise control

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THE INVENTION: Cruise control's that (wonderful, wonderful) thing that helps you avoid speeding tickets. Yup, everybody loves cruise control. Unlike many of the other ignored inventions, this handy accessory does get some acknowledgement. Unfortunately, that's only when it's either impossible to find on that little stick that turns on the blinkers, or when it's broken.

WHO TO THANK: a blind man. No, seriously! His name's Ralph Teetor, and he spent his whole life inventing things to make cars better. Teetor was blinded in a shop accident at age five, but apparently harbored no resentment for sharp tools. He went on to attend college and became one of the most respected mechanical engineers of his era. Although he was responsible for a lot of vehicular improvements, including automatic transmission, he's best known for making it possible for even lead-foots to stick to one speed. Inspiration struck during World War II, when the government set a 35 mph speed limit to conserve gas and tires—which is great and all, but some people just can't drive 35. Like, for instance, Teetor's lawyer. After a particularly bad trip during which the lawyer's jerky driving made Teetor carsick, the inventor came up with a device that could regulate car speed without the driver touching the gas pedal. A few tweaks and many dubious names (including "controlomatic" and "speedostat") later, cruise control premiered in selected 1958 Chrysler models. It was then an $86 option known as "Auto-Pilot."

BUT THE TRULY AMAZING THING IS THAT:
Teetor's blindness actually improved his ability to invent new things. In the process of learning how to function in a world he couldn't see, he developed an exceptional ability to visualize objects and guide himself via touch. In 1902, he built an automobile that let him tool around town at up to 25 mph. A neat feat by itself, but he was only 12 at the time. Later, he applied his skills to engineering and was able to solve problems sighted engineers couldn't. During World War I, he developed a new technique for balancing steam turbines on torpedo boat destroyers. Other engineers had tried for years to solve the problem, but Teetor's heightened sense of touch gave him the advantage. His expertise was so well known that he later became president of the Society of Automotive Engineers.

--note-- if you liked this entry, it's thanks to Maggie Koerth and her wonderful Inventions Cover story. I believe that issue's sold out, but other back issues of the floss are available at our online store.

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iStock // Ekaterina Minaeva
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Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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Nick Briggs/Comic Relief
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What Happened to Jamie and Aurelia From Love Actually?
May 26, 2017
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Nick Briggs/Comic Relief

Fans of the romantic-comedy Love Actually recently got a bonus reunion in the form of Red Nose Day Actually, a short charity special that gave audiences a peek at where their favorite characters ended up almost 15 years later.

One of the most improbable pairings from the original film was between Jamie (Colin Firth) and Aurelia (Lúcia Moniz), who fell in love despite almost no shared vocabulary. Jamie is English, and Aurelia is Portuguese, and they know just enough of each other’s native tongues for Jamie to propose and Aurelia to accept.

A decade and a half on, they have both improved their knowledge of each other’s languages—if not perfectly, in Jamie’s case. But apparently, their love is much stronger than his grasp on Portuguese grammar, because they’ve got three bilingual kids and another on the way. (And still enjoy having important romantic moments in the car.)

In 2015, Love Actually script editor Emma Freud revealed via Twitter what happened between Karen and Harry (Emma Thompson and Alan Rickman, who passed away last year). Most of the other couples get happy endings in the short—even if Hugh Grant's character hasn't gotten any better at dancing.

[h/t TV Guide]

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