US 11,849,707 B2
Method and system for external fish parasite monitoring in aquaculture
Russel Howe, Glendale, CA (US); Zachary Lizer, Burbank, CA (US); James Wallace Sarrett, Sunland, CA (US); Peter Jon Abrahamson, Burbank, CA (US); and Jascha Tucker Little, Austin, TX (US)
Assigned to INTERVET INC., Rahway, NJ (US)
Filed by Intervet Inc., Madison, NJ (US)
Filed on Nov. 23, 2022, as Appl. No. 18/058,497.
Application 18/058,497 is a continuation of application No. 16/767,624, granted, now 11,533,893, previously published as PCT/EP2018/085743, filed on Dec. 19, 2018.
Claims priority of provisional application 62/608,253, filed on Dec. 20, 2017.
Claims priority of application No. 18153818 (EP), filed on Jan. 29, 2018.
Prior Publication US 2023/0189767 A1, Jun. 22, 2023
Int. Cl. A01K 61/13 (2017.01); G06V 20/05 (2022.01)
CPC A01K 61/13 (2017.01) [G06V 20/05 (2022.01)] 12 Claims
OG exemplary drawing
 
8. A system for external fish parasite monitoring in aquaculture, comprising:
a camera (52) submerged in a sea pen containing fish (72, 74);
a target region within a field of view of the camera (52) that is illuminated with light of different intensities and/or spectral compositions
an electronic image processing system (78) for detecting fish (72, 74) in an image captured by the camera (52), identifying external fish parasite on the fish, and differentiating between external fish parasites of different type or age;
wherein the electronic image processing system uses a trained a neural network to identify and differentiate the external fish parasite.