Research questions you can now answer
GPS tells you where an animal goes. CollarID tells you what it's doing, hearing, and breathing — in the field, at full duty cycle, for the length of the deployment.
Distinguish vocalizing-while-running from vocalizing-at-rest in spotted hyenas without behavioral inference.
Synchronized audio + IMU + GPS lets behavioral states emerge from direct multi-modal measurement, not from probabilistic classifiers built on movement alone.
Build acoustic training sets for species ML models from continuous field audio rather than triggered recorders.
Long-form recording at deployment timescales replaces the sampling bias of trigger-based capture — you get the rare events alongside the common ones.
Quantify wildfire smoke exposure on free-ranging animals and the behavior changes that follow.
On-animal particulate, gas, temperature, and humidity sensing — recorded against the same timeline as movement and vocalization, so you see exposure events and their behavioral consequences in one file.
