Blue Origin Rolls Out Test Article For Next-Gen Rocket

November 22, 2021 by Tom Nardi 28 Comments

By any metric you care to use, this is a very exciting time for America’s space program. NASA is refocusing their efforts towards the Moon and beyond, SpaceX is launching routine crew and cargo flights to the International Space Station with reusable rockets, and if you’ve got deep enough pockets, there are now multiple companies offering suborbital pleasure trips requiring little more than a few hours worth of training. It’s taken longer than many people had hoped, but it seems we’re finally making the confident strides necessary to truly utilize space’s vast resources.

But things are just getting started. A new generation of massive reusable rockets are currently being developed, which promise to make access to space cheaper and faster than ever before. We’ve seen quite a bit of SpaceX’s Starship, thanks in no small part to the dramatic test flights that the media-savvy company has been regularly live streaming to YouTube. But Blue Origin, founded by Amazon’s Jeff Bezos, has been far more secretive about their New Glenn. That is, until now.

On November 8th, Blue Origin rolled out their GS1 simulator for the New Glenn’s first stage. This stand-in for the real rocket will never fly, but it’s designed to perfectly recreate the dimensions, center of gravity, and mass, of the real thing. Ground teams will use the GS1 to practice safely transporting the booster, which is approximately half the length of the Saturn V, from their production facility to Launch Complex 36 (LC-36) at Cape Canaveral. It will also be used to test the fit and function of various pieces of ground support equipment, and eventually, the second stage stacking procedure.

For the uninitiated, it might seem like this is a lot of fuss over what’s ultimately just a hollow metal tube. But the introduction of a test article such as this has traditionally been a major milestone during the design and construction of rockets and spacecraft, dating back to the “boilerplate” test capsules used during the Mercury, Gemini, and Apollo programs; a sure sign that what was just an idea is now becoming a reality.

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Hackaday Podcast 145: Remoticon Is On, Movie FX, Cold Plasma, And The Purest Silicon

November 19, 2021 by Tom Nardi 3 Comments

With literally just hours to go before the 2021 Hackaday Remoticon kicks off, editors Tom Nardi and Elliot Williams still managed to find time to talk about some of the must-see stories from the last week. There’s fairly heavyweight topics on the docket this time around, from alternate methods of multiplying large numbers to the incredible engineering that goes into producing high purity silicon. But we’ll also talk about the movie making magic of Stan Winston and some Pokemon-themed environmental sensors, so it should all balance out nicely. So long as the Russian’s haven’t kicked off the Kessler effect by the time you tune in, we should be good.

Take a look at the links below if you want to follow along, and as always, tell us what you think about this episode in the comments!

Direct download (52 MB)

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Friday: Getting Social With Discord And Bring-a-Hack

November 17, 2021 by Tom Nardi 14 Comments

With just a few days to go before the kickoff of the 2021 Hackaday Remoticon, we’re still working furiously behind the scenes to pack as much content as possible into the two day virtual event. In fact, there’s so much going on that we thought you’d appreciate getting a bit of a head start as far as planning your own personal course through the weekend goes. The event might be free, but that’s no reason not to squeeze as much out of it as you can.

Chat It Up on Discord

To begin with, you’re really going to want to join the official Hackaday Remoticon Discord server. We know some subset of the Hackaday readership would rather we used Matrix, or IRC, or maybe carefully modulated smoke signals; but at the end of the day, Discord has bubbled to the top as the defacto choice for this kind of thing. Give it a shot, you might actually like it.

The Discord server isn’t just a place for like-minded hackers to hang out and discuss the musical stylings of DJ Jackalope during the Saturday afterparty. It’s also how attendees can ask questions at the end of each presenter’s talk, as we’ll be turning off YouTube chat to keep things centralized. Even if you don’t plan on communicating with others (though you really should), the Discord server has an interactive schedule of events which will let you sign up to be notified when the talks you’ve selected are about to start, and we’ll be dropping important announcements and links in there as the event goes on.

