For her Hackaday Prize entry, [ThunderSqueak] is building an artificial intelligence. P.A.L., the Self-Programming AI Robot, is building on the intelligence displayed by Amazon’s Alexa, Apple’s Siri, and whatever the Google thing is called, to build a robot that’s able to learn from its environment, track objects, judge distances, and perform simple tasks.
As with any robotic intelligence, the first question that comes to mind is, ‘what does it look like’. The answer here is, ‘a little bit like Johnny Five.’ [ThunderSqueak] has designed a robotic chassis using treads for locomotion and a head that can emote by moving its eyebrows. Those treads are not a trivial engineering task – the tracks are 3D printed and bolted onto a chain – and building them has been a very, very annoying part of the build.
But no advanced intelligent robot is based on how it moves. The real trick here is the software, and for this [ThunderSqueak] has a few tricks up her sleeve. She’s doing voice recognition through a microcontroller, correlating phonemes to the spectral signature without using much power.
The purpose of P.A.L. isn’t to have a conversation with a robotic friend in a weird 80s escapade. The purpose of P.A.L. is to build a machine that can learn from its mistakes and learn just a little bit about its environment. This is where the really cool stuff happens in artificial intelligence and makes for an excellent entry for the Hackaday Prize.
Augmented reality is all the rage right now, and it’s all because of Pokemon. Of course, this means the entire idea of augmented reality is now wrapped up in taking pictures of Pidgeys in their unnatural setting. There are more useful applications of augmented reality, as [vijayvictory]’s Hackaday Prize entry shows us. He’s built an augmented reality helmet for firefighters that will detect temperature, gasses, smoke and the user’s own vital signs, displaying the readings on a heads up display.
The core of the build is a Particle Photon, a WiFi-enabled microcontroller that also gives this helmet the ability to relay data back to a base station, ostensibly one that’s not on fire. To this, [vijayvictory] has added an accelerometer, gas sensor, and a beautiful OLED display mounted just behind a prism. This display overlays the relevant data to the firefighter without obstructing their field of vision.
Right now, this system is fairly basic, but [vijayvictory] has a few more tricks up his sleeve. By expanding this system to include a FLIR thermal imaging sensor, this augmented reality helmet will have the ability to see through smoke. By integrating this system into an existing network and adding a few cool WiFi tricks, this system will be able to located a downed firefighter using signal trilateralization. It’s a very cool device, and one that should be very useful, making it a great entry for The Hackaday Prize.
Right now HOPE is dying down, and most of the Hackaday crew will be filtering out of NYC. It was a great weekend. The first weekend in August will be even better. We’re going to DEF CON, we’ll have people at VCF West, and a contingent at EMF Camp. If you’re going to EMF Camp, drop a line here. There will be Hackaday peeps wandering around a field in England, so if you see someone flying the Hackaday or Tindie flag, stop and say hi.
Raspberry Pi’s stuffed into things? Not all of them are terrible. The Apple Extended keyboard is possibly the best keyboard Apple ever produced. It’s mechanical (Alps), the layout is almost completely modern, and they’re actually cheap for something that compares well to a Model M. There’s also enough space inside the plastic to fit a Pi and still have enough room left over for holes for the Ethernet and USB ports. [ezrahilyer] plopped a Pi in this old keyboard, and the results look great. Thanks [Burkistana] for sending this one in.
We’ve been chronicling [Arsenijs] Raspberry Pi project for months now, but this is big news. The Raspberry Pi project has cracked 10k views on Hackaday.io, and is well on track to be the most popular project of all time, on any platform. Congrats, [Arsenijs]; it couldn’t happen to a better project.
A few months ago, [Sébastien] released SLAcer.js, a slicer for resin printers that works in the browser. You can’t test a slicer without a printer, so for the last few months, [Sébastien] has been building his own resin printer. He’s looking for beta testers. If you have experience with resin printers, this could be a very cool (and very cheap) build.
Anyone going to DEF CON? For reasons unknown to me, I’m arriving in Vegas at nine in the morning on Wednesday. This means I have a day to kill in Vegas. I was thinking about a Hackaday meetup at the grave of James T. Kirk on Veridian III. It’s about an hour north of Vegas in the Valley of Fire State Park. Yes, driving out to the middle of the desert in August is a great idea. If anyone likes this idea, leave a note in the comments and I’ll organize something.
