US 11,704,888 B2
Product onboarding machine
Francois Chaubard, Millbrae, CA (US)
Assigned to Focal Systems, Inc., Millbrae, CA (US)
Filed by Focal Systems, Inc., Burlingame, CA (US)
Filed on Jul. 14, 2021, as Appl. No. 17/376,088.
Application 17/376,088 is a continuation of application No. 16/575,298, filed on Sep. 18, 2019, granted, now 11,080,559.
Claims priority of provisional application 62/733,079, filed on Sep. 18, 2018.
Prior Publication US 2021/0342639 A1, Nov. 4, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 10/25 (2022.01); G06V 10/34 (2022.01); G06V 20/64 (2022.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06V 10/774 (2022.01)
CPC G06V 10/25 (2022.01) [G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06V 10/34 (2022.01); G06V 10/774 (2022.01); G06V 20/653 (2022.01); G06V 2201/10 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
capturing image data of a product using a plurality of cameras, the image data including a plurality of image frames and being captured while the product is moving in one or more dimensions;
associating a product identifier for the product with each of the plurality of image frames;
identifying a plurality of segmentation masks comprising a segmentation mask for the product in each of the plurality of image frames each segmentation mask corresponding to an outline of the product as derived from a respective bounding box identified in each of the plurality of image frames; and
optimizing the plurality of segmentation masks by inputting the plurality of image frames into a machine learning model, the machine learning model trained on the plurality of segmentation masks, the machine learning model outputting a set of optimized segmentation masks for the product.