Mirrored Music Machine Reflects Circadian Rhythms

September 15, 2020 by Kristina Panos 8 Comments

Interactive artist [Daric Gill] wrote in to share the incredible electronic sculpture he’s been working on for the past year. It’s called the Circadian Machine, and it’s a sensor-enabled mindfulness music-and-lights affair that plays a variety of original compositions based on the time of day and the circle of fifths. This machine performs some steady actions like playing chimes at the top of each hour, and a special sequence at solar noon.

This cyberpunk-esque truncated hexagonal bi-pyramid first geolocates itself, and then learns the times for local sunrise and sunset. A music module made of a Feather M4 Express and a Music Maker FeatherWing fetches astronomical data and controls the lights, speakers, and a couple of motion sensors that, when tripped, will change the lights and sounds on the fly. A separate Feather Huzzah and DS3231 RTC handle the WiFi negotiation and keep track of the time.

On top of the hourly lights and sound, the Circadian Machine does something pretty interesting: it performs another set of actions based on sunrise and sunset, basically cramming an entire day’s worth of actions between the two events, which seems like a salute to what humans do each day. Check out the build notes and walk-through video after the break, then stick around for the full build video.

The internet is rife with information just begging to be turned into art. For instance, there are enough unsecured CCTV cameras around the world with primo vantage points that you can watch a different sunrise and sunset every hour of every day.

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Hand-Stitched Keycaps For Truly Luxurious Typing

August 21, 2020 by Tom Nardi 15 Comments

We’ve seen some very unique custom keycaps recently, but nothing quite like the embroidered ones that [Billie Ruben] has been experimenting with. Using a clever 3D printed design, she’s crafted what could well be one of the most easily customizable keycaps ever made…assuming you’ve got a needle and thread handy.

The idea is to take a standard keycap blank and pop an array of 25 holes in the face. Your thread or yarn is run through these holes, allowing you to create whatever shape you wish within the 5 x 5 matrix. While it’s somewhat tight quarters on the underside of the cap, nothing prevents you from using multiple colors or even materials to do your stitching. As an added bonus, the soft threads should provide a very comfortable and particularly tactile surface to tap on.

Now the most obvious application is to simply stitch up versions of all the alphanumeric keys, but there’s clearly room for some interpretation here. [Billie] has already shown off some simple iconography like a red heart and we’re sure creative folks will have no trouble coming up with all sorts of interesting needlepoint creations to top their prized mechanical keyboards.

The intricate details necessary to make this idea work may be beyond the common desktop FDM 3D printer, so [Billie] ran these prototypes off on a resin printer (she attributes the visible layer lines to a hasty print). She’d love to hear feedback from other keyboard aficionados who’ve made the leap to liquid goo printing, so be sure to drop her a line if you print out a set of your own. It sounds like a new version is in the works which will provide a false bottom to cover the stitching from below, but functionally these should get you started.

Mixing Up Your Own Supersized Sidewalk Chalk

August 20, 2020 by Brian McEvoy 12 Comments

When folks started quarantining, chalk art spilled onto driveways and sidewalks to remind us that there’s still beauty and creative people doing what they always do. Now it’s time to strut your stuff and show your neighbors that things are greener on your slab of concrete. [friedpotatoes] has shared their giant sidewalk recipe with the world so you can paint the town red. With chalk.

Name brand sidewalk chalk is expensive considering how easy it is to make. What Big Chalk doesn’t want you to know is that the ingredients are just water, plaster of Paris, and tempera paint; meaning this project should be safe enough for the junior hackers to get some hands-on time. Some folks use food coloring instead of paint, but we know what happens to clothing when kids get their mitts on food coloring. [friedpotatoes] also includes extensive repurposing of recyclables, which is commendable.

The instructions suggest filling potato chip (crisp) tubes through a milk jug funnel to make giant pieces, but you can use any mold you like. If you have a CNC machine, it should be no trouble to make stamp-like pieces of chalk for tagging on the go, or shapes like arrows when you have to direct a miniature parade.

For permanent and precise sidewalk decorations, you can check out a graffiti paint machine and for totally temporary messages there is a water-dispensing writer.

Modular Vibrating ‘Bots Made From PCBs

August 10, 2020 by Lewin Day 2 Comments

Printed circuit boards, they’re a medium designed primarily to mount electrical components with the wires themselves places as copper traces on the boards. To accommodate wide range of needs that have arisen over decades, board houses have evolved all manner of advanced techniques in routing and plating. To our benefit, this also makes it possible to leverage PCBs in an entirely artistic way, taking advantage of the highly-optimized manufacturing process. [GeeekClub] did just that, creating awesome vibrating robots out of custom-made PCBs.

The ‘bots come as a single PCB, with the parts snapped out akin to removing parts from sprues in a plastic model kit. They can then be assembled, with a pair of pager vibration motors installed to provide motive power. But really it’s the aesthetic of the boards and not the functionality that make these so incredible.

The design nestles a coin cell in the base of each bot, providing power and using the weight to help keep them upright. There’s a smattering of LEDs on board, and the art style of the ‘bots draws from Hopi Indian, Asian, and South American influences.

Cyphercon 2017 featured these exciting cubic badges, created from PCBs and soldered by hand.

