Automation makes the world go around. Whether it’s replacing elevator attendants with buttons, replacing songwriters with computer algorithms, or giving rovers on Mars the same sense and avoid capability as a Tesla, Automation makes our lives easier and better. Today we’re excited to announce the twenty projects that best demonstrate the possibilities of Automation in the running for the 2016 Hackaday Prize. These projects tackled problems ranging from improving the common stepper motor to flying Lidar around a neighborhood on a gigantic ducted fan.
The winners of the Hackaday Prize automation challenge are, in no particular order:
If your project is on the list, congrats. You just won $1000 for your hardware project, and are now moving up to the Hackaday Prize finals where you’ll have a chance to win $150,000 and a residency at the Supplyframe DesignLab in Pasadena.
If your project didn’t make the cut, there’s still an oppurtunity for you to build the next great piece of hardware for The Hackaday Prize. The Assistive Technologies Challenge is currently under way challenging you to build a project that helps others move better, see better, or live better.
We’re looking for exoskeletons, a real-life Iron Man, a better wheelchair, a digital braille display, or the best educational software you can imagine.
Like the Design Your Concept, Anything Goes, Citizen Science, and Automation rounds of the the Hackaday Prize, the top twenty projects will each win $1000 and move on to the Hackaday Prize finals for a chance to win $150,000 and a residency at the Supplyframe DesignLab in Pasadena
If you don’t have a project up on Hackaday.io, you can start one right now and submit it to the Hackaday Prize. If you’re already working on the next great idea in assistive technologies, add it to the Assistive Technologies challenge using the dropdown menu on the sidebar of your project page.
The Hackaday Prize is the greatest hardware competition on Earth. We want to see the next great Open Hardware project benefit everyone. We’re working toward that by recognizing people who build, make, and design the coolest and most useful devices around.
This Raspberry Pi 2 with computer vision and two solenoid “fingers” was getting absurdly high scores on a mobile game as of late 2015, but only recently has [Kristian] finished fleshing the project out with detailed documentation.
Developed for a course in image analysis and computer vision, this project wasn’t really about cheating at a mobile game. It wasn’t even about a robotic interface to a smartphone screen; it was a platform for developing and demonstrating the image analysis theory he was learning, and the computer vision portion is no hack job. OpenCV was used as a foundation for accessing the camera, but none of the built-in filters are used. All of the image analysis is implemented from scratch.
The game is a simple. Humans and zombies move downward in two columns. Zombies (green) should get a screen tap but not humans. The Raspberry Pi camera takes pictures of the smartphone’s screen, to which a HSV filter is applied to filter out everything except green objects (zombies). That alone would be enough to get you some basic results, but not nearly good enough to be truly reliable and repeatable. Therefore, after picking out the green objects comes a whole chain of additional filtering. The details of that are covered on [Kristian]’s blog post, but the final report for the project (PDF) is where the real detail is.
If you’re interested mainly in seeing a machine pound out flawless victories, the video below shows everything running smoothly. The pounding sounds make it seem like the screen is taking a lot of abuse, but [Kristian] mentions that’s actually noise from the solenoids and not a product of them battling the touchscreen. This setup can be easily adapted to test out apps on different models of phones — something that has historically cost quite a bit of dough.
If you’re interested in the nitty-gritty details of the reasons and methods used for the computer vision portions, be sure to go through [Kristian]’s github repository where everything about the project lives (including the aforementioned final report.)
Continue reading “Abusing a Cellphone Screen with Solenoids Posts High Score”
[Fred Hoefler] was challenged to finally do something with that Raspberry Pi he wouldn’t keep quiet about. So he built a machine assist loom for the hand weaver. Many older weavers simply can’t enjoy their art anymore due to the physical strain caused by the repetitive task. Since he had a Pi looking for a purpose, he also had his project.
His biggest requirement was cost. There are lots of assistive looms on the market, but the starting price for those is around ten thousand dollars. So he set the rule that nothing on the device would cost more than the mentioned single board computer. This resulted in a BOM cost for the conversion that came in well under two hundred dollars. Not bad!
