The Internet overflows with prosthetics projects, and to a large extent this is somewhat understandable. Prosthetic devices are ultimately a custom made for each user, and 3D printers are trying to find a purpose. Put two and two together, and you’re going to get a few plastic limbs.
The electronics required for advanced prosthetics are a bit harder than a 3D scanner and a printer. If you’re designing a robotic leg, you will need to pump several hundred watts through an actuator to move a human forward. For the last few years, [Jean-François Duval] has been working on this problem at the MIT Media Lab Biomechatronics group and has come up with his entry for the Hackaday Prize. It’s a motor and motor control system for wearable robotics that addresses the problems no other project has thought of yet.
The goal of the FlexSEA isn’t to build prosthetics and wearable robotics – the goal is to build the electronics that drive these wearables. This means doing everything from driving motors, regulating power consumption, running control loops, and communicating with sensors. To accomplish this, [Jean-François] is using the BeagleBone Black, a Cypress PSoC, and an STM32F4, all very capable bits of hardware.
So far, [Jean-François] has documented the hardware and the software for the current controller, and has a few demo videos of his hardware in action. You can check that out below.
Continue reading “Hackaday Prize Entry: Wearable Robotics Toolkit”
The Raspberry Pi and Teensy 3 both have I2S interfaces, and that means these boards can be used to play very high quality audio. A codec and an I2S interface is one thing, but turning that digital stream into a quality analog output is another thing entirely. You need only look at audiophile forums for enough mis- and disinformation for that evidence.
For his Hackaday Prize entry [William Hollender] is building an audio board for the Teensy 3.x. It features very high-end opamps, the right filters, and the correct topology to turn a digital audio stream into an analog signal that would please the most temperamental ear.
The Teensy Super Audio Board uses the Cirrus CS4272 audio codec chip, a high quality chip that can handle sample rates of up to 192kHz at 24 bit depth. This chip doesn’t include the analog input and output buffers, and this means [William] has quite a build in front of him. This means using high quality opamps, low noise power supplies, and knowing how to build a circuit and measure its noise.
So far, the tests revealed incredible dynamic range, flatness, and frequency response of this tiny little board. It also works with the Raspberry Pi. Now it’s just a matter of getting a few more of these boards put together for the Best Product part of the Hackaday Prize.
A common theme around Internet of Things things is connecting a relay to the web. It’s useful for everything from turning on a lamp from across the country to making sure your refrigerator is still running without the twice-hourly calls from the International Refrigeration Commission. For his Hackaday Prize project, [Matt] is turning lights on and off with an ESP8266 WiFi module, but not just any lights: he’s focusing on low-voltage lighting with the ESPLux.
Most downlights and landscape lights run off a 12 or 24 V transformer, and because [Matt] wanted to add dimming to his lighting box, he’s rectifying the low voltage AC to DC; PWMing an output to light an LED is a much better idea than chopping AC with a triac.
With a rectifier, MOSFET, and an ESP8266, the ESPLux is a simple build, but the project doesn’t end with electronics. for automation and control of these lights, [Matt] is turning to OpenHAB, automation software that works with everything you would ever use to make your home smart.
The apocalypse is coming, and the last time I checked, not many people have a semiconductor fab in their garage. We’ll need computers after the end of the world, and [matseng]’s project for the Hackaday Prize is just that – a framework to build computers out of discrete components.
The apocalyptic spin on this project is slightly exaggerated, but there is a lot someone can learn by building digital devices out of transistors, resistors, and diodes. The building blocks of [matseng]’s computer are as simple as they come: he’s using three resistors, four diodes, and one NPN transistor to build a single NAND gate. These NAND gates can then be assembled into any form of digital logic. You’re never going to get a better visual example of functional completeness.
A project like this must be approached from both the top down and bottom up. To go from a high level to ones and zeros, [matseng] built an assembler and an emulator. Some ideas of what the instruction set will be are laid out in this project log, and for now [matseng] is going for a Harvard architecture with eight registers. It’s a lot of work for a computer that will be limited by how much memory [matseng] can be wired up, but as far as ambition goes, there aren’t many projects in the Hackaday Prize that can match this tiny, huge computer.
For the last few months, we’ve been asking the Hackaday.io community for their thoughts on what the best projects are in the 2015 Hackaday Prize. We’ve also been giving away some fabulous prizes to people who have voted, and we just wrapped up the last round of voting? Did anyone win? Check out the video below.
Continue reading “Astronaut or Astronot: The Final Round is Over”
Simple blood tests can lead a doctor toward a diagnosis of blood cancers, like leukemia, lymphoma and myeloma, but to really see what’s going on, he or she needs to go to the source of the problem: the bone marrow. Examining maturing blood cells from the marrow with a microscope is an important step in staging the disease and developing a plan for treatment, but it’s a tedious and error-prone process that requires a doctor to classify and tally a dozen or so different cells based on their size, shape and features. Automated systems like flow cytometry and image analysis software can help, but in an austere environment, a doctor might not have access to these. Luckily, there’s now an on-line app to assist with bone marrow cytometry.
Thanks to [Eduardo Zola], a doctor can concentrate on classifying cells without looking up from the microscope, and without dictating to an assistant. Keys are assigned to the different cell morphologies, and a running total of each cell type is kept. With practice, the doctor should be able to master the keying for the various cells; we suspect the generation of physicians that grew up with the WASD keying common in PC-based gaming might have a significant advantage over the older docs when it comes to learning such an app.
[Eduardo]’s app seems like a simple way to improve on an important medical procedure, and an enabling technology where access to modern instrumentation is limited. To that end, one area for improvement might be a standalone app that can run on a laptop without internet access, or perhaps even a version that runs on a smart phone. But even as it is, it’s a great entry for the 2015 Hackaday Prize.
[Conrad] was tasked with building a synthetic aperture multispectral imaging device by his professor. It’s an interesting challenge that touches on programming, graphics, and just a bit of electrical engineering.
Tucked inside a garish yellow box that looks like a dumb robot are five Raspberry Pis, a TP-Link Ethernet switch, three Raspberry Pi NOIR cameras, and a Flir Lepton thermal camera. With three cameras, different techniques can be used to change the focal length of whatever is being recorded – that’s the synthetic aperture part of the build. By adding different filters – IR pass, UV, visual, and thermal, this camera can record images in a huge range of wavelengths.
[Conrad] has come up with a completely modular toolbox that allows for a lot of imaging experiments. By removing the filters, he can track objects in 3D. With all the filters in place, he can narrow down what spectra he can record. It’s a mobile lab that’s completely modular, and we can’t wait to see what this little box can really do.