This Star Trek inspired piece shows just how far you can go with the right color soldermask and some creativity.

This “flat-pack” style of PCB design that comes to life with creative use of angles and layers is becoming its own sub-genre of the art. The Star Trek Enterprise inspired build in another great example. We’ve also seen a growing trend of using the PCB as enclosures, take the Cyphercon badge and Queercon badge projects from 2017 as examples. Get yourself up to speed on design techniques for using FR4 as an enclosure from [Voja Antonic’s] in-depth guide.

Print With Plasma!

August 8, 2020 by Jenny List 29 Comments

Over the years there have been a variety of methods for a computer to commit its thoughts to paper. Be it a daisy wheel, a dot matrix, a laser, or an inkjet, we’ve all cursed at a recalcitrant printer. There’s another type of printer that maybe we don’t think of quite as often but is workhorse in a million cash registers and parking ticket machines: the thermal printer. These mechanisms can be readily found as surplus items and have made their way into more than one project here over the years. [HomoFaciens] has taken thermal printing a step further by building a plasma printer from scratch that makes use of the thermal paper.

A thermal printer does its job as its name suggests, by burning the image into the paper. It may not deliver the best quality print, but scores on not needing ink ribbons, cartridges, or toner. This DIY version uses an off-the-shelf battery-powered plasma lighter to do the job, mounted on a 3D printed XY printer mechanism driven by two stepper motors. Behind the scenes is an Arduino Uno, which receives its instructions via USB from a command-line program on a Linux box. It’s admitted that this is hardly the pinnacle of printing technology, but it does at least make for a fascinating project. You can see it in action in the video below the break.

This isn’t [HomoFaciens]’ first printer, we’re instantly reminded of this ink drop printer from a few years ago.

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Generate Positivity With Machine Learning

August 6, 2020 by Bryan Cockfield 4 Comments

Gesture recognition and machine learning are getting a lot of air time these days, as people understand them more and begin to develop methods to implement them on many different platforms. Of course this allows easier access to people who can make use of the new tools beyond strictly academic or business environments. For example, rollerblading down the streets of Atlanta with a gesture-recognizing, streaming TV that [nate.damen] wears over his head.

He’s known as [atltvhead] and the TV he wears has a functional LED screen on the front. The whole setup reminds us a little of Deep Thought. The screen can display various animations which are controlled through Twitch chat as he streams his journeys around town. He wanted to add a little more interaction to the animations though and simplify his user interface, so he set up a gesture-sensing sleeve which can augment the animations based on how he’s moving his arm. He uses an Arduino in the arm sensor as well as a Raspberry Pi in the backpack to tie it all together, and he goes deep in the weeds explaining how to use Tensorflow to recognize the gestures. The video linked below shows a lot of his training runs for the machine learning system he used as well.

[nate.damen] didn’t stop at the cheerful TV head either. He also wears a backpack that displays uplifting messages to people as he passes them by on his rollerblades, not wanting to leave out those who don’t get to see him coming. We think this is a great uplifting project, and the amount of work that went into getting the gesture recognition machine learning algorithm right is impressive on its own. If you’re new to Tensorflow, though, we have featured some projects that can do reliable object recognition using little more than a Raspberry Pi and a camera.

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Can You Remembrandt Where This Is From?

August 5, 2020 by Sharon Lin 8 Comments

A group of researchers have built an algorithm for finding hidden connections in artwork.

The team, comprised of computer scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Microsoft, used paintings from the Metropolitan Museum of Art and Amsterdam’s Rijksmuseum to demonstrate these hidden connections, which link artwork that shares similar styles, such as Francisco de Zurbarán’s The Martyrdom of Saint Serapion (above left) and Jan Asselijn’s The Threatened Swan (above right). They were initially inspired by the “Rembrandt and Velazquez” exhibition in the Rijksmuseum, which demonstrated similarities between the artists’ work despite the former hailing from the Protestant Netherlands and the latter from Catholic Spain.

The algorithm, dubbed “MosAIc”, differs from probabilistic generative adversarial network (GAN)-based projects that generate artwork since it focuses on image retrieval instead. Rather than focusing solely on obvious factors such as color and style, the algorithm also tries to uncover meaning and theme. It does this by constructing a data structure called a conditional k-nearest neighbor (KNN) tree, which provides a tree-like structure where branches off a central image indicate similarity to the image. In order to query the data structure, these branches are followed until the closest match to an image in a dataset is found. In further iterations, it prunes unpromising branches in order to improve its time for new queries.

Some results from running the algorithm against museum collections were finding similarities between the Dutch Double Face Banyan and a Chinese ceramic figurine, traced to the flow of porcelain and iconography from the Chinese to the Dutch in the 16th to 20th centuries.

A surprising result of this study was discovering that the approach could also be applied to find problems with deep nerual networks, which are used for creating deepfakes. While GANs can often have blind spots in their models, struggling to recreate certain classes of photos, MosAIc was able to overcome these shortcomings and accurately reproduce realistic images.

While the team admits that their implementation isn’t the most optimized version of KNN, their main objective was to present a broad conditioning scheme that is simple but effective for applications. Their hope is to inspire related researchers to consider multi-disciplinary applications for algorithms.