The motive parts are simple cheap 12V geared motors off Amazon. He powered them using his own motor driver circuits. They get their commands from the Pi, running Python. To control the loom one can either type in commands into the shell or use the keyboard. There are also some manual switches on the loom itself.
In the end [Fred] met his design goal, and has further convinced his friends that the words Raspberry Pi are somehow involved with trouble.
Continue reading “One Man, A Raspberry Pi, and a Formerly Hand Powered Loom”
Even in this age of wearable technology, the actual fabric in our t-shirts and clothes may still be the most high-tech product we wear. From the genetically engineered cotton seed, though an autonomous machine world, this product is manufactured in one of the world’s largest automation bubbles. Self-driving cotton pickers harvest and preprocess the cotton. More machines blend the raw material, comb it, twist and spin it into yarn, and finally, a weaving machine outputs sheets of spotless cotton jersey. The degree of automation could not be higher. Except for the laboratories, where seeds, cotton fibers, and yarns are tested to meet tight specifications, woven fabrics originate from a mostly human-free zone that is governed by technology and economics.
Continue reading “Filling The Automation Gap In Garment Manufacturing”
The once successful Kickstarter and National Science Foundation (NSF) research grant winner Electroloom is saying “Thanks and Farewell” to its backers, supporters, and sponsors. The startup ran out of funding while developing printer-like machine that uses electrospinning to automatedly produce ready-to-use garments.
Electroloom has been an ambitious project to explore if electrospinning could be made viable for garment manufacturing. The process that uses a high voltage to transform a resinous liquid into non-woven fabric was originally invented for textile fabrication, although its low throughput has always been a limiting factor. The method was mostly used in laboratory and medical applications. In 2014, Electroloom began developing a process that would bring the technology back to its fibrous roots, building an amazing prototype machine that could print an entire shirt in one piece. Electroloom’s Kickstarter campaign was funded in 2015, and earlier this year, an NSF research grant was awarded to the startup.
Continue reading “Electroloom Throws In The Towel”
Anyone who owns their own pool knows it’s not as simple as filling it up with water and jumping in whenever you want. There’s pool covers to deal with, regular cleaning with the pool vacuum and skimmers, and of course, all of the chemicals that have to be added to keep the water safe. While there are automatic vacuums, there aren’t a whole lot of options for automating the pool chemicals. [Clément] decided to tackle this problem, eliminating one more task from the maintenance of his home. (Google Translate from French.)
The problem isn’t as simple as adding a set amount of chemicals at a predetermined time. The amount of chemicals that a pool owner has to add are dependent on the properties of the water, and the amount of time that’s elapsed since the previous chemical treatment, and the number of people who have been using the water, and whether or not the pool cover is in use. To manage all of this, [Clément] used an ORP/Redox probe and a pH probe, and installed both in the filtration system. The two probes are wired to an Arduino with an ethernet shield. The Arduino controls electrically actuated chemical delivery systems that apply the required amount of chemicals to the pool, keeping it at a nice, healthy balance.
Continue reading “Home Pool Added to Home Automation”
Sometimes you start a project with every intention of using it in a specific way, or maybe your plan is to have a very well-defined set of features. Often, though, our projects go in a completely different direction than we might have intended. That seems to be the case with [Dave] and his Pips. These tiny devices were originally intended to be used by people with disabilities, but it turns out that they’re a perfect platform for this “Internet of Things” thing that we’ve been hearing so much about.
Built around the Bright Blue Bean microcontroller platform to take advantage of its low energy requirements, the Pips were originally intended to be placed around the house where they would light up to remind the user to perform some task. Once the button was pushed, the next Pip in the sequence would activate. While they are quite useful for people with cognitive or sensory impairments, they can also be used in a similar way to the Amazon Dash button or any other simple internet-enabled device. Especially when used in conjunction with a home automation setup, this device could be used in novel ways, such as automating your morning routine without having to add a weight sensor to your bed.
We are also pleased to see that all of the project files are available on GitHub for anyone looking to try this out. Its interesting when something that was originally intended to help out anyone with a disability finds a use somewhere else that it might not have originally been intended for. After all, though, the principle of using things in novel ways is kind of the entire basis of this community.