Category: Audio

Spring 2025 Project Updates Public Datasets Shane Andres, Minyoung Kim This semester we’ve continued to work towards training machine learning models to detect the status of beehives. We are actively deploying our recording hardware inside of beehives to collect data, but as this is in the early stages we only have a small quantity of… Continue reading Spring 2025 Project Updates

2024 Project Updates Shane Andres Overview This past year, we have been working towards the creation of a ML audio classifier that can predict what stressors a bee colony is undergoing – like missing their queen, or having varroa mites. Through a collaboration with the university’s Robinson Lab, we got to collect data in two… Continue reading 2024 Project Updates

Drafted by the audio team at WN’s Documentation-palooza 2k24 TL;DR we are knocking on bee hives to make them angry because the sounds they make tell us how the hive is doing. Shane worked on the hardware, and Richard and Ashmit worked on the preliminary ML model Hardware Team This year, we mainly worked on… Continue reading Documentation 2024

Drafted by Shane Andres at WN’s Documentation-palooza 2k23 Overview The audio team is focused on putting together hardware and software in order to collect sound data from hives. Our goal this year was to use a raspberry pi (rpi) to record the sounds off of multiple microphones simultaneously, so that we can put them in… Continue reading Documentation 2023