Robohub.org
 

James Bruton focus series #2: Barcode scanner guitar synths

by
12 December 2020



share this:
James Bruton playing his barcode synths

James Bruton playing his barcode synths

As every other Saturday, I’m bringing you another cool open-source project from James Bruton. Today, how about becoming an experimental musician with your own barcode scanner synthesizer?

I introduced James Bruton in the first post of this focus series on him, where I showed you the Boston Dynamics-inspired open robot dogs projects that consolidated him as one of the top maker on YouTube. As a sort of musician, the barcode synth project I’ve picked for this second post grabbed my attention among the countless videos he’s got on his channel.

To be more specific, the barcode synth consists of two projects. A bit more than a year ago, James showed how to build a four-neck guitar synth with the frets (the place where you put your fingers to play a note on the guitar) being barcodes instead of strings. To play this guitar, you only need a barcode reader connected to an Arduino that converts the data read from the barcodes into a number that represents a MIDI note – which is a digital representation of a musical note based on the MIDI standard. You can then plug the Arduino into a synth or your computer (if you love virtual instruments as much as I do!) to transform the MIDI output into actual sound. Extra features of this guitar included pitch bending and octave shifting buttons. You can access the open-source code of this type of guitar here, and enjoy James’ explanation (and performance) in the following video:

A couple of months ago, James made an improved version of the previous guitar synth. Instead of using the number given by the barcode, for this improved synth he hacked the barcode reader to interpret the barcodes as images so that the output is the raw square wave that it sees. With he help of a Teensy microcontroller to do the digital signal processing and a Raspberry Pi to display barcode images on a screen fitted to a 3D-printed guitar, he could produce a richer range of sounds compared to the previous version. If you want to build you own barcode synth, check out the open-source files and his video (you’ll be impressed to find out how a zebra sounds like!):

Make tech, make music, and stay tuned!



tags: ,


Daniel Carrillo-Zapata was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.
Daniel Carrillo-Zapata was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.





Related posts :



Robot Talk Episode 101 – Christos Bergeles

In the latest episode of the Robot Talk podcast, Claire chatted to Christos Bergeles from King's College London about micro-surgical robots to deliver therapies deep inside the body.
06 December 2024, by

Robot Talk Episode 100 – Mini Rai

In the latest episode of the Robot Talk podcast, Claire chatted to Mini Rai from Orbit Rise about orbital and planetary robots.
29 November 2024, by

Robot Talk Episode 99 – Joe Wolfel

In the latest episode of the Robot Talk podcast, Claire chatted to Joe Wolfel from Terradepth about autonomous submersible robots for collecting ocean data.
22 November 2024, by

Robot Talk Episode 98 – Gabriella Pizzuto

In the latest episode of the Robot Talk podcast, Claire chatted to Gabriella Pizzuto from the University of Liverpool about intelligent robotic manipulators for laboratory automation.
15 November 2024, by

Online hands-on science communication training – sign up here!

Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.
13 November 2024, by

Robot Talk Episode 97 – Pratap Tokekar

In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.
08 November 2024, by





Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association