If you have an old manual lathe, mill, or even a drill press, a digital readout (DRO) is a very handy tool to have. A DRO gives you a readout of how far you’ve cut, milled, or drilled into a piece of work without having to stoop to caveman levels and look down at a dial. Here’s a stupidly cheap DRO for all your machine tools. It should only cost five bucks or so, and if you need it, you already have the tools to manufacture it.
This build is inspired by an earlier build using the same single component – a digital tread depth gauge. This digital tread depth gauge is commonly found in countries that don’t use the US penny as currency to measure the depth of tread on a tire. The throw isn’t that large – only about 27mm – but with a few modifications it can fit on any machine tool.
The modifications include a small bit of metal glued to the back and four tiny neodymium magnets. For the ‘tool head’ of this DRO, only a tiny plastic collar and another deo magnet are needed.
This digital tire depth gauge looks like – and probably is – the same mechanism found in those super cheap calipers from the far east. In theory, it should be possible to extend this modification to those digital calipers, making for a simple DRO with a much larger throw.
Thanks [Ben] for sending this one in.
[Scott Campbell] built a cassette-based synthesizer that sounds exactly like everything you’ve heard before. The sound generation comes straight off cassettes, but the brainbox of this synth varies the volume and pitch. It’s called the Onde Magnetique, and it is what you would get if you combined a Mellotron and Ondes Martenot.
The key component for the Onde Magnetique is a Sony cassette recorder that conveniently and inexplicably comes with a ‘tape speed input’ mini jack. By varying the voltage sent to this input jack, the speed of the tape, and thus the pitch of the sound being played, is changed. Build a box with a touch-sensitive button for volume, and a few tact switches for different speeds, and you have an electromechanical bastard child of a Mellotron and an Ondes Martenot.
By itself, the Onde Magnetique produces no sound – it only controls the pitch and volume of whatever is on the cassette. [Scott] produced a few single-note cassettes for his instrument, with ‘voice patches’ including a flute, choir, and a synth. With the CV and Gate input, these sounds can be sequenced with outboard gear, producing the wonderful sounds heard in the video after the break.
Continue reading “Onde Magnetique Will Wow And Flutter Your Ears”
Electromyography is a technique used to study and record the electrical signals generated when a muscle contracts. It’s used for medical diagnosis, rehab, kinesiological studies, and is the preferred method of control for robotic prosthetics and exoskeletons. There are a few companies out there with myoelectric products, and the use case for those products is flipping the slides on a PowerPoint presentation. Lucky for us, this project in the Hackaday Prize isn’t encumbered by such trivialities. It’s an open, expandable platform to turn muscle contractions into anything.
As you would expect, reading the electrical signals from muscles requires a little more technical expertise than plugging a cable into an Arduino. This project has opamps in spades, and is more than sensitive enough to serve as a useful sensor platform. Already this project is being used to monitor bruxism – inadvertent clenching or grinding of the jaw – and the results are great.
While it’s doubtful this device will ever be used in a medical context, it is a great little board to add muscle control to a robot arm, or build a very cool suit of power armor. All in all, a very cool entry for The Hackaday Prize.
Go into a fancy drug store, and you might just find one of the most amazing sales demonstrations you’ll ever see. Step right up, take your shoes off, and place your feet onto the magical Dr. Scholl’s machine, and you’ll get a customized readout of how your feet touch the ground. As an added bonus, you’ll also get a recommendation for a shoe insert that will make your feet feel better and your shoes fit better.
There is, of course, one problem with this setup. You don’t stand on a footprint measuring device all day. A better solution to the problem of measuring how your feet hit the ground is doing it while you walk. That’s where [chiprobot]’s Alli-Gait-Or Analysis comes in. It’s that Dr. Scholl’s machine tucked into the sole of a shoe. It can be worn while you walk, and it can tell you exactly how your feet work.
[chiprobot]’s robotic shoes consist of a 3D printed insert that holds eighteen piezo transducers per shoe. These are connected to ADCs, which feed into a microcontroller which sends the data out to a computer. That’s simple enough, but making sense of the data is the real problem.
To turn this data into something that could be used for selecting orthotics or simply finding a better shoe, [chiprobot] is plugging this data into Blender and creating some very cool visualizations. It’s good enough to get some serious data off a shoe, and since this Alli-Gait-Or is wearable, the data is much more valid than a machine sitting in a drug store.