Green Crossing AI

Green Crossing AI is a wildlife conservation project implementing green ML model pipelines using low energy consumption to analyze camera trap data for pre-construction monitoring of a proposed wildlife crossing of Interstate-5 in southern Oregon.
Major Update: https://www.kdrv.com/news/top-stories/33-million-coming-to-wildlife-crossing-at-cascade-siskiyou-national-monument/article_e38b3b3a-befc-11ef-b691-f3092c0f6f4d.html

News

• 09/24
  Our GPU computer with Megadetector has been running all summer, with thousands of images processed.
• 02/24
  Our award announcement is here!
  Thank you to Wildlabs and Arm for supporting our project.

Team

Bernie Boscoe, Assistant Professor of Computer Science, Southern Oregon University

Karen Mager, Associate Professor of Environmental Science, Southern Oregon University

Matt Swanson, Researcher

Student Lab Team Current Members:

Shawn Johnson

Former Members:

Erik Harden

Harley Chappel

Contact

• We are always looking for collaborators. Are you a prospective ES student interested in AI? Or a CS student interested in machine learning and/or low power sustainable AI solutions? If you are interested in our project, email boscoeb@sou.edu

Credit: Karen Mager

Credit: Karen Mager