Development of the WildTrax Platform for Acoustic Wildlife Data Analysis and Species Recognition

WildTrax is an online platform developed to manage ecological data collected by environmental sensors such as automated recording units (ARUs) and remote cameras. It analyzes bioacoustic data to identify vocalizing species through deep learning of spectrograms, and processes image data to classify mammals. These large, continuous datasets demand advanced tools for efficient analysis. Integration with mapping platforms allows users to link species data with spatial layers like land cover and human footprint to support ecological decision-making.

Users who engage with WildTrax gain a powerful, automated platform for collecting and analyzing ecological data using environmental sensors like ARUs and remote cameras. Future plans to expand the platform’s capabilities include: (1) automating species identification during user interaction, (2) improvements to identify overlapping calls in busy recordings using clustering algorithms and training models, (3) collecting field data to expand vocalization libraries for Alberta species, (4) integrating the platform with the ABMI Mapping Portal to visualize species data alongside land cover and human footprint layers, and (5) collaborating with tools like eBat to support a broader monitoring network.