A Better Solution for Photo-Classification, Automatic Storage and Data Input of Camera Data From Wildlife Crossing Structures

摘要: Infrared-operated cameras have been used in wildlife studies for over two decades. Since their inception the technology has changed considerably and they are now commonly seen as an inexpensive, efficient non-invasive method of data collection. Camera use ecological field is rapidly increasing worldwide to help address important species conservation management objectives. However, given that digital can automatically record large numbers photographs, rather than collection, quickly become rate-limiting step studies. For example, photos must be downloaded interpreted before analyses conducted. All this time-consuming takes away time from research analysis, essentially requiring a part- or full-time technician manage process camera data. There few attempts develop photo-classification database programs aid interpretation storage photographs cameras. Databases exist designed primarily biodiversity monitoring occupancy analysis. Many road crossing structures relied on collection tool. These face same issues other regarding interpretation, input storage. Until now, authors unaware any program software assists researchers efficiently classify growing demanding mass continuously collected field. The purpose presentation describe semi-automated system developed refined through nearly decade Banff National Park, Alberta. currently monitor year-round 40 using 48 Bi-weekly checks result average 300,000 annually review, analyse, into database. Their customized image processing application uses Microsoft Access software, widely available front-end program. so once uploaded structure folders “cache” folder, project personnel review species, number sex individuals, direction travel information pertinent objective (behaviours, predator-prey interactions, small mammal presence, unique photos, etc.). allows quick classification inputs classified master database, stores archived photograph folder. user-friendly citizen scientists, critical resource project, trained it hours. flexible needs readily objectives outside monitoring. provide examples how evolved during last being today. They will highlight different today, what limitations are, others customize meet field-based Last, discuss integration scientists work future improving system.