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The Moldable Mouse

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With so many people spending so much time at the computer, carpal tunnel syndrome has taken off in the last few years. Designers and engineers are fighting back with ergonomically-designed keyboards, mice, and other peripherals. One of the best purchases I ever made is a mousepad with a wrist pillow; that red streak I thought was permanent is finally gone from my wrist! But everyone has a different hand, and a different way of using it. What if you could design your own mouse? Better yet, what if you could change that design whenever you wanted?mice1.jpg

That's what the Moldable Mouse from Lite-On Technology is all about. It is made of modeling clay, covered with fabric. Knead it into any shape you like! The only rigid part is the base, where the batteries and circuit board are. Wireless technology makes it all possible, as the click buttons and scroll pad are powered by RFID and can be stuck on anywhere. Once molded, the shape is self-retaining. That is, as long as you want it to be. If you decide your shape isn't perfect after all, or when your hand gets tired and you want a change, you can mold it again.

Modern components are so small that the bulk of a mouse is only neccessary in order to fit our human hands, so it makes sense that we should be able to manipulate that bulk to fit our hands the best way possible. I see a couple of possible drawbacks. The obvious one is that you'd spend too much time playing with it and not enough time doing your actual work. That's a common problem and not a design fault. But how would you clean it? Phones, doorknobs, and keyboards are notorious germ farms because people touch them so much. A computer mouse is the same way, but a hmice2.pngard plastic mouse can be wiped off and even disinfected occasionally. A fabric-covered mouse might be pretty grungy after a year or so of daily use.

The Moldable Mouse won a red dot award for design concept in 2007. It's not yet available at your local computer shop.

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iStock // Ekaterina Minaeva
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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Name the Author Based on the Character
May 23, 2017
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