Chiral Software begins research in embedded machine learning for USDA Forest Service

Chiral Software was awarded a contract today to continue development of the CoyoteCam embedded system for machine learning based wildlife management. The goal is to automatically select animals using images, to control an electric fence which will selectively exclude a target species. The CoyoteCam system uses NVidia modules, with battery and solar power, for deployment at the Forest Service research station at the Department of Energy Savannah River Site.

This is an exciting use of machine learning and may have applications to many tasks for surveillance, security, and wildlife management, and continues Chiral’s earlier research work.