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Thanksgiving 2.0: TurkeyTracker.com

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Get ready to bookmark this, people: Turkey Tracker is a collaborative webcast of a Thanksgiving turkey being cooked in a smoker in Portland, Oregon. The smoking starts at 9am (Pacific time) on Thanksgiving Day, and involves:

• Two cameras trained on the smoker, broadcasting live video (via Ustream)
• A USB thermometer inside the turkey that automatically posts its temperature readings to Twitter (read more on this at MAKE)
• Live chat alongside the video (also via Ustream)
Flickr photos of the bird taken throughout the day
Community photos of other turkey cooking events happening at other locations
• A Turkey Tracker Blog with more details and an FAQ.

This isn't your parents' Yule Log, folks. The turkey revolution will be televised. Now you can talk turkey...online. Okay, the puns will stop now. But I'm telling you, it will be worth your while to check out TurkeyTracker.com on Thursday. Whether you just sit back and watch the Portland turkey smoke or you join in the chat, Twitter experience, or Flickr pool -- this is definitely the wired way to enjoy Thanksgiving. Here's a snippet from the Turkey Tracker FAQ that shows some serious geek cred (pictured: graph from a test run of the USB thermometer):

7. How do you track the temperature?

Turkey Tracker graph - 2007This year, we're using Type-K thermocouples from Omega Engineering in Connecticut--they're a provider of industrial sensors and process control equipment. Our ambient and smoker temperature sensors are bolt-on thermocouples with glass-insulated wire rated to 480degC (900degF). The probe for the turkey itself is a custom ordered probe that has a advanced ceramic insulation made by 3M that's rated to 1200degC (2200degF). The thermocouples generate a current proportional to the temperature, which we amplify with an Analog Devices AD595 chip. The AD595 is then connected to an Arduino microcontroller board that is programmed to output the temperature, in Celsius, over USB. We have a ruby script that collects the data on the serial line and converts it to Fahrenheit. For graphing, we use RRDTool. The data is polled every minute. The steps you see in the graph also depict minute intervals.

Our obsession with high-temperature rated materials is due to events last year that caused us to lose sensors twice during the cooking process in a very dramatic fashion. Besides, we haven't had a chance to buy export-restricted thermally-insulated sensors before.

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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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Opening Ceremony
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These $425 Jeans Can Turn Into Jorts
May 19, 2017
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Opening Ceremony

Modular clothing used to consist of something simple, like a reversible jacket. Today, it’s a $425 pair of detachable jeans.

Apparel retailer Opening Ceremony recently debuted a pair of “2 in 1 Y/Project” trousers that look fairly peculiar. The legs are held to the crotch by a pair of loops, creating a disjointed C-3PO effect. Undo the loops and you can now remove the legs entirely, leaving a pair of jean shorts in their wake. The result goes from this:

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Opening Ceremony

To this:

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Opening Ceremony

The company also offers a slightly different cut with button tabs in black for $460. If these aren’t audacious enough for you, the Y/Project line includes jumpsuits with removable legs and garter-equipped jeans.

[h/t Mashable]

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