Researchers use deep learning to support safer on-ice travel
A Waterloo Engineering team from the Vision and Image Processing (VIP) Lab is working with the Inuit-driven Arctic Eider Society (AES) to use deep learning to detect hazardous ice areas.
Led by Neil Brubacher (BASc ‘21 and MASc ‘24, systems design engineering), the team partnered with AES to add data about ice conditions to an app used by locals in Nunavut.