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An IOT smart rodent bait station system utilizing computer vision

journal contribution
posted on 20.11.2020, 08:53 by Robert Ross, Lyle Parsons, Ba Son Thai, Richard Hall, M Kaushik
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Across the world billions of dollars of damage are attributed to rodents, resulting in them being classified collectively as the biggest animal pest in the world. At a commercial scale most pest control companies employ the labour intensive approach of deploying and manually monitoring rodenticide bait stations. In this paper was present, RatSpy, a visual, low-power bait station monitoring system which wirelessly reports both on bait station levels and intruders entering the bait station. The smart bait stations report data back to a custom designed cloud platform. The system performance was evaluated under realistic field conditions (on an active cattle farm) with initial results showing significant potential in terms of reducing manual labour, improving scalability and data.

Funding

This research was funded by Intelligent Water Networks (IWN).

Intelligent Water Networks (IWN)

History

Publication Date

19/08/2020

Journal

Sensors

Volume

20

Issue

17

Article Number

ARTN 4670

Pagination

15p. (p. 1-15)

Publisher

Multidisciplinary Digital Publishing Institute (MDPI)

ISSN

1424-8220

Rights Statement

The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.

Licence

Exports