Hackaday Prize Entry: Electronics Anywhere, Any Time

July 12, 2016 by Brian Benchoff 11 Comments

There has always been a need for electronic graph paper – a digital device that records ones and zeros, writes bits, and keeps track of analog voltages. Many moons ago, this sort of device was graph paper, wrapped around a drum, slowly spinning around once per day. With the advent of cheap, powerful microcontrollers and SD cards these devices have become even more capable.

For their entry to the Hackaday Prize, [Kuldeep] and [Sandeep] have built Box0. It’s a lab in a bag, an open source data acquisition unit, and a USB device that toggles pins, all in one simple device.

The hardware for this devices consists of an STM32F0 microcontroller, a USB port, and enough pins to offer up a few SPIs, an I2C bus, eight channels of digital output, two PWM channels, a UART, analog in, and analog out.

Of course, hardware is the easy part. If you want to do something useful with a device like this, you need some software. Here is where the project really shines. They have libraries for Python, Julia, C, Java, and JavaScript. That’s enough to make anyone happy, and makes this Box0 exceptionally capable. For a demonstration, they’ve built a curve tracer for transistors and red, green, and blue LEDs with the Box0. It works, and it looks like this actually is an exceptionally useful device.

Hackaday Prize Entry: MiniSam-Zero

July 11, 2016 by Brian Benchoff 16 Comments

Thanks to the Arduino, Atmel’s SAM line of ARM microcontrollers are seeing a lot of use as 32-bit learning tools. For his Hackaday Prize project, [Jeremey] is using one of these chips without all the Arduino drama. He’s built a tiny Atmel SAM dev board that’s cheap, simple, and interestingly for a 32-bit ARM board, easy to program.

For this board, [Jeremy] is using Atmel’s SAM D09, the smallest member of the family that also includes the chip on the new Arduino Zero and the Arduino M0 (built by the other Arduino). The MiniSam-Zero uses a slightly smaller chip with 8 kB of on-chip Flash. Eagle-eyed complainers will notice the SAM D09 does not have internal EEPROM, so an EEPROM is added on-board. Also on board is a temperature sensor and a Silicon Labs CP2102 for serial communications.

That last chip – the Serial USART – allows for a rather interesting build if the firmware is done right. Instead of futzing about with ARM SWD while programming the device, a serial bootloader would allow anyone to plug a USB cable into this board and upload code straight from an IDE. This is perhaps the coolest feature of the MiniSam-Zero, and something [Jeremy] has worked tirelessly to get right. He can upload directly from Atmel Studio, and after a bit more work, [Jeremy] will be able to program this board directly from the Arduino IDE. That’s great work, and although this board isn’t as capable as other ARM microcontroller offerings, it’s still a fantastically useful device.

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Hackaday Prize Entry: Reverse Engineering Blood Glucose Monitors

July 10, 2016 by Gerrit Coetzee 26 Comments

Blood glucose monitors are pretty ubiquitous today. For most people with diabetes, these cheap and reliable sensors are their primary means of managing their blood sugar. But what is the enterprising diabetic hacker to do if he wakes up and realizes, with horror, that a primary aspect of his daily routine doesn’t involve an Arduino?

Rather than succumb to an Arduino-less reality, he can hopefully use the shield [M. Bindhammer] is working on to take his glucose measurement into his own hands.

[Bindhammer]’s initial work is based around the popular one-touch brand of strips. These are the cheapest, use very little blood, and the included needle is not as bad as it could be. His first challenge was just getting the connector for the strips. Naturally he could cannibalize a monitor from the pharmacy, but for someone making a shield that needs a supply line, this isn’t the best option. Surprisingly, the connectors used aren’t patented, so the companies are instead just more rigorous about who they sell them to. After a bit of work, he managed to find a source.

The next challenge is reverse engineering the actual algorithm used by the commercial sensor. It’s challenging. A simple mixture of water and glucose, for example, made the sensor throw an error. He’ll get it eventually, though, making this a great entry for the Hackaday Prize.

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Hackaday Prize Entry: Modular, Low Cost Braille Display

July 9, 2016 by Bryan Cockfield 21 Comments

A lot of work with binary arithmetic was pioneered in the mid-1800s. Boolean algebra was developed by George Boole, but a less obvious binary invention was created at this time: the Braille writing system. Using a system of raised dots (essentially 1s and 0s), visually impaired people have been able to read using their sense of touch. In the modern age of fast information, however, it’s a little more difficult. A number of people have been working on refreshable Braille displays, including [Madaeon] who has created a modular refreshable Braille display.

