Funding: The work was supported by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1. The work of S. Newey and RJI was part funded by the Scottish Government's Rural and Environment Science and Analytical Services (RESAS). Details published as an Open Source Toolkit, PLOS Journals at: http://dx.doi.org/10.1371/journal.pone.0169758Peer reviewedPublisher PD

A Ahmadi

AC Burton

AF O'Connell

AS Glen

C Rutz

CL Tan

DE Swann

DJ Welbourne

EH Fegraus

F Rovero

Fabio Verdicchio

G Harris

Gorry Fairhurst

Houbing Song

J Porter

J Xiong

J Yang

JA Ahumada

JD Nichols

JLP Tack

JM Rowcliffe

JR Willmott

KRR Swinnen

KU Karanth

M Abi-Said

M Zárybnická

MW Tobler

Paul Davidson

PD Meek

R Kays

R Van der Wal

R. Justin Irvine

René van der Wal

RW Kays

S Hamel

S Nazir

S Newey

Sajid Nazir

Scott Newey

SR Sundarasen

TE Kucera

X Yu

PLoS ONE

English

PubMed

Crossref

WiseEye: Next Generation Expandable and Programmable Camera Trap Platform for Wildlife Research

Nazir Sajid

Newey Scott

Irvine R. Justin

Verdicchio Fabio

Davidson Paul

Fairhurst Gorry

van der Wal René

Public Library of Science (PLOS)

Nazir, Sajid

Newey, Scott

Justin Irvine, R

Verdicchio, Fabio

Davidson, Paul

Fairhurst, Gorry

van der Wal, René

Brage INN

WiseEye: Next generation expandable and programmable camera trap platform for wildlife research

The widespread availability of relatively cheap, reliable and easy to use digital camera traps has led to their extensive use for wildlife research, monitoring and public outreach. Users of these units are, however, often frustrated by the limited options for controlling camera functions, the generation of large numbers of images, and the lack of flexibility to suit different research environments and questions. We describe the development of a user-customisable open source camera trap platform named 'WiseEye', designed to provide flexible camera trap technology for wildlife researchers. The novel platform is based on a Raspberry Pi single-board computer and compatible peripherals that allow the user to control its functions and performance. We introduce the concept of confirmatory sensing, in which the Passive Infrared triggering is confirmed through other modalities (i.e. radar, pixel change) to reduce the occurrence of false positives images. This concept, together with user-definable metadata, aided identification of spurious images and greatly reduced post-collection processing time. When tested against a commercial camera trap, WiseEye was found to reduce the incidence of false positive images and false negatives across a range of test conditions. WiseEye represents a step-change in camera trap functionality, greatly increasing the value of this technology for wildlife research and conservation management

R Justin Irvine

Directory of Open Access Journals

WiseEye: Next Generation Expandable and Programmable Camera Trap Platform for Wildlife Research.

NORA - Norwegian Open Research Archives

The widespread availability of relatively cheap, reliable and easy to use digital camera traps has led to their extensive use for wildlife research, monitoring and public outreach. Users of these units are, however, often frustrated by the limited options for controlling camera functions, the generation of large numbers of images, and the lack of flexibility to suit different research environments and questions. We describe the development of a user-customisable open source camera trap platform named ‘WiseEye’, designed to provide flexible camera trap technology for wildlife researchers. The novel platform is based on a Raspberry Pi single-board computer and compatible peripherals that allow the user to control its functions and performance. We introduce the concept of confirmatory sensing, in which the Passive Infrared triggering is confirmed through other modalities (i.e. radar, pixel change) to reduce the occurrence of false positives images. This concept, together with user-definable metadata, aided identification of spurious images and greatly reduced post-collection processing time. When tested against a commercial camera trap, WiseEye was found to reduce the incidence of false positive images and false negatives across a range of test conditions. WiseEye represents a step-change in camera trap functionality, greatly increasing the value of this technology for wildlife research and conservation management.</div

Sajid Nazir (3632863)

Scott Newey (2794630)

R. Justin Irvine (2794627)

Fabio Verdicchio (3632872)

Paul Davidson (3632869)

Gorry Fairhurst (3632866)

René van der Wal (363347)

The Francis Crick Institute

Funding: The work was supported by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1. The work of S. Newey and RJI was part funded by the Scottish Government's Rural and Environment Science and Analytical Services (RESAS). Details published as an Open Source Toolkit, PLOS Journals at: http://dx.doi.org/10.1371/journal.pone.0169758Peer reviewe

Irvine, R. Justin

van der Wal, Rene

Aberdeen University Research

http://dx.doi.org/10.1371/journal.pone.0169758

WiseEye: next generation expandable and programmable camera trap platform for wildlife research

WiseEye: next generation expandable and programmable camera trap platform for wildlife research

Abstract

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Crossref

Public Library of Science (PLOS)

Brage INN

Directory of Open Access Journals

NORA - Norwegian Open Research Archives

The Francis Crick Institute

Crossref

Aberdeen University Research