One thing we love about [Discreet Electronics Guy]’s projects is how they really showcase that a cool hack is possible without access to 3D printers, overnight PCB services, and other luxuries. Everything in this board is hand made by electronics standards. The board is etched, the vias are wires, and even the case seems to be a modified plastic mint container.
The boombox itself uses an ATiny85 at its core which plays .wav files from an SD card. This is routed through an audio amp which powers two small speakers. We love the volume knob being a board mount potentiometer. The device even features its own small LiON battery pack. If you don’t want to enjoy the deep sound of the two small speakers there’s a headphone jack.
He’s got a great write-up on the circuit design on his website and you can see a video of him presenting the project here or after the break.
Car manufacturers have a problem when it comes to climate change. Among the variety of sources for extra atmospheric CO2 their products are perhaps those most in the public eye, and consequently their marketing departments are resorting to ever more desperate measures to sanctify them with a green aura. Among these are the French marque Peugeot, whose new electric version of their 208 model features in a slick video alongside a futuristic energy-harvesting billboard.
This is no ordinary billboard, nor is it a conventional wind turbine or solar array, instead it harvests ambient noise in one of the busiest parts of Paris, and turns it into electricity to charge the car with an array of piezoelectric energy capture units. This caught our eye here at Hackaday, because it seemed rather too good to be true. Is it a marketing stunt, or could you make a piezo billboard as a practical green energy device? Let’s take a closer look.
On Star Trek, all Kirk and friends had to do was snap the button on the always conveniently located intercom panel, start talking, and the intended recipient would immediately respond no matter where they were in the ship. How did it work? Who knows. In spite of, or perhaps even because of, the lightly-explained nature of the technology, the cherry-red wall intercoms still hold a certain charm for fans of the groundbreaking show.
A viewer sent [Fran Blanche] a scaled down replica of the intercom from ThinkGeek, and while it certainly looks fairly close to the original prop, it has a couple of annoying design elements. When triggered by the side-mounted motion sensors, the panel will play either the iconic swoosh of the automatic doors or the “Red Alert” sound effect. It’s a cute idea for a kid’s bedroom maybe, but not exactly ideal for somebody who regularly records YouTube videos.
Peak 23rd century technology
So the first order of business was to cut the motion sensors out of the circuit and replace them with a push button. [Fran] draws up a quick diagram to explain how these sensors work, and shows that they can easily be bypassed with a momentary switch since they normally bring the line high when triggered. She then converted the indicator light on the right side of the panel into a button to enable the alert sound effect, which is more accurate to how it worked in the show anyway.
The other issue, and perhaps the most egregious to Star Trek fans, is that the “Red Alert” indicator on the top of the panel didn’t actually flash like it did in the show. To design and build this panel and not put a few LEDs behind that piece of frosted plastic seems a bit like producing a Matchbox car and forgetting to make the wheels spin. With a couple of red LEDs and a bit of new wiring, the oversight was quickly rectified.
While it might not be perfect, at least ThinkGeek actually produced a functional product this time. It could have ended up like one of their April Fool’s “products” that never get put into production, forcing a desperate Trekkie to begrudgingly build his own version.
Pictures of a cow wearing a pair of comically oversized virtual reality goggles recently spread like wildfire over social media, and even the major news outlets eventually picked it up. Why not? Nobody wants to read about geopolitical turmoil over the holidays, and this story was precisely the sort of lighthearted “news” people would, if you can forgive the pun, gobble up.
But since you’re reading Hackaday, these images probably left you with more questions than answers. Who made the hardware, what software is it running, and of course, why does a cow need VR? Unfortunately, the answers to the more technical questions aren’t exactly forthcoming. Even tracking the story back to the official press release from the Ministry of Agriculture and Food of the Moscow Region doesn’t tell us much more than we can gather from the image itself.
But it does at least explain why somebody went through the trouble of making a custom bovine VR rig: calm cows produce more milk. These VR goggles, should they pass their testing and actually be adopted by the Russian dairy industry, will be the newest addition to a list of cow-calming hardware devices that farmers have been using for decades to get the most out of their herds.
We have just concluded a successful Hackaday Superconference where a highlight for many was digging into this year’s hardware badge. Shaped in the general form of a Game Boy handheld gaming console, the heart of the badge is a large FPGA opening up new and exciting potential for badge hacking.
Beyond our normal tools of compiling custom code or modifying hardware with a soldering iron, we now have the option to change core hardware behavior with Verilog. And people explored this new frontier to great effect, as seen at the badge hacking ceremony. (Video embedded below.)
FPGAs are not new, technically speaking, why are they exciting now? We can thank their recent growth in capability, their rapidly falling cost, and the relatively new availability of open source toolchains. These developments elevated FPGA into one of the most exciting trends in hardware today, so this year’s badge master [Sprite_TM] built an open FPGA playground for several hundred of his closest Supercon friends. Let’s take a look at what people were able to accomplish in just a few days using this unique and powerful hardware.
As any content creator knows, good audio is the key to maintaining an audience. Having a high quality microphone is a start, but it’s also necessary to reduce echoes and other unwanted noise. An isolation shield is key here, and [phico] has the low down on making your own.
The build starts with an IKEA lampshade, so it’s a great excuse to head down to the flatpack store and grab yourself some Köttbullar for lunch while you’re at it (that’s meatballs for those less versed in IKEA’s cafeteria fare). This is really more of a powder-coated steel frame than a shade, perfect as the bones of an enclosure. [Phico] hacks it open with a Dremel to make room for the microphone. Cardboard soaked in wallpaper paste is then used to create a papier-mache-like shell, which is then stuffed with acoustic foam. A small opening is left to allow the narrator’s voice to reach the microphone, while blocking sound from other directions. Finally, a stocking is wrapped around the whole assembly to act as an integral anti-pop filter.
When exploring the realm of Machine Learning, it’s always nice to have some real and interesting data to work with. That’s where the bats come in – they’re fascinating animals that emit very particular ultrasonic calls that can be recorded and analysed with computer software to get a fairly good idea of what species they are. When analysed with an FFT spectogram, we can see the individual call shapes very clearly.
Nyctalus noctula (noctule bat)
Myotis nattereri (natterera’s bat)
Plecotus auritus (brown long eared)
Pipistrellus pipistrellus (common pipistrelle)
Creating an open source classifier for bats is also potentially useful for the world outside of Machine Learning as it could not only enable us to more easily monitor bats themselves, but also the knock on effects of modern farming methods on the natural environment. Bats feed on moths and other night flying insects which themselves have been decimated in numbers. Even in the depths of the countryside here in the UK these insects are a fraction of the population that they used to be 30 years ago, but nobody seems to have monitored this decline.
So getting back to our spectograms, it would be perfectly reasonable to throw these images at a convolutional neural network (CNN) and use an image feature-recognition strategy. But I wanted to explore the depths of the mysterious Random Forest. Continue reading “Training Bats In The Random Forest With The Confusion Matrix”→
