US 12,190,613 B2
Hierarchical systems and methods for automatic container type recognition from images
Yan Zhang, Buffalo Grove, IL (US); Tong Shen, Buffalo Grove, IL (US); and Santiago Romero, Mount Airy, MD (US)
Assigned to Zebra Technologies Corporation, Lincolnshire, IL (US)
Filed by ZEBRA TECHNOLOGIES CORPORATION, Lincolnshire, IL (US)
Filed on Nov. 1, 2019, as Appl. No. 16/672,179.
Prior Publication US 2021/0133470 A1, May 6, 2021
Int. Cl. G06V 30/10 (2022.01); G06V 10/96 (2022.01); G06V 20/64 (2022.01)
CPC G06V 20/64 (2022.01) [G06V 10/96 (2022.01); G06V 30/10 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A system, comprising:
a container recognition component configured to receive an image and perform container type recognition and localization analysis of the image based on a shape of at least one container present in the image, to produce one of:
(i) a first output indicating a container type is identified;
(ii) a second output corresponding to a first set of container types, and
(iii) a third output corresponding to a second set of container types;
a character recognition component configured to perform further analysis of the image, responsive to the container recognition component not being able to determine a container type from the first set of container types, to identify alphanumeric characters and determine a container type from the first set of container types; and
a 3D point cloud component configured to perform further analysis of the image, responsive to the container recognition component not being able to determine a container type from the second set of container types, to determine a container type from the second set of container types,
wherein, responsive to the container recognition component not being able to produce the one of three outputs satisfying a confidence level, the container recognition component is further configured to apply a temporal coherence constraint on the image and a plurality of previous sequential frames to produce the one of three outputs.