Friday Bring-a-Hack on Gather Town

Friday night ends with a Bring-a-Hack where attendees can show off whatever they’ve been working on using Gather. It’s a video chat platform inside a virtual 2D world that looks a bit like Legend of Zelda.

Using this virtual environment, you can easily drop into an ongoing video stream simply by walking up to the presenter. Once you’ve seen enough, just walk over to the next little cluster of users. The point is to recreate the experience of stopping by a crowded after party where everyone brought some hardware project along with them to get spark conversations. Space will be limited, with ticket holders and people in Discord getting the first dibs, so keep an eye on your inbox for information about how to join.

Of course this is not the only Friday evening activity. A few weeks ago we announced that Lewin Day will be hosting Hacker Trivia, giving our beloved commenters the chance to show off your unimpeachable knowledge of technology and Hackaday history. The Friday talk stream will dump immediately into trivia, but here’s the dedicated link if you want to set a reminder for yourself.

Try It, You’ll Like It!

It’s difficult, perhaps even impossible, to truly recreate the experience of going to an in-person hacker con. But with interactive events and the latest and greatest communication software, we’re hoping the 2021 Remoticon can get pretty close. All the pieces are in place, the only thing we need now is to have a whole bunch of excited hackers to join in and have a good time. Think you can help us out?

Arduino Library Makes Digital Rain Like It’s 1999

November 17, 2021 by Tom Nardi 31 Comments

There’s going to be a new Matrix movie in theaters next month, and you know what that means: we’re about to see a whole new generation get obsessed with the franchise’s iconic “Digital Rain” effect. Thanks to modern advertisement technology, expect to see lines of glittering text pouring down the displays of everything from billboards to gas pumps pretty soon.

For those of us who’ve just been looking for an excuse to break out the old Matrix screensavers, you might as well get a jump on things using this handy Arduino library for the ESP8266 and ESP32. Developed by [Eric Nam], it lets you start up a digital rainstorm on displays supported by the TFT_eSPI library as easily as running digitalRainAnim.loop().

You can even install the library through the Arduino IDE, just open the Library Manager and search for “Digital Rain” to get started. You’ve still got to hook the display up to your microcontroller, but come on, [Eric] can’t do it all for you.

Looking at the examples, it seems like various aspects of the animation like color and speed can be configured by initializing the library with different values. Unfortunately we’re not seeing much in the way of documentation for this project, but by comparing the different examples, you should be able to get the high points.

While our first choice would certainly be a wall of green alphanumeric LED displays, we can’t help but be impressed with how easy this project makes it to spin up your own little slice of the Matrix on the workbench.

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Jigglypuff Sensor Breathes CO2 So You Don’t Have To

November 16, 2021 by Tom Nardi 3 Comments

We’ve seen a lot of environmental monitoring projects here at Hackaday. Seriously, a lot. They usually take the form of a microcontroller, a couple sensors, and maybe a 3D printed case to keep it all protected. They’re pretty similar functionally as well, with the only variation usually coming in the protocol used to communicate their bits of collected data.

But even when compared with such an extensive body of previous work, this Jigglypuff IoT environmental monitor created by [Kutluhan Aktar] is pretty unusual. Sure, the highlights are familiar. Its MH-Z14A NDIR CO2 sensor and GP2Y1010AU0F optical dust detector are read by a WiFi-enabled microcontroller, this time the Arduino Nano RP2040 Connect, which ultimately reports its findings to the user via Telegram bot. There’s even a common SSD1306 OLED display on the unit to show the data locally. All things we’ve seen in some form or another in the past.

Testing the electronics on a bread board.

So what’s different? Well, it’s all been mounted to a huge Pokémon PCB, obviously. Even if you aren’t a fan of the pocket monsters, you’ve got to appreciate that bright pink solder mask. Honestly, the whole presentation is a great example of the sort of PCB artwork we rarely see outside of the BadgeLife scene.

