Face ID Defeated With 3D Printed Mask (Maybe)

November 14, 2017 by Tom Nardi 44 Comments

Information about this one is still tricking in, so take it with a grain of salt, but security company [Bkav] is claiming they have defeated the Face ID system featured in Apple’s iPhone X [Dead link, try the Internet Archive]. By combining 2D images and 3D scans of the owner’s face, [Bkav] has come up with a rather nightmarish creation that apparently fools the iPhone into believing it’s the actual owner. Few details have been released so far, but a YouTube video recently uploaded by the company does look fairly convincing.

For those who may not be keeping up with this sort of thing, Face ID is advertised as an improvement over previous face-matching identification systems (like the one baked into Android) by using two cameras and a projected IR pattern to perform a fast 3D scan of the face looking at the screen. Incidentally, this is very similar to how Microsoft’s Kinect works. While a 2D system can be fooled by a high quality photograph, a 3D based system would reject it as the face would have no depth.

[Bkav] is certainly not the first group to try and con Apple’s latest fondle-slab into letting them in. Wired went through a Herculean amount of effort in their attempt earlier in the month, only to get no farther than if they had just put a printed out picture of the victim in front of the camera. Details on how [Bkav] managed to succeed are fairly light, essentially boiling down to their claim that they are simply more knowledgeable about the finer points of face recognition than their competitors. Until more details are released, skepticism is probably warranted.

Still, even if their method is shown to be real and effective in the wild, it does have the rather large downside of requiring a 3D scan of the victim’s face. We’re not sure how an attacker is going to get a clean scan of someone without their consent or knowledge, but with the amount of information being collected and stored about the average consumer anymore, it’s perhaps not outside the realm of possibility in the coming years.

Since the dystopian future of face-stealing technology seems to be upon us, you might as well bone up on the subject so you don’t get left behind.

Thanks to [Bubsey Ubsey] for the tip.

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A Sandbox For DIY Pinball Design

November 11, 2017 by Kristina Panos 21 Comments

If you’ve always wanted to build your own pinball machine but have no idea where to start, this is the project for you. [Chris] is in the process of building a 3/4 size pinball table and is currently in the waiting-for-parts stage. As they arrive, he is testing them in a sandbox he built in an afternoon. Let [Chris]’s proving ground be your quick-start guide to all the ways you could approach the two most important parts of any pin: the flippers and targets.

The field of play is a sturdy piece of particle board, and the cardboard walls are attached with hot glue. [Chris] designed and printed a pair of flippers that are driven by some cheap remote door lock motors he found at a popular online auction house. You can see how snappy are in the test video after the break.

We love the crisp action and elegant simplicity of the spring-loaded drop targets [Chris] designed. Right now he resets them manually, but soon they will be reset by a solenoid or maybe a motor. We can’t wait to see how the table turns out. In the meantime, we’ll have to go back to drooling over this amazing life-size 3D-printed pinball machine.

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3D-Printed Robot Golem Only A Tiny Bit Creepy

November 9, 2017 by John Baichtal 13 Comments

ASPIR, the Autonomous Support and Positive Inspiration Robot is an goblin-sized robot, designed by [John Choi], aims to split the difference between smaller hobbyist robots and more robust but pricy full-sized humanoids only a research institute could afford. By contrast, [John] estimates it cost a relatively meager $2,500 to create such a homunculus.

The robot consists of 33 servos of various types moving the limb, controlled by an Arduino Mega with a servo control shield seated on it. The chassis uses 5 kg of filament and took 300 hours to print, and it has a skeleton made up of aluminum hex rods. Spring-loaded RC shocks help reinforce the shoulders. There are some nice touches, like 3D-printed hands with living hinge fingers, each digit actuated by a metal-gear micro servo. It stores its power bricks in its shins. For sensors it includes a chest-mounted webcam and a laser distance sensor.

The main design feature is the Android smartphone serving as its brains, and also — at least cosmetically — its eyes. Those eyes… might be just a teensy bit too Chucky for our taste. (Nice work, [John]!)

SimpleSumo Bots Teach More Than Fighting

October 28, 2017 by Kristina Panos 2 Comments

[MechEngineerMike] wrote in to share the enthusiasm over SimpleSumo, a series of open source, customizable robots he designed for mini-sumo battling and much more. For the unfamiliar, mini-sumo is a sport where two robots try to push each other out of a ring. [Mike]’s bots are simplified versions designed for education.

[Mike] was inspired by a video of some kids building mini-sumo bots who were doing anything and everything to personalize them. He vowed to make his own affordable, easy-to-build bots with education firmly in mind. His other major requirement? They had to be as easily customizable as that one potato-based toy that eventually came with a bucket of parts. As of this writing, there are 34 interchangeable accessories.

[Mike]’s first idea was to build the bots out of custom 3D-printed building blocks. He soon found it was too much work to print consistent blocks and switched to a modular cube-like design instead. SimpleSumo bots can do much more than just fight each other. [Mike] has written programs to make them flee from objects, follow lines, find objects and push them out of the ring, and beep with increasing frequency when an object is detected.

The bots are completely open source, but [Mike] sells kits for people who can’t print the parts themselves. He’s made a wealth of information available on his website including links to outside resources about mini-sumo, Arduino, programming, and 3D design. How about a complete series of assembly videos? First one is after the break. Don’t know how to build a battle ring? He’s got that covered, too.

For a sumo bot that’s more brains than brawn, check out Zumo Red, the smart sumo.

