Cargando…

An IoT Smart Rodent Bait Station System Utilizing Computer Vision

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 b...

Descripción completa

Detalles Bibliográficos
Autores principales: Ross, Robert, Parsons, Lyle, Thai, Ba Son, Hall, Richard, Kaushik, Meha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506980/
https://www.ncbi.nlm.nih.gov/pubmed/32825006
http://dx.doi.org/10.3390/s20174670
_version_ 1783585137501405184
author Ross, Robert
Parsons, Lyle
Thai, Ba Son
Hall, Richard
Kaushik, Meha
author_facet Ross, Robert
Parsons, Lyle
Thai, Ba Son
Hall, Richard
Kaushik, Meha
author_sort Ross, Robert
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7506980
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75069802020-09-30 An IoT Smart Rodent Bait Station System Utilizing Computer Vision Ross, Robert Parsons, Lyle Thai, Ba Son Hall, Richard Kaushik, Meha Sensors (Basel) Article 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. MDPI 2020-08-19 /pmc/articles/PMC7506980/ /pubmed/32825006 http://dx.doi.org/10.3390/s20174670 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ross, Robert
Parsons, Lyle
Thai, Ba Son
Hall, Richard
Kaushik, Meha
An IoT Smart Rodent Bait Station System Utilizing Computer Vision
title An IoT Smart Rodent Bait Station System Utilizing Computer Vision
title_full An IoT Smart Rodent Bait Station System Utilizing Computer Vision
title_fullStr An IoT Smart Rodent Bait Station System Utilizing Computer Vision
title_full_unstemmed An IoT Smart Rodent Bait Station System Utilizing Computer Vision
title_short An IoT Smart Rodent Bait Station System Utilizing Computer Vision
title_sort iot smart rodent bait station system utilizing computer vision
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506980/
https://www.ncbi.nlm.nih.gov/pubmed/32825006
http://dx.doi.org/10.3390/s20174670
work_keys_str_mv AT rossrobert aniotsmartrodentbaitstationsystemutilizingcomputervision
AT parsonslyle aniotsmartrodentbaitstationsystemutilizingcomputervision
AT thaibason aniotsmartrodentbaitstationsystemutilizingcomputervision
AT hallrichard aniotsmartrodentbaitstationsystemutilizingcomputervision
AT kaushikmeha aniotsmartrodentbaitstationsystemutilizingcomputervision
AT rossrobert iotsmartrodentbaitstationsystemutilizingcomputervision
AT parsonslyle iotsmartrodentbaitstationsystemutilizingcomputervision
AT thaibason iotsmartrodentbaitstationsystemutilizingcomputervision
AT hallrichard iotsmartrodentbaitstationsystemutilizingcomputervision
AT kaushikmeha iotsmartrodentbaitstationsystemutilizingcomputervision