Tidalx Ai Inc.

Ryan Heacock

Barnaby John James

Matthew Aaron Knoll

Harrison Pham

Andrew Rossignol

Matthew Stokes

Nupur Garg

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for underwater feed movement detection. In one aspect, the method may include the actions of obtaining images captured at different time points, where the images are captured by a camera and indicate feed that has been dispersed by a feeder for aquatic livestock inside an enclosure; determining, for each image, respective locations of the feed indicated by the image; determining, from the respective locations of the feed, a respective movement of the feed over the different time points; determining, based on the respective feed movement of the feed over the different time points, water current movement within the enclosure for the aquatic livestock; and outputting an indication of the water current movement.

Underwater feed movement detection

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that control devices in an aquaculture environment. One of the methods includes determining a particular objective for a robot that is operating in an aquaculture environment and determining one or more sensed conditions that are associated with the aquaculture environment. The particular objective is provided to an anti-fish-startling model evaluation engine that is configured to output actions, for a given objective, that accomplish the given objective while reducing a startling effect on nearby fish. Based on providing the particular objective to the anti-fish-startling model evaluation engine, one or more particular actions for accomplishing the particular objective are determined. The one or more particular actions are transmitted to another device.

Framework for controlling devices

Growing community of inventors

Cupertino, CA, United States of America

Ryan Heacock