	US 12,080,040 B2
	Identifying overfilled containers
Prem Swaroop, Lexington, MA (US); Atish P. Kamble, Acton, MA (US); and Bodhayan Dev, Sturbridge, MA (US)
Assigned to The Heil Co., Chattanooga, TN (US)
Filed by The Heil Co., Chattanooga, TN (US)
Filed on Mar. 23, 2023, as Appl. No. 18/189,042.
Application 18/189,042 is a continuation of application No. 17/204,569, filed on Mar. 17, 2021, granted, now 11,615,275.
Claims priority of provisional application 63/012,895, filed on Apr. 20, 2020.
Prior Publication US 2023/0230340 A1, Jul. 20, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 10/25 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06V 10/20 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/56 (2022.01)

CPC G06V 10/255 (2022.01) [G06F 18/2148 (2023.01); G06F 18/217 (2023.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 10/7747 (2022.01); G06V 10/776 (2022.01); G06V 20/56 (2022.01)]

27 Claims

1. A method comprising:

pre-processing, by one or more processors, a plurality of images of one or more containers to extract a hue saturation value (HSV) for each of the plurality of images;

dividing, by the one or more processors and based on the HSV for each of the plurality of images, the plurality of images into different sets of images within the plurality of images;

after dividing the plurality of images into different sets of images, labeling, by the one or more processors, each image of the plurality of images as including either a container associated with a particular condition or a container not associated with the particular condition;

training, by the one or more processors and based on the labeling, a machine learning model using the plurality of labeled images; and

generating, by the one or more processors using the trained machine learning model, a prediction for a new image of a container, the prediction indicating whether the container in the new image is associated with the particular condition.