Bird and bat meter

Study level

Master of Philosophy

Honours

Vacation research experience scheme

Topic status

We're looking for students to study this topic.

Supervisors

Professor Margot Brereton
Position
Director, Research Performance
Division / Faculty
Science and Engineering Faculty
Associate Professor Susan Fuller
Position
Associate Professor in Ecology
Division / Faculty
Science and Engineering Faculty
Dr Catherine Leigh
Position
Adjunct Senior Lecturer
Division / Faculty
Institute for Future Environments
Professor Stuart Parsons
Position
Head of School, Biology and Environmental Science
Division / Faculty
Science and Engineering Faculty
Dr Erin Peterson
Position
Principal Research Fellow
Division / Faculty
Science and Engineering Faculty
Professor Paul Roe
Position
Professor
Division / Faculty
Science and Engineering Faculty

Overview

This project seeks to construct a device to acoustically monitor Australian wildlife and to present the detected species and sound summaries to end users through a website or app. The box will record and analyse the sounds for bird and bat calls and relay the findings to a website or application.

The project has a number of different parts which are suitable to different students depending on your interest.

Research activities

Research activities include:

  • designing and building a Raspberry Pi-based bird and bat detector
  • designing algorithms to detect birds and bats based on modern AI techniques including deep learning
  • working with end users on interesting interfaces to access the collected data and promoted engagement and interest in the natural environment.

Outcomes

The goal of the project is to produce a working prototype system. Individual students will work on different parts of the project depending on their interest and expertise. We anticipate the outcomes will also lead to a research paper.

Skills and experience

To be considered for this background, you will need a background in one of the following:

  • designing computer hardware
  • AI or machine learning
  • Human-Computer Interaction

Keywords

Contact

Contact the supervisor for more information.