US 12,279,599 B2
Turbidity determination using computer vision
Laura Valentine Chrobak, Menlo Park, CA (US); Peter Kimball, Mountain View, CA (US); Barnaby John James, Campbell, CA (US); and Julia Black Ling, Menlo Park, CA (US)
Assigned to TidalX AI Inc., Mountain View, CA (US)
Filed by TidalX AI Inc, San Ramon, CA (US)
Filed on Jul. 10, 2023, as Appl. No. 18/349,449.
Application 18/349,449 is a continuation of application No. 17/379,893, filed on Jul. 19, 2021, granted, now 11,737,434.
Prior Publication US 2024/0147968 A1, May 9, 2024
Int. Cl. A01K 61/95 (2017.01); A23K 50/80 (2016.01); G01N 21/53 (2006.01); G01N 33/18 (2006.01); G06F 18/22 (2023.01); G06N 20/00 (2019.01); G06V 40/10 (2022.01)
CPC A01K 61/95 (2017.01) [A23K 50/80 (2016.05); G01N 21/532 (2013.01); G01N 21/534 (2013.01); G01N 33/18 (2013.01); G06F 18/22 (2023.01); G06N 20/00 (2019.01); G06V 40/10 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving a first pair of images of an aquaculture environment, the first pair of images captured by a camera system at a first time;
receiving a second pair of images of the aquaculture environment, the second pair of images captured by the camera system at a second time different from the first time;
generating, from each of the first pair of images and the second pair of images, first and second respective distance distributions of one or more objects in the aquaculture environment, wherein each of the first and second respective distance distributions represents counts of objects at respective distances from the camera system;
determining, based on a comparison of the first and second distance distributions, a measure associated with an optical property of water in the aquaculture environment; and
generating, based on the measure, a signal configured to activate one or more systems associated with the aquaculture environment.