  Climate change and other anthropogenic factors have led to a catastrophic
decline in insects, endangering both biodiversity and the ecosystem services on
which human society depends. Data on insect abundance, however, remains
woefully inadequate. Camera traps, conventionally used for monitoring
terrestrial vertebrates, are now being modified for insects, especially moths.
We describe a complete, open-source machine learning-based software pipeline
for automated monitoring of moths via camera traps, including object detection,
moth/non-moth classification, fine-grained identification of moth species, and
tracking individuals. We believe that our tools, which are already in use
across three continents, represent the future of massively scalable data
collection in entomology.
