Using the BBC micro:bit for conservation research
Supervisor
Suitable for
Abstract
Co supervised by Johnny Austin Jonny@microbit.orgAt www.microbit.org
"The BBC micro:bit V2 is capable of running TinyML workloads. Because the device is widely available, consumes little power, and is inexpensive, it makes an excellent and accessible platform for datascience and TinyML work. This project aims to see how the BBC micro:bit could be used for conservation studies - could it be used to detect the presence of different species using the built-in microphone, or deployed for recognising logging activies, either with sound or motion. How else could the device be used for conservation fieldwork? As well as creating valuable tools for those i the conservation space, by demonstrating creative and effective uses for machine learning with the micro:bit you will be feeding into the future feature roadmap of the Micro:bit Educational Foundation as we work out how to teach students around the world about AI and ML with physical computing."
Prerequisites Digital Systems (or equivalent)