TY - JOUR
T1 - WiseEye: next generation expandable and programmable camera trap platform for wildlife research
AU - Nazir, Sajid
AU - Newey, Scott
AU - Irvine, R. Justin
AU - Verdicchio, Fabio
AU - Davidson, Paul
AU - Fairhurst, Gorry
AU - van der Wal, Rene
N1 - Acceptance from webpage
Author not at GCU at time of publication
Applied Gold exception as immediate OA in OA journal. ET 19/12/19
PY - 2017/1/11
Y1 - 2017/1/11
N2 - 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.
AB - 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.
KW - software engineering
KW - wildlife research
KW - digital camera traps
U2 - 10.1371/journal.pone.0169758
DO - 10.1371/journal.pone.0169758
M3 - Article
SN - 1932-6203
VL - 12
JO - PLoS ONE
JF - PLoS ONE
IS - 1
M1 - e0169758
ER -