US 12,299,627 B2
Machine vision system for advancement of trailer loading/unloading visibility
Youngjun Choi, Atlanta, GA (US); Po-Nien Lin, Decatur, GA (US); and Hyunki Lee, Johns Creek, GA (US)
Assigned to UNITED PARCEL SERVICE OF AMERICA, INC., Atlanta, GA (US)
Filed by United Parcel Service of America, Inc., Atlanta, GA (US)
Filed on Jun. 29, 2022, as Appl. No. 17/853,748.
Prior Publication US 2024/0005263 A1, Jan. 4, 2024
Int. Cl. G06Q 10/08 (2024.01); G06Q 10/0835 (2023.01); G06V 10/70 (2022.01)
CPC G06Q 10/08355 (2013.01) [G06V 10/70 (2022.01)] 19 Claims
OG exemplary drawing
 
1. At least one computer-storage media having computer-executable instructions embodied thereon that, when executed by a computing system having a processor and memory, cause the processor to perform operations comprising:
accessing a video indicative of the inside of a storage compartment from which items are being loaded or unloaded;
extracting video data for the video based at least on the items being loaded or unloaded from inside of the storage compartment to produce a plurality of video data features comprising a fill-level data feature and an object-detection data feature;
determining, using a fill-level machine learning (ML) model, a fill-level associated with the inside of the storage compartment based on at least the video and the fill-level data feature of the plurality of video data features;
classifying, using an object-detection ML model, an object detected inside of the storage compartment based at least on the video and the object-detection data feature of the plurality of video data features;
generating analytics indicative of the fill-level and the object; and
communicating the analytics to a display device to cause the display device to generate a graphical user interface (GUI).