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Neural Network Really Ties The Room Together

October 27, 2017 by Tom Nardi 21 Comments

If there’s one thing that Hollywood knows about hackers, it’s that they absolutely love data visualizations. Sometimes it’s projected on a big wall (Hackers, WarGames), other times it’s gibberish until the plot says otherwise (Sneakers, The Matrix). But no matter what, it has to look cool. No hacker worth his or her salt can possibly work unless they’ve got an evolving Venn diagram or spectral waterfall running somewhere in the background.

Inspired by Hollywood portrayals, specifically one featured in Avengers: Age of Ultron, [Zack Akil] decided it was time to secure his place in the pantheon of hacker wall visualizations. But not content to just show meaningless nonsense on his wall, he set out to create something that was at least showing actual data.

[Zack] created a neural network to work through multi-label classification data in Python using the scikit-learn machine learning suite. The code takes the values from the neutral network training algorithm and converts them to RGB colors by way of an Arduino. Each “node” in the neutral network is 3D printed in translucent filament, and fitted with an RGB LED module. These modules are then connected to each other via side-glow fiber optic tubes, so that the colors within the tubes are mixed depending on the colors of the nodes they are attached to. This allows for a very organic “growing” effect, as colors move through the network node-by-node.

In the end this particular visualization doesn’t really mean anything; the data it’s working on only exists for the purposes of the visualization itself. But [Zack] succeeded in creating a practical visualization of machine learning, and if you’re the kind of person who needs to keep tabs on learning algorithms, some variation of this design may be just what you’re looking for.

If AI isn’t your thing but you still want a wall of RGB LEDs, maybe you can use this phased array antenna visualizer instead. If you’re really hip, maybe you’ll go the analog route and put a big gauge on the wall.

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DIY Laptop Aims For Complete Hardware Freedom

October 24, 2017 by Tom Nardi 29 Comments

Open source software has unquestionably gone from fringe idealism to mainstream, even if the average person doesn’t really know it. From their web browser to their smartphone operating system, more people are running open source software today than at any other time in the history of computing, and the numbers are only getting bigger. While we can debate how well some companies are handling their responsibilities to the open source community, overall this is probably a lot closer to an open source utopia that many of us ever believed we’d get.

For argument’s sake, let’s say the software is settled. What’s next? Well, if we’ve got all the open source software we could ever ask for, naturally we now need to run it on open source hardware. Just like our software, we want to see how it works, we want to modify it, and to fix it ourselves if we want. These goals are precisely what [Lukas Hartmann] had in mind when he started work on Reform, the latest entry in the world of fully open source laptops.

Like the Novena that came before it, the Reform leverages the four-core ARM Cortex-A9 NXP i.MX6 SoC to deliver tablet-level performance, though [Lukas] mentions the design may migrated to the upgraded six-core version of the chip in the future which should give it a little more punch. The SoC is paired with the Vivante GC2000 GPU which can be used under Linux without any binary blobs. Most hardware is connected to the system via the USB 2.0 bus, though networking is provided by a ThinkPenguin mini PCI-e wireless adapter, and on-board SATA handles the 128 GB SSD.

While the internals are relatively run-of-the-mill these days, the work that [Lukas] has done on the case and input devices is definitely very impressive. He partnered with industrial designer [Ana Dantas] to get the look and feel of the system down, and built almost everything out of 3D printed parts. Even the keyboard caps and the trackball were manufactured in house on a Formlabs Form 2. Rather than using an off-the-shelf USB HID solution, [Lukas] is using Teensy LC boards to interface the custom input hardware with the OS.

[Lukas] is still working on how and when the Reform will be made available to the public. After some refinements, the team hopes to make both kits and individual parts available, and of course put all the files up so you can build your own if you’ve got the equipment. A mockup Amazon listing for the Reform has been posted to get the public’s feedback on the look and features of the machine, and [Lukas] asks that anyone with comments and suggestions send him an email.

Between the Reform, Novena, and the Olimex, competition in the realm of DIY laptops is frankly staggering. Now we just need more people working on open hardware smartphones.

Thanks to [Adrian] for the tip.

FruitNanny: The Raspberry Pi Baby Monitor For Geeks

October 21, 2017 by Tom Nardi 14 Comments

Having a child is perhaps the greatest “hack” a human can perform. There’s no soldering iron, no Arduino (we hope), but in the end, you’ve managed to help create the most complex piece of machinery in the known galaxy. The joys of having a child are of course not lost on the geekier of our citizens, for they wonder the same things that all new parents do: how do we make sure the baby is comfortable, how many IR LEDs do we need to see her in the dark, and of course the age old question, should we do this with a web app or go native?

If you’re the kind of person who was frustrated to see that “What to Expect When You’re Expecting” didn’t even bother to mention streaming video codecs, then you’ll love FruitNanny, the wonderfully over-engineered baby monitor created by [Dmitry Ivanov]. The product of nearly two years of development, FruitNanny started as little more than a Raspberry Pi 1n a plastic lunch box. But as [Dmitry] details in his extensive write-up, the latest iteration could easily go head-to-head with products on the commercial market.

[Dmitry] gives a full bill of materials on his page, but all the usual suspects are here. A Raspberry Pi 3 paired with the official NoIR camera make up the heart of the system, and the extremely popular DHT22 handles the environmental monitoring. A very nice 3D printed case, a lens intended for the iPhone, and a dozen IR LEDs round out the build.

The software side is where the project really kicks into high gear. Reading through the setup instructions [Dmitry] has provided is basically a crash course in platform-agnostic video streaming. Even if a little bundle of joy isn’t on your development roadmap, there’s probably a tip or two you can pick up for your next project that requires remote monitoring.

It probably won’t surprise you that geeky parents have been coming up with ways to spy on their kids for some time now, and if you can believe it, some don’t even include a Raspberry Pi.