Creation of a study design based on best practices for the project’s objectives.
Receiving SD cards, hard drives. Uploading and structuring data for redundant storage. Setting up organizations and projects in WildTrax.
Redundant data storage at the University of Alberta in Edmonton, Alberta. Calculated price guarantees data storage for 5 years.
Expert processing of remote camera data; applying “tags” to individuals or objects detected in images, species verification, and data quality control using WildTrax.
Creation of a high-quality online report including reproducible code and analysis.
1 Final count of images will be calculated at invoicing; based on the average number of images per deployment and the time required to tag “Species,” “Individual count,” “Age class,” and “Sex class.” Additional cost may be incurred if deployments are larger than average or if tagging of additional fields is required.
Booking cycles for 2024–25
Data cycle schedules help us provide you high quality data in line with your expectations. Depending on the size and timing of your request, certain services may progress over multiple cycles.
Contact us early on in your planning process to confirm that your data processing will be incorporated into the desired cycle.
| Processing Cycle | Data Intake Deadline | Processing Completion Date |
|---|---|---|
| April–May | April 5, 2024 | May 31, 2024 |
| June–July | June 7, 2024 | July 31, 2024 |
| August–September | August 9, 2024 | September 30, 2024 |
| October–November | October 8, 2024 | November 30, 2024 |
| December–January | December 9, 2024 | January 31, 2025 |
| February–March | February 7, 2025 | March 31, 2025 |
common questions
Here are some frequently asked questions about our camera services.
If you don’t see your question answered here, don’t hesitate to reach out and send us a message.
Remote cameras (also known as “wildlife cameras” or “camera traps”) each consist of a digital camera with an external flash and/or passive infrared (PIR) sensor that is triggered to capture images or video through different means (e.g., mechanical triggers, active infrared sensors, pre-programmed settings) (Wearn & Glover-Kapfer, 2017).
Remote cameras are an increasingly common tool used to measure a variety of wildlife attributes. For instance, remote cameras can help measure presence (Kucera & Barrett 2011), abundance (Carbone et al. 2001), density, population composition, species richness and diversity (Ahumada et al. 2011), habitat use and distribution (Whittington et al. 2019), activity patterns (Frey et al. 2017), and behaviour (Murray et al. 2016).
While remote cameras are most commonly used to monitor medium to large-sized mammals, they have also been used to detect small mammals (e.g., Mills et al. 2016; Tschumi et al. 2018) and birds (e.g., Kruger et al. 2018; Randler & Kalb 2018).
Remote cameras offer high accuracy rates with less cost and invasiveness than other forms of census (Burton et al. 2015; Kucera & Barrett 2011; Steenweg et al. 2017); are able to continuously collect data (images or video) for multiple species simultaneously; and they may help engage citizens in wildlife monitoring and management (Wearn & Glover-Kapfer 2017).