The Ghost Detector 9000 Is A Fun Spirit-Chasing Game

Halloween may have come and gone for another year, but we’re still finding neat spooky projects lurking out on the Interwebs. Case in point, the Ghost Detector 9000 from [Jules].

Effectively, what you’re looking at here is a fun interactive ghost-detecting game. It consists of a Raspberry Pi Zero hooked up with an IMU sensor that can detect the rig’s movement and orientation. As the user moves the Ghost Detector 9000 around, it outputs lights and sound when it’s aimed at a so-called “ghost-signal”. The user then pulls the trigger to “capture” the ghost. The whole rig is built inside a flashlight which presented a useful form factor for modification.

For those eager to dive into the nitty-gritty, [Jules] has shared the project files on GitHub. There’s some nifty stuff going on, like Rust code that interfaces with I2C devices hooked up to the Pi, and a sensor-fusion algorithm to make the most out of the data from the 9-axis IMU.

It’s a fun build that probably taught [Jules] a great deal along the way, even if it’s a game at heart. If you prefer to shoot zombies instead of capture ghosts, we’ve seen a build that lets you go hunting with a laser crossbow, too.

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Get Your Leafy Meats

Some of us jokingly refer to our hobbies as “mad science,” but [Justin] from The Thought Emporium could be one Igor away from living up to the jibe. The latest project to come out of the YouTube channel, video also after the break, outlines a map for creating an artificial organism in their new lab. The purpose is to test how far a citizen scientist can push the boundary of bioengineering. The stated goal is to create a swimming entity with a skeleton. The Thought Emporium also has a neuron project in the works, hinting at a potential crossover.

The artifishal [sic] organism has themes at the micro and macro scale. [Justin] says, “Cells are like little nano-robots. Mainly in the sense that they just follow their built-in instructions to the best of their ability.” At the multi-cellular level, the goal is to program something to actuate muscle tissue rhythmically to sustain locomotion. The method for creating living parts is decellularization and recellularization, a technique we heard about at Hackaday Belgrade.

The Thought Emporium is improving upon its protocol which removes cells from their “scaffolding” to repopulate it with the desired type, muscle in this case. Cellular scaffolds retain the shape of whatever they were, so whatever grows on them determines what they become. Once the technique of turning a leaf into muscle fibers is mastered, the next step will be creating bones with a different cell line that will mineralize the scaffold. Optimizing the processes and combining the results may show the world what is possible with the dedication of citizen bioengineers.

Regenerative medicine is looking at replacement human-parts with similar techniques. We are eager to see fish that digest plastic.

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A 3d printed ghost next to the base of an LED tea light that has 4 LEDs poking out and the IR receiver port and micro-USB connector showing.

A Cold Light To Warm Your Heart

Halloween is coming fast and what better way to add to your Halloween ornamentation than [Wagiminator]’s cute NeoCandle tea light simulator.

[Wagiminator] has modified a 3D printed ghost along with extending [Mark Sherman]’s light simulation code to create a cute light that’s perfect for the holiday season. The NeoCandle uses an ATtiny85 chip to power four WS2812 NeoPixel jelly bean LEDs. The device has an infrared (IR) receiver to be able to control it from a remote that speaks the NEC protocol. There is a light sensor that allows the unit to dim when it detects ambient light and the whole unit is powered off of a micro-USB connection.

The ATtiny85 have limited program flash and [Wagiminator] packs in a lot of functionality in such a small package, squeezing in a bit-banging NeoPixel driver in only 18 bytes of flash that can push out a transfer rate 762 kpbs to update the LEDs. The pseudo-random number uses a Galois linear feedback shift register and comes in at 86 bytes of flash, with the IR receiver implementation code being the largest using 234 bytes of flash. The ATtiny85 itself has 8 KB of flash memory so maybe it’s possible to push [Waginminator]’s code to even more restrictive Atmel devices in the ATtiny family.

With microcontrollers and LEDs becoming so cheap and ubiquitous, making realistic flames with them is becoming accessible, as we’ve seen with previous projects on electronic candles.

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Ghost Frame Shows People (and Cats) That Don’t Exist

[Dan]’s project from last year slipped past us until now, but his Ghost Frame is a great example of tying some modern hackable hardware together with online resources into a clean result, and we like the clear idea behind it. The Ghost Frame is so named because its purpose is literally to show pictures of people (and cats) that do not exist in the physical world.

