Process
The U.S Forest Service's open source convolutional neural network classification algorithm, PNW Cnet (version 5), runs on audio immediately after it is captured, supporting the identification of 135 target classes including 75 species of birds, mammals and amphibians, along with environmental noises and anthrophony like gunshots, chainsaws, human voices and vehicles.