The idea is to recreate the Braille cell with a set of tiny solenoids. The cell is a set of dots, each of which can be raised or lowered in a particular arrangement to represent a letter or other symbol. With a set of solenoids, this can be accomplished rather rapidly. [Madaeon] has already prototyped these miniscule controllable dots using the latest 3D printing and laser cutting methods and is about ready to put together his first full Braille character.

While this isn’t quite ready for a full-scale display yet, the fundamentals look like a solid foundation for building one. This is all hot on the heels of perhaps the most civilized patent disagreement in history regarding a Braille display that’s similar. Hopefully all the discussion and hacking of Braille displays will bring the cost down enough that anyone who needs one will easily be able to obtain and use one.

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Hackaday Prize Entry: Selfie Bot Let’s You Vlog Hands Free

July 8, 2016 by Gerrit Coetzee 23 Comments

[Sergey Mironov] sent in his SelfieBot project. His company, Endurance Robots, sells a commercial version of the bot, which leads us to believe that in a strange and maybe brilliant move he decided to just sell the prototype stage of the product development as a kit. Since he also gave away the firmware, STLs, BOM, and made a guide so anyone can build it, we’re not complaining.

The bot is simple enough. Nicely housed hobby servos in a 3D printed case take care of the pan and tilt of the camera. The base of the bot encloses the electronics, which are an Arduino nano, a Bluetooth module, and the support electronics for power and motor driving.

To perform the face tracking, the build assumes you have a second phone. This is silly, but isn’t so unreasonable. Most people who’ve had a smart phone for a few years have a spare one living in a drawer as back-up. One phone runs the face tracking software and points the bot, via Bluetooth, towards the user. The other phone records the video.

The bot is pretty jumpy in the example video, but this can be taken care of with better motors. For a proof-of-concept, it works. A video of it in action after the break.

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Hackaday Prize Entry: Shakelet

July 7, 2016 by Moritz Walter 62 Comments

A person who is deaf can’t hear sound, but that doesn’t mean they can’t feel vibrations. For his Hackaday Prize entry, [Alex Hunt] is developing the Shakelet, a vibrating wristband for that notifies hearing impaired people about telephones, doorbells, and other sound alerts.

To tackle the difficulty of discriminating between the different sounds from different sources, [Alex’s] wants to attach little sound sensors directly to the sound emitting devices. The sensors wirelessly communicate with the wristband. If the wristband receives a trigger signal from one of the sensors, it alerts the wearer by vibrating. It also shows which device triggered the alert by flashing an RGB LED in a certain color. A first breadboard prototype of his idea confirmed the feasibility of the concept.

After solving a few minor problems with the sensitivity of the sensors, [Alex] now has a working prototype. The wristband features a pager motor and is controlled by an ATMEGA168. Two NRF24L01+ 2.4 GHz wireless transceiver modules take care of the communication. The sound sensors run on the smaller ATTiny85 and use a piezo disc as microphone. Check out the video below, where Alex demonstrates his build:

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Hackaday Prize Entry: Open Source FFT Spectrum Analyzer

July 6, 2016 by Moritz Walter 14 Comments

Every machine has its own way of communicating with its operator. Some send status emails, some illuminate, but most of them vibrate and make noise. If it hums happily, that’s usually a good sign, but if it complains loudly, maintenance is overdue. [Ariel Quezada] wants to make sense of machine vibrations and draw conclusions about their overall mechanical condition from them. With his project, a 3-axis Open Source FFT Spectrum Analyzer he is not only entering the Hackaday Prize 2016 but also the highly contested field of acoustic defect recognition.

For the hardware side of the spectrum analyzer, [Ariel] equipped an Arduino Nano with an ADXL335 accelerometer, which is able to pick up vibrations within a frequency range of 0 to 1600 Hz on the X and Y axis. A film container, equipped with a strong magnet for easy installation, serves as an enclosure for the sensor. The firmware [Ariel] wrote is an efficient piece of code that samples the analog signals from the accelerometer in a free running loop at about 5000 Hz. It streams the digitized waveforms to a host computer over the serial port, where they are captured and stored by a Python script for further processing.

From there, another Python script filters the captured waveform, applies a window function, calculates the Fourier transform and plots the spectrum into a graph. With the analyzer up and running, [Ariel] went on testing the device on a large bearing of an arbitrary rotating machine he had access to. A series of tests that involved adding eccentric weights to the rotating shaft shows that the analyzer already makes it possible to discriminate between different grades of imbalance.

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