beach volley xxxSchlieren imaging is a technique for viewing the density of transparent fluids using a camera and some clever optical setups. Density of a fluid like air might change based on the composition of the air itself with various gasses, or it may vary as a result of a sound or pressure wave. It might sound like you would need a complicated and/or expensive setup in order to view such things, but with a few common things you can have your own Schlieren setup as [elad] demonstrates.
beach volley xxxHis setup relies on a cell phone, attached to a selfie stick, with a spherical mirror at the other end. The selfie stick makes adjusting the distance from the camera to the mirror easy, as a specific distance from the camera is required as a function of focal length. For cell phone cameras, it’s best to find this distance through experimentation using a small LED as the point source. Once it’s calibrated and working, a circular field of view is displayed on the phone which allows the viewer to see any change in density in front of the mirror.
The only downside of this build that [elad] notes is that the selfie stick isn’t stiff enough to prevent the image from shaking around a little bit, but all things considered this is an excellent project that shows a neat and useful trick in the photography/instrumentation world that could be useful for a lot of other projects. We’ve only seen Schlieren imaging once before and it used a slightly different method of viewing the changing densities.
Continue reading “Schlieren On A Stick”
Passive homes are a fairly recent trend in home building, but promise a future with minimal energy inputs in our day-to-day. One of the challenges in this year’s Hackaday Prize is to envision ways to add utility to earthen homes often used in refugee camps where there is a housing crisis. Adding passive utilities to these adobe buildings would be a fantastic upgrade, so [Cat] decided to tackle the challenge by creating a refrigerator that needs no electricity.
The the plan for the device works by using evaporative cooling to reduce the temperature in a small box which can be used for food storage. Of course, using evaporative cooling means that you need ready access to water and it likely won’t work in a humid or cool environment, but systems like these have been in use for centuries in plenty of places around the world. [Cat]’s plan is a little more involved than traditional methods of evaporative cooling though, and makes use of a specially painted chimney which provides the airflow when heated by sunlight.
The project is still in its infancy but it would be interesting to see a proof-of-concept built in a real-life passive house in an arid environment. Unfortunately, those of us in humid (or tropical) environments will have to look elsewhere for energy-efficient cooling solutions.
Like bubble wrap or the corkscrew, plenty of everyday objects have lost almost all ties to their original purpose. It could be that the original product had no market but was able to find one in an unexpected place, or simply that the original use case disappeared. We think that this MP3 player for children might arrive at a similar fate as a home automation controller thanks to a recent project by [Sebastian].
The MP3 player is known as a Jooki and works by using small figurines (and a few buttons) to control the device. Different figurines cause the MP3 player to change playlists, for example, but it turns out that the device is capable of communicating over MQTT. This means that [Sebastian] was able to use the MQTT messages from the Jooki to do all kinds of things beyond its intended use with openHAB, an open-source home automation system, such as dimming the lights and closing the blinds when he puts his son to bed.
This platform has considerable potential for hacking thanks to the lightweight communications system it uses under the hood. The Jooki is a little pricey, but if you happen to have one around, it’s an impressive tool that can go well beyond its original intended use.
Clocks are a popular project around here, and with good reason. There’s a ton of options, and there’s always a new take on ways to tell time. Clocks using lasers, words, or even ball bearings are all atypical ways of displaying time, but like a mathematician looking for a general proof of a long-understood idea this clock from [Julldozer] shows us a way to turn any object into a clock.
His build uses AA-powered clock movements that you would find on any typical wall clock, rather than reaching for his go-to solution of an Arduino and a stepper motor. The motors that drive the hands in these movements are extremely low-torque and low-power which is what allows them to last for so long with such a small power source. He uses two of them, one for hours and one for minutes, to which he attaches a custom-built lazy Suzan. The turntable needs to be extremely low-friction so as to avoid a situation where he has to change batteries every day, so after some 3D printing he has two rotating plates which can hold any object in order to tell him the current time.
While he didn’t design a clock from scratch or reinvent any other wheels, the part of this project that shines is the way he was able to utilize such a low-power motor to turn something so much heavier. This could have uses well outside the realm of timekeeping, and reminds us of this 3D-printed gear set from last year’s Hackaday prize.
Continue reading “Anything Becomes A Clock”
Any modern computer with an x86 processor, whether it’s Intel or AMD, is a lost cause for software freedom and privacy. We harp on this a lot, but it’s worth repeating that it’s nearly impossible to get free, open-source firmware to run on them thanks to the Intel Management Engine (IME) and the AMD Platform Security Processor (PSP). Without libre firmware there’s no way to trust anything else, even if your operating system is completely open-source.
The IME or PSP have access to memory, storage, and the network stack even if the computer is shut down, and even after the computer boots they run at such a low level that the operating system can’t be aware of what they’re really doing. Luckily, there’s a dark horse in the race in the personal computing world that gives us some hope that one day there will be an x86 competitor that allows their users to have a free firmware that they can trust. ARM processors, which have been steadily increasing their user share for years but are seeing a surge of interest since the recent announcement by Apple, are poised to take over the personal computing world and hopefully allow us some relevant, modern options for those concerned with freedom and privacy. But in the real world of ARM processors the road ahead will decidedly long, windy, and forked.
Even ignoring tedious nitpicks that the distinction between RISC vs CISC is more blurred now than it was “back in the day”, RISC machines like ARM have a natural leg up on the x86 CISC machines built by Intel and AMD. These RISC machines use fewer instructions and perform with much more thermal efficiency than their x86 competitors. They can often be passively cooled, avoiding need to be actively cooled, unlike many AMD/Intel machines that often have noisy or bulky fans. But for me, the most interesting advantage is the ability to run ARM machines without the proprietary firmware present with x86 chips.
Continue reading “Degrees Of Freedom: Booting ARM Processors”
As time marches on and a good percentage of us are still isolating from society at large, the progress of technology isn’t kept as stagnant. Earlier this year we featured a project about a much-needed small telepresence robot with an exceptionally low barrier for entry, and with the progress of time it has received several upgrades and some crowdfunding, all while preserving its original intent of a simple and easily-operated way of keeping in contact with others.
The new robot is still based on the cardboard design that holds a smartphone and drives it around using a microcontroller platform, but thanks to its small size and low power requirement this seems to suit it nicely. Improvements over the original design include a more robust one-size-fits-all phone mount and a more refined cardboard body. Also, since the small size is a little bit of a downside when navigating anywhere that isn’t a desk or counter, the new version makes it easier to make modifications such as adding a pedestal which can elevate the phone and improve the experience of the remote driver. A number of other optional modifications are possible as well, including a grabbing arm.
While telepresence robots unfortunately are needed now more than ever, we are happy to see people like [Ross] take on projects like this which will hopefully help improve our shared situation by allowing us to have a more involved level of contact with people we would otherwise prefer to see in person. If you’d like to build your own without waiting on the crowdfunding, be sure to check out the original project we featured back in April.
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.
Continue reading “Generate Positivity With Machine Learning”