Blatano Art Project Tracks Devices In Its Vicinity

Computers, surveillance systems, and online agents are perceiving us all the time these days. Most of the time, it takes place in the shadows, and we’re supposed to be unaware of this activity going on in the background. The Blatano art piece from [Leigh] instead shows a digital being that actively displays its perception of other digital beings in the world around it.

The project is based on an ESP32, using the BLE Scanner library to scan for Bluetooth devices in the immediate vicinity. Pwnagochi and Hash Monster tools are also used to inspect WiFi traffic, while the CovidSniffer library picks up packets from contact-tracking apps that may be operating in the area.

This data is used to create profiles of various devices that the Blatano can pick up. It then assigns names and little robotic images to each “identity,” and keeps tabs on them over time. It’s an imperfect science, given that some devices regularly change their Bluetooth identifiers and the like. Regardless, it’s interesting to watch a digital device monitor the scene like a wallflower watching punters at a house party.

If you’ve built your own art-surveillance devices to comment on the state of modernity, don’t hesitate to drop us a line!

The Insatiable Hunger Of Paper Shredder-Based Locomotion

We enjoy hacks that combine or alter devices, enhancing (or subverting) their purpose in the process, but [Japhy Riddle] reminds us all that sometimes it’s fun just to enjoy a spectacle. In this case, it’s an old paper shredder given wheels and a continuous line of paper to rip into.

The result is a device demonstrating a shredder-based form of locomotion, noisily pulling itself along by its own insatiable appetite.

It even looks like a robot, even though there’s nothing really going on inside. It just mindlessly and noisily consumes, converting paper into shreds, moving inexorably forward and limited only by the supply of paper or the length of its power cable, whichever is shorter. Powerful artistic statement, or simple spectacle? You be the judge.

Want to try your hand at a paper shredder-inspired piece? You can take artistic inspiration from the stock tracker that literally shreds your money when the market is down, or if you’re more interested in the worky bits, make your own shredder from LEGO.

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WhisperFrame Depicts The Art Of Conversation

At this point, you gotta figure that you’re at least being listened to almost everywhere you go, whether it be a home assistant or your very own phone. So why not roll with the punches and turn lemons into something like a still life of lemons that’s a bit wonky? What we mean is, why not take our conversations and use AI to turn them into art? That’s the idea behind this next-generation digital photo frame created by [TheMorehavoc].
Essentially, it uses a Raspberry Pi and a Respeaker four-mic array to listen to conversations in the room. It listens and records 15-20 seconds of audio, and sends that to the OpenWhisper API to generate a transcript.
This repeats until five minutes of audio is collected, then the entire transcript is sent through GPT-4 to extract an image prompt from a single topic in the conversation. Then, that prompt is shipped off to Stable Diffusion to get an image to be displayed on the screen. As you can imagine, the images generated run the gamut from really weird to really awesome.

The natural lulls in conversation presented a bit of a problem in that the transcription was still generating during silences, presumably because of ambient noise. The answer was in voice activity detection software that gives a probability that a voice is present.

Naturally, people were curious about the prompts for the images, so [TheMorehavoc] made a little gallery sign with a MagTag that uses Adafruit.io as the MQTT broker. Build video is up after the break, and you can check out the images here (warning, some are NSFW).

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Where Old Files Go To Die

We all lead digital lives, and we work in and on files of one sort or another. And sometimes we get attached to them. That long manifesto you poured your heart into, but nonetheless probably shouldn’t see the light of day? Love letters from former flames? Your first favorite video game that you can’t play any more, but it just sits there eating up drive space?

These are the files that are important enough that they deserve better than just a drag-and-drop into the trashcan. They deserve to be buried with dignity, and that’s just what [Ulf Schleth]’s /death/null offers us – a digital graveyard where our files no longer exist as they were, but still are allowed to linger in memory.

This is an old project, but one that tickled our funny  and poignant bones in equal parts. The pun on /dev/null probably works just a little better if you read both filepaths with a German accent in your head, but the idea translates anyway.

To use it, you simply upload your file and it gets sent to the great trashcan in the sky, but along the way a 4 x 5 matrix of colored blocks is created that represents the file, and it is registered forever in the graveyard, where you can check up on it any time you like. Of course you can’t read it – only 20 RGB triples remain – but you have the digital “gravestone” as commemoration.