This cat does not exist (thank goodness.) The computer doesn’t always get it right.

To make it all work, [Dan] used an Adafruit PyPortal as the guts of the device. It pulls images from ThisPersonDoesNotExist.com (which displays computer-assembled images of faces that do not represent actual living people) and displays them as though they were pictures in a digital photo frame. Formatting the image to show up nicely on the PyPortal’s 320 x 240 display took a little extra work; [Dan] solved that problem with a small PHP script to convert the image to a bitmap and scale it correctly in the process. The PyPortal makes fetching resources from the web simple, so this kind of fiddling didn’t present much of an obstacle to [Dan]’s artistic vision.

What about the cats? Well, it turns out that ThisCatDoesNotExist.com is also out there, and Ghost Frame can happily display computer-generated images of nonexistent cats as easily as it shows imaginary people. However, it does seem that the state of nonexistent cat generation is lagging somewhat behind that for people. The site usually gets it right, but results are occasionally (amusingly) bizarre as you can see here.

The PyPortal is perfect for this kind of project, and it can do more than just display static content. It has some GUI functionality baked in, as we saw showcased recently in this touchscreen Blackjack game.

Play Chess Against A Ghost

While chess had long been a domain where humans were superior to computers, the balance has shifted quite substantially in the computers’ favor. But the one thing that humans still have control over is the pieces themselves. That is, until now. A group has built a robot that both uses a challenging chess engine, and can move its own pieces.

The robot, from creators [Tim], [Alex S], and [Alex A], is able to manipulate pieces on a game board using a robotic arm under the table with an electromagnet. It is controlled with a Raspberry Pi, which also runs an instance of the Stockfish chess engine to play the game of chess itself. One of the obvious hurdles was how to keep the robot from crashing pieces into one another, which was solved by using small pieces on a large board, and always moving the pieces on the edges of the squares.

This is a pretty interesting project, especially considering it was built using a shoestring budget. And, if you aren’t familiar with Stockfish, it is one of the most powerful chess engines and also happens to be free and open-source. We’ve seen it used in some other chess boards before, although those couldn’t move their own pieces.

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Listen To The Netherworld With Artificial Intelligence

It’s that time of year again, and with Halloween arguably being the hacker’s perfect holiday, we’re starting to see a tick up in projects with a spooky theme. Most seem to do with making some otherwise tame Halloween decorations scarily awesome, but this is different — using artificial intelligence to search for ghosts.

It seems like [Matt Reed]’s “DeepWhisper” project is meant to be taken as light-heartedĀ fun for the spooky season, but there may be a touch of seriousness to his efforts to listen in on ghostly conversations. The principle behind this is electronic voice phenomena (EVP), whereby the metabolically and/or dimensionally challenged are purported to influence electronic systems, resulting in heavily processed audio clips that seem to have a whispered endearment from the departed or a threat from a malevolent spirit. DeepWhisper takes this a step further by using a Raspberry Pi to feed audio into the Google Cloud Speech API for analysis. If anything is whispered in one of the 110 or so languages Google knows, it’ll get displayed on a screen. [Matt] plans to set DeepWhisper up in the aptly-named Butchertown section of Nashville and live-stream the results next week.

It’ll be interesting to see what Google’s neural network makes out of the random noise it will probably only ever hear. And [Matt] is planning on releasing his code for all to see, so there may be some valuable cloud techniques to learn from DeepWhisper. But in the unlikely eventĀ that he does discover ghosts, it’s nice to know you can have the tools and the talent to bust ’em.

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BOO! Teach Arduino Basics With This Fun Ghost

Halloween is just around the corner, and the spooky themed tips are just starting to roll in. If you’re looking to one-up the basic store-bought decorations, and maybe teach your kid the basics of an Arduino while you’re at it — why not build a Peek-A-Boo Ghost!

Using an Arduino, two servo motors and an ultrasonic distance sensor it’s pretty easy to make this cute little ghost that covers its eyes when no one is around. They’re using cardboard for the ghost, but if you have access to a laser cutter at your hackerspace, you could make it a lot more robust using MDF or plywood.

When the ultrasonic distance sensor senses someone coming towards it, it’ll trigger the arms to move — though it’d be easy to add a small speaker element too and get some spooky music going as well!

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