Pallet tag classification for improved text recognition accuracy
Assignee
Walmart Apollo, LLC
Inventors
Yilun Chen, Zhaoliang Duan, Lingfeng Zhang, Mingquan Yuan, William Craig Robinson, Ishan Arora, Benjamin Ellison, Eric W. Rader, Elizabeth Ann Siler, Han Zhang, Abhinav Pachauri, Siddhartha Chakraborty, Raghava Balusu, Ashlin Ghosh, Avinash Madhusudanrao Jade, Subhash Anand, Aadarsh Gupta, Paul Lobo, Ketan Shah, Zhiwei Huang, Jing Wang, Rongdong Chai
Abstract
Examples provide for pallet classification and pallet tag text recognition. The system includes a pallet text manager that classifies a type of pallet tag based on detected lines of text in the pallet tag using a classification model. Qualified lines of text are selected from the detected lines of text based on the classification type and corresponding format of the text. Each qualified line of text is associated with a pallet attribute, such as a pallet identifier (ID), an item ID, or a date of creation of the pallet tag. Attribute values from the set of qualified lines of text are paired with location data for the current location of the pallet. The attribute values and the paired location data are saved in a pallet attribute table. The pallet attributes are used to identify the location of pallets in a retail facility with improved accuracy and efficiency.
CPC Classifications
Filing Date
2023-12-13
Application No.
18537949
Claims
20