TinyML Grasshopper Classifier
Enabling Non-Invasive Biodiversity Monitoring
At a glance
- Project leader : Dr. Tobias Peter
- Deputy of project leader : Dr. Matthias Nyfeler
- Project status : ongoing
- Funding partner : Internal (ZHAW digital / Digital Futures Fund)
- Contact person : Tobias Peter
Description
Utilizing AI for the classification of insect sounds, particularly those of grasshoppers, is a promising method to monitor biodiversity non-invasively in the field. Our project focuses on the development and implementation of a sustainable TinyML model. This model aims to efficiently classify grasshopper species based on their songs in real-time on a microcontroller with minimal computational resources.