Admittedly, there’s a lot easier ways to get notified about the air quality inside your house. We’re also not saying that haphazardly mounting your electronics onto a PCB designed to look like a character from a nearly 20+ year old Game Boy game is necessarily a great idea from a reliability standpoint. But if you were going to do something like that, then this project is certainly the one to beat.

OpenGL Machine Learning Runs On Low-End Hardware

November 13, 2021 by Tom Nardi 16 Comments

If you’ve looked into GPU-accelerated machine learning projects, you’re certainly familiar with NVIDIA’s CUDA architecture. It also follows that you’ve checked the prices online, and know how expensive it can be to get a high-performance video card that supports this particular brand of parallel programming.

But what if you could run machine learning tasks on a GPU using nothing more exotic than OpenGL? That’s what [lnstadrum] has been working on for some time now, as it would allow devices as meager as the original Raspberry Pi Zero to run tasks like image classification far faster than they could using their CPU alone. The trick is to break down your computational task into something that can be performed using OpenGL shaders, which are generally meant to push video game graphics.

An example of X2’s neural net upscaling.

[lnstadrum] explains that OpenGL releases from the last decade or so actually include so-called compute shaders specifically for running arbitrary code. But unfortunately that’s not an option on boards like the Pi Zero, which only meets the OpenGL for Embedded Systems (GLES) 2.0 standard from 2007.

Constructing the neural net in such a way that it would be compatible with these more constrained platforms was much more difficult, but the end result has far more interesting applications to show for it. During tests, both the Raspberry Pi Zero and several older Android smartphones were able to run a pre-trained image classification model at a respectable rate.

This isn’t just some thought experiment, [lnstadrum] has released an image processing framework called Beatmup using these concepts that you can play around with right now. The C++ library has Java and Python bindings, and according to the documentation, should run on pretty much anything. Included in the framework is a simple tool called X2 which can perform AI image upscaling on everything from your laptop’s integrated video card to the Raspberry Pi; making it a great way to check out this fascinating application of machine learning.

Truth be told, we’re a bit behind the ball on this one, as Beatmup made its first public release back in April of this year. It might have flown under the radar until now, but we think there’s a lot of potential for this project, and hope to see more of it once word gets out about the impressive results it can wring out of even the lowliest hardware.

[Thanks to Ishan for the tip.]

Exploring The Healing Power Of Cold Plasma

November 12, 2021 by Tom Nardi 22 Comments

It probably won’t come as much surprise to find that a blast of hot plasma can be used to sterilize a surface. Unfortunately, said surface is likely going to look a bit worse for wear afterwards, which limits the usefulness of this particular technique. But as it turns out, it’s possible to generate a so-called “cold” plasma that offers the same cleansing properties in a much friendlier form.

While it might sound like science fiction, prolific experimenter [Jay Bowles] was able to create a reliable source of nonthermal plasma for his latest Plasma Channel video with surprisingly little in the way of equipment. Assuming you’ve already got a device capable of pumping out high-voltage, all you really need to recreate this phenomenon is a tank of helium and some tubing.

Cold plasma stopped bacterial growth in the circled area.

[Jay] takes viewers through a few of the different approaches he tried before finally settling on the winning combination of a glass pipette with a copper wire run down the center. When connected to a party store helium tank and the compact Slayer Exciter coil he built last year, the setup produced a focused jet of plasma that was cool enough to touch.

It’s beautiful to look at, but is a pretty light show all you get for your helium? To see if his device was capable of sterilizing surfaces, he inoculated a set of growth plates with bacteria collected from his hands and exposed them to the cold plasma stream. Compared to the untreated control group the reduction in bacterial growth certainly looks compelling, although the narrow jet does have a very localized effect.

If you’re just looking to keep your hands clean, some soap and warm water are probably a safer bet. But this technology does appear to have some fascinating medical applications, and as [Jay] points out, the European Space Agency has been researching the concept for some time now. Who knows? In the not so distant future, you may see a similar looking gadget at your doctor’s office. It certainly wouldn’t be the first time space-tested tech came down to us Earthlings.

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