Even if you don’t have any loved ones in [Ulf]’s graveyard, you can walk by and see which files others have chosen to remember. Swing on by and pay your respects to notepad.exe.

Hackaday Prize 2023: Tilting Mechanical Panels Make A Beautiful Display

Mechanical displays use a variety of different methods to represent data with physical objects, and [AIRPOCKET]’s Mechanical Display aims to be a platform anyone can use. Each “pixel” in this display is a panel of some kind, and different effects can be had by moving individual panels to different angles. Not only can images be represented, but the patterns of the movements themselves can be beautiful as well.

The panels are an important part of how the display presents, so the design makes them easy to change out.

These sorts of displays are fertile ground for artistic expression (one memorable implementation of this basic idea was the wooden mirror, which used varnished tiles of wood) but anyone looking to use the concept has usually been on their own when it comes to implementation.

The idea [AIRPOCKET] has is to make this kind of installation easier to implement. This method uses economical mini RC servos and 3D-printed pieces to create modular segments that can be assembled into whatever configuration one may need.

The material of the panels matters, too. Just below the page break, you can see a large unit with each “pixel” consisting of a mirrored square that reflects daylight. There’s also a video of an earlier prototype that uses some ridged two-color pieces to create a simple 4×4 three-level greyscale display.

There are a lot of possibilities if [AIRPOCKET] can make this sort of display more easily accessible, and that makes it a contender in the 2023 Hackaday Prize.

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These Illusions Celebrate Exploiting Human Senses

Illusions are perceptual experiences that do not match physical reality, and the 2023 Illusion of the Year contest produced a variety of nifty ones that are worth checking out. A video for each is embedded below the break, but we’ll briefly explain each as well.

Some of the visual illusions play with perspective. One such example happens to be the contest winner: Platform 9 3/4 has a LEGO car appear to drive directly through a wall. It happens so quickly it’s difficult to say what happened at all!

Another good one is the Tower of Cubes, which appears as two stacks of normal-looking hollow cubes, but some of the cubes are in fact truly bizarre shapes when seen from the side. This is a bit reminiscent of the ambiguous cylinder illusion by Japanese mathematician and artist [Kokichi Sugihara].

Cornelia is representative of the hollow face illusion, in which a concave face is perceived as a normal convex one. (Interestingly this illusion is used to help diagnose schizophrenia, as sufferers overwhelmingly fail to perceive the illusion.)

The Accelerando Illusion is similar to (but differs from) an auditory effect known as the Risset Rhythm by composer Jean-Claude Risset. It exploits ambiguities in sound to create a dense musical arrangement that sounds as though it is constantly increasing in tempo.

The Buddha’s Ear Illusion creates the illusion of feeling as though one’s earlobe is being stretched out to an absurd length, and brings to mind the broader concept of body transfer illusion.

While it didn’t appear into the contest, we just can’t resist bringing up the Thermal Grill Illusion, in which one perceives a painful burning sensation from touching a set of alternating hot and cold elements. Even though the temperatures of the individual elements are actually quite mild, the temperature differential plays strange tricks on perception.

A video of each of the contest’s entries is embedded below, and they all explain exactly what’s going on for each one, so take a few minutes and give them a watch. Do you have a favorite illusion of your own? Share it in the comments!

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AI Image Generation Gets A Drag Interface

AI image generators have gained new tools and techniques for not just creating pictures, but modifying them in consistent and sensible ways, and it seems that every week brings a fascinating new development in this area. One of the latest is Drag Your GAN, presented at SIGGRAPH 2023, and it’s pretty wild.

It provides a point-dragging interface that modifies images based on their implied structure. A picture is worth a thousand words, so this short animation shows what that means. There are plenty more where that came from at the project’s site, so take a few minutes to check it out.

GAN stands for generative adversarial network, a class of machine learning that features prominently in software like image generation; the “adversarial” part comes from the concept of networks pulling results between different goalposts. Drag Your GAN has a GitHub repository where code is expected to be released in June, but in the meantime, you can read the full paper or brush up on the basics of how AI image generators work, as well as see how image generation can be significantly enhanced with an understanding of a 2D image’s implied depth.