Intellitraps

Summary

This project aims to pioneer development of next generation automation technologies for pest animal control. The technology can use computer vision and machine learning algorithms coupled with artificial intelligence to develop devices which can see, think and act to target specific pest animals.

Status

In progress

Objectives

  1. Use species recognition systems to identify target species and activate a control action
  2. Use technological advances in computer science to develop new systems to improve existing pest control methods.

All applications are significant innovations that automate manual actions resulting in land manager labour savings, and paving the way for further applications across a wider cohort of pest species.

Project Leader



Dr Paul Meek
Project Partners

This project is funded through an external research grant separate to the Centre for Invasive Species Solutions current innovation portfolio

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